4.7 Article

Exploring the spatial pattern of renewable energy technology innovation: evidence from China

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 29, 期 39, 页码 59076-59093

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-19841-4

关键词

Renewable energy technology innovation; Spatial pattern; Spatial spillover; Spatial Durbin model

资金

  1. National Natural Science Foundation of China [71974083, 71904067]
  2. Humanities and Social Science Fund of the Ministry of Education of China [19YJA790024]
  3. Jiangsu Social Science Fund [18EYB014]
  4. Jiangsu Provincial Department of Education [2018SJZDI089]
  5. Research Support Project for Doctoral Degree Teachers of Jiangsu Normal University of China [18XWRS017]

向作者/读者索取更多资源

Based on spatial regression methods, this study finds that human capital, enterprise R&D intensity, and research institution R&D intensity have a significant driving effect on local renewable energy technology innovation (RETI) in China. The study also highlights the strong spatial spillover effect of enterprise R&D intensity on surrounding provinces' RETI. Effective policies should be formulated to break the regional division in human capital investment and promote the optimized allocation of talents to better promote RETI in China.
Considering the obvious regional differences in China, research on the drivers for renewable energy technology innovation (RETI) needs to fully consider the spatial factors. Based on the expanded function of knowledge production, which includes the human capital, institutional quality, and industrial scale, and using panel data from 29 provinces during 2006-2017, this study examines the factors promoting RETI by employing spatial regression methods. The results show that RETI presents moderate spatial agglomeration and spatial heterogeneity. Human capital, enterprise R&D intensity, and research institution R&D intensity have a significant driving effect on the local RETI, and the university R&D intensity, institutional quality, and industrial scale have no significant contribution. Human capital is the most important factor driving the local RETI, and enterprise R&D intensity has the strongest spatial spillover effect on the RETI of the surrounding provinces. In addition, the R&D intensity of enterprises and research institutions can enhance the local RETI and also significantly promote RETI in surrounding provinces through the spatial spillover effect. In contrast, human capital has played a significant driving role in the local RETI, whereas its spatial spillover effect on the surrounding provinces is not obvious. Therefore, the direct and spatial spillover effects of enterprise R&D intensity and research institution R&D intensity should be fully considered in policy making. In addition, effective policies should be formulated to break the block division of human capital investment and to promote the optimized allocation of talented people in order to better promote RETI in China.

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