Investigating possibility of achieving sustainable development goals through renewable energy, technological innovation, and entrepreneur: a study of global best practice policies

Measurement and spatiotemporal characteristics of China's green finance

To study the extent of green finance development in China, this article constructs a green finance index system and employs the entropy value method to measure China's green finance by using a yearly provincial panel data from 2001 to 2020. The Thiel and Moran indices are then used to systematically analyze the temporal and spatial distribution of China's regional green finance. The findings are summarized as follows. Firstly, the overall green finance index in China experiences an upward trend. The development of green finance in the eastern region is superior to that in other regions in terms of absolute value and growth rate. Moreover, the differences in China's green finance index have shown an increasing trend over the last two decades, which is mostly contributed by the intra-regional differences. Finally, the inter-regional distribution of green finance index demonstrates that green finance development has a spatial spillover effect.

Bibliometric Analysis of Granger Causality Studies

Granger causality provides a framework that uses predictability to identify causation between time series variables. This is important to policymakers for effective policy management and recommendations. Granger causality is recognized as the primary advance on the causation problem. The objective of this paper is to conduct a bibliometric analysis of Granger causality publications indexed in the Web of Science database. Harzing's Publish or Perish and VOSviewer were used for performance analysis and science mapping. The first paper indexed was published in 1981 and there has been an upward trend in the annual publication of Granger causality studies which are shifting towards the areas of environmental science, energy, and economics. Most of the publications are articles and proceeding papers under the areas of business economics, environmental science ecology, and neurosciences/neurology. China has the highest number of publications while the United States has the highest number of citations. England has the highest citation impact. This paper also constructed country co-authorship, co-analysis of cited references, cited sources, and cited authors, keyword co-occurrence, and keyword overlay visualization maps.

Investigating the nexus between critical success factors, supportive leadership, and entrepreneurial success: evidence from the renewable energy projects

This study focuses on entrepreneurs associated with construction-based renewable energy projects located in Pakistan. The objectives of this research to identify the critical factors that affect the success of entrepreneurs. We used three dimensions of critical success factors such as government support (GS), access to finance (AF), and personality traits (PTs). This study consists of four important direct and indirect relationships. First, we examine the direct relationship between critical success factors (CSFs) and the success of entrepreneurs. Second, we investigate the direct relationship between CSFs and supportive leadership (SL). Third, we also examine the indirect relationship of supportive leadership between CSFs and the success of entrepreneurs. Fourth, we test the direct relationship between supportive leadership and the success of entrepreneurs. In this study, we collected data from 255 entrepreneurs using convenience sampling techniques associated with construction-based renewable energy projects in Pakistan. A five-point Likert scale is used for data collection through a research questionnaire. The direct and indirect path analyses were tested using structural equation modeling (SEM). The results of this study conclude. First, in the direct relationship, all the critical success factors, i.e., personality traits, access to finance, and government support, positively and significantly impact entrepreneurs' success. Second, the results confirmed that all critical success factors positively correlate with supportive leadership. Third, the results also revealed that supportive leadership significantly and positively mediates the relationship between the three CSFs and the success of entrepreneurs. Fourth, the outcomes also demonstrate that supportive leadership positively affects the success of entrepreneurs. The outcomes of this study also suggest some theoretical and practical suggestions for academicians and entrepreneurial personnel.

Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin of China

Improving green total factor productivity (GTFP) is the inherent requirement for practicing the philosophy of green development and achieving regional high-quality development. Based on panel data for 68 prefectural-level-and-above cities in the Yellow River Basin of China from 2006 to 2019, we measured their GTFPs and degrees of productive-services agglomeration using the non-radial directional distance function and industrial agglomeration index formulas, respectively. Furthermore, we empirically investigated the interactive relationship between agglomeration of productive services, industrial-structure upgrading, and GTFP using the dual fixed-effects model, the mediating-effect model, and the moderating-effect model. The findings were as follows. (1) Both specialized and diversified agglomeration of productive services significantly improved the GTFPs of cities in the Yellow River Basin, and the promoting effect of specialized agglomeration was stronger than that of diversified agglomeration. (2) The diversified agglomeration of productive services (hereinafter referred to as diversified agglomeration) made a significant contribution to GTFP in all sample cities of the Yellow River Basin, while the specialized agglomeration of productive services (hereinafter referred to as specialized agglomeration) only significantly improved GTFP in the upstream cities and had no significant effect on the midstream and downstream cities. (3) When examined according to city size, specialized agglomeration was found to have a positive impact on the GTFPs of small and medium-sized cities in the Yellow River Basin but a non-significant negative impact on large cities, while the effect of diversified agglomeration on GTFP was found not to be significant. (4) Industrial-structure upgrading played partially mediating and negative moderating roles in the process of specialized agglomeration affecting the GTFPs of cities in the Yellow River Basin, but it did not become a mediating channel and moderating factor that influenced diversified agglomeration in relation to GTFP.