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Digital Finance, Industrial Structure, and Total Factor Energy Efficiency: A Study on Moderated Mediation Model with Resource Dependence

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  • Xiaoheng Zhang

    (School of Economic and Management, Anhui University of Science and Technology, Huainan 232001, China
    Mining Enterprise Safety Management of Humanities and Social Science Key Research Base in Anhui Province, Huainan 232001, China)

  • Keyu Bao

    (School of Economic and Management, Anhui University of Science and Technology, Huainan 232001, China)

  • Zebin Liu

    (School of Finance and Mathematics, Huainan Normal University, Huainan 232038, China)

  • Li Yang

    (School of Economic and Management, Anhui University of Science and Technology, Huainan 232001, China)

Abstract

China’s main energy structure is dominated by coal. The burning of coal is a major source of greenhouse gas emissions, making China the largest carbon emitter. Facing double pressure on ecological protection and economic development, improving energy efficiency is more practical than reducing coal utilization. In this context, digital finance can be a vital engine that supports a transition to a low-carbon economy. Based on panel data for 2011 to 2019 of 30 provinces in China, this study probes the effect of digital finance on the total factor energy efficiency and constructs a moderated mediating effect model to analyze the mechanism of action. The results show that: (1) digital finance is able to improve the total factor energy efficiency, (2) the industrial structure plays a mediating effect, which is regionally heterogeneous, and (3) the above transmission path is affected by the degree of regional resource dependence. With the deepening of resource dependence, the role of digital finance in driving energy efficiency through the industrial structure is enhanced. This research demonstrates the effectiveness of digital finance in energy efficiency improvement and develops ideas for ecological governance and sustainable development.

Suggested Citation

  • Xiaoheng Zhang & Keyu Bao & Zebin Liu & Li Yang, 2022. "Digital Finance, Industrial Structure, and Total Factor Energy Efficiency: A Study on Moderated Mediation Model with Resource Dependence," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14718-:d:966790
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    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Sunaga, Miho, 2017. "Endogenous growth cycles with financial intermediaries and entrepreneurial innovation," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 191-206.
    3. Sethi, Pradeepta & Chakrabarti, Debkumar & Bhattacharjee, Sankalpa, 2020. "Globalization, financial development and economic growth: Perils on the environmental sustainability of an emerging economy," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 520-535.
    4. Bampatsou, Christina & Papadopoulos, Savas & Zervas, Efthimios, 2013. "Technical efficiency of economic systems of EU-15 countries based on energy consumption," Energy Policy, Elsevier, vol. 55(C), pages 426-434.
    5. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    6. Yingying Zhou & Yaru Xu & Chuanzhe Liu & Zhuoqing Fang & Xinyue Fu & Mingzhao He, 2019. "The Threshold Effect of China’s Financial Development on Green Total Factor Productivity," Sustainability, MDPI, vol. 11(14), pages 1-23, July.
    7. 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.
    8. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    9. Zhao, Jing & Zhao, Ziru & Zhang, Huan, 2021. "The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 93(C).
    10. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(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. Peterson K. Ozili, 2018. "Impact of digital finance on financial inclusion and stability," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(4), pages 329-340, December.
    13. Cristina Chueca Vergara & Luis Ferruz Agudo, 2021. "Fintech and Sustainability: Do They Affect Each Other?," Sustainability, MDPI, vol. 13(13), pages 1-19, June.
    14. Ozili, Peterson Kitakogelu, 2018. "Impact of Digital Finance on Financial Inclusion and Stability," MPRA Paper 84771, University Library of Munich, Germany.
    15. Wang, Qiang & Zhang, Chen & Li, Rongrong, 2022. "Towards carbon neutrality by improving carbon efficiency - A system-GMM dynamic panel analysis for 131 countries’ carbon efficiency," Energy, Elsevier, vol. 258(C).
    16. Jian Han & Yanzhi Shen, 2015. "Financial Development and Total Factor Productivity Growth: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(S1), pages 261-274, January.
    17. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    18. 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.
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