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Fintech's impact on green productivity in China: Role of fossil fuel energy structure, environmental regulations, government expenditure, and R&D investment

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  • Fan, Min
  • Zhou, Yun
  • Lu, Zhixi
  • Gao, Sen

Abstract

This study applies the data envelopment analysis to estimate green total factor productivity (GTFP) in 30 Chinese regions from 2011 to 2020. It examines how it is associated with Fintech and its underlying mechanism, especially considering the role of fossil fuel consumption (energy structure). The empirical results show that Fintech exerts a promoting effect on GTFP. However, its impact is conditional, where a single threshold effect of environmental regulation is significant, and the double threshold effects of R&D investment and government expenditure are significant. The positive impact of Fintech on GTFP is stronger in the non-Yangtze River Economic Belt than in the Yangtze River Economic Belt, and it is more significant in the eastern districts in China, while it is not pronounced in the central, the western and the northeast parts of China. The mediation results documented that Fintech can boost GTFP through energy structure optimization. Our research provides theoretical support and China’ s evidence on green transformation and economy upgrading with heterogeneous characteristics and Fintech.

Suggested Citation

  • Fan, Min & Zhou, Yun & Lu, Zhixi & Gao, Sen, 2024. "Fintech's impact on green productivity in China: Role of fossil fuel energy structure, environmental regulations, government expenditure, and R&D investment," Resources Policy, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:jrpoli:v:91:y:2024:i:c:s0301420724002241
    DOI: 10.1016/j.resourpol.2024.104857
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    1. Liudmila Zavolokina & Mateusz Dolata & Gerhard Schwabe, 2016. "The FinTech phenomenon: antecedents of financial innovation perceived by the popular press," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-16, December.
    2. Chang, Lei & Taghizadeh-Hesary, Farhad & Mohsin, Muhammad, 2023. "Role of artificial intelligence on green economic development: Joint determinates of natural resources and green total factor productivity," Resources Policy, Elsevier, vol. 82(C).
    3. Tan, Zhuohong & Wang, Handi & Hong, Yunzhe, 2023. "Does bank FinTech improve corporate innovation?," Finance Research Letters, Elsevier, vol. 55(PA).
    4. Imbruno, Michele & Ketterer, Tobias D., 2018. "Energy efficiency gains from importing intermediate inputs: Firm-level evidence from Indonesia," Journal of Development Economics, Elsevier, vol. 135(C), pages 117-141.
    5. Wentao Hu & Xiaoxiao Li, 2023. "Financial Technology Development and Green Total Factor Productivity," Sustainability, MDPI, vol. 15(13), pages 1-28, June.
    6. Lu, Yin & Tian, Tian & Ge, Chen, 2023. "Asymmetric effects of renewable energy, fintech development, natural resources, and environmental regulations on the climate change in the post-covid era," Resources Policy, Elsevier, vol. 85(PB).
    7. Herui Cui & Haoran Wang & Qiaozhi Zhao, 2019. "Which factors stimulate industrial green total factor productivity growth rate in China? An industrial aspect," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 9(3), pages 505-518, June.
    8. Désiré Kanga & Christine Oughton & Laurence Harris & Victor Murinde, 2022. "The diffusion of fintech, financial inclusion and income per capita," The European Journal of Finance, Taylor & Francis Journals, vol. 28(1), pages 108-136, January.
    9. Haoran Yang & Yaoben Lin & Yang Hu & Xueqing Liu & Qun Wu, 2022. "Influence Mechanism of Industrial Agglomeration and Technological Innovation on Land Granting on Green Total Factor Productivity," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    10. Koutroumpis, Pantelis, 2019. "The economic impact of broadband: Evidence from OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    11. Shahbaz, Muhammad & Kumar Tiwari, Aviral & Nasir, Muhammad, 2013. "The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa," Energy Policy, Elsevier, vol. 61(C), pages 1452-1459.
    12. Yuanying Chi & Yangmei Xu & Xu Wang & Feng Jin & Jialin Li, 2021. "A Win–Win Scenario for Agricultural Green Development and Farmers’ Agricultural Income: An Empirical Analysis Based on the EKC Hypothesis," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    13. Juan Tang & Fangming Qin, 2022. "Analyzing the impact of local government competition on green total factor productivity from the factor market distortion perspective: based on the three stage DEA model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14298-14326, December.
    14. Tan, Junlan & Su, Xiang & Wang, Rong, 2023. "The impact of natural resource dependence and green finance on green economic growth in the context of COP26," Resources Policy, Elsevier, vol. 81(C).
    15. Polzin, Friedemann & Sanders, Mark, 2020. "How to finance the transition to low-carbon energy in Europe?," Energy Policy, Elsevier, vol. 147(C).
    16. Huaping Zhang & Yue Dong, 2022. "Measurement and Spatial Correlations of Green Total Factor Productivities of Chinese Provinces," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    17. Selin Sayek & Laura Alfaro & Areendam Chanda & Sebnem Kalemli-Ozcan, 2003. "FDI Spillovers, Financial Markets, and Economic Development," IMF Working Papers 2003/186, International Monetary Fund.
    18. Hailu, Atakelty & Veeman, Terrence S., 2000. "Environmentally Sensitive Productivity Analysis of the Canadian Pulp and Paper Industry, 1959-1994: An Input Distance Function Approach," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 251-274, November.
    19. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    20. Xiaoli Hao & Xinhui Wang & Haitao Wu & Yu Hao, 2023. "Path to sustainable development: Does digital economy matter in manufacturing green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 360-378, February.
    21. Vivian W. Fang & Xuan Tian & Sheri Tice, 2014. "Does Stock Liquidity Enhance or Impede Firm Innovation?," Journal of Finance, American Finance Association, vol. 69(5), pages 2085-2125, October.
    22. Hawdon, David & Pearson, Peter, 1995. "Input-output simulations of energy, environment, economy interactions in the UK," Energy Economics, Elsevier, vol. 17(1), pages 73-86, January.
    23. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    24. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    25. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    26. 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.
    27. Yaozu Xue, 2022. "Evaluation analysis on industrial green total factor productivity and energy transition policy in resource-based region," Energy & Environment, , vol. 33(3), pages 419-434, May.
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