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Can resource endowment and industrial structure drive green innovation efficiency in the context of COP 26？

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  • Li, Kanyong

Abstract

COP26 pointed out that in order to cope with climate change, promote world economic recovery and achieve sustainable economic development, it needs to accelerate green transformation development, and enhance green innovation efficiency (GIE) has become the focus of attention of global countries. The study uses 30 regions as objects, selects data from 2008 to 2021, and uses the super-efficient SBM model to measure regional GIE, then spatial econometric model is constructed to study industrial structure and resource endowment impact on GIE, and draws the following conclusions: (1) China's overall GIE maintains an upward trend, but GIE is lower, and regional differences are large, with eastern highest and western lowest. (2) The rationalization of industrial structure has a suppressive effect on the GIE of both the region and the neighboring regions. The advanced industrial structure not only promotes the GIE of the region, but also allows the GIE of the neighboring regions to be enhanced. (3) Resource endowment inhibits GIE. The improvement of resource endowment in the region not only fails to help GIE in the region, but also is not conducive to promoting GIE in the associated regions. (4) Openness can promote GIE in the region and neighboring regions. The coefficient of indirect effect of GDP per capita is negative and the direct effect is positive, and the direct effect is greater than the indirect effect. Financial development does not reflect the promotion effect of GIE in the region and surrounding areas. There is no spatial spillover effect of R&D investment on GIE in the region and surrounding areas. The research in this paper has important reference value for improving the efficiency of regional green innovation in China.

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  • Li, Kanyong, 2023. "Can resource endowment and industrial structure drive green innovation efficiency in the context of COP 26？," Resources Policy, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723002106
    DOI: 10.1016/j.resourpol.2023.103502
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    References listed on IDEAS

    as
    1. Su, Yi & Fan, Qi-ming, 2022. "Renewable energy technology innovation, industrial structure upgrading and green development from the perspective of China's provinces," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Wilson, Kenneth & Vellinga, Nico, 2022. "Natural resource dependence and innovation efficiency reconsidered," Resources Policy, Elsevier, vol. 77(C).
    3. Habiba, Umme & Xinbang, Cao & Anwar, Ahsan, 2022. "Do green technology innovations, financial development, and renewable energy use help to curb carbon emissions?," Renewable Energy, Elsevier, vol. 193(C), pages 1082-1093.
    4. Sayantan Khanra & Puneet Kaur & Rojers P Joseph & Ashish Malik & Amandeep Dhir, 2022. "A resource‐based view of green innovation as a strategic firm resource: Present status and future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1395-1413, May.
    5. Sanjay Kumar Singh & Manlio Del Giudice & Charbel Jose Chiappetta Jabbour & Hengky Latan & Amrik Singh Sohal, 2022. "Stakeholder pressure, green innovation, and performance in small and medium‐sized enterprises: The role of green dynamic capabilities," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 500-514, January.
    6. Beise, Marian, 2004. "Lead markets: country-specific drivers of the global diffusion of innovations," Research Policy, Elsevier, vol. 33(6-7), pages 997-1018, September.
    7. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    8. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    9. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    10. Yu-Shan Chen & Shyh-Bao Lai & Chao-Tung Wen, 2006. "The Influence of Green Innovation Performance on Corporate Advantage in Taiwan," Journal of Business Ethics, Springer, vol. 67(4), pages 331-339, September.
    11. Najabat Ali & Khamphe Phoungthong & Kuaanan Techato & Waheed Ali & Shah Abbas & Joshuva Arockia Dhanraj & Anwar Khan, 2022. "FDI, Green Innovation and Environmental Quality Nexus: New Insights from BRICS Economies," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    12. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    13. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    14. Anser, Muhammad Khalid & Yousaf, Zahid & Zaman, Khalid & Nassani, Abdelmohsen A. & Alotaibi, Saad M. & Jambari, Hanifah & Khan, Aqeel & Kabbani, Ahmad, 2020. "Determination of resource curse hypothesis in mediation of financial development and clean energy sources: Go-for-green resource policies," Resources Policy, Elsevier, vol. 66(C).
    15. Hasan Evrim Arici & Muzaffer Uysal, 2022. "Leadership, green innovation, and green creativity: a systematic review," The Service Industries Journal, Taylor & Francis Journals, vol. 42(5-6), pages 280-320, April.
    16. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    18. Oluwaseyi Musibau, Hammed & Olawale Shittu, Waliu & Yanotti, Maria, 2022. "Natural resources endowment: What more does West Africa need in order to grow?," Resources Policy, Elsevier, vol. 77(C).
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    1. Yipeng Zhang, 2023. "The Sustainability of Regional Innovation in China: Insights from Regional Innovation Values and Their Spatial Distribution," Sustainability, MDPI, vol. 15(13), pages 1-42, June.

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