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Environmental degradation is one of the most significant issues that developing nations confront and needs to be resolved right away in order for them to achieve sustainable development. Government policies are crucial in this situation since emerging nations frequently struggle with the issue of policy ambiguity, which can result in environmental...
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... Another study (Zhang et al. 2022c), also focusing on Chinese city-level data, showed a nonlinear spillover effect of the digital economy on carbon emission performance with changes in energy consumption structure, energy intensity, energy consumption scale, government intervention, and urban greening. Empirical evidence from 91 countries (Anwar et al. 2023) showed an inverted U-shaped relationship between ICT and carbon emissions intensity and a heterogeneity effect in this relationship due to environmental regulation. An investigation of the relationship between global ICTs and carbon emissions intensity showed that once the development of ICTs reaches a threshold, ICTs exhibit a reduction in CO2. ...
Digital technologies have changed consumption patterns and economic growth, increased energy consumption and raised concerns about their environmental impact. This study delves into this multifaceted dynamic by employing data sourced from 30 provinces across China. Employing both fixed effects regression and panel threshold regression models, the analysis scrutinizes these dynamics through a lens tightly aligned with labor force considerations, notably population aging and human capital levels. Heterogeneity analysis is performed on the basis of the linear and nonlinear impact of the digital economy on carbon emission reduction. The empirical findings reveal several significant insights: firstly, the expansion of the digital economy exhibits a pronounced negative correlation with carbon emissions intensity. Secondly, as the degree of population aging deepens, the suppressive effect of digital economic development on carbon emissions intensity correspondingly intensifies. Thirdly, the efficacy of carbon emission reduction attributable to the digital economy becomes stronger within contexts characterized by relatively elevated levels of human capital. Additionally, the discernible carbon emission reduction effect of the digital economy is more pronounced in the western region. These research outcomes furnish compelling empirical evidence to inform policymakers on strategies geared toward fostering the harmonized advancement of the digital economy and regional environmental governance.
... Economic growth and environmental degradation:. Recent literature (e.g., 58,14,90 ) has analyzed the non-linear influence of EG on ecological footprint and CE, which is named the EKC. This proposition was proposed by Grossman and Krueger, 38 who explained that initially, an increase in GDP growth causes an increase in environmental pollution indicators, reaching a particular cutoff point, and an additional rise in EG provides support for environmental sustainability. ...
The latest progress summary of sustainable development goals (SDGs) in 2023 reveals that the ongoing growth pattern of Asian economies is inadequate. Asian countries are facing several challenges in securing the targets of SDGs, and environmental degradation is one of the major issues among them. Hence, urgent actions are required to attain SDG targets. Several studies in the available literature have considered multiple determinants of environmental degradation. However, the/home/eae impact of green production practices (GPP) and geopolitical risk (GPR) is relatively ignored particularly in the framework of Asian economies. Therefore, it is needed to propose an extensive policy framework for attaining the objectives of SDGs and raising environmental quality. Moreover, this study is a pioneering attempt that scrutinizes the eclectic influence of green production practices and geopolitical risk on carbon emissions. The study follows the model based on the environmental Kuznets curve (EKC) hypothesis for selected Asian countries. The study has utilized the Panel Quantile Regression (PQR) technique to analyze the facts from selected Asian economies from 1990 to 2020. The long-run evaluations reveal the EKC hypothesis proves valid in the preferred Asian economies. Moreover, green production practices play a crucial role in controlling the rising levels of carbon emissions in the selected Asian countries whereas, geopol-itical risk and foreign direct investments are proven constructive elements in raising carbon emissions. Lastly, based on the empirical outcomes, this study provides policy implications for achieving the targets of SDG 07, SDG 09, SDG 12, SDG 13, SDG 15, SDG 16, and SDG 17.
... At a later stage, with a significant increase in income level, people demand green projects to help secure the present & future generations from environmental degradation. This outcome can be verified via the results of some recent studies [refers: [144][145][146][147] ]. In addition, this study examines the association of the non-linear relationship with load capacity factors and finds interesting outcomes. ...
In the modern world, the globe has been trapped by severe challenges, and an abrupt increase in environmental deterioration (ED) is one of these. The practitioners have recently tried to suggest several green initiatives to combat rising environmental concerns, but the problem remains intact. Most economies have priorities to meet their socio-economic target, and practitioners are unaware of true challenges and best alternatives. This study makes an effort to introduce the true challenges (income, urbanization, and natural resources) and best alternative (renewable energy, information & communication technology (ICT), and circular economy) for carbon footprint in the top 28 waste re-cycled economies (WRE) throughout 2000–2021. In order to obtain robust outcomes, the present study uses the most reliable estimators, and the Q-GMM is the most prominent. The outcomes describe a positive role of income, urbanization, and natural resources in carbon footprint. On the other hand, ICT, renewable energy, and the circular economy decline ED. The renewable energy and circular economy mediating role on urbanization shows supportive behavior in sustainability but finds only a significant role of circular economy in sustainable urbanization. Using a quadratic income form, this study validates the EKC & LCC hypotheses for specified economies. On behalf of outcomes, this study suggests imperative implications to become clean & green shortly.
... In contrast to our study, Refs. [5,52,63,75,95,99,101] found that EPU negatively affects environmental quality. For example, Ref. [63] examined sub-Saharan African countries in their studies. ...
This study aimed to determine the impact of economic policy uncertainty and geopolitical risk on environmental quality in 17 selected countries. In addition, it also aimed to test the environmental Kuznets curve hypothesis (EKC) within the scope of the determined variables and model. In this context, analyses were carried out with annual data for the period 1997–2022, based on the country group for which the economic policy uncertainty index was calculated, subject to data limitations. In this study, a Quantile Regression of Panel Data (QRPD) analysis, OLS (Ordinary Least Squares), and a panel causality test were used. As a result of the estimation with the Quantile Regression of Panel Data (QRPD), it was found that the increase in economic policy uncertainty had a positive effect on environmental quality in most of the quantiles, while geopolitical risk had significant and negative effects on environmental quality in the medium and high quantiles. The validity of the EKC hypothesis was also proved in the analysis. According to the results of the panel causality test, there was a bidirectional causality relationship between environmental quality and all the independent variables, except the square of economic growth. In order to make a comparison with the new-generation estimation method, QRPD, it was observed that the estimation results with the classical regression method, OLS, were similar. In light of these findings, it is recommended that policy makers pursue strategies that balance economic growth and environmental quality, reduce the environmental impacts of geopolitical risks, and favor a renewable energy transition. Moreover, long-term and stable environmental policies have a crucial role in the success of these strategies.
... Positive investor sentiment serves to mitigate the adverse effects of economic policy volatility on GI. In the study conducted by Li et al. [23], the researchers explore how institutional factors affecting uncertainty influence the relationship between environmental investments (EIs) and green innovation (GI). Their findings demonstrate that EIs have a positive effect on GI, including both green invention and green utility; however, this positive effect is weakened by political uncertainty (PU). ...
This research investigates the influence of economic policy uncertainty (EPU) and its squared term (squared EPU) on the advancement of environmental technologies and the registration of environmental patents in the BRICS nations over the period from 2010 to 2022. Employing the cross-section autoregressive distributed lag (CS-ARDL) technique, the analysis reveals a significant negative relationship liaison between EPU and both environmental innovation and patent registrations, indicating that an increased uncertainty discourages investment in sustainable technologies. Conversely, a positive relationship was found with square EPU, suggesting that elevated levels of uncertainty may stimulate innovative responses as firms seek to differentiate themselves in a competitive market. These findings underscore the necessity for stable and transparent policy frameworks to foster long-term commitments to environmental innovation. This research enriches the literature by illustrating the dual nature of EPU and its differentiated effects on eco-innovation.
... However, the strength of this effect varies by industry and company. On the other hand, reverse logistics can help a firm gain a competitive advantage, but this relationship is frequently mediated by the firm's operational performance [6]. Companies that can effectively use their reverse logistics capabilities to generate unique resources and capabilities are more likely to gain a comparative and competitive advantage [4][5][6]. ...
... On the other hand, reverse logistics can help a firm gain a competitive advantage, but this relationship is frequently mediated by the firm's operational performance [6]. Companies that can effectively use their reverse logistics capabilities to generate unique resources and capabilities are more likely to gain a comparative and competitive advantage [4][5][6]. ...
... In the electronics industry, forward logistics management, information technology, and corporate citizenship all have a direct positive impact on reverse logistics management, which in turn improves logistics performance. Implementing sustainable reverse logistics practices can significantly improve economic, environmental, and social performance in the manufacturing industry [6]. The impact of reverse logistics performance on the manufacturing industry is multifaceted, affecting resource commitment, innovation, environmental efficiency, competitiveness, and overall logistics performance in a variety of ways across industries and regions. ...
The study examined the factors that influence the performance of Tanzania's newspaper industry. The research was guided by resource-based theory. The study employed the positivist research paradigm and an explanatory cross-sectional survey research design. A simple random sampling technique was used to produce a sample size of 300 respondents. Data were gathered using a questionnaire and a documentary review. Inferential statistics analysis was performed on the collected data using Partial Squares Structural Equation Modeling with SmartPLS 4, and descriptive statistics analysis was performed on data collected about respondents' profiles using IBM SPSS Statistics Version 26. The findings show that competitive advantage, firm resources, and reverse logistics performance all have a positive impact on the performance of the newspaper industry. The study concludes that competitive advantage, firm resources, and reverse logistics performance all influence the performance of the newspaper industry. The study recommends that newspaper companies in Tanzania and other developing countries use their competitive advantages, resources, and reverse logistics to improve the performance of the newspaper industry.
... Similarly, research on geopolitical risks and trade policy uncertainty has highlighted the broader impacts of international political and economic instability on environmental outcomes. We provide empirical literature on the relationships between various measures of uncertainty (EPU, TPU, WUI, geopolitical risk, etc.) and the environment (Amin and Dogan 2021;Udeagha and Muchapondwa 2022;Teng et al. 2023;Li et al. 2023;Zhang et al. 2023;Anwar et al. 2023;Chu et al. 2023;. This literature is divided into two strands; (i) Economic Policy Energy (EPU) and the environment and (ii) Geopolitical risk, trade policy uncertainty, and the environment. ...
... Therefore, not consistent with the major conclusion of Haque and Magnusson (2021) where uncertainty is found to dampen output growth and hence reduce inflation in the United States. Therefore, our finding is supported by Amin and Dogan (2021) for China, Anwar et al. (2023) for a group of emerging economies, and Karim et al. (2023) for the United States, wherein a change in CO 2 emissions is traceable to a change economic or climate policy uncertainty. Finally, our results suggest a strong positive correlation between energy-related uncertainty and EFP. ...
Several existing studies show that macroeconomic uncertainties intensify global environmental and climate challenges, putting the globe at risk of not being able to achieve the United Nations' Sustainable Development Goals by 2030. In this study, we provide global evidence on the role of energy-related uncertainty in the energy-environment dilemma between 1996 and 2021. We employ three distinct environmental indicators-load capacity factor (LCF), carbon dioxide emissions (CO 2), and ecological footprint (EFP)-alongside a comprehensive global energy-related uncertainty index and time-frequency-quantile methods based on the Wavelet Quantile Correlation, Cross-Quantilogram, and Wavelet Local Multiple Correlation with Dominance. The empirical results suggest negative and strong nonlinear dependencies between energy-related uncertainty and the LCF across periods and quantiles. The results further suggest that the energy-related uncertainty has positive and strong nonlinear dependences not only with CO 2 emissions but also EFP across various periods and quantiles. The results further suggest that the dependences between energy-related uncertainty and environmental indicators vary across periods and quantiles, with evidence of stronger dependency structures in the long run. These findings underscore the substantial influence of energy-related uncertainties on contemporary environmental challenges. We suggest that governments and policymakers need to reshape policy directives toward mitigating the environmental effects of energy-related uncertainties.
... In recent decades, global concern about achieving sustainable development has been at an all-time high due to the growing issue of environmental pollution. Addressing environmental degradation is paramount for developing nations to attain sustainable development promptly [5,6]. The increasing worries about environmental degradation necessitate achieving greater green growth [7]. ...
This study examines the linkage of green finance and green growth under the regulatory role of green energy and green production in 52 countries worldwide from 2005 to 2019. Applying the Bayesian regression and GMM regression, the results of these two methods are similar. When ignoring the regulatory role of green energy and green production, green finance negatively impacts green growth. This result is entirely opposite when considering the regulatory role of green energy and green production, green finance impacts green growth positively. However, Bayesian regression is more effective when providing different posterior probability intervals and probability ranges for independent variables to affect the dependent variable. Specifically, the probability that green financial growth has a negative impact on green growth is above 75.86 %. Similarly, under the role of green energy, the probability that green finance growth has a positive impact on green growth is 80.45 % and under the role of green production, this probability is 76.64 %. These findings imply that countries should build a financial system associated with the goal of green energy and green production, thereby helping the economy become greener.
... Co-citation graphs provide insight into knowledge transfer and evolution within an academic field. In this section, CiteSpace is used to draw the co-citation network and finally get (Anwar et al., 2023), and used policy uncertainty as a variable to explore its impact on the development of renewable energy (Anwar et al., 2023;Liang et al., 2022;Nakhli et al., 2022). Environmental policy stringency, EKC, economic policy uncertainty, and ecological footprint reflecting the nonlinear relationship between economic development and environmental degradation are the basic sources of these clusters. ...
... Co-citation graphs provide insight into knowledge transfer and evolution within an academic field. In this section, CiteSpace is used to draw the co-citation network and finally get (Anwar et al., 2023), and used policy uncertainty as a variable to explore its impact on the development of renewable energy (Anwar et al., 2023;Liang et al., 2022;Nakhli et al., 2022). Environmental policy stringency, EKC, economic policy uncertainty, and ecological footprint reflecting the nonlinear relationship between economic development and environmental degradation are the basic sources of these clusters. ...
This research conducts a comprehensive analysis of the intricate relationship between renewable energy and the sustainable development goals (SDGs). Employing diverse methodologies including latent dirichlet allocation (LDA) topic modeling, bibliometrics, citation analysis, and regression modeling, the study explores the evolving landscape of renewable energy research and its implications for SDGs. The analysis identifies a pronounced scholarly interest in renewable energy, reflected in the escalating publication volumes and citations across environmental sciences, green technology, and energy studies. Through meticulous examination, it uncovers interconnected research themes; encompassing policy uncertainty, Environmental Kuznets Curve, and ecological footprint, elucidating the multifaceted impact of renewable energy on the SDGs. Geographical distributions underscore diverse regional focuses, emphasizing the need for nuanced, context‐specific approaches. Regression analysis highlights influential factors like carbon dioxide emissions and gross domestic product (GDP) growth, delineating their pivotal roles in shaping scholarly attention toward renewable energy research. Furthermore, the study delves into the economic, environmental, and social dimensions of renewable energy's influence. It reveals its contributions to employment generation, sustainable production, energy access, and infrastructure development while navigating challenges related to climate change mitigation and biodiversity conservation. This comprehensive investigation offers crucial insights into the complex interplay between renewable energy and the SDGs. It predicts future research directions and highlights the urgency for interdisciplinary collaboration, international cooperation, and policy innovations to harness renewable energy's transformative potential for global sustainable development.
... The "tunnel effect" of equity concentration is mainly reflected in the opportunistic behavior of major shareholders towards minority shareholders, such as "benefit erosion." Since one of the most important obstacles to the adoption of environmental protection measures and the development of green technology is financial constraints (Anwar et al. 2023), the major shareholders, considering the "crowding out effect" of environmental protection inputs on the enterprise's resources, do not actively support the enterprise to increase environmental protection inputs and green technological innovations, which makes the enterprise to retain redundant capital. In this case, the majority shareholders do not actively support the enterprise to increase environmental protection investment and green technology innovation, thus allowing the enterprise to retain the redundant capital, and the majority shareholders have more "voice" in the decision-making process, so it is more convenient to absorb the redundant capital, which is easy to cause damage to the interests of minority shareholders, and the majority shareholders have a more obvious "tunneling effect" at this time. ...
Heavy-polluting enterprises’ investment in environmental protection will have a “crowding out effect” on their other inputs, affecting enterprise performance. However, if the environmental protection investment of enterprises improves their green technology innovation ability, resulting in the “innovation compensation effect,” which can offset the “crowding out effect” of environmental protection inputs, it may have a positive impact on enterprise performance. This can offset the “crowding out effect” of environmental investment and may promote the performance of enterprises. At the same time, equity concentration plays the role of “tunneling effect” and “monitoring and incentive effect” in the process of environmental protection investment affecting the performance of heavy-polluting enterprises. The paper selects the data of A-share listed heavy-polluting enterprises in China from 2010 to 2019 and analyzes the impacts of environmental protection investment and green technology innovation on the performance of heavy-polluting enterprises by using a multidimensional panel fixed-effects model. The results show that environmental protection investment will improve the performance of heavy-polluting enterprises by improving their green technology innovation ability; green technology innovation plays a partly intermediary role in the process of environmental protection investment affecting the performance of enterprises, and the magnitude of this intermediary role is regulated by the concentration of corporate equity. Based on the results of the empirical study, it is recommended that heavy-polluting enterprises should accelerate the pace of green technology research and development and results transformation, optimize the proportion of equity allocation, and achieve the dual goals of fulfilling environmental responsibilities and enhancing corporate performance.
