IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v364y2024ics0306261924005166.html
   My bibliography  Save this article

Rural-urban inequality in energy use sufficiency and efficiency during a rapid urbanization period

Author

Listed:
  • Sun, Shuyu
  • Tong, Kangkang

Abstract

Developing countries with rapid urbanization face challenges in providing sufficient energy to both rural and urban households in an efficient manner. However, few empirical studies explored both energy sufficiency and efficiency inequality in rural and urban households at the sub-national level within a nation during a rapid urbanization period to inform equitable energy transitions. Therefore, this research collected 2000–2019 subnational-level data in China to explore the pattern of rural-vs-urban inequality in energy use per person (indicating sufficiency) and energy use intensity (EUI, indicating efficiency). Gini coefficients and disparity ratios, two social inequality measurements, were used to quantify social inequality in energy use. Fixed effect models with interaction terms were adopted to explore the impact of income, energy end-use structure, and floor area on energy use differences between rural and urban households. Gini coefficients of both energy measurements decreased by 43%–47% from 2000 to 2019, suggesting a more equitable distribution of end-use energy sufficiency and efficiency between urban and rural households. Rural-vs-urban disparity ratios showed that rural households in more provinces used more energy per person with higher EUI than urban households in 2019, compared to the pattern observed in 2000. Income in rural households had a statistically significant larger impact on energy use per person and EUI than that in urban households. By evaluating energy inequality in both sufficiency and efficiency from an overlooked rural-vs-urban perspective, this study enhances the understanding of social inequality in energy use and provides valuable insights into just energy transitions in urbanizing and developing countries.

Suggested Citation

  • Sun, Shuyu & Tong, Kangkang, 2024. "Rural-urban inequality in energy use sufficiency and efficiency during a rapid urbanization period," Applied Energy, Elsevier, vol. 364(C).
  • Handle: RePEc:eee:appene:v:364:y:2024:i:c:s0306261924005166
    DOI: 10.1016/j.apenergy.2024.123133
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924005166
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.123133?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. Jacobson, Arne & Milman, Anita D. & Kammen, Daniel M., 2005. "Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity," Energy Policy, Elsevier, vol. 33(14), pages 1825-1832, September.
    2. Ma, Shaoyue & Xu, Xiangbo & Li, Chang & Zhang, Linxiu & Sun, Mingxing, 2021. "Energy consumption inequality decrease with energy consumption increase: Evidence from rural China at micro scale," Energy Policy, Elsevier, vol. 159(C).
    3. Cabello Eras, Juan José & Mendoza Fandiño, Jorge Mario & Sagastume Gutiérrez, Alexis & Rueda Bayona, Juan Gabriel & Sofan German, Stiven Javier, 2022. "The inequality of electricity consumption in Colombia. Projections and implications," Energy, Elsevier, vol. 249(C).
    4. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2017. "Decomposing inequality in energy-related CO2 emissions by source and source increment: The roles of production and residential consumption," Energy Policy, Elsevier, vol. 107(C), pages 698-710.
    5. Yannick Oswald & Anne Owen & Julia K. Steinberger, 2020. "Large inequality in international and intranational energy footprints between income groups and across consumption categories," Nature Energy, Nature, vol. 5(3), pages 231-239, March.
    6. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    7. Wang, Qiang & Li, Rongrong, 2016. "Drivers for energy consumption: A comparative analysis of China and India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 954-962.
    8. Deborah A. Sunter & Sergio Castellanos & Daniel M. Kammen, 2019. "Disparities in rooftop photovoltaics deployment in the United States by race and ethnicity," Nature Sustainability, Nature, vol. 2(1), pages 71-76, January.
    9. Shonali Pachauri & Miguel Poblete-Cazenave & Arda Aktas & Matthew J. Gidden, 2021. "Access to clean cooking services in energy and emission scenarios after COVID-19," Nature Energy, Nature, vol. 6(11), pages 1067-1076, November.
    10. Zhang, Mingming & Liu, Jinghui & Liu, Liyun & Zhou, Dequn, 2023. "Inequality in urban household energy consumption for 30 Chinese provinces," Energy Policy, Elsevier, vol. 172(C).
    11. Heran Zheng & Yin Long & Richard Wood & Daniel Moran & Zengkai Zhang & Jing Meng & Kuishuang Feng & Edgar Hertwich & Dabo Guan, 2022. "Ageing society in developed countries challenges carbon mitigation," Nature Climate Change, Nature, vol. 12(3), pages 241-248, March.
    12. Fournier, Eric D. & Federico, Felicia & Porse, Erik & Pincetl, Stephanie, 2019. "Effects of building size growth on residential energy efficiency and conservation in California," Applied Energy, Elsevier, vol. 240(C), pages 446-452.
    13. Pang, Qinghua & Dong, Xianwei & Zhang, Lina & Chiu, Yung-ho, 2023. "Drivers and key pathways of the household energy consumption in the Yangtze river economic belt," Energy, Elsevier, vol. 262(PA).
    14. Wassie, Yibeltal T. & Rannestad, Meley M. & Adaramola, Muyiwa S., 2021. "Determinants of household energy choices in rural sub-Saharan Africa: An example from southern Ethiopia," Energy, Elsevier, vol. 221(C).
    15. 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).
    16. Ehigiamusoe, Kizito Uyi & Lean, Hooi Hooi & Smyth, Russell, 2020. "The moderating role of energy consumption in the carbon emissions-income nexus in middle-income countries," Applied Energy, Elsevier, vol. 261(C).
    17. Chenari, Behrang & Dias Carrilho, João & Gameiro da Silva, Manuel, 2016. "Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1426-1447.
    18. Yannick Oswald & Anne Owen & Julia K. Steinberger, 2020. "Publisher Correction: Large inequality in international and intranational energy footprints between income groups and across consumption categories," Nature Energy, Nature, vol. 5(4), pages 349-349, April.
    19. Bianco, Vincenzo & Cascetta, Furio & Marino, Alfonso & Nardini, Sergio, 2019. "Understanding energy consumption and carbon emissions in Europe: A focus on inequality issues," Energy, Elsevier, vol. 170(C), pages 120-130.
    20. Biying Yu & Yi-Ming Wei & Kei Gomi & Yuzuru Matsuoka, 2018. "Future scenarios for energy consumption and carbon emissions due to demographic transitions in Chinese households," Nature Energy, Nature, vol. 3(2), pages 109-118, February.
    21. Jingxin Gao & Xiaoyang Zhong & Weiguang Cai & Hong Ren & Tengfei Huo & Xia Wang & Zhifu Mi, 2019. "Dilution effect of the building area on energy intensity in urban residential buildings," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    22. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    23. Anu Ramaswami & Daqian Jiang & Kangkang Tong & Jerry Zhao, 2018. "Impact of the Economic Structure of Cities on Urban Scaling Factors: Implications for Urban Material and Energy Flows in China," Journal of Industrial Ecology, Yale University, vol. 22(2), pages 392-405, April.
    24. Alam, Manzoor & Sathaye, Jayant & Barnes, Doug, 1998. "Urban household energy use in India: efficiency and policy implications," Energy Policy, Elsevier, vol. 26(11), pages 885-891, September.
    25. Shimei Wu & Xinye Zheng & Chu Wei, 2017. "Measurement of inequality using household energy consumption data in rural China," Nature Energy, Nature, vol. 2(10), pages 795-803, October.
    26. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    27. 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).
    28. Erin E. McDuffie & Randall V. Martin & Joseph V. Spadaro & Richard Burnett & Steven J. Smith & Patrick O’Rourke & Melanie S. Hammer & Aaron Donkelaar & Liam Bindle & Viral Shah & Lyatt Jaeglé & Gan Lu, 2021. "Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    29. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo, 2019. "Energy transition, poverty and inequality: panel evidence from Vietnam," MPRA Paper 107182, University Library of Munich, Germany, revised 10 May 2019.
    30. Benjamin K. Sovacool & Raphael J. Heffron & Darren McCauley & Andreas Goldthau, 2016. "Energy decisions reframed as justice and ethical concerns," Nature Energy, Nature, vol. 1(5), pages 1-6, May.
    31. Sovacool, Benjamin K. & Burke, Matthew & Baker, Lucy & Kotikalapudi, Chaitanya Kumar & Wlokas, Holle, 2017. "New frontiers and conceptual frameworks for energy justice," Energy Policy, Elsevier, vol. 105(C), pages 677-691.
    32. Qiang Wang & Jie Fan & Mei-Po Kwan & Kan Zhou & Guofeng Shen & Na Li & Bowei Wu & Jian Lin, 2023. "Examining energy inequality under the rapid residential energy transition in China through household surveys," Nature Energy, Nature, vol. 8(3), pages 251-263, March.
    33. Zhang, Jinrui & Meerman, Hans & Benders, René & Faaij, André, 2022. "Potential role of natural gas infrastructure in China to supply low-carbon gases during 2020–2050," Applied Energy, Elsevier, vol. 306(PA).
    34. Ma, Wanglin & Vatsa, Puneet & Zheng, Hongyun, 2022. "Cooking fuel choices and subjective well-being in rural China: Implications for a complete energy transition," Energy Policy, Elsevier, vol. 165(C).
    35. Heran Zheng & Yin Long & Richard Wood & Daniel Moran & Zengkai Zhang & Jing Meng & Kuishuang Feng & Edgar Hertwich & Dabo Guan, 2022. "Author Correction: Ageing society in developed countries challenges carbon mitigation," Nature Climate Change, Nature, vol. 12(6), pages 593-593, June.
    36. Luo, Guo-liang & Guo, Yi-wei, 2013. "Rural electrification in China: A policy and institutional analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 320-329.
    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. Zhang, Mingming & Liu, Jinghui & Liu, Liyun & Zhou, Dequn, 2023. "Inequality in urban household energy consumption for 30 Chinese provinces," Energy Policy, Elsevier, vol. 172(C).
    2. Kashour, Mohammad, 2023. "A step towards a just transition in the EU: Conclusions of a regression-based energy inequality decomposition," Energy Policy, Elsevier, vol. 183(C).
    3. Ma, Shaoyue & Xu, Xiangbo & Li, Chang & Zhang, Linxiu & Sun, Mingxing, 2021. "Energy consumption inequality decrease with energy consumption increase: Evidence from rural China at micro scale," Energy Policy, Elsevier, vol. 159(C).
    4. Cabello Eras, Juan José & Mendoza Fandiño, Jorge Mario & Sagastume Gutiérrez, Alexis & Rueda Bayona, Juan Gabriel & Sofan German, Stiven Javier, 2022. "The inequality of electricity consumption in Colombia. Projections and implications," Energy, Elsevier, vol. 249(C).
    5. Yuru Guan & Jin Yan & Yuli Shan & Yannan Zhou & Ye Hang & Ruoqi Li & Yu Liu & Binyuan Liu & Qingyun Nie & Benedikt Bruckner & Kuishuang Feng & Klaus Hubacek, 2023. "Burden of the global energy price crisis on households," Nature Energy, Nature, vol. 8(3), pages 304-316, March.
    6. Bianco, V. & Proskuryakova, L. & Starodubtseva, A., 2021. "Energy inequality in the Eurasian Economic Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    7. Ying Pan & Ke Shi & Zhongxu Zhao & Yao Li & Junxi Wu, 2024. "The effects of China’s poverty eradication program on sustainability and inequality," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    8. Lara P. Clark & Samuel Tabory & Kangkang Tong & Joseph L. Servadio & Kelsey Kappler & Corey Kewei Xu & Abiola S. Lawal & Peter Wiringa & Len Kne & Richard Feiock & Julian D. Marshall & Armistead Russe, 2022. "A data framework for assessing social inequality and equity in multi‐sector social, ecological, infrastructural urban systems: Focus on fine‐spatial scales," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 145-163, February.
    9. Chen, Haitao & Zhang, Bin & Wang, Zhaohua, 2022. "Hidden inequality in household electricity consumption: Measurement and determinants based on large-scale smart meter data," China Economic Review, Elsevier, vol. 71(C).
    10. Dong, Kangyin & Ni, Guohua & Taghizadeh-Hesary, Farhad & Zhao, Congyu, 2023. "Does smart transportation matter in inhibiting carbon inequality?," Energy Economics, Elsevier, vol. 126(C).
    11. Lena Kilian & Anne Owen & Andy Newing & Diana Ivanova, 2022. "Exploring Transport Consumption-Based Emissions: Spatial Patterns, Social Factors, Well-Being, and Policy Implications," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    12. Huang, Rui & Tian, Lixin, 2021. "CO2 emissions inequality through the lens of developing countries," Applied Energy, Elsevier, vol. 281(C).
    13. Sun, Mingxing & Xu, Xiangbo & Wang, Le & Li, Chang & Zhang, Linxiu, 2021. "Stable energy, energy inequality, and climate change vulnerability in Pan-Third Pole regions: Empirical analysis in cross-national rural areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    14. Li, Jiajia & Li, Houjian, 2022. "Spiritual support or living support: Which alleviates solid fuel use for rural households in ethnical minority regions of China?," Renewable Energy, Elsevier, vol. 189(C), pages 479-491.
    15. Zhao, Congyu & Jia, Rongwen & Dong, Kangyin, 2023. "Does financial inclusion achieve the dual dividends of narrowing carbon inequality within cities and between cities? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    16. Clare Hanmer & Charlie Wilson & Oreane Y. Edelenbosch & Detlef P. van Vuuren, 2022. "Translating Global Integrated Assessment Model Output into Lifestyle Change Pathways at the Country and Household Level," Energies, MDPI, vol. 15(5), pages 1-31, February.
    17. Minda Ma & Ran Yan & Weiguang Cai, 2017. "An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 741-756, November.
    18. Gao, Yuan & Chong, Chin Hao & Liu, Gengyuan & Casazza, Marco & Xiong, Xiaoping & Liu, Bojie & Zhou, Xuanru & Zhou, Xiaoyong & Li, Zheng & Ni, Weidou & Hao, Yan & Ma, Linwei, 2024. "Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China," Energy, Elsevier, vol. 296(C).
    19. Tantiwatthanaphanich, Thanapan & Shao, Xuan & Huang, Liqiao & Yoshida, Yoshikuni & Long, Yin, 2022. "Evaluating carbon footprint embodied in Japanese food consumption based on global supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 56-65.
    20. Tong, Kangkang & Sun, Shuyu, 2024. "Multi-dimensional decoupling analysis in the context of energy use: Dynamic well-being, resource, and impact decoupling relationships in China," Applied Energy, Elsevier, vol. 359(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:appene:v:364:y:2024:i:c:s0306261924005166. 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/405891/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.