Open Access
Issue
E3S Web Conf.
Volume 643, 2025
2025 7th International Conference on Environmental Sciences and Renewable Energy (ESRE 2025)
Article Number 04002
Number of page(s) 16
Section Energy Policy and Sustainable Transition
DOI https://doi.org/10.1051/e3sconf/202564304002
Published online 29 August 2025
  1. Acharya, R.H., Sadath, A.C., 2019. Energy poverty and economic development: Household-level evidence from India. Energy and Buildings 183, 785–791. https://doi.org/10.1016/j.enbuild.2018.11.047 [Google Scholar]
  2. Adusah-Poku, F., Takeuchi, K., 2019. Energy poverty in Ghana: Any progress so far? Renewable and Sustainable Energy Reviews 112, 853–864. https://doi.org/10.1016/j.rser.2019.06.038 [CrossRef] [Google Scholar]
  3. Awaworyi Churchill, S., Smyth, R., 2021. Energy poverty and health: Panel data evidence from Australia. Energy Economics 97, 105219. https://doi.org/10.1016/j.eneco.2021.105219 [Google Scholar]
  4. Bonatz, N., Guo, R., Wu, W., Liu, L., 2019. A comparative study of the interlinkages between energy poverty and low carbon development in China and Germany by developing an energy poverty index. Energy and Buildings 183, 817–831. https://doi.org/10.1016/j.enbuild.2018.09.042 [Google Scholar]
  5. Charlier, D., Legendre, B., Risch, A., 2019a. Fuel poverty in residential housing: providing financial support versus combatting substandard housing. Applied Economics 51, 5369–5387. https://doi.org/10.1080/00036846.2019.1613501 [Google Scholar]
  6. Che, X., Zhu, B., Wang, P., 2021. Assessing global energy poverty: An integrated approach. Energy Policy 149, 112099. https://doi.org/10.1016/j.enpol.2020.112099 [Google Scholar]
  7. Chen, J., Gao, M., Cheng, S., Hou, W., Song, M., Liu, X., Liu, Y., Shan, Y., 2020. County-level CO2 emissions and sequestration in China during 1997–2017. Scientific Data 7, 391. https://doi.org/10.1038/s41597-020-00736-3 [Google Scholar]
  8. Dong, K., Ren, X., Zhao, J., 2021. How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis. Energy Economics 103, 105620. https://doi.org/10.1016/j.eneco.2021.105620 [Google Scholar]
  9. Drescher, K., Janzen, B., 2021. Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data. Energy Economics 102, 105433. https://doi.org/10.1016/j.eneco.2021.105433 [Google Scholar]
  10. Grossman, G.M.; Krueger, A.B., 1991. Environmental Impacts of a North American Free Trade Agreement; Working Paper No. 3914; National Bureau of Economikc Research: Cambridge, MA, USA. [Google Scholar]
  11. Grossman, G.M., Krueger, A.B., 1995. Economic Growth and the Environment*. The Quarterly Journal of Economics 110, 353–377. https://doi.org/10.2307/2118443 [CrossRef] [Google Scholar]
  12. Jalil, A., Feridun, M., 2011. The impact of growth, energy and financial development on the environment in China: A cointegration analysis. Energy Economics 33, 284–291. https://doi.org/10.1016/j.eneco.2010.10.003 [Google Scholar]
  13. Li, W., Chien, F., Hsu, C.-C., Zhang, Y., Nawaz, M.A., Iqbal, S., Mohsin, M., 2021. Nexus between energy poverty and energy efficiency: Estimating the long-run dynamics. Resources Policy 72, 102063. https://doi.org/10.1016/j.resourpol.2021.102063 [Google Scholar]
  14. Liu, H., Pei, Y., 2017. An Empirical Test of the Environmental Kuznets Curve of China’s Haze Pollution. Statistical Research, 34(3): 45–54. [Google Scholar]
  15. Liu, C., Sun, Z., Zhang, J., 2019. Research on the effect of carbon emission reduction policy in China’s carbon emissions trading pilot. China Population, Resources and Environment, Vol.29, No. 11. 49–58. [Google Scholar]
  16. Liu, Z., Deng, M., Cui, Z., Cao, Hui., 2020. Impact of Energy Poverty on the Welfare of Residents and Its Mechanism: An Analysis Based on CGSS Data, China soft science magazine, Iss. 08. [Google Scholar]
  17. Ma, R., Deng, L., Ji, Q., Zhai, P., 2022. Environmental regulations, clean energy access, and household energy poverty: Evidence from China. Technological Forecasting and Social Change 182, 121862. https://doi.org/10.1016/j.techfore.2022.121862 [Google Scholar]
  18. Middlemiss, L., Ambrosio-Albalá, P., Emmel, N., Gillard, R., Gilbertson, J., Hargreaves, T., Mullen, C., Ryan, T., Snell, C., Tod, A., 2019. Energy poverty and social relations: A capabilities approach. Energy Research & Social Science 55, 227–235. https://doi.org/10.1016/j.erss.2019.05.002 [Google Scholar]
  19. Nussbaumer, P., Bazilian, M., Modi, V., 2012. Measuring energy poverty: Focusing on what matters. Renewable and Sustainable Energy Reviews 16, 231–243. https://doi.org/10.1016/j.rser.2011.07.150 [Google Scholar]
  20. Okushima, S., 2017. Gauging energy poverty: A multidimensional approach. Energy 137, 1159–1166. https://doi.org/10.1016/j.energy.2017.05.137 [Google Scholar]
  21. Okushima, S., 2016. Measuring energy poverty in Japan, 2004–2013. Energy Policy 98, 557–564. https://doi.org/10.1016/j.enpol.2016.09.005 [Google Scholar]
  22. Oliveras, L., Peralta, A., Palència, L., Gotsens, M., López, M.J., Artazcoz, L., Borrell, C., Marí-Dell’Olmo, M., 2021. Energy poverty and health: Trends in the European Union before and during the economic crisis, 2007–2016. Health & Place 67, 102294. https://doi.org/10.1016/j.healthplace.2020.102294 [Google Scholar]
  23. Panayotou, T., 1993. Empirical Tests and Policy Analysis of Environmental Degradation at Different Stages of Economic Development; Working Paper No. 238; ILO: Geneva, Switzerland, 1993. [Google Scholar]
  24. Papada, L., Kaliampakos, D., 2018. A Stochastic Model for energy poverty analysis. Energy Policy 116, 153–164. https://doi.org/10.1016/j.enpol.2018.02.004 [Google Scholar]
  25. Ren, Y., Fu, J., 2019. Research on the Effect of Carbon Emissions Trading on Emission Reduction and Green Development. China Population, Resources and Environment, 29(5):11–20. [Google Scholar]
  26. Reyes, R., Schueftan, A., Ruiz, C., González, A.D., 2019. Controlling air pollution in a context of high energy poverty levels in southern Chile: Clean air but colder houses? Energy Policy 124, 301–311. https://doi.org/10.1016/j.enpol.2018.10.022 [Google Scholar]
  27. Simionescu, M., 2021. Revised environmental Kuznets Curve in CEE countries. Evidence from panel threshold models for economic sectors. Environmental Science and Pollution Research 28, 60881–60899. https://doi.org/10.1007/s11356-021-14905-3 [Google Scholar]
  28. Ullah, S., Khan, M., Yoon, S.-M., 2021. Measuring Energy Poverty and Its Impact on Economic Growth in Pakistan. Sustainability 13. https://doi.org/10.3390/su131910969 [Google Scholar]
  29. Villalobos, C., Chávez, C., Uribe, A., 2021. Energy poverty measures and the identification of the energy poor: A comparison between the utilitarian and capability-based approaches in Chile. Energy Policy 152, 112146. https://doi.org/10.1016/j.enpol.2021.112146 [Google Scholar]
  30. Wang, Y., Yang, H., Sun, R., 2020. Effectiveness of China’s provincial industrial carbon emission reduction and optimization of carbon emission reduction paths in “lagging regions”: Efficiency-cost analysis. Journal of Environmental Management 275, 111221. https://doi.org/10.1016/j.jenvman.2020.111221 [Google Scholar]
  31. Wu, W., Zeng, W., Gong, S., Chen, Z., 2021. Does Energy Poverty Reduce Rural Labor Wages? Evidence From China’s Rural Household Survey. Frontiers in Energy Research Volume 9-2021. [Google Scholar]
  32. Xie, L., Zhou, Z., Hui, S., 2022. Does environmental regulation improve the structure of power generation technology? Evidence from China’s pilot policy on the carbon emissions trading market(CETM). Technological Forecasting and Social Change 176, 121428. https://doi.org/10.1016/j.techfore.2021.121428 [Google Scholar]
  33. Yu, X., Chen, H., Li, Y., 2021. Impact of Carbon Emission Trading Mechanism on Carbon Performance based on Synthetic Control Method. China Population. Resources and Environment, 2021, 31(4):51–61. [Google Scholar]
  34. Yu, Z., Khan, S.A.R., Ponce, P., Lopes de Sousa Jabbour, A.B., Chiappetta Jabbour, C.J., 2022a. Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals. Technological Forecasting and Social Change 176, 121417. https://doi.org/10.1016/j.techfore.2021.121417 [Google Scholar]
  35. Yu, Z., Khan, S.A.R., Ponce, P., Lopes de Sousa Jabbour, A.B., Chiappetta Jabbour, C.J., 2022b. Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals. Technological Forecasting and Social Change 176, 121417. https://doi.org/10.1016/j.techfore.2021.121417 [Google Scholar]
  36. Zhang, D., Li, J., Han, P., 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 131, 72–81. https://doi.org/10.1016/j.enpol.2019.04.037 [Google Scholar]
  37. Zhang, X., Shen, M., Luan, Y., Cui, W., Lin, X., 2022. Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China. International Journal of Environmental Research and Public Health 19. https://doi.org/10.3390/ijerph191811227 [Google Scholar]
  38. Zhao, J., Jiang, Q., Dong, X., Dong, K., 2021. Assessing energy poverty and its effect on CO2 emissions: The case of China. Energy Economics 97, 105191. https://doi.org/10.1016/j.eneco.2021.105191 [Google Scholar]

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