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Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model

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  • Guo, Qiu-tong
  • Dong, Yong
  • Feng, Biao
  • Zhang, Hao

Abstract

The relationship between green finance and energy efficiency is of great significance for China to solve the environmental pollution problems caused by excessive energy consumption and high carbon emissions. In this paper, the method of non-radial distance function (NDDF-DEA) is adopted to estimate the energy efficiency for 30 provinces in China. In addition, the spatial Durbin model is established based on provincial panel data from 2005 to 2019 in China to investigate the mechanisms for the impact of green finance on energy efficiency. Results show that with the characteristic of spatial dependence, the energy efficiency in China decreases with time. The green finance has spatial spillover effects, and can improve energy efficiencies in local and neighboring areas. In addition, Internet development and environmental regulation are important channels for green finance to further promote energy efficiency. Conclusions also indicate that the spatial spillover effect is positive in the eastern and western regions and negative in the central regions, proving the regional heterogeneity of spatial spillover effect for green finance. The empirical evidence and policy recommendations are provided in this paper to more rationally enhance the promotion impact of green finance on energy efficiency.

Suggested Citation

  • Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
  • Handle: RePEc:eee:enepol:v:177:y:2023:i:c:s0301421523001088
    DOI: 10.1016/j.enpol.2023.113523
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    References listed on IDEAS

    as
    1. Mukherjee, Kankana, 2008. "Energy use efficiency in the Indian manufacturing sector: An interstate analysis," Energy Policy, Elsevier, vol. 36(2), pages 662-672, February.
    2. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    3. Peng, Benhong & Wang, Yuanyuan & Wei, Guo, 2020. "Energy eco-efficiency: Is there any spatial correlation between different regions?," Energy Policy, Elsevier, vol. 140(C).
    4. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    5. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    6. Zhu, Lin & Wang, Yong & Shang, Peipei & Qi, Lin & Yang, Guangchun & Wang, Ying, 2019. "Improvement path, the improvement potential and the dynamic evolution of regional energy efficiency in China: Based on an improved nonradial multidirectional efficiency analysis," Energy Policy, Elsevier, vol. 133(C).
    7. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
    8. Goss, Allen & Roberts, Gordon S., 2011. "The impact of corporate social responsibility on the cost of bank loans," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1794-1810, July.
    9. Habiba, Umme & Xinbang, Cao, 2023. "The contribution of different aspects of financial development to renewable energy consumption in E7 countries: The transition to a sustainable future," Renewable Energy, Elsevier, vol. 203(C), pages 703-714.
    10. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    11. Shuanglian Chen & Gaoke Liao & Benjamin M. Drakeford & Pierre Failler, 2019. "The Non-Linear Effect of Financial Support on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    12. Ahmed, Khalid, 2017. "Revisiting the role of financial development for energy-growth-trade nexus in BRICS economies," Energy, Elsevier, vol. 128(C), pages 487-495.
    13. Apergis, Nicholas & Aye, Goodness C. & Barros, Carlos Pestana & Gupta, Rangan & Wanke, Peter, 2015. "Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs," Energy Economics, Elsevier, vol. 51(C), pages 45-53.
    14. He, Lingyun & Liu, Rongyan & Zhong, Zhangqi & Wang, Deqing & Xia, Yufei, 2019. "Can green financial development promote renewable energy investment efficiency? A consideration of bank credit," Renewable Energy, Elsevier, vol. 143(C), pages 974-984.
    15. Zakari, Abdulrasheed & Khan, Irfan & Tan, Duojiao & Alvarado, Rafael & Dagar, Vishal, 2022. "Energy efficiency and sustainable development goals (SDGs)," Energy, Elsevier, vol. 239(PE).
    16. Huo, Da & Zhang, Xiaotao & Meng, Shuang & Wu, Gang & Li, Junhang & Di, Ruoqi, 2022. "Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain," Energy Economics, Elsevier, vol. 116(C).
    17. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    18. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).
    19. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    20. Montalbano, P. & Nenci, S., 2019. "Energy efficiency, productivity and exporting: Firm-level evidence in Latin America," Energy Economics, Elsevier, vol. 79(C), pages 97-110.
    21. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    22. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Provincial energy efficiency of China quantified by three-stage data envelopment analysis," Energy, Elsevier, vol. 166(C), pages 96-107.
    23. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    24. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
    25. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    26. Gaies, Brahim & Kaabia, Olfa & Ayadi, Rim & Guesmi, Khaled & Abid, Ilyes, 2019. "Financial development and energy consumption: Is the MENA region different?," Energy Policy, Elsevier, vol. 135(C).
    27. Reboredo, Juan C., 2018. "Green bond and financial markets: Co-movement, diversification and price spillover effects," Energy Economics, Elsevier, vol. 74(C), pages 38-50.
    28. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    29. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    30. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    31. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    32. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    33. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    34. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    35. Pan, Xiongfeng & Guo, Shucen & Han, Cuicui & Wang, Mengyang & Song, Jinbo & Liao, Xianchun, 2020. "Influence of FDI quality on energy efficiency in China based on seemingly unrelated regression method," Energy, Elsevier, vol. 192(C).
    36. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    37. Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki, 2019. "The way to induce private participation in green finance and investment," Finance Research Letters, Elsevier, vol. 31(C), pages 98-103.
    38. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    39. Miao, Zhuang & Baležentis, Tomas & Shao, Shuai & Chang, Dongfeng, 2019. "Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance," Energy Economics, Elsevier, vol. 83(C), pages 501-514.
    40. Ouyang, Yaofu & Li, Peng, 2018. "On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach," Energy Economics, Elsevier, vol. 71(C), pages 238-252.
    41. Shah, Wasi Ul Hassan & Hao, Gang & Yan, Hong & Yasmeen, Rizwana & Padda, Ihtsham Ul Haq & Ullah, Assad, 2022. "The impact of trade, financial development and government integrity on energy efficiency: An analysis from G7-Countries," Energy, Elsevier, vol. 255(C).
    42. Chen, Zhongfei & Huang, Wanjing & Zheng, Xian, 2019. "The decline in energy intensity: Does financial development matter?," Energy Policy, Elsevier, vol. 134(C).
    43. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    44. Wang, Zilong & Wang, Xinbin, 2022. "Research on the impact of green finance on energy efficiency in different regions of China based on the DEA-Tobit model," Resources Policy, Elsevier, vol. 77(C).
    45. Yan, Bin & Wang, Feng & Dong, Mingru & Ren, Jing & Liu, Juan & Shan, Jing, 2022. "How do financial spatial structure and economic agglomeration affect carbon emission intensity? Theory extension and evidence from China," Economic Modelling, Elsevier, vol. 108(C).
    46. Bris, Myriam & Pawlak, Jacek & Polak, John W., 2017. "How is ICT use linked to household transport expenditure? A cross-national macro analysis of the influence of home broadband access," Journal of Transport Geography, Elsevier, vol. 60(C), pages 231-242.
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