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Research on the impact of green finance and abundance of natural resources on China's regional eco-efficiency

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Listed:
  • Wang, Rong
  • Zhao, Xing
  • Zhang, Ling

Abstract

This article uses the Super-efficiency DEA mothod to calculate the regional ecological efficiency, and selects a Tobit model to verify the impact of green finance and natural resource abundance on Chinese regional ecological efficiency. Results as follows: (1) The ecological efficiency of the eastern region is highest, and western region is lowest. Most of the low-efficiency areas are concentrated in the west. Then the ecological efficiency of most areas in Chian has shown an increasing trend. (2) From the perspective of explanatory variables, there is a negative correlation between the overall national green finance and eco-efficiency, which is manifested in a non-linear “U”-shaped characteristic; green finance and eco-efficiency in the central and western regions have negative correlation and “U”-shaped characteristic of non-linear relationship, but the east of China does not passed the significance test. (3) There is an inverted U-shaped relationship between the country's overall resource abundance and ecological efficiency. And it is not statistically significant in the eastern region, but it shows a significant inverted U-shaped relationship in the central and west of China. (4) The impact of FDI on China's regional eco-efficiency is generally positive. FDI in the central and western regions has negative correlation with eco-efficiency, but FDI in the eastern region is positively related to eco-efficiency; there are all negatively correlated in whole countey and regions between industrial structure and eco-efficiency; the level of regional economic development is generally positively related to regional eco-efficiency, and in the eastern region's eco-efficiency is positive, and the impact on the other two regions is negative.

Suggested Citation

  • Wang, Rong & Zhao, Xing & Zhang, Ling, 2022. "Research on the impact of green finance and abundance of natural resources on China's regional eco-efficiency," Resources Policy, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000307
    DOI: 10.1016/j.resourpol.2022.102579
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    References listed on IDEAS

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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Wang, Rong & Tan, Junlan & Yao, Shuangliang, 2021. "Are natural resources a blessing or a curse for economic development? The importance of energy innovations," Resources Policy, Elsevier, vol. 72(C).
    3. Mr. Carlos A Leite & Jens Weidmann, 1999. "Does Mother Nature Corrupt? Natural Resources, Corruption, and Economic Growth," IMF Working Papers 1999/085, International Monetary Fund.
    4. R. M. Solow, 1974. "Intergenerational Equity and Exhaustible Resources," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(5), pages 29-45.
    5. Mei Wen & Stephen P. King, 2006. "Push Or Pull? The Relationship Between Development, Trade And Primary Resource Endowment," World Scientific Book Chapters, in: Christis Tombazos & Xiaokai Yang (ed.), Inframarginal Contributions To Development Economics, chapter 20, pages 497-529, World Scientific Publishing Co. Pte. Ltd..
    6. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    7. Brunnschweiler, Christa N., 2008. "Cursing the Blessings? Natural Resource Abundance, Institutions, and Economic Growth," World Development, Elsevier, vol. 36(3), pages 399-419, March.
    8. Ning Ding & Barry C. Field, 2005. "Natural Resource Abundance and Economic Growths," Land Economics, University of Wisconsin Press, vol. 81(4).
    9. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    10. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    11. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    12. Bert Scholtens, 2006. "Finance as a Driver of Corporate Social Responsibility," Journal of Business Ethics, Springer, vol. 68(1), pages 19-33, September.
    13. Michael Wara, 2007. "Is the global carbon market working?," Nature, Nature, vol. 445(7128), pages 595-596, February.
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