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Fiscal decentralization and rural resource utilization efficiency: Evidence from quasi-natural experiment in China

Author

Listed:
  • Gao, Yajuan
  • Zhang, Congqing
  • Wang, Yilin
  • Wang, Shuaihao
  • Zou, Yunjin
  • Gao, Junhong
  • Wang, Zeyu

Abstract

The depletion of resources has triggered numerous climate and health challenges, making fiscal policy responses a primary concern for governments. The existing literature places less emphasis on sub-provincial decentralization plans and more on fiscal decentralization “between the central government and the local government.” This study investigates the influence of fiscal Digitalization policies on resource utilization efficiency (RUE) from China's “province directly supervising counties” reform based on 34,251 observations from 2060 counties from 2000 to 2017, using the difference-in-difference (DID) model. The research demonstrates that the execution of fiscal Digitalization policy benefits greatly the RUE. This effect is further enhanced by the digitisation of the regional economy and the presence of an advanced industrial structure, which act as positive moderating factors. Additionally, the fiscal Digitalization policy has a more significant effect on less developed regions, regions with high fiscal freedom, and Western Region of China. This paper provides empirical evidence that fiscal Digitalization policy at the sub-provincial level optimizes the RUE and provides ideas for fiscal reforms to advance global sustainable development.

Suggested Citation

  • Gao, Yajuan & Zhang, Congqing & Wang, Yilin & Wang, Shuaihao & Zou, Yunjin & Gao, Junhong & Wang, Zeyu, 2023. "Fiscal decentralization and rural resource utilization efficiency: Evidence from quasi-natural experiment in China," Resources Policy, Elsevier, vol. 87(PB).
    • Handle: RePEc:eee:jrpoli:v:87:y:2023:i:pb:s0301420723010310
    DOI: 10.1016/j.resourpol.2023.104320
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    as
    1. Nathaniel, Solomon Prince & Yalçiner, Kürşat & Bekun, Festus Victor, 2021. "Assessing the environmental sustainability corridor: Linking natural resources, renewable energy, human capital, and ecological footprint in BRICS," Resources Policy, Elsevier, vol. 70(C).
    2. Oei, Pao-Yu & Brauers, Hanna & Herpich, Philipp, 2020. "Lessons from Germany’s hard coal mining phase-out: policies and transition from 1950 to 2018," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(8), pages 963-979.
    3. Li, Chengming & Zhang, Xinyi & Dong, Xiaoqi & Yan, Qiangming & Zeng, Liangen & Wang, Zeyu, 2023. "The impact of smart cities on entrepreneurial activity: Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 81(C).
    4. Liu, Zhen & Li, Ruotong & Cai, Renjie & Lan, Jing, 2023. "A nexus of income inequality and natural resource utilization efficiency: Effect on the road to green economic recovery," Resources Policy, Elsevier, vol. 85(PA).
    5. Hu, Hui & Qi, Shaozhou & Chen, Yuanzhi, 2023. "Using green technology for a better tomorrow: How enterprises and government utilize the carbon trading system and incentive policies," China Economic Review, Elsevier, vol. 78(C).
    6. Qiao, Baoyun & Martinez-Vazquez, Jorge & Xu, Yongsheng, 2008. "The tradeoff between growth and equity in decentralization policy: China's experience," Journal of Development Economics, Elsevier, vol. 86(1), pages 112-128, April.
    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. Oasis Kodila-Tedika, 2021. "Natural resource governance: does social media matter?," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(1), pages 127-140, April.
    9. Zhang, Jianhua & Liu, Yushan & Zhang, Weihua & Ma, Xinyuan, 2023. "Role of green technologies in enhancing the efficiency of natural resources," Resources Policy, Elsevier, vol. 83(C).
    10. Xu, Li & Tan, Junlan, 2020. "Financial development, industrial structure and natural resource utilization efficiency in China," Resources Policy, Elsevier, vol. 66(C).
    11. Pao-Yu Oei & Hanna Brauers & Philipp Herpich, 2020. "Lessons from Germany’s hard coal mining phase-out: policies and transition from 1950 to 2018," Climate Policy, Taylor & Francis Journals, vol. 20(8), pages 963-979, September.
    12. Wen, Jun & Mughal, Nafeesa & Kashif, Maryam & Jain, Vipin & Ramos Meza, Carlos Samuel & Cong, Phan The, 2022. "Volatility in natural resources prices and economic performance: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 75(C).
    13. Jie Zhang & Yinxiao Qu & Yun Zhang & Xiuzhen Li & Xiao Miao, 2019. "Effects of FDI on the Efficiency of Government Expenditure on Environmental Protection Under Fiscal Decentralization: A Spatial Econometric Analysis for China," IJERPH, MDPI, vol. 16(14), pages 1-19, July.
    14. Li, Guo & Zakari, Abdulrasheed & Tawiah, Vincent, 2020. "Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives," Resources Policy, Elsevier, vol. 68(C).
    15. Zhang, Yonggang & Dilanchiev, Azer, 2022. "Economic recovery, industrial structure and natural resource utilization efficiency in China: Effect on green economic recovery," Resources Policy, Elsevier, vol. 79(C).
    16. Chien, FengSheng & Chau, Ka Yin & Sadiq, Muhammad & Hsu, Ching-Chi, 2022. "The impact of economic and non-economic determinants on the natural resources commodity prices volatility in China," Resources Policy, Elsevier, vol. 78(C).
    17. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    18. Sun, J. W., 2005. "The decrease of CO2 emission intensity is decarbonization at national and global levels," Energy Policy, Elsevier, vol. 33(8), pages 975-978, May.
    19. Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
    20. Wang, Zeyu & Deng, Yue & Zhou, Shouan & Wu, Zhongbang, 2023. "Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms," Resources Policy, Elsevier, vol. 80(C).
    21. Zakari, Abdulrasheed & Li, Guo & Khan, Irfan & Jindal, Abhinav & Tawiah, Vincent & Alvarado, Rafael, 2022. "Are abundant energy resources and Chinese business a solution to environmental prosperity in Africa?," Energy Policy, Elsevier, vol. 163(C).
    22. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
    23. Benjamin K. Sovacool & Peter Newell & Sanya Carley & Jessica Fanzo, 2022. "Equity, technological innovation and sustainable behaviour in a low-carbon future," Nature Human Behaviour, Nature, vol. 6(3), pages 326-337, March.
    24. Wang, Zeyu & Zhang, Shuting & Zhao, Yuanyuan & Chen, Chuan & Dong, Xiufang, 2023. "Risk prediction and credibility detection of network public opinion using blockchain technology," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    25. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
    26. Sun, Gebing & Li, Guozhi & Dilanchiev, Azer & Kazimova, Asli, 2023. "Promotion of green financing: Role of renewable energy and energy transition in China," Renewable Energy, Elsevier, vol. 210(C), pages 769-775.
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    More about this item

    Keywords

    Sub-provincial fiscal decentralization; Resource utilization efficiency; Quasi-natural experiment;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O23 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Fiscal and Monetary Policy in Development
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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