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... basis of empirical analyses presented in the work comprise two types of indicators for 2017. The indicators used by the European Commission to monitor progress in the implementation of the "Agenda for Sustainable Development 2030" in the European Union (Table 1) and the indicators used to assess the level of innovation of the EU countries published periodically by the European Commission in the European Innovation Scoreboard reports (Table 2). ...Context 2
... development indicators, as proposed in Cheba's work (2019), were divided into four orders; economic, social, environmental, and institutional and political ones, which was considered important in the case of the analyses carried out at the macroeconomic level. To each of the highlighted features the symbol xi.j. is assigned, where i is the number of the area in which the feature is located, while j is the number of the feature (Table 1). Moreover, their influence on the analyzed phenomenon through the classification of each attribute to a set of characteristics stimulating the development in a given area (symbol S ) or destimulating it (symbol D) (Cheba, 2019). ...Context 3
... research included all diagnostic features, which are presented in Tables 1 and 2. The authors are aware that some features may be highly correlated, which means duplicating the same information. ...Context 4
... also avoids the situation in which the level of development of the analyzed countries could be determined by the average results obtained on the basis of all these areas, whereas this approach dominates in the studies of the level of socio-economic development of various entities. High diversity of these entities in different areas, as in the case of sustainable development (Table 1) and the level of innovation (Table 2) may lead to distortion of the obtained results. ...Context 5
... basis of empirical analyses presented in the work comprise two types of indicators for 2017. The indicators used by the European Commission to monitor progress in the implementation of the "Agenda for Sustainable Development 2030" in the European Union (Table 1) and the indicators used to assess the level of innovation of the EU countries published periodically by the European Commission in the European Innovation Scoreboard reports (Table 2). ...Context 6
... development indicators, as proposed in Cheba's work (2019), were divided into four orders; economic, social, environmental, and institutional and political ones, which was considered important in the case of the analyses carried out at the macroeconomic level. To each of the highlighted features the symbol xi.j. is assigned, where i is the number of the area in which the feature is located, while j is the number of the feature (Table 1). Moreover, their influence on the analyzed phenomenon through the classification of each attribute to a set of characteristics stimulating the development in a given area (symbol S ) or destimulating it (symbol D) (Cheba, 2019). ...Context 7
... research included all diagnostic features, which are presented in Tables 1 and 2. The authors are aware that some features may be highly correlated, which means duplicating the same information. ...Context 8
... also avoids the situation in which the level of development of the analyzed countries could be determined by the average results obtained on the basis of all these areas, whereas this approach dominates in the studies of the level of socio-economic development of various entities. High diversity of these entities in different areas, as in the case of sustainable development (Table 1) and the level of innovation (Table 2) may lead to distortion of the obtained results. ...Similar publications
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![Figure (11) key communication points [17].](profile/Laila-Elsawaf-2/publication/348075513/figure/fig5/AS:1023838636765185@1621113561697/Figure-11-key-communication-points-17_Q320.jpg)
Housing projects have been increasing rapidly during the previous years to fulfil community needs and achieve the national and international sustainable development objectives. Due to their nature, housing projects generate a significant amount of waste that accounts for approximately 40% of the solid waste that the construction industry generates...
The research deals with identifying the elements of sustainable cities, the study and assessment of means and mechanisms to continue the routing of many cities around the world in order to turn into sustainable cities for the facing of rapid urban development and challenges associated there with, the studying of means of reduction of consumption ra...
The Sustainable Development Goals set by the United Nations in the 2030 agenda point out the need to safeguard cultural heritage and the importance of convergence towards quality education. Through different museum projects (between 2010 and 2021), the DIDPATRI research group of the University of Barcelona has developed heritage museum models follo...
Citations
... They are related to human responsibility for creating conditions for long-term social and individual well-being and harmonious relations between humans and nature (United Nations, 2015;European Commission, 2019). These challenges set out the need to introduce the concept of sustainable development that will ensure that the needs of the present generations are satisfied while the needs of future generations continue to have a chance to be met (Bak, Cheba, and Lacka, 2020). ...
Purpose: An efficient innovation system currently plays a crucial role in creating competitive prevalence, contributing to the economic growth of individual states. The innovation system is influenced by many socioeconomic factors, including in international rankings of innovativeness of economies. These classifications have some limitations. Primarily, they do not examine the efficiency, which means they do not analyze the relationship between the involved inputs and the relevant outputs generated in the innovation system. The study aims to measure the efficiency and productivity of the European state's innovation system based on the data from the international ranking of economies' innovation.
Design/Methodology/Approach: In this study, the changes in the efficiency and productivity of the innovation system coming from European states were measured using the DEA and Malmquist index methods, based on data from the European Innovation Scoreboard international ranking innovation in economies. The maximizing of economic benefits was assumed in its impact on employment and sales in a given state. The non-radial SBM model, Super SBM, and Malmquist index based on SBM were used for the research. 27 European states were subjected to the analysis in the period from 2012 to 2019.
Findings: The research results indicate that the average level of efficiency in the surveyed period fluctuated around 70%. Higher results of efficiency were achieved more frequently by states that joined the EU after 2004. The increase in the productivity of individual states was caused most frequently by an increase in their efficiency (catch-up effect) and less frequently by shifting the efficiency frontier (frontier effect).
Practical Implications: The following research hypothesis was decided to be laid down: developing states and those newly admitted to the European Union after 2004 have been gaining relatively more economic benefits from smaller national innovation systems (NIS) resources than developed states and the so-called states of the "old Union."
Originality/Value: The added value of the article is, first of all, a comprehensive measurement of the efficiency and productivity of European states NIS in three aspects - efficiency status, efficiency ranking, and productivity changes assessment.
... They are related to human responsibility for creating conditions for long-term social and individual well-being and harmonious relations between humans and nature (United Nations, 2015;European Commission, 2019). These challenges set out the need to introduce the concept of sustainable development that will ensure that the needs of the present generations are satisfied while the needs of future generations continue to have a chance to be met (Bak, Cheba, and Lacka, 2020). ...
Purpose: An efficient innovation system currently plays a crucial role in creating competitive prevalence, contributing to the economic growth of individual states. The innovation system is influenced by many socioeconomic factors, including in international rankings of innovativeness of economies. These classifications have some limitations. Primarily, they do not examine the efficiency, which means they do not analyze the relationship between the involved inputs and the relevant outputs generated in the innovation system. The study aims to measure the efficiency and productivity of the European state's innovation system based on the data from the international ranking of economies' innovation.
Design/Methodology/Approach: In this study, the changes in the efficiency and productivity of the innovation system coming from European states were measured using the DEA and Malmquist index methods, based on data from the European Innovation Scoreboard international ranking innovation in economies. The maximizing of economic benefits was assumed in its impact on employment and sales in a given state. The non-radial SBM model, Super SBM, and Malmquist index based on SBM were used for the research. 27 European states were subjected to the analysis in the period from 2012 to 2019.
Findings: The research results indicate that the average level of efficiency in the surveyed period fluctuated around 70%. Higher results of efficiency were achieved more frequently by states that joined the EU after 2004. The increase in the productivity of individual states was caused most frequently by an increase in their efficiency (catch-up effect) and less frequently by shifting the efficiency frontier (frontier effect).
Practical Implications: The following research hypothesis was decided to be laid down: developing states and those newly admitted to the European Union after 2004 have been gaining relatively more economic benefits from smaller national innovation systems (NIS) resources than developed states and the so-called states of the "old Union."
Originality/Value: The added value of the article is, first of all, a comprehensive measurement of the efficiency and productivity of European states NIS in three aspects - efficiency status, efficiency ranking, and productivity changes assessment.
... The presented AHP method can significantly help local governments formulate a logistics strategy, especially in terms of sustainable development (Bąk et al., 2020). Both methods make it possible to carry out a comparative analysis of cities' potentials that influence logistics strategy. ...
... However, in more advanced proposals creating new economic categories, attention is primarily paid to the way of creating relations with sustainable development (e.g. Bąk, Cheba, and Łącka, 2020;Zioło et al., 2019b). The achieved level of sustainable development is treated therefore as the basis for assessing the ability to compete sustainably or as the overarching goal, as in the definitions of a green economy. ...
The main purpose of the paper is to present proposals for the study of relationships between the dimensions of sustainable development and other areas of the EU countries’ development: innovation and competitiveness both from theoretical and practical perspective. The first part presents the assumptions adopted by the authors, and the second the 2-stage research procedure. In the first stage, the relative taxonomic measure of development was calculated, while in the next one the correlation coefficients between considered dimensions and areas were calculated. According to the authors, in the studies of relationships between sustainable development and other considered areas, one should take into account all of the particular dimensions and areas creating the research phenomena.
The purpose of the article is to identify the consequences of the coronavirus pandemic on economic growth, as well as ways to overcome its negative consequences based on innovation and digitalization of socio-economic processes. The look at pandemic of the coronavirus as at a kind of Schumpeterian "creative destroyer", implies the necessitates of expanding the interpretation of innovation not only as a result of human activity, but also the activity of the biosphere, one of the components of which are humans and viruses. The pandemic has updated the issues of planning and forecasting in modern socio-economic systems, especially indicative planning. In order to overcome the negative consequences of the coronavirus pandemic COVID-19 and other unforeseen factors of a radical nature, federal and region powers use the tools of indicative planning within region's innovation policy.
