2022
DOI: 10.1016/j.techfore.2022.121737
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Clean energy powers energy poverty alleviation: Evidence from Chinese micro-survey data

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Cited by 28 publications
(4 citation statements)
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“…Moreover, China continuously strengthens the reliability and stability of urban energy supply in the urbanization process, thereby addressing the energy needs of urban residents [ 109 ]. China also promotes clean energy, actively developing renewable energy, reducing dependence on traditional fossil fuels, and reducing competition for energy resources, which is conducive to improving energy inequality [ 110 ].…”
Section: Further Discussionmentioning
confidence: 99%
“…Moreover, China continuously strengthens the reliability and stability of urban energy supply in the urbanization process, thereby addressing the energy needs of urban residents [ 109 ]. China also promotes clean energy, actively developing renewable energy, reducing dependence on traditional fossil fuels, and reducing competition for energy resources, which is conducive to improving energy inequality [ 110 ].…”
Section: Further Discussionmentioning
confidence: 99%
“…According to a recent study conducted by Ref. [ 7 ] using the Probit Estimation model, implementing clean energy in households yields a range of benefits and long-term effects. These benefits include reducing energy poverty, improving health, increasing household income, and lowering medical expenses.…”
Section: Literature Reviewmentioning
confidence: 99%
“…By employing the subnational dataset of China, the lowcarbon energy transition can significantly lead to EP alleviation by increasing energy service and clean energy consumption [32]. Using 2012, 2014, 2016, and 2018 data from China Family Panel Studies (CFPS), Hong et al [33] empirically revealed that increasing clean energy consumption could reduce the chance of households suffering from EP. The rapid expansion of renewable energy industries could also help reduce reliance on fossil fuels and realize EP reduction [34].…”
Section: Literature Reviewmentioning
confidence: 99%