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A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach

Author

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  • Yao Wang

    (Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China
    School of Finance, Yunnan University of Finance and Economics, Kunming 650221, China)

  • Qiang Yang

    (Kunming Power Exchange Center Co., Ltd., Kunming 650011, China)

  • Xuenan Wu

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

  • Ruichen Wang

    (Kunming Power Exchange Center Co., Ltd., Kunming 650011, China)

  • Tilei Gao

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

  • Yuntong Liu

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

Abstract

China is currently undergoing a transition towards high-quality economic development, and the industrial structure is being optimized. However, there are still regional imbalances in economic development and energy consumption. Therefore, it is necessary to investigate whether the disparities in electricity intensity between provinces and industries can converge over time. This paper investigates the trend towards low-energy consumption in China and verifies the club convergence of electricity intensity across provinces and industries in China using a data-driven log t -test and club clustering algorithm. The study innovatively finds that the convergence of electricity intensity is more pronounced in the tertiary sector. The value added of electricity consumption in the tertiary sector is closely related to the level of regional economic development, further indicating that the pattern of low-energy development is closely related to factors such as the geographical location of the province, regional radiation capacity, and industrial structure. In order to accelerate low-energy development in China, the paper proposes policy recommendations related to low-energy development to improve the quality of China’s economic development.

Suggested Citation

  • Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10094-:d:1179401
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    as
    1. Peter C. B. Phillips & Donggyu Sul, 2009. "Economic transition and growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1153-1185, November.
    2. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    3. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    4. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
    5. Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).
    6. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).
    7. Xie, Pinjie & Li, Han & Sun, Feihu & Tian, Huizhen, 2021. "Analysis of the dependence of economic growth on electric power input and its influencing factors in China," Energy Policy, Elsevier, vol. 158(C).
    8. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    9. Wang, Yao & Lin, Boqiang, 2022. "Can energy poverty be alleviated by targeting the low income? Constructing a multidimensional energy poverty index in China," Applied Energy, Elsevier, vol. 321(C).
    10. Jia, Zhijie & Wen, Shiyan & Sun, Zao, 2022. "Current relationship between coal consumption and the economic development and China's future carbon mitigation policies," Energy Policy, Elsevier, vol. 162(C).
    11. Kerui Du, 2017. "Econometric convergence test and club clustering using Stata," Stata Journal, StataCorp LP, vol. 17(4), pages 882-900, December.
    12. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    13. Debin Ma & Jie Zhang & Ziyi Wang & Dongqi Sun, 2022. "Spatio-Temporal Evolution and Influencing Factors of Open Economy Development in the Yangtze River Delta Area," Land, MDPI, vol. 11(10), pages 1-24, October.
    14. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    15. Renato Garcia & Ulisses Pereira dos Santos & Wilson Suzigan, 2020. "Industrial upgrade, economic catch-up and industrial policy in Brazil: general trends and the specific case of the mining industry [Upgrade industrial, catch-up econômico e política industrial no Bras," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(spe), pages 1089-1114, December.
    16. Wang, Moran & Li, Xuerong & Wang, Shouyang, 2021. "Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis," Energy Policy, Elsevier, vol. 154(C).
    17. Jia, Zhijie & Wen, Shiyan & Lin, Boqiang, 2021. "The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China," Applied Energy, Elsevier, vol. 302(C).
    18. Jia, Zhijie & Lin, Boqiang, 2022. "CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code," Energy Economics, Elsevier, vol. 112(C).
    19. Hao, Yu & Peng, Hui, 2017. "On the convergence in China's provincial per capita energy consumption: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 68(C), pages 31-43.
    20. Tao Lv & Duyang Pi & Xu Deng & Xiaoran Hou & Jie Xu & Liya Wang, 2022. "Spatiotemporal Evolution and Influencing Factors of Electricity Consumption in the Yangtze River Delta Region," Energies, MDPI, vol. 15(5), pages 1-12, February.
    21. Liu, Hong & Wang, Chang & Tian, Meiyu & Wen, Fenghua, 2019. "Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015," Energy, Elsevier, vol. 171(C), pages 1139-1149.
    22. Keke Wang & Dongxiao Niu & Min Yu & Yi Liang & Xiaolong Yang & Jing Wu & Xiaomin Xu, 2021. "Analysis and Countermeasures of China’s Green Electric Power Development," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    23. Bai, Caiquan & Du, Kerui & Yu, Ying & Feng, Chen, 2019. "Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis," Energy Economics, Elsevier, vol. 81(C), pages 698-708.
    24. Zhang, Yu & Jin, Warren & Xu, Miao, 2021. "Total factor efficiency and convergence analysis of renewable energy in Latin American countries," Renewable Energy, Elsevier, vol. 170(C), pages 785-795.
    25. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    26. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    27. Kevin X.D. Huang, 2019. "Growth and Cycles in China's Unbalanced Development: Resource Misallocation, Debt Overhang, Economic Inequality, and the Importance of Structural Reforms," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 14(1), pages 53-71, March.
    28. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    29. Morales-Lage, Rafael & Bengochea-Morancho, Aurelia & Camarero, Mariam & Martínez-Zarzoso, Inmaculada, 2019. "Club convergence of sectoral CO2 emissions in the European Union," Energy Policy, Elsevier, vol. 135(C).
    30. Bangjun, Wang & Linyu, Cui & Feng, Ji & Yue, Wang, 2023. "Research on club convergence effect and its influencing factors of per capita energy consumption: Evidence from the data of 243 prefecture-level cities in China," Energy, Elsevier, vol. 263(PB).
    31. Jia, Zhijie & Wen, Shiyan & Liu, Yu, 2022. "China's urban-rural inequality caused by carbon neutrality: A perspective from carbon footprint and decomposed social welfare," Energy Economics, Elsevier, vol. 113(C).
    32. Herrerias, M.J. & Liu, G., 2013. "Electricity intensity across Chinese provinces: New evidence on convergence and threshold effects," Energy Economics, Elsevier, vol. 36(C), pages 268-276.
    33. Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
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