The Impact of energy poverty on the digital divide: The mediating effect of depression and Internet perception

Citations

Cited by:

1. 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).
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12. Liu, Tifeng & Shi, Guoqing & Gu, Fei & Xu, Junzhuo, 2025. "Empirical research on the acceptance of digital finance and consumption patterns among middle-aged and elderly people in rural areas: The impact mechanism of life satisfaction and income level," Finance Research Letters, Elsevier, vol. 79(C).
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16. Wang, Xiong & Yang, Wanping & Ren, Xiaohang & Lu, Zudi, 2023. "Can financial inclusion affect energy poverty in China? Evidence from a spatial econometric analysis," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 255-269.
17. Arkadiusz Piwowar, 2022. "Energy Poverty as a Current Problem in the Light of Economic and Social Challenges," Energies, MDPI, vol. 15(22), pages 1-9, November.
18. 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).
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