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• W3135011092 startingPage "105191" @default.
• W3135011092 abstract "With scholars paying increasing attention to the environmental effects of energy poverty, further discussion on the energy poverty-CO 2 nexus is particularly useful for achieving carbon reduction targets from the perspective of energy poverty. Accordingly, this paper investigates the dynamic impact of energy poverty on CO 2 emissions in China. By proposing a new and comprehensive evaluation index, we assess the energy poverty levels in 30 Chinese provinces for the period 2002–2017. Then, we re-estimate the impact of energy poverty on CO 2 emissions using the system-generalized method of moments (SYS-GMM) method. We find that although significant differences exist in energy poverty across various regions in China, the country's total level of energy poverty displays a downward trend over the period 2002–2017. Furthermore, energy poverty can accelerate the growth of CO 2 emissions in China. In regions with high-level energy poverty, a bidirectional causal link exists between energy poverty and CO 2 emissions, while a unidirectional causality runs from energy poverty to CO 2 emissions in regions with low-level energy poverty. The findings of this paper, therefore, add to the existing literature and provide important policy implications for curbing CO 2 emissions. • Spatiotemporal characteristics of energy poverty in China are assessed. • The impact of energy poverty on carbon dioxide (CO 2 ) emissions is explored. • Energy poverty accelerates growth in CO 2 emissions in China. • The effect of energy poverty on CO 2 emissions is heterogeneous and asymmetric." @default.
• W3135011092 created "2021-03-15" @default.
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• W3135011092 date "2021-05-01" @default.
• W3135011092 modified "2023-10-18" @default.
• W3135011092 title "Assessing energy poverty and its effect on CO2 emissions: The case of China" @default.
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• W3135011092 cites W1998737852 @default.
• W3135011092 cites W2003089160 @default.
• W3135011092 cites W2010808248 @default.
• W3135011092 cites W2022875322 @default.
• W3135011092 cites W2023668736 @default.
• W3135011092 cites W2025610165 @default.
• W3135011092 cites W2027713446 @default.
• W3135011092 cites W2028868384 @default.
• W3135011092 cites W2035554302 @default.
• W3135011092 cites W2040471878 @default.
• W3135011092 cites W2040528227 @default.
• W3135011092 cites W2047591114 @default.
• W3135011092 cites W2067402622 @default.
• W3135011092 cites W2072988553 @default.
• W3135011092 cites W2075565378 @default.
• W3135011092 cites W2076833076 @default.
• W3135011092 cites W2077465822 @default.
• W3135011092 cites W2078199941 @default.
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• W3135011092 cites W2128453270 @default.
• W3135011092 cites W2137260024 @default.
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• W3135011092 cites W2602594557 @default.
• W3135011092 cites W2745480473 @default.
• W3135011092 cites W2762187238 @default.
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• W3135011092 cites W2789463441 @default.
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• W3135011092 cites W2804964779 @default.
• W3135011092 cites W2891623757 @default.
• W3135011092 cites W2897021486 @default.
• W3135011092 cites W2907213570 @default.
• W3135011092 cites W2909371544 @default.
• W3135011092 cites W2911869318 @default.
• W3135011092 cites W2939571112 @default.
• W3135011092 cites W2943426168 @default.
• W3135011092 cites W2944554649 @default.
• W3135011092 cites W2945471269 @default.
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• W3135011092 cites W2947787203 @default.
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• W3135011092 cites W2997524875 @default.
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• W3135011092 cites W3034293074 @default.
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• W3135011092 doi "https://doi.org/10.1016/j.eneco.2021.105191" @default.
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