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Research on the economic development pattern of Chinese counties based on electricity consumption

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  • Shi, Yong
  • Ren, Xinyue
  • Guo, Kun
  • Zhou, Yi
  • Wang, Jun

Abstract

With the implementation of the Policy of “Targeted Poverty Alleviation” in 2013, China has been in the critical stage to fight against poverty and the county economy has entered into a new stage of development which presents new evolutionary characteristics. However, traditional poverty county assessments are mostly based on the economic census, which not only costs a lot of manpower and material resources, but also shows the feature of hysteresis and scarcity. In this paper, county-level electricity consumption data is adopted to explore the characteristics of China's county-level economy development based on BIRCH clustering since electricity consumption data can be more sensitive and objective in reflecting regional economic development and residents' income level. The results show that four kinds of county-level economic development patterns can be categorized in China with different industrial structures. Then the potential problems with different development patterns are explored and suitable policy suggestions for each pattern is proposed separately. It can be found that electricity consumption should be a useful auxiliary tool for economic development assessment and monitoring for China and other similar developing countries.

Suggested Citation

  • Shi, Yong & Ren, Xinyue & Guo, Kun & Zhou, Yi & Wang, Jun, 2020. "Research on the economic development pattern of Chinese counties based on electricity consumption," Energy Policy, Elsevier, vol. 147(C).
    • Handle: RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305966
    DOI: 10.1016/j.enpol.2020.111881
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    as
    1. Eric V. Edmonds & Norbert Schady, 2012. "Poverty Alleviation and Child Labor," American Economic Journal: Economic Policy, American Economic Association, vol. 4(4), pages 100-124, November.
    2. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
    3. Yan Hong Chen & Wei-Chiang Hong & Wen Shen & Ning Ning Huang, 2016. "Electric Load Forecasting Based on a Least Squares Support Vector Machine with Fuzzy Time Series and Global Harmony Search Algorithm," Energies, MDPI, vol. 9(2), pages 1-13, January.
    4. Ciarreta, A. & Zarraga, A., 2010. "Economic growth-electricity consumption causality in 12 European countries: A dynamic panel data approach," Energy Policy, Elsevier, vol. 38(7), pages 3790-3796, July.
    5. Besley, Timothy J & Kanbur, S M Ravi, 1988. "Food Subsidies and Poverty Alleviation," Economic Journal, Royal Economic Society, vol. 98(392), pages 701-719, September.
    6. Osman, Mohamed & Gachino, Geoffrey & Hoque, Ariful, 2016. "Electricity consumption and economic growth in the GCC countries: Panel data analysis," Energy Policy, Elsevier, vol. 98(C), pages 318-327.
    7. Shahbaz, Muhammad & Tang, Chor Foon & Shahbaz Shabbir, Muhammad, 2011. "Electricity consumption and economic growth nexus in Portugal using cointegration and causality approaches," Energy Policy, Elsevier, vol. 39(6), pages 3529-3536, June.
    8. Manish Bapna, 2012. "Sustainability is key to development goals," Nature, Nature, vol. 489(7416), pages 367-367, September.
    9. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "Exploring the transformation and upgrading of China’s economy using electricity consumption data: A VAR–VEC based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 144-155.
    10. Cheng, Benjamin S. & Lai, Tin Wei, 1997. "An investigation of co-integration and causality between energy consumption and economic activity in Taiwan," Energy Economics, Elsevier, vol. 19(4), pages 435-444, October.
    11. Räsänen, Teemu & Voukantsis, Dimitrios & Niska, Harri & Karatzas, Kostas & Kolehmainen, Mikko, 2010. "Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data," Applied Energy, Elsevier, vol. 87(11), pages 3538-3545, November.
    12. Best, Rohan & Burke, Paul J., 2018. "Electricity availability: A precondition for faster economic growth?," Energy Economics, Elsevier, vol. 74(C), pages 321-329.
    13. Tang, Chor Foon, 2008. "A re-examination of the relationship between electricity consumption and economic growth in Malaysia," Energy Policy, Elsevier, vol. 36(8), pages 3067-3075, August.
    14. Haugom, Erik & Westgaard, Sjur & Solibakke, Per Bjarte & Lien, Gudbrand, 2011. "Realized volatility and the influence of market measures on predictability: Analysis of Nord Pool forward electricity data," Energy Economics, Elsevier, vol. 33(6), pages 1206-1215.
    15. Bélaïd, Fateh & Youssef, Meriem, 2017. "Environmental degradation, renewable and non-renewable electricity consumption, and economic growth: Assessing the evidence from Algeria," Energy Policy, Elsevier, vol. 102(C), pages 277-287.
    16. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
    17. Ouyang, Yaofu & Li, Peng, 2018. "On the nexus of financial development, economic growth, and energy consumption in China: New perspective from a GMM panel VAR approach," Energy Economics, Elsevier, vol. 71(C), pages 238-252.
    18. Lekavičius, Vidas & Galinis, Arvydas & Miškinis, Vaclovas, 2019. "Long-term economic impacts of energy development scenarios: The role of domestic electricity generation," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    19. Mosley, Paul & Hulme, David, 1998. "Microenterprise finance: Is there a conflict between growth and poverty alleviation?," World Development, Elsevier, vol. 26(5), pages 783-790, May.
    20. Zhang, Tong & Shi, Xunpeng & Zhang, Dayong & Xiao, Junji, 2019. "Socio-economic development and electricity access in developing economies: A long-run model averaging approach," Energy Policy, Elsevier, vol. 132(C), pages 223-231.
    21. Agrawal, Rahul Kumar & Muchahary, Frankle & Tripathi, Madan Mohan, 2019. "Ensemble of relevance vector machines and boosted trees for electricity price forecasting," Applied Energy, Elsevier, vol. 250(C), pages 540-548.
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    Cited by:

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    3. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    4. Liu, Fengqi & Kang, Yuxin & Guo, Kun, 2022. "Is electricity consumption of Chinese counties decoupled from carbon emissions? A study based on Tapio decoupling index," Energy, Elsevier, vol. 251(C).

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