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Citation-based systematic literature review of energy-growth nexus: An overview of the field and content analysis of the top 50 influential papers
Abstract
This study is a systematic survey of literature on the energy-growth nexus, which has been carried out with a view to identifying the leading sources of knowledge in the forms of the most influential journals, authors, and papers. This study not only recognizes and classifies the well-known methodologies used in the energy-growth nexus analysis but also reveals intriguing content-based findings, with quantitative measures for the top 50 papers ranked according to the highest average citations per year. This survey is unique in that the process of selecting articles is entirely objective, allowing the research community's opinions to take the lead in the process rather than any subjective judgments of the authors. In this way, we examine 1041 peer-reviewed articles that specifically focused on the energy-growth nexus. We found that, as of the end of 2017, with 200 articles, Energy Policy is the leading journal publishing on this area while Energy Economics, with a total of 25,352 citation counts, holds the highest impact on this field of research. In addition, the most frequently cited article by the scholastic community in terms of average citations per year has been a literature survey conducted by Ozturk (2010). Our study's main conclusion, based on a thorough content analysis, is that the nexus results of previous studies are generally inconclusive, with conflicting policy implications. This is not helpful and to a large extent is due to a lack of an appropriate theory. This, we contend, is essentially a methodological weakness and could be addressed by incorporating an appropriate testable economic/environmental theory.
... Selecting relevant articles for this research was conducted through a systematic literature review (Cronin, 2011). We searched for relevant articles in the Scopus database, a widely used source for conducting systematic literature reviews (Ahmad et al., 2020). The filteration and screening has been carried out using Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. ...
... Citation-based analysis, and b) Content analysis. Citation-based analysis is a bias-free tool designed to summarize a body of literature systematically (Ahmad et al., 2020). This tool provides a plurality of information based on the number of citations, high-impact articles, journals, authors, key topics in current research, and publication trends (among other potential findings. ...
... In contrast, content analysis is designed to extract content of interest from articles followed by coding (e.g., theme of the article, type of AI used, main findings, future research directions, etc). This tool is often used to identify research gaps in the social sciences (Ahmad et al, 2020). In this chapter, we primarily focus on understanding themes, main findings, practical implications, and future research directions based on our sample of articles published thus far. ...
In this chapter, a snapshot of the rapidly growing field of artificial intelligence (AI) in business education is provided based on citation-based analysis using the Bibiliometrix R- tool, Vos viewer software and content-based analysis. The results reveal findings that set a roadmap for the future of business education and for educators across many spheres of the business domain. The findings also show that the field is emergent and growing, with most extant papers published in 2023. Current work is primarily focused on utilizing AI in business education with no subfields yet emerging (i.e., Ethical aspects of AI in business education, academic research, etc.), even though these areas represent a promising field for future research. Among all business subfields, most work relates to the entrepreneurship domain, with some work relevant to marketing and accounting. Based on hitherto published works, no scholarly experts were identified. Practical recommendations for business educators and educational leaders along with future research directions are presented.
... For example, Google Scholar is the most extensive database with generous citation counts. However, there is a compromise on the quality since Google Scholar not only takes the citation counts from published articles but also from working papers and other less-quality publications, e.g., conference proceedings and book chapters (Ahmad et al., 2020a;Asatullaeva et al., 2021;Harzing & Alakangas, 2016). On the other hand, the WoS is regarded as a high-quality database that selects citation counts from the papers that have only been published in the WoS journals index (Franceschini et al., 2016;Harzing & Alakangas, 2016). ...
... Co-citation analysis is a unique method for studying the cognitive structure of science (Ahmad et al., 2020a;Chatha et al., 2018). Co-citation analysis involves tracking pairs of papers cited in the source articles (Ahmad et al., 2020a). ...
... Co-citation analysis is a unique method for studying the cognitive structure of science (Ahmad et al., 2020a;Chatha et al., 2018). Co-citation analysis involves tracking pairs of papers cited in the source articles (Ahmad et al., 2020a). When the same pairs of documents are co-cited by many authors, research clusters begin to form (Ferreira, 2018). ...
Researchers’ interest in studying the relationship between age and entrepreneurship has mushroomed in the last decade. While over a hundred articles are published and indexed in the Scopus database alone with varying and fragmented results, there has been a lack of effort in reviewing, integrating, and classifying the literature. This article offers a framework-based systematic review of 174 articles to comprehend the relationship and influencing factors related to an individual's age and entrepreneurship. Bibliographic coupling is used to identify the prominent clusters in the literature on this topic and the most influential articles. Also, the TCCM review framework is adopted to provide a comprehensive insight into dominant theories applied, contexts (geographic regions and industries) incorporated, characteristics (antecedents, consequences, mediating and moderating variables, and their relationships) investigated, and research methods employed in age and entrepreneurship research over the last fifteen (2007–2022). Though the literature covers an array of industries, to better understand the age-entrepreneurship correlation, we need to investigate the new-age technologically driven business sectors further to expand our knowledge. Furthermore, we detect that the Theory of Planned Behavior mostly dominates the literature, with other theories trivially employed. Finally, we apply the TCCM framework to suggest fertile areas for future research.
... After selecting open and closed space syntax manuscripts selected from the PRISMA method, frequency analyzes were carried out, using the Content Analysis Method (CAM) [29][30][31]39,40], for identification of the most used terms in the selected manuscripts through the degree of similarity by frequency between the space syntax studies identified in the literature. CAM is a technique that uses bibliographic material to be analyzed and classified by themes focused on the classification detected by the observing researcher in relation to the understanding of discourse [41,42], between open and closed spaces related to spatial syntax. ...
... CAM is a technique that uses bibliographic material to be analyzed and classified by themes focused on the classification detected by the observing researcher in relation to the understanding of discourse [41,42], between open and closed spaces related to spatial syntax. Considering the application of CAM in the selected manuscripts [36][37][38], the verification of terms that are repeated in these manuscripts with greater frequency is presented [39,40]. ...
... Based on the five categories of analysis determined a priori based on the literature [39,40] in relation to open environments, the frequency was presented by enumeration. In this context, the following frequencies of terms by numerical repetitions were considered [29], Tannous et al. [30], El-Darwish [31], Garau and Annunziata [32], Gharaibeh et al. [33], and Soltani et al. [34]. ...
Space syntax is utilized to model flows through open and closed built environments, which enables project innovation by rethinking the design of spaces on a global scale with better flow quality. Therefore, studies focused on spatial syntax, when related to comprehensive flows in open and closed spaces, provide a holistic and valuable understanding of the dynamics of user flows in the urban environment from a perspective centered on the United Nation’s Sustainable Development Goal (SDG) 11. This goal requires urban planners and designers to use approaches that support future decisions focused on urban design and planning. The object of investigation of this bibliographic study consists of an approach to representing space syntax in open spaces and closed spaces on a global scale. This study aims to analyze the concepts of pedestrian flows (open and closed) by a space syntax-based bibliographical approach on a global scale, demonstrating the capability of improvements in SDG 11 as applied to the architecture of sustainable flows. Methodologically, bibliographic searches were carried out using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method in databases linked to Scopus and ScienceDirect, focusing on space syntax in relation to the following terms: “open spaces” and “closed spaces”. Using the PRISMA method, 1986 manuscripts dealing with the term “open spaces” and 454 manuscripts dealing with the term “closed spaces” were identified, with the manuscripts most relevant to the topic being selected, followed by a frequency analysis based on a Content Analysis Method (CAM) to identify words with a degree of similarity, related to “spatial syntax: flow in urban environments” and “spatial syntax in closed built systems” in relation to the SDG 11. The results demonstrate the relevance of seven manuscripts in open spaces and four manuscripts in closed spaces related to space syntax. Frequency analysis identified open spaces and produced terms with frequencies such as space = 79 and shape = 46, showing a higher frequency in flows. In closed spaces, the literature has shown that the central term corresponds to space = 79 and flow = 76, making it possible to evaluate flows in circulation areas within the built environment. This study allows a better understanding of flows, highlighting the importance of the urban architecture in the functionality of user flows in sustainable environments, which is capable of contributing to the SDG 11, in the interface of architectural projects on a global scale.
... This study can be classified as qualitative and quantitative, through the theoretical references reached in this literature review, based on the Scopus database between 2019 and 2022, which are related to the subject of Space Syntax in open or closed spaces. Thus, a frequency analysis was carried 3 out, applying the Content Analysis Method (CAM) [29,30], to identify the terms that were necessary to attribute the degree of similarity by frequency (were repeated) between Space Syntax studies identified in the literature. ...
... Based on the five categories of analysis determined a priori based on the literature [29,30] in relation to open environments, the frequency was presented by enumeration. In this context, the following frequencies of terms by numerical repetitions were considered: mobility= 16; quality of life= 21; urban mesh= 30; shape=46; and space= 79. ...
... The seven categories of indoor analysis were presented by repetitive frequency numbers [38]. Such categories were used a priori based on the literature and the frequency established in the final compiled data [29,30]. These are the following terms in relation to their frequencies: circulation= 14; moves= 30; movements= 31; shape=46; environment= 52; flow=76; space= 79. ...
Space syntax can be potentially applied for the evaluation of quality of user flows particularly in solving problems of sustainable projects in spaces intended for users to move around. This study aims to analyze the concepts of pedestrian flows (open and closed) by space syntax based bibli-ographical approach on a global scale, demonstrating the capability of improvements in Sus-tainable Development Goals (SDGs) as applied to the architecture of sustainable flows. Scopus theoretical reference bases were used, which are directly related to the theme of space syntax in open and closed spaces. Frequency analyzes were carried out, applying the content analysis, to identify words with a degree of similarity, related to “space syntax: flow in urban environ-ments” and “space syntax in closed built systems”, in relations to the SDGs. The results show that pedestrian flows identified in the literature aid to understand the global production on space syntax in open and closed spaces, directed to user flows in the built environment, where many environments of flows in the built space analyzed become unsustainable because they do not present full flow efficiency. In our study on space syntax, the following central terms were identified: pedestrian movements (open urban systems) and space (closed built systems), which allows a better understanding of the flows, highlighting the importance of the urbanist architect on the functionality of user flows in sustainable architectural projects on a global scale. The most frequent categories for open environments were the terms space and form and for closed envi-ronments were space and flow.
... Since the energy crises of the 1970s, such nexus analysis has gained increasing attention among economists, environmentalists, and policymakers alike. [3] is a comprehensive systematic literature survey on the energy-output nexus. Among thousands of papers included in that survey (e.g., [4,5]; to name a few recent ones), two seminal papers stand out and deserve to be revisited thoroughly and globally for the following reasons. ...
... For example, if the conservation hypothesis applies to a country, the energy-saving policy would not harm economic growth or a nation's wealth. Like all other literature reviews on this topic, 2 [3], identify K & K is the first empirical study to analyse the causation between energy and output variables. It is then followed by thousands of papers using various variables and approaches and in the context of various countries. ...
... Grand Total 18 (%11) 139 (%89) 157 2 Being the first systematic literature review of its kind on this topic [3], identifies seven independent traditional literature reviews in this area, namely [6]: A literature survey on energy-growth nexus. Energy Policy, 38, 340-349 [8]. ...
[1,2] are two highly cited studies on the relationship between energy and development. These are two seminal empirical papers touching upon the notions of causation and correlation, respectively, as far as energy economics is concerned. This study is a comprehensive note on these notions’ interconnectedness by revisiting both studies thoroughly and globally. None of these studies has ever been revisited at a global scale to the best of our knowledge. To this end, we first review deeper conceptual and philosophical concerns towards causation and correlation for making a clear distinction between true and spurious causation/correlation. We then develop a novel method to exclude spurious measures from the true ones. We also statistically test several hypotheses regarding the relationship between energy use and wealth creation as captured by income groups. We could not confirm a definite consistency in pair-wise causation between energy and welfare variables at the country levels and across distinct estimation periods. Nor could we denote any strong correlation between energy variables and wealth creation. Causation results are not surprising as previous studies asserted similar remarks. However, this study firmly says that these are mainly due to the circularity and non-linearity of the inter-relationships between energy and welfare variables over time, as new institutions might influence development processes.
... To this end, the methodology of this study is based on a citation-based systematic literature review (SLR) that is different from a traditional literature review (TLR). At TLR, researchers often critically summarise, analyse, evaluate, and clarify ideas from articles published by other researchers (Wakefield, 2014;Ahmad, Aghdam et al., 2020). This method usually follows a subjective approach without providing criteria for selecting publications and analysing a limited number of studies. ...
... There are two schools of thought in literature studies: (a) Traditional Literature Reviews (TLR) that summarise, critically analyse, evaluate, and clarify ideas that have been presented by other researchers (Wakefield, 2014); and (b) Systematic Literature Reviews (SLR) that develops: (i) an article search strategy in order to ensure that all the relevant articles are included; (ii) a strict inclusion and exclusion criteria is established; and (iii) a template for data entry, using well-defined categories and coding schemes to produce unbiased outcomes (see, e.g. Ahmad, Aghdam et al., 2020). According to Tranfield et al. (2003, p. 209), 'Systematic reviews differ from traditional narrative reviews by adopting a replicable, scientific and transparent process,' which produces more unbiased outcomes. ...
... We used the Scopus database for article selection. It is a widely used and acceptable database among researchers (for example, Geetha & Kothainayaki, 2019;Ahmad, Aghdam et al., 2020). Several other databases provide citations, namely Google Scholars and Web of Science (WoS), but they have pros and cons. ...
Sustainable innovation practice is an important step to survive globally in a competitive environment for an economy or business commuity. This study aimed to provide comprehensive insights into sustainable innovation research. To this end, we conducted a citation-based systematic literature review (SLR) to identify evolving trends in sustainable innovation research. We reviewed 747 articles from the major database from 1998 to 2019 to identify an influential journals, authors, articles and trends of keywords. We also performed content analysis (CA) of the most influential articles to identify research attributes, such as sustainable innovation concepts, unit of analysis, data, method, and research themes. We synthesised and interpreted the results of both the SLR and CA to formulate future research directions. The paper reveals that out of various themes, the sustainable business model (SBM) has been the most focused area within the top-100 most influential paper, implying that the SBM is a critical challenge for sustainable innovation practices and quality management. Such a finding is useful for future researchers to understand current trends and explore existing gaps in sustainable innovation research.
... Articles concerned with the SEW were derived from the Scopus database, a prevalent source for conducting citation analyses and systematic literature reviews (Ahmad et al., 2020a). Scopus database integrates the features of other competing databases and provides a high utility to its users (Falagas et al., 2008). ...
... Hence, citation analysis is a handy tool to analyze a large number of studies systematically. By providing information on the top journals and the comparable impact of the most important authors, it offers a starting point for the authors planning to perform research in a particular area (Ahmad et al., 2020a). Citation analysis identifies the relevant articles, journals, and authors based on the number of citations (Ahmad et al., 2020b). ...
... Recently, it has become popular in the social sciences and is used to a greater extent in conducting SLRs. It is highly appropriate for identifying the existing research gaps (Ahmad et al., 2020a). Content analysis in this SLR paper is performed for the top 25 SEW articles ranked based on the average citations per year. ...
Purpose
The study provides the emergence and evolution of the socioemotional wealth (SEW) concept in the family business field from 2007 (the inception date) until 2021. To provide a better overview of this notion, the study unfolds a deeper understanding of this term throughout the systematic literature review (SLR).
Design/methodology/approach
The study applies a systematic literature review (SLR) by analyzing the sample of 185SEW articles extracted from the Scopus database. To identify all relevant studies, the article selection process was carefully designed and divided into two phases with clear steps: identification of studies via databases and identification of studies via previous studies' reference lists. Selected studies were analyzed using the Bibliometrix R-tool, resulting in an analysis of the evolution of the trends in the SEW literature, citation analysis, and network analysis. Finally, this SLR included the content analysis of the 25 most-cited SEW articles.
Findings
The study provides a relevant and comprehensive overview facilitating empirical and theoretical research in this field and paving the way to develop new themes. The bottom line of the important findings is that the SEW concept is relatively new, alluding to a wealthy venue for future works. Other results and implications are discussed on the family business and SEW theme. Additionally, the study provides suggestions which could be used for future works in this area.
Originality/value
This is the first article related to the SEW concept in the family business. It portrays a clear picture of this field, providing relevant information on what has been done, as well as what the future possibilities are that might bode the future horizons in family businesses.
... Apergis and Payne (2009) are mentioned by Ozturk (2010) as relevant authors/studies using multivariate models in energy-growth nexus. Ahmad et al. (2020) study 1041 peer-reviewed articles from high quoted journals of energy that focus on the energy-growth nexus. They so make a top 50 papers ordered by the highest average citations per year. ...
... Another author, Payne (2010) was found to be the most cited (5265 citations). The main conclusion of Ahmad et al. (2020) was also that previous studies stay generally inconclusive, with conflicting policy implications caused, in their opinion, by a lack of an appropriate theory applied. Payne (2010) also makes a large literature review on energy-growth nexus, on more than 100 studies during the 1978-2008 interval. ...
The aim of this paper is to examine possible correlations between economic growth and energy consumption in the European Union (EU27) member economies for the 1995-2021 interval. It searches for some short/long term relationships of these through a panel type model, based on the Cobb-Douglas neoclassic production function. Reference examples in the literature and tests applied for unit roots and cointegration determine our option for an autoregressive distributed lag (ARDL) model able to identify both common coefficients of long-term relationship between variables and individual (specific to each EU member country) coefficients on short-term relationships. The per capita gross domestic product (GDP), as endogenous variable, is facing three exogenous here chosen, that are: labor force participation rate (Labor); fixed capital formation (GFCF) and the variable of interest primary per capita energy consumption (PEC). Our results indicate a constant per capita GDP growth concomitant with the energy consumption reduction - both these on aggregate in the EU region - thus suggesting a possible decoupling of economic growth from energy consumption for recent years. But such a possibility wouldn’t necessarily deny the existence of a long-term relationship between these two factors. These results come to be completed by the ones of each individual EU member country, and so each one of these will be found with its, existing or not, short- and long-term relationships between the model variables.
... In this context, energy use is particularly relevant, because it both is a common factor of production, and, if sourced from fossil fuels, also leads to various critical environmental pollutants, including SO 2 and CO 2 emissions. Several scholars, such as Adewuyi and Awodumi (2017b) and Ahmad et al. (2020), have summarized this sub-strand of research. Early, seminal work was conducted by Kraft and Kraft (1978), who identified a unidirectional relationship between gross national product and energy consumption. ...
... In doing so, research has investigated not only aggregate energy measures, but also energy intensity (Bashir et al., 2021;Fisher-Vanden et al., 2004) as well as the utilization of specific energy carriers, such as fossil fuels, renewables, and electricity (Adewuyi and Awodumi, 2017a;Hille and Lambernd, 2020;Xiang and Lawley, 2019). Despite numerous studies conducted across various countries and sample periods, results have been heterogeneous, rendering it difficult to draw definitive conclusions about the energy-growth nexus (Ahmad et al., 2020). ...
In light of the energy crisis following the Russian invasion of Ukraine, policymakers postulated to lower fossil fuel consumption. Focusing on Europe, we analyze whether domestic energy consumption was reduced in the past because of increased geopolitical risk (GPR) in fossil fuel supplier countries. For this purpose, we adopt an aggregate GPR measure that combines information on GPR in supplier countries with rich bilateral trade data for oil, natural gas, and coal. We estimate the impact of GPR related to fossil fuel imports utilizing an instrumental variable approach and a growth-energy use model. Our results indicate that during the period 2000–2019, increased GPR in coal supplier countries entailed reductions in both coal and total energy consumption. Moreover, economic growth effects on fossil fuel consumption were partly reduced by risks related to coal and natural gas imports. Similarly, if mediated by a high domestic import dependency or government effectiveness, GPR partly lowered the consumption of coal and natural gas. Regarding the energy transition, we find indications of a partial shift from fossil fuels to renewable energy in response to GPR abroad. That is, concurrent to the partial reduction in fossil fuel consumption, GPR in coal supplier countries increased renewable energy consumption.
... We have used the Scopus database which is a popular source for conducting citation analyses and systematic literature reviews. Thus, articles studying the hotel sector productivity and efficiency are derived from that database (Ahmad et al., 2020b(Ahmad et al., , 2020aMassaro et al., 2016;Menegaki et al., 2021). We have relied on the Scopus database because it combines the good features of other competing databases and offers its users a high level of utility and visibility (Ahmad et al., 2020c;Asatullaeva et al., 2021;Falagas et al., 2008;Naveed et al., 2022Naveed et al., , 2023 (Anwar et al., 2022(Anwar et al., , 2021Pranckutė, 2021). ...
... It has gained popularity recently in the social sciences and is more frequently utilized for conducting SLRs. It is ideal for determining the current gaps in the research (Ahmad et al., 2020a). We extracted the efficiency measurement technique, the efficiency type that was measured, the functional form, the variables that were used as inputs and outputs, the nation in which the sampled hotels are located, and/or the sample size of hotels for this study. ...
This paper conducts an extensive systematic literature review on the measurement of efficiency in the hotel sector, which is the cornerstone of tourism. Thus, scrutinizing its performance measurement is vital for the advancement and strategic development of the sector. Exploiting the Scopus database, the paper offers a unique methodology for documenting sample transparency and selection objectivity and can constitute an example for future literature reviews. A range of articles is assessed to discern prevailing trends, key authors, and influential journals. A division of parametric and non-parametric nature, various efficiency measurement methodologies, the input and output variables, geographical covering as well as various other metrics and benchmarks have been included. The study reveals a predominant focus on technical efficiency and commonly employed input variables such as the number of hotel rooms and employees. The paper suggests future research directions, advocating for a broader exploration of efficiency dimensions, including profit and cost aspects, the integration of emerging variables like dig-italization and environmental factors and the use of larger samples. This study provides a comprehensive overview beneficial for academics, industry practitioners , and policymakers, synthesizing a clear orientation in the subject and indicating critical research routes
... Generally, there are two broad categories of literature reviews: the traditional literature review (TLR) and the SLR (Ahmad, Aghdam, et al., 2020). TLR is the most common approach in every field of research. ...
... Quite a few studies use nowadays the SLR methodology, and these reviews have been published in top tier journals. These disciplines include Management (Colicchia & Strozzi, 2012;Adams et al., 2017;Durach et al., 2017;Hussain et al. (2023)), Marketing (Coombes & Nicholson, 2013;Dangelico & Vocalelli, 2017;Nill & Schibrowsky, 2016), Human Resources (Hohenstein et al., 2014;Macke & Genari, 2019;Nolan & Garavan, 2016) Information Systems (Bandara et al., 2011;Collins et al., 2021;Tummers et al., 2019), Operations (Thomé et al., 2016;Ntabe et al., 2015;Glock et al., 2019), Tourism Mariani et al., 2018;Yang et al., 2017;Yung & Khoo-Lattimore, 2017) General Business (Gast et al., 2017;Morioka & de Carvalho, 2016;Reim et al., 2015), Energy (Ahmad, Aghdam, et al., 2020), Environment (Menegaki et al., 2021), and Economics (Alkhudary et al., 2020;Fiaz et al., 2023;Gregorio et al., 2018;J ambor & Török, 2019). ...
This systematic literature review examines cryptocurrency forecasting trends, influential sources, and research themes. Following PRISMA guidelines, 168 articles from Q1 or A‐tier journals in the Scopus database were analyzed using bibliometric techniques. The findings reveal a significant increase in cryptocurrency forecasting research output since 2017, particularly in 2021. “Finance Research Letters” emerges as the most productive journal, whereas “Economics Letters” receives the highest number of citations. Elie Bouri is identified as the most prolific author, and China is the top contributor country. Key research themes include bitcoin, cryptocurrency, volatility, forecasting, machine learning, investments, and blockchain. Future research directions involve utilizing internet search‐based measures, time‐varying mixture models, economic policy uncertainty, expert predictions, machine learning algorithms, and analyzing cryptocurrency risk. This review contributes unique insights into the field's growth, influential sources, and collaborative structures and offers a foundation for advancing methodology and enhancing cryptocurrency forecasting models.
... This type of analysis is facilitated by the digitization of papers and many times is based on content analysis. Some scholars are doing it very well (see [2,9,16]). A second angle could start with a plea for giving more space and weight to the social sciences in decision-making arenas or interdisciplinary research groups (see [34]). We often complain about the ancillary role of sociology in teams that have to plan large public works or smart cities. ...
... Socialisation refers to two aspects: the learning of ways of living in a society, the sharing of goods or services. 2 For the first aspect, there are socialisation agencies and practices [1], and for the second a variety of arrangements, such as car sharing and car-pooling, which connect to energy consumption. More structured examples of socialisation as sharing are energy cooperatives and energy communities, which comprise an immense literature themselves [24]. ...
The paper aims to illustrate the different roles that social sciences can play in the study of the energy transition, intended as an emblematic case of human systems sustainability. To this end, a scheme is developed that frames the relative position of the social sciences with respect to other disciplines (metaframe). Secondly, socialization is identified as a charismatic category capable of providing an original, typically sociological contribution to the hesitant energy and environmental transition (masterframe).
... We searched the Scopus database for relevant articles. It is a database that is well-liked by researchers and is used by many of them (for example, Geetha and Kothainayaki 2019; Ahmad et al. 2020;Sainaghi et al. 2020). Its usefulness stems from the fact that it contains many journals (more than 25,000 journals) as opposed to WoS (approximately 13,000 journals). ...
... Its usefulness stems from the fact that it contains many journals (more than 25,000 journals) as opposed to WoS (approximately 13,000 journals). Scopus is also regarded as the best database for conducting citation analysis (Geetha and Kothainayaki 2019;Ahmad et al. 2020;Sainaghi et al. 2020;Asatullaeva et al. 2021;Menegaki et al. 2021). ...
This paper presents a systematic literature review on the impact of female directorship on firm performance. We follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to carry out this study. The Scopus database has been used for the identification of all the relevant documents. Several filters and manual screens have been carried out to identify a final set of 984 journal articles. We conduct a content analysis of the top 100 most influential papers ranked based on their average citations per year. The analysis covers a wide range of aspects such as research methodology, the variables and proxies used for female directorship and firm performance, main empirical findings, the sample country, the number of countries included in the sample, the sample region and the sample industry. Most of the top 100 papers (88%) have reported a positive impact on firm performance from having female directors. This study also identifies research gaps and proposes directions for future research. Our findings may have policy implications and can help regulators in devising appropriate corporate governance mechanisms with respect to female directorship.
... On the other side, the EBSCO, PQ and SD allow full-body text in search in their database but do not provide the article's citation information and reference list. For citation analysis using these databases, one must include all information manually by searching it from google scholar (Ahmad, Aghdam, et al., 2020;Menegaki et al., 2021;Naveed et al., 2022). For the current study, relevant articles are searched in the Scopus database using a systematic procedure. ...
... 1 In TLR, a researcher summarises, critically analyzes, evaluates, and clarifies ideas that have been presented by other researchers (Ahmad, Aghdam, et al., 2020;Ahmad, Menegaki, et al., 2020;Wakefield, 2014). In MA, a researcher integrates the results of several independent studies (Egger et al., 1997). 2 The complete detailed content analysis of top 100 papers is available on request. ...
Exchange rate policy is regarded as a critical macroeconomic policy. Especially the misalignment of exchange rates is significantly impact on imported goods, particularly oil imports, which ultimately effect external and internal imbalances. This study conducts a systematic literature review on exchange rate misalignment, as well as an intriguing content analysis of the top 100 most cited articles. Further it identifies the most influential authors, papers and the journals in the field using citation analysis. The relevant articles are identified using the Scopus database. Three hundred and seventy‐two scholarly papers have been found relevant. The results of the content analysis show that the purchasing power parity is the most frequently used theoretical foundation, followed by the Behavioural Equilibrium Exchange Rate. Additionally, the analysis reveals that the authors primarily utilised time series data. The identification of essential and core journals is made through Bradford's Law. Schuh ( American Journal of Agricultural Economics , 56, 1974, 1) is a pioneering study that discussed the misalignment of exchange rates in the US agriculture sector. Valérie Mignon is the most prolific author in terms of both productivity and impact. The paper authored by O'Connell ( Journal of International Economics , 44, 1998, 1) titled ‘overvaluation of purchasing power parity’, is recognised as the most influential paper in terms of average citations per year.
... Besides, not every individual/institution has access to the Web of Science database due to its relatively high subscription fee. Many citation analysis and systematic literature studies have used Scopus database and are published in quality journals [52][53][54][55]. ...
... [58,59]. A similar trend in the publication number evolution related to energy-growth nexus is also confirmed by Anwar et al. [60] and Ahmad et al. [52][53][54]. Furthermore, a typical knowledge dissemination platform, such as conference and workshops about energy-growth nexus, has created more awareness among the scientific community globally, maintaining the rising trend. 2 Moreover, the Paris Agreement and the sustainability goals it inspired most signatory countries to follow have also further challenged researchers for additional studies on the various environmental problems and economic sectors and processes that cause them. ...
This study provide a bibliometric-based systematic literature review of academic research on the Environmental Kuznets Curve (EKC). The main aim is to identify the leading sources of knowledge in terms of the most influential journals, articles, and authors. Furthermore, a thorough content analysis of the 100 most influential papers is provided for identifying the important research attributes, such as the characteristics of data, methodologies, and major findings. The study identifies 1654 articles on EKC from Scopus-Indexed journals. Ecological Economics is the leading journal based on total citations (15,452), h_index (59), and the g_index (94). The most cited article in terms of total citations belongs to Stern, D. I. entitled “The rise and fall of the EKC curve”, published in World Development in 2004. From the content analysis of 100 papers, we find that 66% used panel data. Fully Modified Ordinary Least Square (FMOLS) and Autoregressive Distributed Lag (ARDL) models are the most popular methodologies used in EKC studies so far. CO2 emission is a widely used variable to measure environmental degradation. The majority of the studies have confirmed inverted U-shaped EKC for both panel and time-series studies. The Granger causality results show that income Granger causes environmental degradation. For future direction, it would be interesting to investigate EKC hypotheses against a wider nature-economy nexus that could better explain the sources and causes of change in the type of such nexus. Additionally, adequate and appropriate exogenous variables that could explain external shocks into the nature-economy nexus.
... Besides, not every individual/institution has access to the Web of Science database due to its relatively high subscription fee. Many citation analysis and systematic literature studies have used Scopus database and are published in quality journals [52][53][54][55]. ...
... [58,59]. A similar trend in the publication number evolution related to energy-growth nexus is also confirmed by Anwar et al. [60] and Ahmad et al. [52][53][54]. Furthermore, a typical knowledge dissemination platform, such as conference and workshops about energy-growth nexus, has created more awareness among the scientific community globally, maintaining the rising trend. 2 Moreover, the Paris Agreement and the sustainability goals it inspired most signatory countries to follow have also further challenged researchers for additional studies on the various environmental problems and economic sectors and processes that cause them. ...
This study provide a bibliometric-based systematic literature review of academic research on the Environmental Kuznets Curve (EKC). The main aim is to identify the leading sources of knowledge in terms of the most influential journals, articles, and authors. Furthermore, a thorough content analysis of the 100 most influential papers is provided for identifying the important research attributes, such as the characteristics of data, methodologies, and major findings. The study identifies 1654 articles on EKC from Scopus-Indexed journals. Ecological Economics is the leading journal based on total citations (15,452), h_index (59), and the g_index (94). The most cited article in terms of total citations belongs to Stern, D. I. entitled “The rise and fall of the EKC curve”, published in World Development in 2004. From the content analysis of 100 papers, we find that 66% used panel data. Fully Modified Ordinary Least Square (FMOLS) and Autoregressive Distributed Lag (ARDL) models are the most popular methodologies used in EKC studies so far. CO2 emission is a widely used variable to measure environmental degradation. The majority of the studies have confirmed inverted U-shaped EKC for both panel and time-series studies. The Granger causality results show that income Granger causes environmental degradation. For future direction, it would be interesting to investigate EKC hypotheses against a wider nature-economy nexus that could better explain the sources and causes of change in the type of such nexus. Additionally, adequate and appropriate exogenous variables that could explain external shocks into the nature-economy nexus.
... The exploration of the interdependences between energy and economic growth traces back to the seminal study by Kraft and Kraft [36]. Since then, substantial advancements have been made in the literature on this subject, as evidenced by comprehensive surveys conducted recently by Ahmad, Aghdam, Butt and Naveed [37] and Mutumba, Odongo, Okurut and Bagire [38]. In the realm of energy research, the relationship between energy and growth is typically examined through four testable hypotheses: the growth hypothesis, positing one-way causality from energy use to economic growth [19,20,[22][23][24][25]27,39]; the conservation hypothesis, suggesting one-way causality from economic growth to energy use [40,41]; the feedback hypothesis, proposing a two-way causality between energy use and economic growth [42][43][44][45][46][47]; and the neutrality hypothesis, postulating the absence of causality between energy use and economic growth [13,26,48,49]. ...
OECD countries have made notable strides in energy transition, but further examination of the interplay between renewables and non-renewables is essential for informed energy policy. Conventional statistical methods face challenges like multicollinearity when exploring the impacts of these energy sources on economic growth. In light of this issue, a Bayesian mixed-effects (hierarchical) regression framework provides a flexible and efficient alternative. This study employs such an approach to dissect the specific contributions of renewables and non-renewables to aggregate output growth in OECD countries. With substantial investments in renewable technologies, it is anticipated that renewables will increasingly contribute to economic growth. Interval hypothesis tests are conducted to scrutinize the data, and the findings validate the expectation that renewables exert a more substantial effect on economic growth in OECD nations. These outcomes provide a robust empirical foundation for shaping energy transition policies.
... Several previous studies have been conducted in researching the energy economy on various themes, for example on monetary integration in several Islamic countries (Agustiar, 2020a(Agustiar, , 2020b, energy growth nexus (Ahmad et al., 2020), geopolitical risks (Alsagr and Almazor, 2020), social economic welfare (Aris et al., 2013), Islamic stocks and equity (Hassan et al., 2019;Mensi et al., 2017;Nagayev et al., 2016), sukuk (Handayani and Surachman, 2017;Mat Rahim and Mohamad, 2018;Morea and Poggi, 2017) to the theme of renewable energy (Mekhilef et al., 2014;Rimantho et al., 2018). ...
Energy has an important role in the economic growth of a country, the more energy a country has, the better the country's economy. This study tries to map the development of research published in the field of energy economics. The research was conducted using VOSViewer software. The data analyzed were in the form of scientific research related to energy economics in Islamic countries as many as 45 articles published in the last 10 years. The results showed that the number of publications on the development of research results in the field of energy economics continued to increase, with various research methods and countries of study objects. The network visualization shows that the energy economy research development map is divided into 5 clusters. Cluster 1 consists of 7 keywords, cluster 2 consists of 7 keywords, cluster 3 consists of 5 keywords, cluster 4 consists of 5 keywords and cluster 5 consists of 2 keywords. It was found that the most familiar keywords are Country, Renewable Energy, CO 2 Emission. Other findings based on the results of text mining are the analysis of Kaya Identity in Islamic countries and solutions in the form of sustainable energy use.
... The results showed that causality runs from energy consumption toward economic growth. Ahmad et al. (2020) conducted a systematic literature review of the top 50 influential papers that focus on the energy-growth nexus; in the process, the researchers examined 1041 peer-reviewed articles, with the main conclusion that nexus results are generally inconclusive, with significant conflicting policy implications. Publications related to the world's energy and economic growth nexus are summarized in Table 3. Source: Own compilation. ...
... The investigation of the causal relationship between energy and economic growth can be traced back to Kraft and Kraft's study in 1978. Over the past five decades, the literature on this topic has experienced significant development, as evidenced by surveys conducted by Ozturk (2010), Omri (2014), Ahmad et al. (2020), and Mutumba et al. (2021) focusing on sustainability. In the energy literature, the relationship between energy and growth is commonly examined through four testable hypotheses: ...
Examining the relationship between renewable and non-renewable energy sources and economic growth is crucial for designing sustainable growth policies in the context of global sustainability efforts. Previous studies relying on frequentist inference have faced challenges in disentangling the individual effects of these energy sources on economic growth due to their high degree of correlation, often leading to biased results. The Bayesian approach offers an alternative estimation method to address this multicollinearity issue. This study aims to demonstrate one of the advantages of the Bayesian hierarchical framework in handling multicollinearity by using a sample of 72 countries to evaluate the distinct impacts of renewable and non-renewable energy on economic growth. By incorporating specific priors into a Bayesian model to guide the estimation process, the findings confirm that both energy sources play significant roles in driving economic growth, with renewable energy sources exhibiting a comparatively weaker effect. These results align with theoretical expectations, indicating that renewables make a limited contribution to economic growth due to high investment costs, intermittency issues, and supply chain constraints. This study establishes a solid foundation for sustainable growth policy formulation by providing robust evidence.
... Percentage of primary sector of the economy [52], Percentage of secondary sector of the economy [53], Percentage of tertiary sector of the economy [54], R&D activities as a percentage of expenditure [55] Develop quality Labor productivity [56], Per capita disposable income [57], Registration of the unemployment rate [58] Environmental Environmental pollution Discharge of industrial waste water [59], Industrial smoke and dust emissions [60], CO 2 emissions [61], Per capita CO 2 emissions [62] Environmental protection Industrial wastewater discharge rate [63] Environmental quality Forest coverage [64], Per capita water resources [65], Per capita area of arable land [66], Excellent rate of air quality [67] The third part is the research on other fields, including a large number of empirical studies on whether the environmental Kuznets curve [68] exists through analysis of the spatial distribution deviation of the focus of energy, economy, and environmental subsystem development [69]. Based on this, it also introduces the ecosystem [70], technology system [71], public health system [72], social system [73], and other systems for multi-system evaluation and analysis. ...
Industry, encompassing various sectors like agriculture, manufacturing, and services, is crucial for economic growth and societal progress. However, industrial growth often comes at the cost of environmental degradation and energy resource depletion, ignoring the need for sustainable development. This study analyzed 131 articles published from 2004 to 2023, using the energy–economy–environment (3E) method to explore industrial research trends. The primary focus of industrial 3E research is on environmental impact and sustainable development, particularly related to energy consumption. This field covers various topics like systems, efficiency, optimization, and others. LCA methods and system dynamics models are commonly used in research method innovation. This study summarizes the main viewpoints of industrial 3E research and highlights future research directions and priorities, including transitions to areas like agriculture, fisheries, and renewable energy and combining evaluation and prediction methods with 3E methods, conducting large-scale system research, and examining coupling relationships within and between industrial systems.
... The research articles for this study have been extracted from Web of Science (WoS) due to quality of and comprehensiveness of the data (Ahmad, Aghdam, et al., 2020;Ahmad, Menegaki, et al., 2020;Harzing & Alakangas, 2016;Harzing & van der Wal, 2009). Similar research was conducted at Scopus database and no other paper was identified. ...
Objective: To present a review and prognosis of academic research focused on the field of Attention-Based View (ABV). Methodology: Bibliometric analysis using co-word analysis and co-citation techniques of 165 relevant articles published between 2004 and 2021 in journals included in the Web of Science and Scopus databases, considering conceptual and intellectual structures, trends, and possible paths for the field of ABV. The retrieved articles were selected based on the key terms present in the title, abstract, and keywords. Relevance: Identifies the field development, research network, documents the most relevant journals and articles, concepts, and the intellectual framework of prominent authors. Findings: The seminal author, Ocasio, is the most expressive and the center of all networks in ABV research. The leading journal, according to the number of articles published, is the Strategic Management Journal. The conceptual structure presents three groups: the central roots of ABV, the attentional dynamics within organizations, and managerial cognition. Relevant topics are strategic change and communication channels, strategy as practice and studies in multinational companies (MNCs), organizational design, senior management team and governance. Theoretical implications: To present the state of the art, to integrate ABV knowledge and identify gaps for future research showing new trends, such as interfaces with metacognition and governance. Practical implications: Top management team decision-making process is ABV dependent so organizational architecture and its dynamics plays a crucial role in strategy for business success.
... Firstly, only SCOPUS was searched to identify published articles. SCOPUS is commonly used to carry out citation-based systematic literature reviews (Sainaghi,Köseoglu [72], Ahmad, Naveed [73], Geetha and Kothainayaki [74][75][76]), as it includes the widest range of articles with complete reference sets in a consistent and reliable form [77]. Another limitation is that all publications related to the management of brain metastasis may not have been identified; however, we identified more than 1000 articles related to using the specific keywords and then limited the search to 720 articles for the final analysis. Yet another limitation is publication bias, which is inherent in all review articles. ...
Simple Summary
The brain is a common site of metastases from cancer. Approximately 10% of all patients develop brain metastasis during their illness. Brain metastasis used to be frequently associated with significant morbidity and short survival, measured in months. However, with advances in treatment, a significant number of patients can now expect to live for several years, with a better quality of life. We reviewed the literature published over the last 50 years, to identify patterns of care of patients diagnosed with brain metastases. Techniques such as whole brain radiotherapy are used sparingly only. A more in-depth knowledge about the cancers, and advances in radiotherapy techniques, such as focused radiation to the site of metastases, and targeted therapy which crosses the barrier between the blood and the brain have revolutionized the care, especially in patients with lung cancer, breast cancer, and melanoma. This type of literature review not only helps to summarize the evolution of clinical practice, but also helps to identify the current trends for researchers.
Abstract
A systematic review of the published literature was conducted to analyze the management evolution of brain metastases from different cancers. Using the keywords “brain metastasis”, “brain metastases”, “CNS metastasis”, “CNS metastases”, “phase III” AND/OR “Randomized Controlled Trial” (RCT), relevant articles were searched for on the SCOPUS database. A total of 1986 articles were retrieved, published over a 45-year period (1977–2022). Relevant articles were defined as clinical studies describing the treatment or prevention of brain metastases from any cancer. Articles on imaging, quality of life, cognitive impairment after treatment, or primary brain tumors were excluded. After a secondary analysis, reviewing the abstracts and/or full texts, 724 articles were found to be relevant. Publications significantly increased in the last 10 years. A total of 252 articles (34.8%) were published in 12 core journals, receiving 50% of the citations. The number of publications in Frontiers in Oncology, BMC Cancer, and Radiotherapy and Oncology have increased considerably over the last few years. There were 111 randomized controlled trials, 128 review articles, and 63 meta-analyses. Most randomized trials reported on brain metastases management from unselected tumors (49), lung cancer (47), or breast cancer (11). In the last 5 years (2017 to 2022), management of brain metastasis has moved on from WBRT, the use of chemotherapy, and radio-sensitization to three directions. First, Radiosurgery or Radiotherapy (SRS/SRT), or hippocampal-sparing WBRT is employed to reduce radiation toxicity. Second, it has moved to the use of novel agents, such as tyrosine kinase inhibitors (TKI) and immune checkpoint inhibitors (ICI) and third, to the use of molecularly directed therapy such as TKIs, in asymptomatic low volume metastasis, obviating the need for WBRT.
... There are several options available with each having its pros and cons, for instance, Web of Science (WoS), Scopus (SC), ScienceDirect (SD), ProQuest (PQ), and Business Sources (EBSCO). The main advantage of SC and WoS is that they provide bibliographic information for each document and the other publishing information necessary to carry out citation analysis of the field (Ahmad, Aghdam, et al., 2020). SC and WoS's main drawback is that these search engines do not allow a search in the full body of the text (Ahmad, Menegaki, & Al-Muharrami, 2020). ...
This study aims to provide a bibliometric literature review (BLR) on the applications of high-frequency data in finance. To the best of our knowledge, this is the first BLR on this topic. It aims to map the evolution of the literature, identifying the leading sources of knowledge in terms of the most influential journals, articles, and authors. It also provides a chronological development of the conceptual and intellectual structures of the networks in this topical research area. Using the Scopus database, the study identifies 2920 articles on the application of high-frequency intraday data in finance. These had been published in 393 journals during the period from 1977 to 2019. A thorough content analysis of the 100 most influential papers (ranked based on average citations per year) is also provided concerning research attributes in terms of datasets, asset classes, country of analysis and the major themes and sub-themes of these papers. The Journal of Banking and Finance is the leading journal in terms of the number of publications, whereas the Journal of Finance is the leading journal in terms of citations received on this topic. Tim Bollerslev is the leading author in this area in terms of the total number of publications (36), total citations (7241) and h-index (30). The most cited article in terms of total citations and average citations per year is Andersen, Bollerslev, Diebold, and Labys (2003) titled “Modeling and forecasting realized volatility”, which has appeared in Econometrica. The majority of the top 100 surveyed papers are empirical (66%). Volatility modeling as a major theme is the front runner with 29% of the surveyed papers. The theme “Volatility modeling” has most often been studied with Realized Volatility. The Trade and Quote (TAQ) database and 5-minute interval data appear to be the most favored choices in terms of data usage in high-frequency finance research. 56% of the surveyed papers have used the data on stocks, with NYSE stocks being the most popular, while US financial markets are the most commonly studied markets (65%).
... As an important measure to reduce carbon emissions, alleviate the frequent occurrence of extreme weather and promote green technology innovation, environmental regulation is not only the basic guarantee to achieve the "double carbon" goal, but also the key to achieve the "win-win" goal of healthy economic development and ecological environment protection (Huisingh et al., 2015;Tan and Xu, 2022). However, the research on the dynamic relationship between energy and economic and environmental systems has attracted the attention of scholars in many disciplines (Ahmad et al., 2020). Although there are a large number of research results in this field, the research conclusions have not reached a consensus, and the research on green technology innovation of energy enterprises is almost zero. ...
Legal environmental regulation is not only an important tool for green technology innovation and energy efficiency improvement, but also a key measure for enterprise upgrading and high-quality economic development. Based on the panel data of China’s listed energy companies from 2010 to 2020, this paper finds that legal environmental regulation has a significant positive impact on enterprise green technological innovation by using SYS-GMM. And the threshold regression model is used to examine the nonlinear impact of legal environmental regulation on green technology innovation in this paper. The results show that the positive impact of legal environmental regulation on green output of energy enterprises is more prominent than that of non-R&D investment. In addition, the impact of legal environmental regulation on green technology innovation of energy enterprises has a threshold effect. That is, the loose legal environmental regulation (LER ≤ 399.656) has a negative impact on the green output of energy enterprises, while the impact of strict legal environmental regulation (LER > 399.656) is the opposite. Meanwhile, the loose legal environmental regulation (LER ≤ 491.291) and strict legal environmental regulation (LER > 491.291) have a negative impact on the non-R&D investment of energy enterprises. Finally, there are huge differences in green technology innovation capabilities of energy enterprises.
... Second, the coarse-grained mixed country sampling may obscure research results. This finding is consistent with the view of Ahmad et al. (2020) and Menegaki et al. (2021) that energy use is generally closely related to a ...
Promoting renewable energy (RE) is one key strategy to increase energy security and mitigate global warming. What really influences the development of RE has aroused public attention worldwide. Numerous studies have identified and evaluated the critical influence factors (CIFs) for renewable energy development (RED); however, there seems to be no consensus among the previous studies on these CIFs and their importance level or influence direction. Given that, this study, for the first time, conducts a systematic review and meta-analysis of the CIFs for RED. With evidence from 33,119 observations in 67 studies between 2010 and 2022, 44 CIFs distributed in political, economic, environmental, social, and technological (PEEST) dimensions were selected from an international perspective. Results demonstrate that (i) 27 CIFs with statistical significance and their rank list were identified through meta-analysis. Some of them were mentioned many times in previous studies, but their significance for RED was not very high. (ii) The top three driving factors in CIFs’ significance rank list were industrial infrastructure investment, R&D, and financial development, and the top three inhibiting factors were the fossil-based energy consumption structure, policy uncertainty, and population life. (iii) The publication year, country’s economy, and links of the RED value chain have a moderating effect on some CIFs’ influence mechanisms. This study not only contributes to the existing RED knowledge body but also provides references to policymakers and practitioners in formulating policies and good practices to promote renewable energy.
... The citation analysis method has been employed in various subjects including social sciences (Filiz & Benzet, 2018;Hermann & Bossle, 2020;Jarrín, Pouladi, & Madigan, 2019;, medicine (Reid et al., 2019;Webster, Rice, Sud, 2020;Safi, Thiessen, & Schmailzl, 2018), psychology (Cox & Ward, 2019;Cole et al., 2021;Miller et al., 2019), business (Ritala et al., 2018), economics (Ahmad et al.,2020;Stieger & Jekel, 2019;Chouliaraki & Zaborowski, 2017), etc. ...
People must be qualified to adapt to developments resulting from the fast evolution of information and technology. This would be accomplished by incorporating technology into instruction. To survive in the world of science and technology, the disciplines that will continue to play a significant role in the future are Science, Technology, Engineering, and Mathematics (STEM). In this respect, several studies have been carried out on enhancing STEM education in colleges. This research aims to evaluate these studies and the trends used to define the scientific content criteria. The citation analysis method investigates STEM-related papers indexed in scholarly publications. A total number of 202 studies published between 2017 and 2022 were examined. According to the study's results, the number of citations and research articles increased remarkably in 2021. This result enables researchers to describe the characteristics of the contents of scientific journals.
... Only one database, SCOPUS, was searched to identify relevant articles. However, SCOPUS is commonly used to carry out citation-based systematic literature reviews (Sainaghi,Köseoglu (35), Ahmad, Naveed (36), Geetha and Kothainayaki (37), (38,39)There are several advantages of using SCOPUS compared to other databases, like Web of Science, ProQuest etc, as SCOPUS includes the widest range of articles with complete reference sets in a consistent and reliable form (40). Another limitation might be that since professionalism in medical practice is perceived from different angles, some aspects of professionalism may have not been identified, however, we identified more than 1000 articles related to teaching, learning and assessment in undergraduate medical education, and this number of publications provides an idea about the scope of the subject. ...
Background: Professionalism is an important competence in medical practice, yet a complex area. We describe the landscape of published articles on teaching, learning and assessment of professionalism in medical schools. This study aims to review the temporal trend of literature published and cited on the subject, and includes frequently publishing authors, journals, and network analysis. The study further aims to present the themes of the most commonly cited articles. Methods: A systematic review of peer-reviewed literature was carried out to describe the current patterns of research in professionalism using the terms “professionalism” AND "medical education" OR "medical college" OR "medical school". The title and abstract of the selected documents were skimmed to include only relevant articles. ‘Relevant’ articles were defined as articles describing teaching, learning or assessment of professionalism in undergraduate medical curricula. Articles describing professionalism, but not directly related to teaching, learning and assessment were excluded. Results: Over the study period spanning from 1973 to 2020, a total of 1053 articles were identified as relevant. A surge in the number of publications was observed from the year 2000. Over 400 articles were published in 5 leading journals in medical education. Of the 50 top-cited papers, 18 (36%) articles explored opinions of stake holders through questionnaires and surveys about different aspects of professionalism, there were 13 (26%) ‘Commentary’ and 7 (14%) review articles. The primary objectives of more than 50% of the top-cited articles were assessment methods (14%), teaching by humiliation (14%), personal identity formation (8%), barriers to professionalism (8%), and teaching ethics (8%) and empathy (8%). Conclusions: We describe the landscape of published articles on teaching, learning and assessment of professionalism in undergraduate medical schools. The surge in publications since 2000, top publishing journals and frequently publishing authors were identified. Of the most cited articles, assessment methods, personal identity formation, and teaching empathy and ethics predominate as the main themes.
... The prevalence of the conservation hypothesis is there in Sari et al. (2008), the prevalence of the feedback hypothesis is there in Mahadevan and Asafu-Adjaye (2007), and the prevalence of the neutrality hypothesis is there in Payne (2009). The aforementioned studies are indicative examples; there are many more supporting studies in each case, and they can certainly be encountered in seminal review papers such as in Ozturk (2010), Menegaki (2014), Omri (2014), and Ahmad (2020). ...
The aim of this study is to investigate the relationship between sectoral renewable energy consumption and economic growth in the US economy for the period 1950–2020 by using the Fourier component augmented unit root, cointegration, and causality analyses for the transportation, industrial, residential, electric power, and commercial sectors. Our results reveal in the long run that renewable energy will Granger cause growth through the new jobs it will create, the restructuring of the economy which is a prerequisite for replacing fossil energy with renewable energy. On the other hand, causal relationships are less stable and methodology and sector specific in the short run. Accordingly, the electric power and industrial sectors experience conservation patterns in terms of renewable energy consumption, while the growth hypothesis is confirmed for the commercial sector. Different implications are generated for each sector, which are now more important than ever given the current energy crisis in Europe and the urgent need to reduce dependence on fossil fuels.
... This survey used a unique method of picking articles objectively, allowing the opinions of the scientific community to take precedence over the authors via subjective assessments. [62,63] This research studied changes in energy economics. The dynamics of energy management are changing. ...
Overflowing garbage bins and unnecessary truck visits to collect waste have always been core issues of sustainability and maintaining a green environment. In the recent past, a transition has been observed in waste management towards a better environment and the achievement of sustainability goals. Companies are not only focused on producing less but also transforming waste into energy and reusable products. This transition process needs to evolve through sustainable solutions and innovative marketing initiatives that increase awareness and education among end users. This study used a systematic literature review protocol to identify and review the available research on sustainable waste-management solutions, innovative marketing initiatives, and a proposed conceptual model. It analyzed the latest literature from 1976 to 2022 to assess waste-management trends using the Web of Sciences and Scopus databases. To evaluate the practical perspective, this study analyzed ten waste-management companies offering services in the USA, the UK, Korea, Finland, Ireland, Turkey, Brazil, Slovakia, Portugal, Denmark, and Canada to assess their technological and marketing development for the creation of a better future. It was found that Ecube, Enevo, smart bins, Compology, Bigbelly, Sensoneo, Citibrain, ACO recycling, Evrek, Rico, and BrighterBins focus more on technology and less on user awareness and marketing. There is minimal focus on education and empowerment of end users. Our study’s findings guide academics, practitioners, and policymakers to apply ambidextrousness in energy innovation, particularly in the waste-management sector. By implementing sustainable and innovative solutions, companies can not only reduce waste products, but they can also recover, recycle, and better dispose of the waste. However, to do so, companies also need to educate end users.
... In recent years, scholars have augmented this model and identified various factors affecting energy consumption. Theoretical and empirical works find that economic growth (Ahmad et al., 2020;Ozturk, 2010), industrial structure (Mi et al., 2015;Adom et al., 2012;Lee et al., 2021), financial development (Acheampong, 2019;Sadorsky, 2010), research and development expenditures (R&D) (Churchill et al., 2021;Godil et al., 2021), and demographic structure (Liddle, 2014) are primary drivers of energy consumption. In recent efforts, the literature approaches the question of whether previous findings also hold for renewable energy consumption (Usman and Hammar, 2021;Omri and Nguyen, 2014). ...
In its decarbonization efforts, the European Union aims to decrease energy consumption through technological advances. One of the most prominent advances is the increased extension and utilization of digital information and communication technologies. However, there is little understanding of how precisely digitalization and energy consumption are related. This study aims to empirically analyze the impact and transmission channels of digitalization on energy consumption in the European Union. We build our empirical analysis in two steps. First, we employ the two-step sys-GMM estimator to examine the direct impact of digitalization on energy consumption, controlling for the effects of the mediation variables. Second, we use the causal mediation approach to estimate the relative importance of each mediation variable through which digitalization affects energy consumption. We rely on a sample of 28 European countries from 2007 to 2019. The empirical results suggest that digitalization significantly reduces energy consumption. We find that a 10% increase in digitalization reduces energy consumption by 0.4%, on average. The causal mediation analysis reveals that digitalization has an indirect positive effect on energy consumption through GDP per capita and industrial structure and an indirect negative impact through financial development and human capital.
This study has been conducted using 200 articles from 1984 to 2023, by undertaking a meta‐literature review on the subject of energy markets and financial markets linkage (EFML). Our study consists of content analysis of 200 articles along with other analyses such as (i) co‐citation analysis, (ii) co‐authorship analysis, and (iii) cartographic analysis. We have identified five research streams: (1) Oil, stock, commodities markets, crypto currency, real estate, exchange rate linkage; (2) Oil and stock market linkage; (3) Energy as a portfolio diversification tool; (4) Dynamic linkage between the oil‐commodity market and stock market; and (5) Oil and other market linkages with respect to the COVID‐19 pandemic, the subsequent financial crisis, and other events. We have performed a comprehensive review of the EFML literature and provided the influential aspects of top journals and authors, the characteristics of the most studied topics, past and current key research streams in the EFML literature. We have also suggested 63 future research questions. Looking at the widespread interest of finance scholarship in the area of energy market linkages, the assessment of energy market linkages, and possible portfolio diversification opportunities and benefits, is of great importance and interest to researchers, policy holders, and portfolio managers.
Introduction: Physical inactivity is a major global health concern, contributing to the rising non-communicable disease burden. Elucidating barriers and facilitators influencing participation is critical to promoting activity. This study aimed to synthesize the literature and analyze the extent of research on determinants of physical activity engagement. Methods: Scoping review methodology guided the synthesis of 272 publications on factors influencing physical activity. Bibliometric analysis examined publication trends, productivity, influential studies, content themes, and collaboration networks. Results: Since 2010, the United States has led a significant increase in research output. Highly cited articles identified physiological limitations and psychosocial determinants as key barriers and facilitators. Extensive focus was seen in clinical medicine and exercise science journals. Analysis revealed predominant attention to psychosocial factors, physiological responses, and applications in respiratory disease. Gaps remain regarding policy and environmental factors. Conclusion: This review showed major advances in elucidating determinants while revealing the remaining needs to curb the pandemic of inactivity globally. Expanding international collaboration, contemporary theoretical models, and tailored mixed-methods approaches could promote progress through greater global participation. Addressing knowledge gaps across populations and disciplines should be a priority.
This study evaluates the performance dynamics of Oman's principal part of electricity generation. Emphasis is placed on capturing the influence of the COVID-19 pandemic on the industry's performance indicators. We utilised the Malmquist Index method to analyse the changes in overall performance indicators over time. This approach allows us to distinguish between efficiency and technology changes. In addition, we employed the analysis of variance approach to test hypotheses related to COVID-19. Data is collected from twelve electricity producers across Oman's power sector. These consist of companies listed on the Stock Exchange Market in Oman, accounting for about 60 % of the total electricity production in the Sultanate. The predominant findings indicate that COVID-19 detrimentally impacted the sector's aggregate performance in 2020 but had a swift recovery in 2021. The analysis of the sample firm's productivity indices verifies that the decline in productivity in 2020 due to the Pandemic is attributable to a decrease in average efficiency indices and a negative shift in the projected frontier. These are probable consequences of the recessionary effects caused by the Pandemic. Despite a considerable decrease in average efficiency scores, a positive change in the frontier has facilitated a rapid recovery in 2021. This recovery can be attributed to the implementation of advanced technical upgrades in particular enterprises, which began as early as 2018/2019, well before the onset of the Pandemic.
Socio-scientific issues (SSI) has been shown to serve as a useful learning context in K-12 education, not only to help students improve their scientific literacy and develop 21st century skills such as argumentative and decision-making but also to promote students’ sense of self-efficacy and civic responsibility. From the perspective of highly cited papers, combined with the relevance model of science education, this review conducted a systematic review of the top-50 most-cited articles in SSI in K-12 research in the Web of Science database and made a diagnostic evaluation of them according to the relevance model of science education. The results showed that the effects of teaching intervention on the nature of science is the most emphasized theme. High school students are the most focused demographic, and energy is the most highlighted topic. The relevance model of science education shows imbalances in dimensions, imbalances between present and future, and imbalances between intrinsic and extrinsic factors. This review thematically illustrates what is known and what needs to be known for future research of SSI in K-12 education. On this basis, the research trend and future education measures of SSI in K-12 education are put forward, and the further integration of SSI into school education is proposed.
Recognizing the recent pace of urbanization and carbon emissions growth, this study investigates the dependence of CO2 emissions on the urbanization of European Union (EU) countries, economic growth, total energy consumption, the amount of energy produced from renewable sources, and nuclear energy as low-carbon energy source. The main questions addressed in this study are: (1) Are there long-term and short-term relationships between the variables examined? (2) What is the connection between carbon emissions and the independent variables at different periods? (3) Can urbanization, economic development, total energy consumption, and the share of renewable and low-carbon energy sources predict the evolution of carbon emissions and thus the achievement of the EU’s carbon neutrality targets? We analyze a sample of 22 European countries for the period 1992–2019. Concerning the COVID-19 pandemic that hit Europe in early 2020, this study can be used as a comparative sample and can serve to assess the impacts of the pandemic on the evolution of greenhouse gas emissions during the pandemic as well as after the pandemic has subsided and economies have restarted. The models used in the study are as follows: threshold cross-sectional model, panel threshold models with threshold variable (urbanization of the country), Panel Models (Fixed Effects (FE), Random Effects, Least Squares Dummy Variables), Fully Modified OLS, Dynamic OLS, Panel VAR model, Pooled Mean Group Estimation, Mean Group Estimation, and Dynamic FE estimation. General moments methods (GMM) were used in the estimation of short-run relationship dynamics. The impulse response functions were used to analyze the results obtained in the GMM model. The Stata 15.1 econometric software environment was used to test unit root, variable cointegration, and to estimate the models. The best-fitting models were selected from the above models using statistical tests. Understanding the relationship between these variables is essential for informed and evidence-based decision-making and the adoption of new or revision of existing policies and strategies promoting the carbon–neutral and green economy at the EU and national levels.
Oil and natural consumption are non-renewable energy sources that are the main drivers of economic growth, but these energy sources are also the main causes of environmental degradation in Northeast Asian countries. The main objective of this study is to examine the impact of renewable energy consumption, non-renewable energy consumption on CO2 emissions, and economic growth in seven selected Northeast Asian countries during the period 1970–2020. First, the cross-sectional dependence test recommended by Pesaran, Ullah, and Yamagata (2008) concludes that there is no cross-sectional dependence in the panel data model, so it is feasible to use the first-generation panel data methods. Later, cointegration tests proposed by Pedroni (Oxford Bull Econ Stat 61:653–670, 1999, Economet Theor 20:597–625, 2004), Kao (J Econom 90:1–44, 1999), and Westerlund (2007) were adopted, revealing long-term cointegration relationships among model panel variables. Long-term variable coefficient elasticities were detected using the estimation techniques of panel fully modified ordinary least squares (FMOLS) and panel dynamic ordinary least squares (DOLS). Two-way causality of variables was detected using the Dumitrescue-Hurlin (Econ Model 29:1450–1460, 2012) panel causality test. The results of the analysis highlight the significant progressive effects of renewable energy consumption, nonrenewable energy consumption, employed labor force, and capital formation on long-run economic growth. The study also concluded that renewable energy consumption significantly reduced long-term CO2 emissions, while non-renewable energy consumption significantly contributed to long-term CO2 emissions. Estimates from the FMOLS technique reflect a significant progressive effect of GDP and GDP³ on CO2 emissions, while GDP² has a significant adverse effect on CO2 emissions, thus validating the N-shaped EKC assumption in selected group of countries. Furthermore, the feedback hypothesis is supported based on the two-way causality between renewable energy consumption and economic growth. Strategically, this evidence-based empirical study demonstrates that renewable energy is a valuable process that can protect the environment and contribute to future economic growth in selected countries by addressing energy security and reducing carbon emissions.
This study aims to explore the relationship between renewable energy consumption, non-renewable energy consumption, carbon dioxide emissions and economic growth in China, India, Bangladesh, Japan, South Korea and Singapore using panel Augmented Mean Group (AMG) estimation techniques over the period 1975–2020. The results of the analysis show that renewable energy consumption, non-renewable energy consumption, employed labor force, and capital formation contribute significantly to long-run economic growth. The study also found that non-renewable energy consumption significantly increased long-term carbon emissions, while renewable energy consumption significantly reduced long-term carbon emissions. GDP and GDP³ have a significant positive impact on environmental degradation, while GDP² has a significant negative impact on environmental degradation, thereby validating the N-type EKC hypothesis in selected emerging economies. The countrywise AMG strategy records no EKC in India and Bangladesh, an inverted U-shaped EKC in China and Singapore, and an N-shaped EKC in Japan and South Korea. Empirical evidence from the Dumitrescue-Hurlin (2012) panel causality test shows that there is a two-way causality between renewable energy consumption and economic growth, supporting the feedback hypothesis. Strategically, empirical evidence suggests that higher renewable energy is a viable strategy for addressing energy security and reducing carbon emissions to protect the environment and promote future economic growth in selected Asian countries.
This study aims to investigate the impact of renewable energy consumption, non-renewable energy consumption on carbon emissions and economic growth in 7 selected Northeast Asian countries from 1970 to 2020. First, the cross-sectional dependence test proposed by Pesaran, Ullah, and Yamagata (2008) detected cross-sectional dependence in variable models of panel data. Later, Westerlund (2007), Pedroni's (1999, 2004) and Kao's (1999) tests explored the long-term cointegration among proposed panel variables. Panel Fully Modified Ordinary Least Squares (FMOLS) and Panel Dynamic Ordinary Least Squares (DOLS) estimation techniques are used to explore the elasticity of long-term variable coefficients. The Dumitrescue-Hurlin (2012) panel causality test examines causality between variables. The results of the analysis highlight that renewable energy consumption, non-renewable energy consumption and capital formation contribute significantly to long-term economic growth. The study also found that non-renewable energy consumption significantly increased long-term carbon emissions, while renewable energy consumption significantly reduced long-term carbon emissions. The analysis of this study also confirmed the inverted U-shaped EKC hypothesis for Northeast Asian countries. Empirical evidence from this study suggests a bidirectional causal relationship between renewable energy consumption and economic growth, supporting the feedback hypothesis. Strategically, empirical evidence suggests that higher renewable energy is a viable strategy for addressing energy security and reducing carbon emissions to protect the environment and promote future economic growth in selected countries.
The act of self-regulation, also referred to as self-control, is antithesis to profligacy. Self-regulation is central to human behavior and is the core of a well-functioning society. Although self-regulation as a research topic has been well-researched, systematic literature reviews on this domain are rare. To the best of the authors’ knowledge, this article is one of the first to present a systematic literature review on self-regulation and goal-directed behavior. The authors compiled a study pool of 78 papers over a period of 1990–2021. This study complements the Theory, Characteristics, Context, and Methodology (TCCM) framework, and presents the TCCMP framework to provide public policy recommendations. Further, the authors extract seminal models in the self-regulation literature to re-integrate them into contemporary marketing research. Through the insights gained from the literature review, this paper presents suggestions for public policies, and develops a detailed research agenda.
The main purpose of the research is to investigate drivers that motivate homeowners, investors, government institutions etc., to undertake green renovation. Sustainable upgrade actions have been slow although new smart technologies such as solar panels, e-glazing, insulation systems, cogeneration etc., are developed or upgraded every year. At such a slow pace, the existing building stock presents a challenge as drivers are not rigorously identified and applied. A survey questionnaire was designed to examine all the drivers that encourage energy renovation. Extensive review of the literature provided a theoretical framework that supported the study. The survey was administered to energy consultants, architects, quantity surveyors, facility managers and engineers with sufficient professional experience. The data was analysed using means, T-test analysis and Mann–Whitney U test. The results establish a relationship between drivers and upgrade of existing buildings and systems. The findings identified a strong level of agreement among the respondents on the drivers of green renovation. Incentive and support systems, penalties for noncompliance, high energy bills, energy conservation and policy and regulations, awareness etc., are some of the motivating factors that drive energy management retrofit.
Purpose
This study carries out a systematic literature review (SLR) on responsible management education (RME). A total of 174 publications listed on the Scopus database addressing RME, published between 2007 and 2022 (inclusive), have been analyzed.
Design/methodology/approach
The articles included in the study were searched based on relevant key terms in the title, abstract and author keywords associated with each publication. The analysis led to the identification of the most relevant sources, authors and publications that can be used to circumscribe RME. Selected studies were analyzed using the Bibliometrix R-tool.
Findings
This study shows how three interrelated levels of analysis—namely, conceptual, intellectual and social—allow researchers to further organize the data to produce rich content for the RME. The contribution of this study is twofold: first, our values-based approach helps overcome the axiological ambiguity of the principles for RME (PRME), which invoke the importance of incorporating “the values of global social responsibility” (Principle 2) but fail to define and operationalize these values. Second, the authors provide a rationale and guidance for implementing values-based RME in business schools.
Originality/value
This study offers a unique SLR on RME. It gives a clear picture of this field by talking about what has been done and what the future might hold for RME.
This paper examines the impacts of market-oriented electricity reform on macroeconomic variables. It develops an ad hoc econometric model for this purpose, using a panel data of 19 developed countries plus seven Australian States for the period of 1970-2008. Significance of the impacts is firstly tested against three distinct institutional features of electricity reform, namely:(1) organizational restructuring (ie, functional unbundling of traditionally vertically integrated industry);(2) market restructuring (introduction of mandatory bid-based spot market); and (3) privatization. The extents of the impacts are, then, quantified in terms of relative contribution of such institutional changes to aggregate output growth in short-run, medium-run and long-run. The results reveal that only functional unbundling has made significant contribution to output growth. The results, further, specify that functional unbundling has made, on …
This paper presents a comparative evaluation of Google Scholar and 11 other bibliographic databases (Academic Search Elite, AgeLine, ArticleFirst, EconLit, GEOBASE, MEDLINE, PAIS International, POPLINE, Social Sciences Abstracts, Social Sciences Citation Index, and SocINDEX), focusing on search performance within the multidisciplinary field of later-life migration. The results of simple keyword searches are evaluated with reference to a set of 155 relevant articles identified in advance. In terms of both recall and precision, Google Scholar performs better than most of the subscription databases. This finding, based on a rigorous evaluation procedure, is contrary to the impressions of many early reviewers. The paper concludes with a discussion of a new approach to document relevance in educational settings—an approach that accounts for the instructors' goals as well as the students' assessments of relevance.
The Economics and Econometrics of the Energy-Growth Nexus recognizes that research in the energy-growth nexus field is heterogeneous and controversial. To make studies in the field as comparable as possible, chapters cover aggregate energy and disaggregate energy consumption and single country and multiple country analysis. As a foundational resource that helps researchers answer fundamental questions about their energy-growth projects, it combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus. The book provides order and guidance, enabling researchers to feel confident that they are adhering to widely accepted assumptions and procedures. Provides guidance about selecting and implementing econometric tools and interpreting empirical findings. Equips researchers to get clearer pictures of the most robust relationships between variables. Covers up-to-date empirical and econometric methods. Combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus.
This article aims to provide a systematic and comprehensive comparison of the coverage of the three major bibliometric databases: Google Scholar, Scopus and the Web of Science. Based on a sample of 146 senior academics in five broad disciplinary areas, we therefore provide both a longitudinal and a cross-disciplinary comparison of the three databases. Our longitudinal comparison of eight data points between 2013 and 2015 shows a consistent and reasonably stable quarterly growth for both publications and citations across the three databases. This suggests that all three databases provide sufficient stability of coverage to be used for more detailed cross-disciplinary comparisons. Our cross-disciplinary comparison of the three databases includes four key research metrics (publications, citations, h-index, and hI, annual, an annualised individual h-index) and five major disciplines (Humanities, Social Sciences, Engineering, Sciences and Life Sciences). We show that both the data source and the specific metrics used change the conclusions that can be drawn from cross-disciplinary comparisons.
The aim of this article is to discuss quantitative content analysis as established in communication sciences as a method for research in business ethics. We argue that communication sciences and business ethics are neighboring disciplines, which allow the transfer of quantitative content analysis from communication sciences to business ethics. Technically, quantitative content analysis can be applied through human as well as software coding. Examples for both applications are provided and discussed. We make reference to the software solutions ‘Leximancer’, ‘Crawdad’, and ‘Wordle’, and examine their suitability and limitations with regard to ethical questions for researching business ethics. We recommend a mixed-method approach, combining human and software coding. Furthermore, we propose a three-step process that discusses quantitative content analysis as a method for business ethics, including an ethical research objective, and most importantly, concluding with ethical reasoning and interpretation of the quantitative results.
The literature of data envelopment analysis (DEA) encompasses many surveys, yet all either emphasize methodologies or do not make a distinction between methodological and application papers. This study is the first literature survey that focuses on DEA applications, covering DEA papers published in journals indexed by the Web of Science database from 1978 through August 2010. The results show that on the whole around two-thirds (63.6%) of DEA papers embed empirical data, while the remaining one-third are purely-methodological. Purely-methodological articles dominated the first 20 years of DEA development, but the accumulated number of application-embedded papers caught up to purely-methodological papers in 1999. Among the multifaceted applications, the top-five industries addressed are: banking, health care, agriculture and farm, transportation, and education. The applications that have the highest growth momentum recently are energy and environment as well as finance. In addition to the basic statistics, we uncover the development trajectory in each application area through the main path analysis. An observation from these works suggests that the two-step contextual analysis and network DEA are the recent trends across applications and that the two-step contextual analysis is the prevailing approach.
The authors investigate the overall and subarea influence of a comprehensive set of marketing and marketing-related journals at three points in time during a 30-year period using a citation-based measure of structural influence. The results show that a few journals wield a disproportionate amount of influence in the marketing journal network as a whole and that influential journals tend to derive their influence from many different journals. Different journals are most influential in different subareas of marketing; general business and managerially oriented journals have lost influence, whereas more specialized marketing journals have gained in influence over time. The Journal of Marketing emerges as the most influential marketing journal in the final period (1996-97) and as the journal with the broadest span of influence across all subareas. Yet the Journal of Marketing is notably influential among applied marketing journals, which themselves are of lesser influence. The index of structural influence is significantly correlated with other objective and subjective measures of influence but least so with the impact factors reported in the Social Sciences Citation Index. Overall, the findings demonstrate the rapid maturation of the marketing discipline and the changing role of key journals in the process.
Although many papers have aimed at describing the evolution of the International Management (IM) field, most of them have applied a subjective approach. Instead of trying to establish the most current research lines or interests, this study investigates the intellectual structure that serves as a basis for the IM research. To achieve this aim, we try to identify the main research trends used in the most relevant IM journals. By means of the co-citation analysis, we analyze the articles published in five top journals from 1997 to 2000, identifying the main trends and analyzing their dissemination within those journals.
This paper examines the long-run relationship between energy consumption and real GDP, including energy prices, for 25 OECD countries from 1981 to 2007. The distinction between common factors and idiosyncratic components using principal component analysis allows to distinguish between developments on an international and a national level as drivers of the long-run relationship. Indeed, cointegration between the common components of the underlying variables indicates that international developments dominate the long-run relationship between energy consumption and real GDP. Furthermore, the results suggest that energy consumption is price-inelastic. Causality tests indicate the presence of a bi-directional causal relationship between energy consumption and economic growth.
The study explores the intellectual structure, development and evolution of energy crisis and economic growth research through bibliometric analysis of research articles on energy‐growth nexus from 2000 to 2017 by using Citespace where Gephi is used to analyse the authors collaboration. The analysis incorporates 27,152 references cited by 344 authors, in 1165 articles and from 330 journals. The results of study quantitatively present the most cited articles, authors, countries, institutions and intellectual structure with data visualization in the knowledge domain of energy‐growth nexus. The study categorizes the major research areas in energy‐growth nexus research as carbon dioxide emission, electricity consumption, heterogeneous Panel, real income, renewable energy and financial development. The study discusses emerging trends which provide the future research fronts and intellectual development within the framework of energy‐growth nexus.
The aim of this study is to exhibit an exhaustive survey which is related to the great flight of the literature of energy- environment-growth nexus at the individual and regional scale studies covering the period from 1978 to 2014. The survey takes into consideration the sample (country, region, etc.), periods covering, econometric strategies, and conclusions. Our survey is based on the causality direction among (i) the energy use variables (electricity, nuclear, renewable and non-renewable) and output growth; (ii) between economic growth and environment; and between the three variables at the same time. Globally, these surveys provide paradoxical and not conclusive results which energy consumption can boost economic growth through the productivity enhancement and it can boost also the environmental damages through the enhancement of pollutant emissions. Our survey sheds more the lights on the energy-environment-growth literature by giving an extensive listing (1978–2014) of these causal linkages among the energy use variables, environment and economic growth for both individual and collective cases. There is a unanimous consensus about the importance of dealing with such dynamic relationship, which is seems to be a cornerstone element in setting any ambition strategies (energy, ecological and economics).
This paper provides a citation network analysis of publications from the Academy of Management Journal, one of the key US-based journals in the field of Management. Our analysis covers all publications in the journal from 1958–2014. This represents the entire history of the journal until the arbitrary cut-off point of our study. The paper analyses the most published authors, most cited articles, most cited authors, top institutions, and the nationalities of authors that are most represented in the journal. 2304 articles containing 114,550 references were taken from the primary data source, the Web of Science™. An analysis of 114,550 citations was carried out using the Web of Science™ online analytics tool and Excel®. Gephi™, a data visualisation and manipulation software, was used to provide a visual representation of the citation networks. Results indicate that the most published authors within AMJ throughout the journal’s history are Ivancevich, Golembiewski and Hambrick. The three most cited authors within AMJ are Pfeffer, Porter and Thompson. The single most cited article is Pfeffer and Salancik’s 1978 article The external control of organizations: a resource dependence perspective. A keyword analysis revealed that the most important terms used in the journal’s history were ‘Performance’, ‘Organization’ and ‘Work’. Results from this paper extend our previous citation analyses of key journals in the discipline of Higher Education to a new discipline—the field of Management. The paper provides evidence of how visual analyses can help to represent the citation “geography” of a journal over time.
The renewable energy consumption–economic growth nexus is a growing area of research over the last few years, emanating to mixed results. The aim of the current study is to quantitatively synthesise the empirical literature on the subject using the meta-analysis approach. In particular, a meta-multinomial regression is employed to investigate the sources of variation in the direction of causality between renewable energy consumption and economic growth. This causal relationship takes the form of four hypotheses, namely the feedback, conservation, growth and neutrality hypotheses. To the best of author's knowledge, this study constitutes the first meta-analysis undertaken on the renewable energy consumption–economic growth nexus. The empirical results reveal that the variation in the supported hypotheses is due to a number of characteristics including model specification, data characteristics, estimation techniques (cointegration methods and causality tests), and development level of the country on which a study was conducted.
South Korea’s finance–growth nexus is empirically investigated by taking the elements of financial crisis and trade and financial openness through the newly developed approach of vector error-correction models (ECMs) with weakly exogenous I(1) variables (VARX). Considering financial development as a more complex phenomenon, we take into estimation two aspects of financial deepening that are measured by its size (private credit to GDP) and efficiency (private credit to total domestic deposits). The main findings are (1) financial efficiency contributes to accelerating economic growth; (2) the causality between economic growth and financial size is bilateral and negative; and (3) financial crisis is negative to both economic growth and financial development, whereas the growth-promoting effects of trade and financial openness are confirmed.
For over two decades, policy makers and regulators in a number of countries around the world have been grappling with market reform, liberalization, restructuring, and privatization issues. While a great deal has been learned in the process and a blueprint for implementation has emerged, successful market design still remains partly art and partly science. The international experience to date indicates that in most cases, initial market reform leads to unintended consequences, which must be addressed in subsequent "reform of the reforms." Aside from this, a number of new issues and concerns have emerged challenging the wisdom and the feasibility of introducing market reform in other markets. (11 pages)
The relationship between energy consumption and GDP growth has been intensely examined in multiple frameworks set by various methods and countries. This paper is a meta-analysis of 51 studies published in the last two decades, with worldwide data since 1949, on the relationship between energy consumption and GDP growth. The aim is to systemize some of the factors that cause the variation of results in these studies. Our results yield evidence that the long run elasticity of GDP growth with respect to energy consumption is not independent of the method employed for cointegration, the data type and the inclusion of variables such as the price level or capital in the cointegration equation. Also 1% increase in capital, increases the elasticity of GDP with respect to energy consumption by 0.85%.
Investigates the causal nexus between energy consumption, CO2 emissions, economic growth, openness and urbanization.•Main results provide evidence supporting the Environmental Kuznets Curve hypothesis.•Short-run unidirectional panel causality from energy consumption, trade openness and urbanization to carbon emissions.•Unidirectional causality from GDP to energy consumption, from GDP, energy consumption and urbanization to openness.•Short-run unidirectional panel causality from urbanization to GDP, and from urbanization to trade openness.
This article explores how to search and critique the research literature. This involves explaining how to generate a robust literature review question, search databases in the most effective manner and produce a robust analysis of the literature. The article also outlines how a novice literature reviewer might develop the skills required to undertake a critical analysis of the available evidence. In this manner, the reader is able to present a coherent debate on the state of the literature and how this might be used to construct a comprehensive rationale for why further research or analysis of clinical practice may be needed in relation to a particular topic of interest.
This study examines the linkages among economic growth, energy consumption, financial development, trade openness and CO2 emissions over the period of 1975Q1–2011Q4 in case of Indonesia. The stationary analysis is performed by using Zivot–Andrews unit root test and the ARDL bounds testing approach for a long run relationship between the series in the presence of structural breaks. The causality between the concerned variables is examined by the VECM Granger causality technique and robustness of causal analysis is tested by innovative accounting approach (IAA).Our results confirm that the variables are cointegrated; it means that the long run relationship exists in the presence of structural breaks. The empirical findings indicate that economic growth and energy consumption increase CO2 emissions, while financial development and trade openness compact it. The VECM causality analysis has shown the feedback hypothesis between energy consumption and CO2 emissions. Economic growth and CO2 emissions are also interrelated i.e. bidirectional causality. Financial development Granger causes CO2 emissions. The study opens up new policy insights to control the environment from degradation by using energy efficient technologies. Financial development and trade openness can also play their role in improving the environmental quality.
This paper empirically examines the dynamic causal relationships between carbon dioxide emissions, energy consumption, economic growth, trade openness and urbanization for the panel of newly industrialized countries (NIC) using the time series data for the period 1971–2007. Using four different panel unit root tests it is found that all panel variables are integrated of order 1. From the Johansen Fisher panel cointegration test it is found that there is a cointegration vector among the variables. The Granger causality test results support that there is no evidence of long-run causal relationship, but there is unidirectional short-run causal relationship from economic growth and trade openness to carbon dioxide emissions, from economic growth to energy consumption, from trade openness to economic growth, from urbanization to economic growth and from trade openness to urbanization. It is found that the long-run elasticity of carbon dioxide emissions with respect to energy consumption (1.2189) is higher than short run elasticity of 0.5984. This indicates that over time higher energy consumption in the newly industrialized countries gives rise to more carbon dioxide emissions as a result our environment will be polluted more. But in respect of economic growth, trade openness and urbanization the environmental quality is found to be normal good in the long-run.
The aim of this paper is to examine the causal relationship between financial development, trade, economic growth, energy consumption and carbon emissions in Turkey for the 1960–2007 period. The bounds F‐test for cointegration test yields evidence of a long-run relationship between per capita carbon emissions, per capita energy consumption, per capita real income, the square of per capita real income, openness and financial development. The results show that an increase in foreign trade to GDP ratio results an increase in per capita carbon emissions and financial development variable has no significant effect on per capita carbon emissions in the long- run. These results also support the validity of EKC hypothesis in the Turkish economy. It means that the level of CO2 emissions initially increases with income, until it reaches its stabilization point, then it declines in Turkey. In addition, the paper explores causal relationship between the variables by using error-correction based Granger causality models.
The goal of this paper is to present a visual mapping of intellectual structure in two-dimensions and to identify the subfields of the technology acceptance model through co-citation analysis. All the citation documents are included in the ISI Web of Knowledge database between 1989 and 2006. By using a sequence of statistical analyses including factor analysis, multidimensional scaling, and cluster analysis, we identified three main trends: task-related systems, e-commerce systems, and hedonic systems. The findings yielded managerial implications for both academic and practical issues.
This study identified the most frequently cited tourism scholars in two time periods (1970–2007, and 1998–2007). Google Scholar (www.scholar.google.com) and Publish or Perish (www.harzing.com) were used to analyze citation counts. A total of 58 tourism academics registered at least 500 citations for their books and journal articles published at any time between 1970 and 2007, while a minimum of 250 citations were recorded by 48 authors for their works published since 1998. The study suggests that Google Scholar and Publish or Perish may provide an alternative means to develop impact scores for tourism scholars, provided a number of codicils are considered.
This article explores one facet of the relationship between the academic disciplines of hospitality and tourism. Citation analysis of articles in hospitality and tourism journals confirms previous research that reveals that there is little intermingling of research between the hospitality and tourism fields. More citations occur within disciplines than across disciplines. However, by far the most citations are to sources outside the hospitality and tourism areas entirely. Implications of these results are discussed.
This paper proposes a systematic framework for analyzing the dynamic effects of permanent and transitory shocks on a system of n economic variables. We consider a two-step orthogono lization on the residuals of a VEC~I \vith r cointegrating vectors. The first step separates the permanent from the transitory shocks, and the second step isolates n - r mutually independent permanent shocks and r transitory shocks. The approach exploits the cointegrating relationships in the data. Although theoretical restrictions can be used, they are not necessary. vVe also show how impulse response functions can be constructed to trace out the propagating mechanism of shocks distinguished by their degree of persistence. This differs from the common approach of distinguishing shocks by their origin, and hence offers a complementary way of analyzing macroeconomic dynamics.
We investigate the influence of articles, authors, journals and institutions in the field of environmental and ecological economics. We depart from studies that investigated the literature until 2001 and include a time period that has witnessed an enormous increase of importance in the field. We adjust for the age effect given the huge impact of the year of an article's publication on its influence and we show that this adjustment does make a substantial difference — especially for disaggregated units of analysis with diverse age characteristics such as articles or authors. We analyse 6597 studies on environmental and ecological economics published between 2000 and 2009. We provide rankings of the influential articles, authors, journals and institutions and find that Ecological Economics, Energy Economics and the Journal of Environmental Economics and Management have the most influential articles, they publish very influential authors and their articles are cited most. The University of Maryland, Resources for the Future, the University of East Anglia and the World Bank appear to be the most influential institutions in the field of environmental and ecological economics.
Purpose
The objective of this paper is to simultaneously identify influential articles, journals, institutions, and researchers in marketing research in recent years using a threshold citation analysis.
Design/methodology/approach
The threshold citation analysis counts the number of times a research work is cited by articles published in a set of elite marketing journals. In order to be included in the analysis, the research work must be cited 18 or more times. This threshold is used to measure influence and is unique in the ranking of marketing research. The threshold citation analysis incorporates the quality, the importance, and the influence of research works in the ranking criteria and is not limited to a set of journals nor confined by the year a research work is published.
Findings
The three frequently cited articles in marketing research are Fornell and Larcker, Baron and Kenny, and Anderson and Gerbing. Journal of Marketing , Journal of Marketing Research , and Journal of Consumer Research are the three marketing journals having the greatest influence in marketing research. As for the ranking of institutions, the three most influential institutions in marketing research are Northwestern University, the University of Pennsylvania, and the University of Michigan while the three frequently cited authors in marketing research are Richard Oliver, Valarie Zeithaml, and James Anderson.
Originality/value
First, this study identifies influential research works, journals, institutions, and researchers in marketing simultaneously and is in sharp contrast to the traditional approaches that identify influential research works, journals, institutions, and researchers separately. Second, this analysis mitigates the limitations that have plagued the quantity oriented publication‐based approach and the quality oriented citation‐based approach, making these findings more robust and inclusive. Finally, this paper identifies non‐marketing journals, non‐marketing articles, and scholarly books that have significant impact on contemporary marketing research. Consequently, this study offers new and comprehensive insights to the rankings research in marketing that were neglected by previous studies.
This note reports results of an empirical test for determining the causal relationship between energy and gross national product. According to a current view, there is a constant and unchanging relationship between gross energy consumption and GNP. A logical corollary is that energy conservation is an unacceptable policy option since it would adversely influence economic activity. This implies that the direction of causality runs from energy to GNP as well as the other way around. With regard to the issue of causation, Sims (J. Am. Statis. Assn., Mar 1972) developed a test for unidirectional causality, which he applied to test the existence of a causal relationship between money and GNP. In this note, the authors attempt to determine both the empirical relationship between gross energy inputs and GNP and the presence of a causal link between these variables. The main empirical finding is that causality is unidirectional, only running from GNP to energy for the postwar period, and there is no causality from energy to GNP.
Content analysis is a method for analysing the content of a variety of data, such as visual and verbal data. It enables the reduction of phenomena or events into defined categories so as to better analyse and interpret them. This paper provides an overview of content analysis from a marketing perspective. The basic concepts and techniques are presented for operationalising content analyses. As a methodology, it can be both qualitative, usually in developmental stages of research, and quantitative where it is applied to determine frequency of phenomena. Thus, it lends itself to the use of computers to analyse data and, therefore, some of the main packages currently available to researchers are mentioned. The benefits and limitations of adopting content analysis are discussed along with an introduction to sequential analysis, a complementary approach which may be used to enhance understanding and strengthen research design.
The primary purpose of the current study is to identify how human resource development (HRD) research has contributed to the knowledge base across social science disciplines during the past two decades. We identified the top 20 Academy of Human Resource Development (AHRD) journal articles that have been most frequently cited in research articles published in journals other than the four AHRD journals. With the use of content analysis of the most-cited articles, three key research themes were identified: (a) training transfer and evaluation, (b) learning in organizations, and (c) knowledge sharing and knowledge creation. The research contributions of HRD within the field of HRD and across disciplines are discussed.
This paper complements a recent study by Ramos-Rodriguez and Ruiz-Navarro (2004) that investigated the intellectual structure of the strategic management field through co-citation analysis. By using authors as the units of analysis and incorporating all the citations that are included in the Science Citation Index and the Social Science Citation Index, we trace the evolution of the intellectual structure of the strategic management field during the period 1980–2000. Using a variety of data analytic techniques such as multidimensional scaling, factor analysis, and Pathfinder analysis, we (1) delineate the subfields that constitute the intellectual structure of strategic management; (2) determine the relationships between the subfields; (3) identify authors who play a pivotal role in bridging two or more conceptual domains of research; and (4) graphically map the intellectual structure in two-dimensional space in order to visualize spatial distances between intellectual themes. The analysis provides insights about the influence of individual authors as well as changes in their influence over time. Copyright © 2007 John Wiley & Sons, Ltd.
Unlike previous renewable energy consumption-growth studies, this study examines the relationship between renewable and non-renewable energy consumption and economic growth for 80 countries within a multivariate panel framework over the period 1990–2007. The Pedroni (1999, 2004) heterogeneous panel cointegration test show a long-run equilibrium relationship between real GDP, renewable energy consumption, non-renewable energy consumption, real gross fixed capital formation, and the labor force with the respective coefficient estimates positive and statistically significant. There is little difference in the elasticity estimates with respect to renewable and non-renewable energy consumption. The results from the panel error correction model reveal bidirectional causality between renewable and non-renewable energy consumption and economic growth in both the short- and long-run. Also, there is bidirectional short-run causality between renewable and non-renewable energy consumption indicative of substitutability between the two energy sources.Research highlights► 80 country panel study from 1990-2007 on the renewable and non-renewable energy consumption-growth relationship. ► Renewable and non-renewable energy consumption each has a positive impact on real GDP in the long run. ► Bidirectional causality between renewable and non-renewable energy consumption and economic growth.
This paper extends my previous analysis of the causal relationship of GDP and energy use in the USA in the post-war period. A majority of the relevant variables are integrated justifying a cointegration analysis. The results show that cointegration does occur and that energy input cannot be excluded from the cointegration space. The results are plausible in terms of macroeconomic dynamics. The results are similar to my previous Granger causality Ž . results and contradict claims in the literature based on bivariate models that there is no cointegration between energy and output. 2000 Elsevier Science B.V. All rights reserved.
This chapter uses fully modified OLS principles to develop new methods for estimating and testing hypotheses for cointegrating vectors in dynamic panels in a manner that is consistent with the degree of cross sectional heterogeneity that has been permitted in recent panel unit root and panel cointegration studies. The asymptotic properties of various estimators are compared based on pooling along the 'within' and 'between' dimensions of the panel. By using Monte Carlo simulations to study the small sample properties, the group mean estimator is shown to behave well even in relatively small samples under a variety of scenarios.
Recent developments in macroeconomic theory emphasize that transient economic fluctuations can arise as responses to changes in long run factors -- in particular, technological improvements -- rather than short run factors. This contrasts with the view that short run fluctuations and shifts in long run trends are largely unrelated. We examine empirically the effect of shifts in stochastic trends that are common to several macroeconomic series. Using a linear time series model related to a VAR, we consider first a system with GNP, consumption and investment with a single common stochastic trend; we then examine this system augmented by money and prices and an additional stochastic trend. Our results suggest that movements in the "real" stochastic trend account for one-half to two-thirds of the variation in postwar U.S. GNP.
Purpose
The purpose of this paper is to survey the empirical literature on the causal relationship between energy consumption and economic growth.
Design/methodology/approach
The four major hypotheses (growth, conservation, neutrality, and feedback) are briefly outlined with respect to the energy consumption‐growth nexus and corresponding policy implications of each. The survey focuses on country coverage, variables selected and model specification, econometric approaches, various methodological issues, and empirical results.
Findings
Though there is no clear consensus on the results for a specific country or groups of countries, directions for future research are discussed.
Research limitations/implications
The research surveyed may be dated by the time of publication given the ongoing research in this area.
Originality/value
This paper serves as a reference for researchers on the causal relationship between energy consumption and economic growth.
This paper examines the causal relationships between carbon dioxide emissions, energy consumption and real economic output using panel cointegration and panel vector error correction modeling techniques based on the panel data for 28 provinces in China over the period 1995-2007. Our empirical results show that CO2 emissions, energy consumption and economic growth have appeared to be cointegrated. Moreover, there exists bidirectional causality between CO2 emissions and energy consumption, and also between energy consumption and economic growth. It has also been found that energy consumption and economic growth are the long-run causes for CO2 emissions and CO2 emissions and economic growth are the long-run causes for energy consumption. The results indicate that China's CO2 emissions will not decrease in a long period of time and reducing CO2 emissions may handicap China's economic growth to some degree. Some policy implications of the empirical results have finally been proposed.
This paper examines dynamic causal relationships between pollutant emissions, energy consumption and output for a panel of BRIC countries over the period 1971-2005, except for Russia (1990-2005). In long-run equilibrium energy consumption has a positive and statistically significant impact on emissions, while real output exhibits the inverted U-shape pattern associated with the Environmental Kuznets Curve (EKC) hypothesis with the threshold income of 5.393 (in logarithms). In the short term, changes in emissions are driven mostly by the error correction term and short term energy consumption shocks, as opposed to short term output shocks for each country. Short-term deviations from the long term equilibrium take from 0.770 years (Russia) to 5.848 years (Brazil) to correct. The panel causality results indicate there are energy consumption-emissions bidirectional strong causality and energy consumption-output bidirectional long-run causality, along with unidirectional both strong and short-run causalities from emissions and energy consumption, respectively, to output. Overall, in order to reduce emissions and not to adversely affect economic growth, increasing both energy supply investment and energy efficiency, and stepping up energy conservation policies to reduce unnecessary wastage of energy can be initiated for energy-dependent BRIC countries.
This is an empirical study on the causal relationship between economic growth and renewable energy for 27 European countries in a multivariate panel framework over the period 1997-2007 using a random effect model and including final energy consumption, greenhouse gas emissions and employment as additional independent variables in the model. Empirical results do not confirm causality between renewable energy consumption and GDP, although panel causality tests unfold short-run relationships between renewable energy and greenhouse gas emissions and employment. The estimated cointegration factor refrains from unity, indicating only a weak, if any, relationship between economic growth and renewable energy consumption in Europe, suggesting evidence of the neutrality hypothesis, which can partly be explained by the uneven and insufficient exploitation of renewable energy sources across Europe.
This paper examines the long run and causal relationship issues between economic growth, carbon emissions, energy consumption and employment ratio in Turkey by using autoregressive distributed lag bounds testing approach of cointegration. Empirical results for Turkey over the period 1968-2005 suggest an evidence of a long-run relationship between the variables at 5% significance level in Turkey. The estimated income elasticity of carbon emissions per capita is -0.606 and the income elasticity of energy consumption per capita is 1.375. Results for the existence and direction of Granger causality show that neither carbon emissions per capita nor energy consumption per capita cause real GDP per capita, but employment ratio causes real GDP per capita in the short run. In addition, EKC hypothesis at causal framework by using a linear logarithmic model is not valid in Turkish case. The overall results indicates that energy conservation policies, such as rationing energy consumption and controlling carbon dioxide emissions, are likely to have no adverse effect on the real output growth of Turkey.
This paper applies the most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models to re-investigate co-movement and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for 16 Asian countries during the 1971–2002 period. It employs the production side model (aggregate production function). The empirical results fully support a positive long-run cointegrated relationship between real GDP and energy consumption when the heterogeneous country effect is taken into account. It is found that although economic growth and energy consumption lack short-run causality, there is long-run unidirectional causality running from energy consumption to economic growth. This means that reducing energy consumption does not adversely affect GDP in the short-run but would in the long-run; thus, these countries should adopt a more vigorous energy policy. Furthermore, we broaden the investigation by dividing the sample countries into two cross-regional groups, namely the APEC and ASEAN groups, and even more important results and implications emerge.
In this paper, we examine the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971–2006. Unlike the majority of the previous studies, we employ the newly developed autoregressive distributed lag (ARDL)-bounds testing approach by Pesaran et al. [2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16, 289–326] to examine this linkage. We also use two proxies of energy consumption, namely total energy consumption per capita and electricity consumption per capita. The results of the bounds test show that there is a stable long-run relationship between each of the proxies of energy consumption and economic growth. The results of the causality test, on the other hand, show that there is a unidirectional causal flow from total energy consumption to economic growth and a prima-facie causal flow from electricity consumption to economic growth. Overall, the study finds that energy consumption spurs economic growth in Tanzania.