IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v47y2015icp308-323.html
   My bibliography  Save this article

Energy poverty in China: An index based comprehensive evaluation

Author

Listed:
  • Wang, Ke
  • Wang, Ya-Xuan
  • Li, Kang
  • Wei, Yi-Ming

Abstract

Energy poverty has got increasing attention during the latest three decades. Measuring energy poverty is the premise of policy making to alleviate energy poverty. There is no unified energy poverty measurement that has been widely accepted. This paper reviews the commonly used energy poverty measurements through classifying them into three categories: energy service availability, energy service quality, and satisfaction of energy demand for human׳s survival and development. This paper also analyzes the suitability of the commonly used energy poverty measurement for China from the prospective of data availability and index applicability. Furthermore, we construct a new energy poverty comprehensive evaluation index in this study, and the index is illustrated to evaluate regional energy poverty in China. The evaluation results indicate that China׳s energy poverty showed an alleviating trend from 2000 to 2011, and during this period, China׳s energy service availability improved slightly; energy consumption cleanliness showed no significant change; energy management completeness decreased with fluctuations; and household energy affordability and energy efficiency improved continually. In addition, China׳s regions show different characteristics of energy poverty. For example, Middle reaches of Yangtze River region showed the worst energy availability and Eastern coastal region showed the worst energy management completeness. Several policy implications for energy poverty alleviation are also proposed in this study, including, for instance, increasing investment on energy infrastructure, and spreading energy management organization in rural area; decreasing relative cost on household commercial energy consumption, and encourage the utilization of modern, clean and efficient household energy consumption equipment.

Suggested Citation

  • Wang, Ke & Wang, Ya-Xuan & Li, Kang & Wei, Yi-Ming, 2015. "Energy poverty in China: An index based comprehensive evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 308-323.
  • Handle: RePEc:eee:rensus:v:47:y:2015:i:c:p:308-323
    DOI: 10.1016/j.rser.2015.03.041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403211500194X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2015.03.041?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Callan, Tim & Nolan, Brian, 1991. "Concepts of Poverty and the Poverty Line," Journal of Economic Surveys, Wiley Blackwell, vol. 5(3), pages 243-261.
    2. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    3. Pereira, Marcio Giannini & Freitas, Marcos Aurélio Vasconcelos & da Silva, Neilton Fidelis, 2010. "Rural electrification and energy poverty: Empirical evidences from Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1229-1240, May.
    4. Mirza, Bilal & Szirmai, Adam, 2010. "Towards a new measurement of energy poverty: A cross-community analysis of rural Pakistan," MERIT Working Papers 2010-024, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Chakravarty, Shoibal & Tavoni, Massimo, 2013. "Energy poverty alleviation and climate change mitigation: Is there a trade off?," Energy Economics, Elsevier, vol. 40(S1), pages 67-73.
    6. Healy, John D. & Clinch, J. Peter, 2004. "Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland," Energy Policy, Elsevier, vol. 32(2), pages 207-220, January.
    7. Parajuli, Ranjan, 2011. "Access to energy in Mid/Far west region-Nepal from the perspective of energy poverty," Renewable Energy, Elsevier, vol. 36(9), pages 2299-2304.
    8. Nolan, Brian & Whelan, Christopher T., 1996. "Resources, Deprivation, and Poverty," OUP Catalogue, Oxford University Press, number 9780198287858, Decembrie.
    9. Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
    10. Li, Kang & Lloyd, Bob & Liang, Xiao-Jie & Wei, Yi-Ming, 2014. "Energy poor or fuel poor: What are the differences?," Energy Policy, Elsevier, vol. 68(C), pages 476-481.
    11. John Hills, 2011. "Fuel Poverty: The problem and its measurement. Interim Report of the Fuel Poverty Review," CASE Reports casereport69, Centre for Analysis of Social Exclusion, LSE.
    12. Barnes, Douglas F. & Khandker, Shahidur R. & Samad, Hussain A., 2011. "Energy poverty in rural Bangladesh," Energy Policy, Elsevier, vol. 39(2), pages 894-904, February.
    13. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
    Full references (including those not matched with items on IDEAS)

    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. Qurat-ul-Ann, Abre-Rehmat & Mirza, Faisal Mehmood, 2020. "Meta-analysis of empirical evidence on energy poverty: The case of developing economies," Energy Policy, Elsevier, vol. 141(C).
    2. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    3. Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    4. Li, Kang & Lloyd, Bob & Liang, Xiao-Jie & Wei, Yi-Ming, 2014. "Energy poor or fuel poor: What are the differences?," Energy Policy, Elsevier, vol. 68(C), pages 476-481.
    5. Sadath, Anver C. & Acharya, Rajesh H., 2017. "Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India," Energy Policy, Elsevier, vol. 102(C), pages 540-550.
    6. Husnain, Muhammad Iftikhar ul & Nasrullah, Nasrullah & Khan, Muhammad Aamir & Banerjee, Suvajit, 2021. "Scrutiny of income related drivers of energy poverty: A global perspective," Energy Policy, Elsevier, vol. 157(C).
    7. Dong, Kangyin & Ren, Xiaohang & Zhao, Jun, 2021. "How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis," Energy Economics, Elsevier, vol. 103(C).
    8. Ma, Cong & Cheok, Mui Yee, 2022. "The impact of financing role and organizational culture in small and medium enterprises: Developing business strategies for economic recovery," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 26-38.
    9. Lin, Boqiang & Wang, Yao, 2020. "Does energy poverty really exist in China? From the perspective of residential electricity consumption," Energy Policy, Elsevier, vol. 143(C).
    10. Tiwari, Sunil & Si Mohammed, Kamel & Guesmi, Khaled, 2023. "A way forward to end energy poverty in China: Role of carbon-cutting targets and net-zero commitments," Energy Policy, Elsevier, vol. 180(C).
    11. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    12. Dong, Kangyin & Jiang, Qingzhe & Shahbaz, Muhammad & Zhao, Jun, 2021. "Does low-carbon energy transition mitigate energy poverty? The case of natural gas for China," Energy Economics, Elsevier, vol. 99(C).
    13. Li, Jinkai & Gao, Ming & Luo, Erga & Wang, Jingyi & Zhang, Xuebiao, 2023. "Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China," Energy Economics, Elsevier, vol. 119(C).
    14. Gafa, Dede W. & Egbendewe, Aklesso Y.G., 2021. "Energy poverty in rural West Africa and its determinants: Evidence from Senegal and Togo," Energy Policy, Elsevier, vol. 156(C).
    15. Ghulam Murtaza & Muhammad Zahir Faridi, 2015. "Causality Linkages among Energy Poverty, Income Inequality, Income Poverty and Growth: A System Dynamic Modelling Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(4), pages 407-425.
    16. Bezerra, Paula & Cruz, Talita & Mazzone, Antonella & Lucena, André F.P. & De Cian, Enrica & Schaeffer, Roberto, 2022. "The multidimensionality of energy poverty in Brazil: A historical analysis," Energy Policy, Elsevier, vol. 171(C).
    17. Aristondo, Oihana & Onaindia, Eneritz, 2018. "Inequality of energy poverty between groups in Spain," Energy, Elsevier, vol. 153(C), pages 431-442.
    18. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).
    19. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    20. Muhammad Shafiullah & Zhilun Jiao & Muhammad Shahbaz & Kangyin Dong, 2023. "Examining energy poverty in Chinese households: An Engel curve approach," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 149-184, March.

    More about this item

    Keywords

    Energy poverty; Energy service; Energy consumption; China;
    All these keywords.

    JEL classification:

    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    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:rensus:v:47:y:2015:i:c:p:308-323. 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/wps/find/journaldescription.cws_home/600126/description#description .

    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.