IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i16p8888-d620085.html
   My bibliography  Save this article

The Relationship between Energy Poverty and Individual Development: Exploring the Serial Mediating Effects of Learning Behavior and Health Condition

Author

Listed:
  • Yiming Xiao

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Han Wu

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Guohua Wang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Shangrui Wang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Energy poverty has negative impacts on the residents’ life from various aspects. A comprehensive understanding of these impacts is the top priority in energy poverty governance. Previous qualitative studies have shown that energy poverty has the potential to negatively impact the individual development of residents through multiple pathways. However, few scholars have explored this issue from a quantitative perspective. To fill the gaps in existing research, this study aims to examine the impact of energy poverty on individual development and explore the serial mediating effects of learning behavior and health condition in the relationship. A total of 2289 valid samples are obtained from the dataset of Chinese General Social Survey (CGSS). SPSS 26.0 and PROCESS 3.5 are used to conduct serial mediating effects analysis. The results show that energy poverty can significantly negatively impact the individual development of residents. Learning behavior and health condition are found to independently or serially mediate the relationship between energy poverty and individual development. Health condition has the stronger mediating effect, whereas the mediating effect of learning behavior is weaker. This study may contribute to a better understanding of the consequences of energy poverty in government and academia.

Suggested Citation

  • Yiming Xiao & Han Wu & Guohua Wang & Shangrui Wang, 2021. "The Relationship between Energy Poverty and Individual Development: Exploring the Serial Mediating Effects of Learning Behavior and Health Condition," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8888-:d:620085
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/16/8888/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/16/8888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shahidur R. Khandker, Hussain A. Samad, Rubaba Ali, and Douglas F. Barnes, 2014. "Who Benefits Most from Rural Electrification? Evidence in India," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    2. Rafi, Muhammed & Naseef, Mohemmad & Prasad, Salu, 2021. "Multidimensional energy poverty and human capital development: Empirical evidence from India," Energy Economics, Elsevier, vol. 101(C).
    3. Zhang, Ziyu & Shu, Hongting & Yi, Hong & Wang, Xiaohua, 2021. "Household multidimensional energy poverty and its impacts on physical and mental health," Energy Policy, Elsevier, vol. 156(C).
    4. Urpelainen, Johannes, 2016. "Energy poverty and perceptions of solar power in marginalized communities: Survey evidence from Uttar Pradesh, India," Renewable Energy, Elsevier, vol. 85(C), pages 534-539.
    5. Che, Xiahui & Zhu, Bangzhu & Wang, Ping, 2021. "Assessing global energy poverty: An integrated approach," Energy Policy, Elsevier, vol. 149(C).
    6. Reyes, René & Schueftan, Alejandra & Ruiz, Cecilia & González, Alejandro D., 2019. "Controlling air pollution in a context of high energy poverty levels in southern Chile: Clean air but colder houses?," Energy Policy, Elsevier, vol. 124(C), pages 301-311.
    7. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    8. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    9. Younghui Hwang & Jihyun Oh, 2021. "The Relationship between Self-Directed Learning and Problem-Solving Ability: The Mediating Role of Academic Self-Efficacy and Self-Regulated Learning among Nursing Students," IJERPH, MDPI, vol. 18(4), pages 1-9, February.
    10. Acheampong, Alex O. & Erdiaw-Kwasie, Michael Odei & Abunyewah, Matthew, 2021. "Does energy accessibility improve human development? Evidence from energy-poor regions," Energy Economics, Elsevier, vol. 96(C).
    11. Chung-Jen Wang & I-Hsiu Yang, 2021. "Why and How Does Empowering Leadership Promote Proactive Work Behavior? An Examination with a Serial Mediation Model among Hotel Employees," IJERPH, MDPI, vol. 18(5), pages 1-18, March.
    12. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    13. Lin Zhang & Xueyao Ma & Xianglian Yu & Meizhu Ye & Na Li & Shan Lu & Jiayi Wang, 2021. "Childhood Trauma and Psychological Distress: A Serial Mediation Model among Chinese Adolescents," IJERPH, MDPI, vol. 18(13), pages 1-11, June.
    14. Villalobos, Carlos & Chávez, Carlos & Uribe, Adolfo, 2021. "Energy poverty measures and the identification of the energy poor: A comparison between the utilitarian and capability-based approaches in Chile," Energy Policy, Elsevier, vol. 152(C).
    15. Yohanis, Yigzaw Goshu, 2012. "Domestic energy use and householders' energy behaviour," Energy Policy, Elsevier, vol. 41(C), pages 654-665.
    16. Youlim Kim & Hyeonkyeong Lee & Mikyung Lee & Hyeyeon Lee & Sookyung Kim & Kennedy Diema Konlan, 2021. "The Sequential Mediating Effects of Dietary Behavior and Perceived Stress on the Relationship between Subjective Socioeconomic Status and Multicultural Adolescent Health," IJERPH, MDPI, vol. 18(7), pages 1-11, March.
    17. Liddell, Christine & Morris, Chris, 2010. "Fuel poverty and human health: A review of recent evidence," Energy Policy, Elsevier, vol. 38(6), pages 2987-2997, June.
    18. Oum, Sothea, 2019. "Energy poverty in the Lao PDR and its impacts on education and health," Energy Policy, Elsevier, vol. 132(C), pages 247-253.
    19. 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.
    20. Zhang, Quanda & Appau, Samuelson & Kodom, Peter Lord, 2021. "Energy poverty, children's wellbeing and the mediating role of academic performance: Evidence from China," Energy Economics, Elsevier, vol. 97(C).
    21. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    22. Sambodo, Maxensius Tri & Novandra, Rio, 2019. "The state of energy poverty in Indonesia and its impact on welfare," Energy Policy, Elsevier, vol. 132(C), pages 113-121.
    23. Sagar, Ambuj D., 2005. "Alleviating energy poverty for the world's poor," Energy Policy, Elsevier, vol. 33(11), pages 1367-1372, July.
    24. Leach, Gerald, 1992. "The energy transition," Energy Policy, Elsevier, vol. 20(2), pages 116-123, February.
    25. Schuessler, Rudolf, 2014. "Energy poverty indicators: Conceptual issues. Part I: The ten-percent-rule and double median/mean indicators," ZEW Discussion Papers 14-037, ZEW - Leibniz Centre for European Economic Research.
    26. 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.
    27. Adom, Philip Kofi & Amuakwa-Mensah, Franklin & Agradi, Mawunyo Prosper & Nsabimana, Aimable, 2021. "Energy poverty, development outcomes, and transition to green energy," Renewable Energy, Elsevier, vol. 178(C), pages 1337-1352.
    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. Keyu Chen & Chao Feng, 2022. "Linking Housing Conditions and Energy Poverty: From a Perspective of Household Energy Self-Restriction," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    2. John M. Polimeni & Mihaela Simionescu & Raluca I. Iorgulescu, 2022. "Energy Poverty and Personal Health in the EU," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    3. Yiming Xiao & Zhijun Feng & Xinying Li & Shangrui Wang, 2024. "Low-carbon transition and energy poverty: quasi-natural experiment evidence from China’s low-carbon city pilot policy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    4. Mahali Elizabeth Lesala & Ngwarai Shambira & Golden Makaka & Patrick Mukumba, 2023. "The Energy Poverty Status of Off-Grid Rural Households: A Case of the Upper Blinkwater Community in the Eastern Cape Province, South Africa," Energies, MDPI, vol. 16(23), pages 1-15, November.

    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. Omar, Md Abdullah & Hasanujzaman, Muhammad, 2021. "Multidimensional energy poverty in Bangladesh and its effect on health and education: A multilevel analysis based on household survey data," Energy Policy, Elsevier, vol. 158(C).
    2. 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).
    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. Xuefeng Li & Han Yang & Jin Jia, 2022. "Impact of energy poverty on cognitive and mental health among middle-aged and older adults in China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    5. 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).
    6. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    7. Banerjee, Rajabrata & Mishra, Vinod & Maruta, Admasu Asfaw, 2021. "Energy poverty, health and education outcomes: Evidence from the developing world," Energy Economics, Elsevier, vol. 101(C).
    8. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
    9. Lan, Jing & Khan, Sufyan Ullah & Sadiq, Muhammad & Chien, Fengsheng & Baloch, Zulfiqar Ali, 2022. "Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia," Energy Policy, Elsevier, vol. 165(C).
    10. Richard S. J. Tol, 2023. "Navigating the energy trilemma during geopolitical and environmental crises," Papers 2301.07671, arXiv.org.
    11. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    12. Cheng, Zhiming & Guo, Liwen & Smyth, Russell & Tani, Massimiliano, 2022. "Childhood adversity and energy poverty," Energy Economics, Elsevier, vol. 111(C).
    13. Fu Wang & Hong Geng & Donglan Zha & Chaoqun Zhang, 2023. "Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 45-78, August.
    14. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    15. 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).
    16. Siyou Xia & Yu Yang & Xiaoying Qian & Xin Xu, 2022. "Spatiotemporal Interaction and Socioeconomic Determinants of Rural Energy Poverty in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    17. Keyu Chen & Chao Feng, 2022. "Linking Housing Conditions and Energy Poverty: From a Perspective of Household Energy Self-Restriction," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    18. 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).
    19. 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).
    20. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.

    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:gam:jijerp:v:18:y:2021:i:16:p:8888-:d:620085. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.