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Has the Inter-Regional Power Transmission Promoted Economic Development? A Quantitative Assessment in China

Author

Listed:
  • Huaibo Yang

    (Yunnan Power Grid Co., Ltd., Kunming 650011, China)

  • Chao Shi

    (Yunnan Power Grid Co., Ltd., Kunming 650011, China)

  • Jianbo Li

    (Yunnan Power Grid Co., Ltd., Kunming 650011, China)

  • Tianran Liu

    (Yunnan Power Grid Co., Ltd., Kunming 650011, China)

  • Youwei Li

    (School of Finance, Yunnan University of Finance and Economics, Kunming 650221, China)

  • Yao Wang

    (School of Finance, Yunnan University of Finance and Economics, Kunming 650221, China)

  • Yueying Yang

    (School of Finance, Yunnan University of Finance and Economics, Kunming 650221, China)

Abstract

As one of the largest energy consumers in the world, China’s total electricity consumption has increased by 416.33% during the sample years of 2001 to 2019. In 2019, the top five provinces in terms of power use were all located on the eastern coast. They have contributed 38.39% of the total consumption, causing a power shortage of 594.5 billion kWh in the provinces, while the power generation in the central and western regions have far exceeded their electricity consumption. In order to alleviate the problem of the mismatch between the power resource centers and the load centers in China, ultra-high voltage (UHV) projects, as one of the most important projects in recent years, have bridged the resource gap between the regions and have improved the allocation efficiency of the power resources. Although the cross-provincial transmission of electricity opens the pathway for the consumption of resources, the causal effects of the project on the regions along the line have not been accurately analyzed. Firstly, by constructing a quasi-natural experiment, this paper uses county-level panel data during the period of 2000 to 2019 to analyze the economic benefits that are generated by the inter-regional power transmission project. Secondly, the pathways of the economic effects of UHV are also verified. Finally, this paper also analyzes the heterogeneous effect of power-resource-rich provinces in the construction of the project. Through the pathways of local enterprise dynamics, employment level, and industrial structure, the findings prove that cross-regional power transmission has significantly enhanced the economic growth of the related regions and has played an especially positive role for the power exporting provinces. This paper provides empirical evidence for the effect of optimal resource allocation and the infrastructure development of developing countries and supplies a policy reference for developing countries’ resource allocation optimization strategies.

Suggested Citation

  • Huaibo Yang & Chao Shi & Jianbo Li & Tianran Liu & Youwei Li & Yao Wang & Yueying Yang, 2022. "Has the Inter-Regional Power Transmission Promoted Economic Development? A Quantitative Assessment in China," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13402-:d:945420
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    References listed on IDEAS

    as
    1. Fang, Tao & Fang, Debin & Yu, Bolin, 2022. "Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants," Energy Policy, Elsevier, vol. 165(C).
    2. Guangyou Zhou & Chen Liu & Sumei Luo, 2021. "Resource Allocation Effect of Green Credit Policy: Based on DID Model," Mathematics, MDPI, vol. 9(2), pages 1-18, January.
    3. Elkhan Richard Sadik-Zada, 2021. "Addressing the growth and employment effects of the extractive industries: white and black box illustrations from Kazakhstan," Post-Communist Economies, Taylor & Francis Journals, vol. 33(4), pages 402-434, May.
    4. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    5. Trinh, Hai Hong & Nguyen, Canh Phuc & Hao, Wei & Wongchoti, Udomsak, 2021. "Does stock liquidity affect bankruptcy risk? DID analysis from Vietnam," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    6. Ai, Hongshan & Guan, Mengmeng & Feng, Wei & Li, Ke, 2021. "Influence of classified coal consumption on PM2.5 pollution: Analysis based on the panel cointegration and error-correction model," Energy, Elsevier, vol. 215(PA).
    7. Zhang, Qiang & Chen, Wenying, 2020. "Modeling China’s interprovincial electricity transmission under low carbon transition," Applied Energy, Elsevier, vol. 279(C).
    8. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    9. Li, Ying & Lukszo, Zofia & Weijnen, Margot, 2016. "The impact of inter-regional transmission grid expansion on China’s power sector decarbonization," Applied Energy, Elsevier, vol. 183(C), pages 853-873.
    10. Xu, Jin-Hua & Yi, Bo-Wen & Fan, Ying, 2020. "Economic viability and regulation effects of infrastructure investments for inter-regional electricity transmission and trade in China," Energy Economics, Elsevier, vol. 91(C).
    11. Yu, Xianyu & Wu, Zemin & Wang, Qunwei & Sang, Xiuzhi & Zhou, Dequn, 2020. "Exploring the investment strategy of power enterprises under the nationwide carbon emissions trading mechanism: A scenario-based system dynamics approach," Energy Policy, Elsevier, vol. 140(C).
    12. Cong, Ren & Lo, Alex Y. & Yu, Wei, 2021. "The distribution and regional determinants of nationally financed emissions-reduction projects in China," Energy Policy, Elsevier, vol. 152(C).
    13. Fan, Haichao & Gao, Xiang & Zhang, Lina, 2021. "How China's accession to the WTO affects global welfare?," China Economic Review, Elsevier, vol. 69(C).
    14. Kahuina Miller & Tetsuro Hyodo, 2021. "Impact of the Panama Canal expansion on Latin American and Caribbean ports: difference in difference (DID) method," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-23, December.
    15. Han, Mengyao & Xiong, Jiao & Wang, Siyuan & Yang, Yu, 2020. "Chinese photovoltaic poverty alleviation: Geographic distribution, economic benefits and emission mitigation," Energy Policy, Elsevier, vol. 144(C).
    16. Pei, Wei & Chen, Yanning & Sheng, Kun & Deng, Wei & Du, Yan & Qi, Zhiping & Kong, Li, 2015. "Temporal-spatial analysis and improvement measures of Chinese power system for wind power curtailment problem," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 148-168.
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    2. Sun, Chuanwang & Min, Jialin, 2024. "Dynamic trends and regional differences of economic effects of ultra-high-voltage transmission projects," Energy Economics, Elsevier, vol. 138(C).

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