IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i21p7241-d1266748.html
   My bibliography  Save this article

Energy Poverty, Internal Immigration, and Sustainable Development: Empirical Evidence from China

Author

Listed:
  • Shuaihe Zhuo

    (School of Business, Macau University of Science and Technology, Macau SAR 999078, China)

  • Lin Jia

    (School of Business, Macau University of Science and Technology, Macau SAR 999078, China)

Abstract

This study examines the impact of energy poverty on internal immigration based on the current situation in which reducing energy poverty is a necessary condition for ensuring sustainable development. The threshold effects model is applied to verify the significance of energy poverty in the prediction of internal immigration. The main results suggest that energy poverty significantly and negatively affects internal immigration. A heterogeneity analysis between coastal and non-coastal regions shows that the effects are more pronounced in non-coastal regions than in coastal regions. Further analysis reveals that there exists a kink in the threshold effects. The results remain robust using the specification of the kink threshold effects model. The policy implication is that a balanced development of energy infrastructure in different regions is required to achieve better social welfare for migrants.

Suggested Citation

  • Shuaihe Zhuo & Lin Jia, 2023. "Energy Poverty, Internal Immigration, and Sustainable Development: Empirical Evidence from China," Energies, MDPI, vol. 16(21), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7241-:d:1266748
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/21/7241/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/21/7241/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    3. Wang, Yan & Conesa, Juan Carlos, 2022. "The role of demographics and migration for the future of economic growth in China," European Economic Review, Elsevier, vol. 144(C).
    4. Cheng, Zhiming & Tani, Massimiliano & Wang, Haining, 2021. "Energy poverty and entrepreneurship," Energy Economics, Elsevier, vol. 102(C).
    5. Bai, Jushan, 1997. "Estimating Multiple Breaks One at a Time," Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
    6. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2023. "Addressing Multidimensional Energy Poverty Implications on Achieving Sustainable Development," Energies, MDPI, vol. 16(9), pages 1-30, April.
    7. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    8. Ioanna Kyprianou & Despina Serghides & Harriet Thomson & Salvatore Carlucci, 2023. "Learning from the Past: The Impacts of Economic Crises on Energy Poverty Mortality and Rural Vulnerability," Energies, MDPI, vol. 16(13), pages 1-13, July.
    9. Linxiu Zhang & Yongqing Dong & Chengfang Liu & Yunli Bai, 2018. "Off-farm employment over the past four decades in rural China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(2), pages 190-214, May.
    10. Chenchen Ren & Xinyue Zhou & Chen Wang & Yaolin Guo & Yu Diao & Sisi Shen & Stefan Reis & Wanyue Li & Jianming Xu & Baojing Gu, 2023. "Ageing threatens sustainability of smallholder farming in China," Nature, Nature, vol. 616(7955), pages 96-103, April.
    11. WANG, Sophie Xuefei & Yu Benjamin, FU, 2019. "Labor mobility barriers and rural-urban migration in transitional China," China Economic Review, Elsevier, vol. 53(C), pages 211-224.
    12. Acheampong, Alex O. & Shahbaz, Muhammad & Dzator, Janet & Jiao, Zhilun, 2022. "Effects of income inequality and governance on energy poverty alleviation: Implications for sustainable development policy," Utilities Policy, Elsevier, vol. 78(C).
    13. Danny Miller & Isabelle Le Breton-Miller, 2017. "Underdog Entrepreneurs: A Model of Challenge–Based Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 41(1), pages 7-17, January.
    14. Kwan, Fung & Zhang, Yang & Zhuo, Shuaihe, 2018. "Labour reallocation, productivity growth and dualism: The case of China," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 198-210.
    15. Linxiu Zhang & Yongqing Dong & Chengfang Liu & Yunli Bai, 2018. "Off-farm employment over the past four decades in rural China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(2), pages 190-214, May.
    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. Ben Cheikh, Nidhaleddine & Ben Zaied, Younes & Nguyen, Duc Khuong, 2023. "Understanding energy poverty drivers in Europe," Energy Policy, Elsevier, vol. 183(C).
    2. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    3. Chung‐Hua Shen & Hsing‐Hua Hsu, 2022. "The determinants of Asian banking crises—Application of the panel threshold logit model," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 248-277, March.
    4. Lionel Nesta & Elena Verdolini & Francesco Vona, 2018. "Threshold Policy Effects and Directed Technical Change in Energy Innovation," Documents de Travail de l'OFCE 2018-05, Observatoire Francais des Conjonctures Economiques (OFCE).
    5. Strikholm, Birgit & Teräsvirta, Timo, 2005. "Determining the Number of Regimes in a Threshold Autoregressive Model Using Smooth Transition Autoregressions," SSE/EFI Working Paper Series in Economics and Finance 578, Stockholm School of Economics, revised 11 Feb 2005.
    6. Xiao-Ying Dong & Qiying Ran & Yu Hao, 2019. "On the nonlinear relationship between energy consumption and economic development in China: new evidence from panel data threshold estimations," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1837-1857, July.
    7. Fabio Canova, 2004. "Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 49-77, February.
    8. Funke, Michael & Niebuhr, Annekatrin, 2005. "Threshold effects and regional economic growth--evidence from West Germany," Economic Modelling, Elsevier, vol. 22(1), pages 61-80, January.
    9. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    10. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2021. "Determinants of renewable energy consumption: Importance of democratic institutions," Renewable Energy, Elsevier, vol. 179(C), pages 75-83.
    11. Chang, Ting-Huan & Huang, Chien-Ming & Lee, Ming-Chih, 2009. "Threshold effect of the economic growth rate on the renewable energy development from a change in energy price: Evidence from OECD countries," Energy Policy, Elsevier, vol. 37(12), pages 5796-5802, December.
    12. Saafi Sami & Nouira Ridha, 2018. "Re-Examining the Relationship Between Export Upgrading and Economic Growth: Is there a Threshold Effect?," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 437-454.
    13. Huang, Jikun & Shi, Pengfei, 2023. "IFAD Research Series 90: Rural Transformation, Income Growth and Poverty Reduction by Province in China in the Past Four Decades," IFAD Research Series 335374, International Fund for Agricultural Development (IFAD).
    14. Chen, Ping-Yu & Chen, Chi-Chung & Chang, Chia-Lin, 2011. "Multiple Threshold Effects for Temperature and Mortality," MPRA Paper 35521, University Library of Munich, Germany.
    15. Mateev, Miroslav & Moudud-Ul-Huq, Syed & Sahyouni, Ahmad & Tariq, Muhammad Usman, 2022. "Capital regulation, competition and risk-taking: Policy implications for banking sector stability in the MENA region," Research in International Business and Finance, Elsevier, vol. 60(C).
    16. Sy-Hoa Ho & Jamel Saadaoui, 2022. "Bank credit and economic growth: A dynamic threshold panel model for ASEAN countries," International Economics, CEPII research center, issue 170, pages 115-128.
    17. Chong, Terence Tai Leung & Yan, Isabel K., 2014. "Estimating and Testing Threshold Regression Models with Multiple Threshold Variables," MPRA Paper 54732, University Library of Munich, Germany.
    18. Awoa, Paul Awoa & Efogo, Françoise Okah & Ondoa, Henri Atangana, 2023. "Oil dependence and entrepreneurship: Non-linear evidence," Economic Systems, Elsevier, vol. 47(1).
    19. Gao, Yanyan & Zang, Leizhen & Sun, Jun, 2018. "Does computer penetration increase farmers’ income? An empirical study from China," Telecommunications Policy, Elsevier, vol. 42(5), pages 345-360.
    20. Mehdi Hajamini & Mohammad Ali Falahi, 2014. "The nonlinear impact of government consumption expenditure on economic growth: Evidence from low and low-middle income countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-15, December.

    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:jeners:v:16:y:2023:i:21:p:7241-:d:1266748. 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.