IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v63y2020ics1043951x20301176.html
   My bibliography  Save this article

Climatic impact on China's residential electricity consumption: Does the income level matter?

Author

Listed:
  • Du, Kerui
  • Yu, Ying
  • Wei, Chu

Abstract

It is widely accepted that energy use contributes to climate change. However, climate change can also affect energy demand. There is ample proof in the literature that a feedback phenomenon exists. However, empirical evidence of its mechanism and operation in different contexts is missing. As China is the largest consumer of electricity worldwide, a detailed study of its energy consumption patterns would be insightful. Moreover, how the increasing income of Chinese residents affects the climate sensitivity of electricity demand is particularly relevant. Using data from 278 cities in China over the period 2005 to 2015, this study applies a newly developed technique, partially linear functional-coefficient panel data model, which enables disclosure of the role of income levels. The results indicate that climate change significantly stimulates residential electricity consumption in hot weather rather than in cold weather. Additionally, the level of income affects climate sensitivity. Specifically, an increase in income initially increases the marginal effect of cooling degree days (days on which building cooling is desired) on electricity consumption, but the curve of the marginal increment becomes flat as income growth increases further.

Suggested Citation

  • Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:chieco:v:63:y:2020:i:c:s1043951x20301176
    DOI: 10.1016/j.chieco.2020.101520
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X20301176
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2020.101520?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. An Yonghong & Hsiao Cheng & Li Dong, 2016. "Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 47-65, Emerald Group Publishing Limited.
    2. Bessec, Marie & Fouquau, Julien, 2008. "The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach," Energy Economics, Elsevier, vol. 30(5), pages 2705-2721, September.
    3. Petrick, Sebastian & Rehdanz, Katrin & Tol, Richard S. J., 2010. "The impact of temperature changes on residential energy consumption," Kiel Working Papers 1618, Kiel Institute for the World Economy (IfW Kiel).
    4. Burke, M. & Craxton, M. & Kolstad, C.D. & Onda, C. & Allcott, H. & Baker, E. & Barrage, L. & Carson, R. & Gillingham, K. & Graff-Zivin, J. & Greenstone, M. & Hallegatte, S. & Hanemann, W.M. & Heal, G., 2016. "Opportunities for advances in climate change economics," ISU General Staff Papers 3565, Iowa State University, Department of Economics.
    5. Samuel Fankhauser & Nicholas Stern, 2016. "Climate change, development, poverty and economics," GRI Working Papers 253, Grantham Research Institute on Climate Change and the Environment.
    6. Gupta, Eshita, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A semi-parametric variable coefficient approach," Energy Economics, Elsevier, vol. 34(5), pages 1407-1421.
    7. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    8. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    9. Solomon M. Hsiang, 2016. "Climate Econometrics," NBER Working Papers 22181, National Bureau of Economic Research, Inc.
    10. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
    11. Salari, Mahmoud & Javid, Roxana J., 2016. "Residential energy demand in the United States: Analysis using static and dynamic approaches," Energy Policy, Elsevier, vol. 98(C), pages 637-649.
    12. Considine, Timothy J., 2000. "The impacts of weather variations on energy demand and carbon emissions," Resource and Energy Economics, Elsevier, vol. 22(4), pages 295-314, October.
    13. Pardo, Angel & Meneu, Vicente & Valor, Enric, 2002. "Temperature and seasonality influences on Spanish electricity load," Energy Economics, Elsevier, vol. 24(1), pages 55-70, January.
    14. repec:dau:papers:123456789/8180 is not listed on IDEAS
    15. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
    16. Wu, Yanrui, 2012. "Energy intensity and its determinants in China's regional economies," Energy Policy, Elsevier, vol. 41(C), pages 703-711.
    17. Ahmed, T. & Muttaqi, K.M. & Agalgaonkar, A.P., 2012. "Climate change impacts on electricity demand in the State of New South Wales, Australia," Applied Energy, Elsevier, vol. 98(C), pages 376-383.
    18. Yating Li & William A. Pizer & Libo Wu, 2019. "Climate change and residential electricity consumption in the Yangtze River Delta, China," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(2), pages 472-477, January.
    19. Eshita Gupta, 2016. "The Effect Of Development On The Climate Sensitivity Of Electricity Demand In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-49, May.
    20. Auffhammer, Maximilian & Mansur, Erin T., 2014. "Measuring climatic impacts on energy consumption: A review of the empirical literature," Energy Economics, Elsevier, vol. 46(C), pages 522-530.
    21. Solomon Hsiang, 2016. "Climate Econometrics," Annual Review of Resource Economics, Annual Reviews, vol. 8(1), pages 43-75, October.
    22. Maximilian Auffhammer, 2018. "Climate Adaptive Response Estimation: Short And Long Run Impacts Of Climate Change On Residential Electricity and Natural Gas Consumption Using Big Data," NBER Working Papers 24397, National Bureau of Economic Research, Inc.
    23. Mideksa, Torben K. & Kallbekken, Steffen, 2010. "The impact of climate change on the electricity market: A review," Energy Policy, Elsevier, vol. 38(7), pages 3579-3585, July.
    24. Maximilian Auffhammer, 2014. "Cooling China: The Weather Dependence of Air Conditioner Adoption," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 9(1), pages 70-84, March.
    25. Eshita Gupta, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A Semi-parametric variable coefficient approach," Discussion Papers 12-02, Indian Statistical Institute, Delhi.
    26. Cho, Won G. & Nam, Kiseok & Pagan, Jose A., 2004. "Economic growth and interfactor/interfuel substitution in Korea," Energy Economics, Elsevier, vol. 26(1), pages 31-50, January.
    27. Burke, M & Craxton, M & Kolstad, CD & Onda, C & Allcott, H & Baker, E & Barrage, L & Carson, R & Gillingham, K & Graf-Zivin, J & Greenstone, M & Hallegatte, S & Hanemann, WM & Heal, G & Hsiang, S & Jo, 2016. "Opportunities for advances in climate change economics," University of California at Santa Barbara, Recent Works in Economics qt4tc5d9pb, Department of Economics, UC Santa Barbara.
    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. Zhi Li & Lu Lv & Zuo Zhang, 2022. "Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency," Energies, MDPI, vol. 15(20), pages 1-15, October.
    2. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    3. Lanlan Li & Xinpei Song & Jingjing Li & Ke Li & Jianling Jiao, 2023. "The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?," Climatic Change, Springer, vol. 176(3), pages 1-26, March.
    4. Jones, Andrew & Nock, Destenie & Samaras, Constantine & Qiu, Yueming (Lucy) & Xing, Bo, 2023. "Climate change impacts on future residential electricity consumption and energy burden: A case study in Phoenix, Arizona," Energy Policy, Elsevier, vol. 183(C).
    5. Yabin Da & Bin Zeng & Jing-Li Fan & Jiawei Hu & Lanlan Li, 2023. "Heterogeneous responses to climate: evidence from residential electricity consumption," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
    6. Cuihui Xia & Tandong Yao & Weicai Wang & Wentao Hu, 2022. "Effect of Climate on Residential Electricity Consumption: A Data-Driven Approach," Energies, MDPI, vol. 15(9), pages 1-20, May.
    7. Lin, Boqiang & Li, Minyang, 2022. "Understanding the investment of renewable energy firms in the face of economic policy uncertainty – Micro-evidence from listed companies in China," China Economic Review, Elsevier, vol. 75(C).
    8. Igawa, Moegi & Piao, Xiangdan & Managi, Shunsuke, 2022. "The impact of cooling energy needs on subjective well-being: Evidence from Japan," Ecological Economics, Elsevier, vol. 198(C).
    9. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    10. Zhang, Guoxing & Shen, Lin & Su, Bin, 2023. "Temperature change and daily urban-rural residential electricity consumption in northwestern China: Responsiveness and inequality," Energy Economics, Elsevier, vol. 126(C).
    11. Wang, Wei & Xiao, Weiwei & Bai, Caiquan, 2022. "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, Elsevier, vol. 68(C).
    12. Tan-Soo, Jie-Sheng & Li, Jun & Qin, Ping, 2023. "Individuals' and households' climate adaptation and mitigation behaviors: A systematic review," China Economic Review, Elsevier, vol. 77(C).
    13. Bai, Rui & Lin, Boqiang & Liu, Xiying, 2021. "Government subsidies and firm-level renewable energy investment: New evidence from partially linear functional-coefficient models," Energy Policy, Elsevier, vol. 159(C).
    14. Wang, Jiaxin & Lu, Feng, 2021. "Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery," Energy, Elsevier, vol. 234(C).
    15. Ouyang, Xiaoling & Yang, Yuchuan & Du, Kerui & Cheng, Zhenyu, 2022. "How does residential electricity consumption respond to electricity efficiency improvement? Evidence from 287 prefecture-level cities in China," Energy Policy, Elsevier, vol. 171(C).
    16. Shen, Meng & Li, Xiang & Lu, Yujie & Cui, Qingbin & Wei, Yi-Ming, 2021. "Personality-based normative feedback intervention for energy conservation," Energy Economics, Elsevier, vol. 104(C).
    17. Yuanping Wang & Weiguang Cai & Lingchun Hou & Zhaoyin Zhou & Jing Bian, 2022. "Examining the Provincial-Level Difference and Impact Factors of Urban Household Electricity Consumption in China—Based on the Extended STIRPAT Model," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    18. Zhang, Chongchong & Cai, Xiangyu & Lin, Boqiang, 2023. "The low-carbon transition of China's power sector: Scale effect of grid upgrading," Energy, Elsevier, vol. 285(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. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    2. Ozhegov, Evgeniy & Popova, Evgeniya, 2017. "Demand for electricity and weather conditions: Nonparametric analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 55-73.
    3. Hongliang Zhang & Jianhong E. Mu & Bruce A. McCarl & Jialing Yu, 2022. "The impact of climate change on global energy use," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-19, January.
    4. Richard S.J. Tol, 2020. "The Economic Impact of Weather and Climate," Video Library 2094, Department of Economics, University of Sussex Business School.
    5. Auffhammer, Maximilian, 2022. "Climate Adaptive Response Estimation: Short and long run impacts of climate change on residential electricity and natural gas consumption," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    6. Matthew Ranson & Lauren Morris & Alex Kats-Rubin, 2014. "Climate Change and Space Heating Energy Demand: A Review of the Literature," NCEE Working Paper Series 201407, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Dec 2014.
    7. Meixuan Teng & Hua Liao & Paul J. Burke & Tianqi Chen & Chen Zhang, 2022. "Adaptive responses: the effects of temperature levels on residential electricity use in China," Climatic Change, Springer, vol. 172(3), pages 1-20, June.
    8. Harish, Santosh & Singh, Nishmeet & Tongia, Rahul, 2020. "Impact of temperature on electricity demand: Evidence from Delhi and Indian states," Energy Policy, Elsevier, vol. 140(C).
    9. Charles D. Kolstad & Frances C. Moore, 2020. "Estimating the Economic Impacts of Climate Change Using Weather Observations," Review of Environmental Economics and Policy, University of Chicago Press, vol. 14(1), pages 1-24.
    10. Garg, Teevrat & Gibson, Matthew & Sun, Fanglin, 2020. "Extreme temperatures and time use in China," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 309-324.
    11. Fan, Jing-Li & Hu, Jia-Wei & Zhang, Xian, 2019. "Impacts of climate change on electricity demand in China: An empirical estimation based on panel data," Energy, Elsevier, vol. 170(C), pages 880-888.
    12. Themann, Michael, 2021. "At boiling point: Temperature shocks in global business groups," Ruhr Economic Papers 905, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).
    14. Díaz, Juan-José & Saldarriaga, Victor, 2023. "A drop of love? Rainfall shocks and spousal abuse: Evidence from rural Peru," Journal of Health Economics, Elsevier, vol. 89(C).
    15. Kahn, Matthew E. & Mohaddes, Kamiar & Ng, Ryan N.C. & Pesaran, M. Hashem & Raissi, Mehdi & Yang, Jui-Chung, 2021. "Long-term macroeconomic effects of climate change: A cross-country analysis," Energy Economics, Elsevier, vol. 104(C).
    16. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    17. Sven Kunze, 2021. "Unraveling the Effects of Tropical Cyclones on Economic Sectors Worldwide: Direct and Indirect Impacts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(4), pages 545-569, April.
    18. Marco Gortan & Lorenzo Testa & Giorgio Fagiolo & Francesco Lamperti, 2023. "A unified repository for pre-processed climate data weighted by gridded economic activity," Papers 2312.05971, arXiv.org.
    19. Linsenmeier, Manuel, 2021. "Seasonal temperature variability and economic cycles," LSE Research Online Documents on Economics 115526, London School of Economics and Political Science, LSE Library.
    20. Bhaskar Jyoti Neog, 2022. "Temperature shocks and rural labour markets: evidence from India," Climatic Change, Springer, vol. 171(1), pages 1-20, March.

    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:chieco:v:63:y:2020:i:c:s1043951x20301176. 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/chieco .

    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.