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Impact of endogenous power factors and price marketization on agricultural energy efficiency: Based on the use of coal and oil energy in China

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  • Zhang, Ming
  • Du, Panpan
  • Jiang, Lixia

Abstract

In the face of the enormous challenge of climate change and environmental pollution, improving energy efficiency is currently the best option for achieving economic green recovery. Using generalized method of moments estimation of dynamic panel data models, we examined the effects of endogenous power factors (e.g., farmers' human capital, invention patents, and agricultural digitalization) on agricultural energy efficiency, as well as the moderating role of price marketization therein. The results show that farmers’ human capital and agricultural invention patents cannot significantly improve agricultural energy efficiency, whereas agricultural digitalization promotes it obviously. Meanwhile, price marketization has played an important role in improving agricultural energy efficiency. Moreover, the higher the price marketization level, the more significant the role of endogenous power factors in improving agricultural energy efficiency.

Suggested Citation

  • Zhang, Ming & Du, Panpan & Jiang, Lixia, 2023. "Impact of endogenous power factors and price marketization on agricultural energy efficiency: Based on the use of coal and oil energy in China," Resources Policy, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:jrpoli:v:83:y:2023:i:c:s0301420723003641
    DOI: 10.1016/j.resourpol.2023.103653
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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. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Buffington, Catherine & Foster, Lucia & Jarmin, Ron & Ohlmacher, Scott & Ohlmacher, Scott, 2017. "The management and organizational practices survey (MOPS): An overview1," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 1-26.
    4. Sun, Yunpeng & Wang, Jin & Wang, Xiuhui & Wei, Xinyu, 2023. "Achieving energy justice and common prosperity through green energy resources," Resources Policy, Elsevier, vol. 81(C).
    5. Irfan, Muhammad & Abdur Rehman, Mubeen & Liu, Xuemei & Razzaq, Asif, 2022. "Interlinkages between mineral resources, financial markets, and sustainable energy sources: Evidence from minerals exporting countries," Resources Policy, Elsevier, vol. 79(C).
    6. William D. Nordhaus, 2002. "Productivity Growth and the New Economy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 211-265.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Otrachshenko, Vladimir & Hartwell, Christopher A. & Popova, Olga, 2023. "Energy efficiency, market competition, and quality certification: Lessons from Central Asia," Energy Policy, Elsevier, vol. 177(C).
    9. Zhao, Linhai & Rasoulinezhad, Ehsan, 2023. "Role of natural resources utilization efficiency in achieving green economic recovery: Evidence from BRICS countries," Resources Policy, Elsevier, vol. 80(C).
    10. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    11. Teresa C. Fort, 2017. "Technology and Production Fragmentation: Domestic versus Foreign Sourcing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 650-687.
    12. Susana Iranzo & Giovanni Peri, 2009. "Schooling Externalities, Technology, and Productivity: Theory and Evidence from U.S. States," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 420-431, May.
    13. Ye, Xiang & Rasoulinezhad, Ehsan, 2023. "Assessment of impacts of green bonds on renewable energy utilization efficiency," Renewable Energy, Elsevier, vol. 202(C), pages 626-633.
    14. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5.
    15. Fisher-Vanden, Karen & Jefferson, Gary H. & Jingkui, Ma & Jianyi, Xu, 2006. "Technology development and energy productivity in China," Energy Economics, Elsevier, vol. 28(5-6), pages 690-705, November.
    16. Huijun Ji & Arber Hoti, 2022. "Green economy based perspective of low-carbon agriculture growth for total factor energy efficiency improvement," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 353-363, March.
    17. Mouratidis, Kostas, 2021. "How COVID-19 reshaped quality of life in cities: A synthesis and implications for urban planning," Land Use Policy, Elsevier, vol. 111(C).
    18. 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).
    19. Romer, Paul M., 1990. "Human capital and growth: Theory and evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 251-286, January.
    20. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    21. Hasan, Mohammad Maruf & Du, Fang, 2023. "Nexus between green financial development, green technological innovation and environmental regulation in China," Renewable Energy, Elsevier, vol. 204(C), pages 218-228.
    22. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    23. Cole, Matthew A. & Elliott, Robert J.R. & Wu, Shanshan, 2008. "Industrial activity and the environment in China: An industry-level analysis," China Economic Review, Elsevier, vol. 19(3), pages 393-408, September.
    24. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    1. Yang Qi & Mingyue Gao & Haoyu Wang & Huijie Ding & Jianxu Liu & Songsak Sriboonchitta, 2023. "Does Marketization Promote High-Quality Agricultural Development in China?," Sustainability, MDPI, vol. 15(12), pages 1-28, June.

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    More about this item

    Keywords

    Agricultural energy efficiency; Endogenous power factors; Price marketization; Agricultural digitalization; Moderating role;
    All these keywords.

    JEL classification:

    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts
    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

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