IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v147y2020ics0301421520305966.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421520305966
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2020.111881?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Best, Rohan & Burke, Paul J., 2018. "Electricity availability: A precondition for faster economic growth?," Energy Economics, Elsevier, vol. 74(C), pages 321-329.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Manish Bapna, 2012. "Sustainability is key to development goals," Nature, Nature, vol. 489(7416), pages 367-367, September.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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).
    3. Zhou, Chenyu & Shen, Yun & Wu, Haixin & Wang, Jianhong, 2022. "Using fractional discrete Verhulst model to forecast Fujian's electricity consumption in China," Energy, Elsevier, vol. 255(C).
    4. Wang, Na & Fu, Xiaodong & Wang, Shaobin, 2022. "Spatial-temporal variation and coupling analysis of residential energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 309(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "On electricity consumption and economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 353-368.
    2. Solomon P. Nathaniel & Festus V. Bekun, 2020. "Electricity Consumption, Urbanization and Economic Growth in Nigeria: New Insights from Combined Cointegration amidst Structural Breaks," Research Africa Network Working Papers 20/013, Research Africa Network (RAN).
    3. Al-Mulali, Usama & Ozturk, Ilhan, 2014. "Are energy conservation policies effective without harming economic growth in the Gulf Cooperation Council countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 639-650.
    4. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M., 2014. "Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 290-298.
    5. Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 951-959.
    6. Hamdi, Helmi & Sbia, Rashid & Shahbaz, Muhammad, 2014. "The nexus between electricity consumption and economic growth in Bahrain," Economic Modelling, Elsevier, vol. 38(C), pages 227-237.
    7. Sofien, Tiba & Omri, Anis, 2016. "Literature survey on the relationships between energy variables, environment and economic growth," MPRA Paper 82555, University Library of Munich, Germany, revised 14 Sep 2016.
    8. Sebastian Majewski & Urszula Mentel & Raufhon Salahodjaev & Marek Cierpiał-Wolan, 2022. "Electricity Consumption and Economic Growth: Evidence from South Asian Countries," Energies, MDPI, vol. 15(4), pages 1-10, February.
    9. He, Yiming & Fullerton, Thomas M. & Walke, Adam G., 2017. "Electricity consumption and metropolitan economic performance in Guangzhou: 1950–2013," Energy Economics, Elsevier, vol. 63(C), pages 154-160.
    10. Habib Hussain Khan & Nahla Samargandi & Adeel Ahmed, 2021. "Economic development, energy consumption, and climate change: An empirical account from Malaysia," Natural Resources Forum, Blackwell Publishing, vol. 45(4), pages 397-423, November.
    11. Solarin, Sakiru Adebola & Shahbaz, Muhammad, 2013. "Trivariate causality between economic growth, urbanisation and electricity consumption in Angola: Cointegration and causality analysis," Energy Policy, Elsevier, vol. 60(C), pages 876-884.
    12. Chen, Ping-Yu & Chen, Sheng-Tung & Chen, Chi-Chung, 2012. "Energy consumption and economic growth—New evidence from meta analysis," Energy Policy, Elsevier, vol. 44(C), pages 245-255.
    13. Kyophilavong, Phouphet & Shahbaz, Muhammad & Kim, Byoungki & OH, Jeong-Soo, 2017. "A note on the electricity-growth nexus in Lao PDR," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1251-1260.
    14. Tang, Chor Foon & Shahbaz, Muhammad & Arouri, Mohamed, 2013. "Re-investigating the electricity consumption and economic growth nexus in Portugal," Energy Policy, Elsevier, vol. 62(C), pages 1515-1524.
    15. Mudassir Zaman & Farzana Shaheen & Azad Haider & Sadia Qamar, 2015. "Examining Relationship between Electricity Consumption and its Major Determinants in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 998-1009.
    16. Marques, António Cardoso & Fuinhas, José Alberto & Neves, Sónia Almeida, 2018. "Ordinary and Special Regimes of electricity generation in Spain: How they interact with economic activity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1226-1240.
    17. Dakpogan, Arnaud & Smit, Eon, 2018. "The effect of electricity losses on GDP in Benin," MPRA Paper 89545, University Library of Munich, Germany.
    18. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    19. Chor Foon Tang and Eu Chye Tan, 2012. "Electricity Consumption and Economic Growth in Portugal: Evidence from a Multivariate Framework Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    20. Wu, Cheng-Feng & Wang, Chien-Ming & Chang, Tsangyao & Yuan, Chien-Chung, 2019. "The nexus of electricity and economic growth in major economies: The United States-India-China triangle," Energy, Elsevier, vol. 188(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305966. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.