2023
DOI: 10.1016/j.jclepro.2022.135342
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Reduced carbon footprint inequality in China: Evidence from latest household survey data

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Cited by 15 publications
(4 citation statements)
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“…The difference in consumption structure and pattern among income groups will lead to carbon footprint heterogeneity. 91 Most studies have found that the carbon footprints generated by low-income groups with large populations were much lower than those of high-income groups with small populations. For example, based on the research investigated by Hubacek et al, 92 the top 10% of global income earners were responsible for 36−45% of carbon footprints, while the bottom 50% of income earners caused only 13−15%.…”
Section: Income Carbon Equitymentioning
confidence: 99%
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“…The difference in consumption structure and pattern among income groups will lead to carbon footprint heterogeneity. 91 Most studies have found that the carbon footprints generated by low-income groups with large populations were much lower than those of high-income groups with small populations. For example, based on the research investigated by Hubacek et al, 92 the top 10% of global income earners were responsible for 36−45% of carbon footprints, while the bottom 50% of income earners caused only 13−15%.…”
Section: Income Carbon Equitymentioning
confidence: 99%
“…Carbon footprints have been increasingly applied to measure the effects of global warming and climate change. The difference in consumption structure and pattern among income groups will lead to carbon footprint heterogeneity . Most studies have found that the carbon footprints generated by low-income groups with large populations were much lower than those of high-income groups with small populations.…”
Section: Income Carbon Equitymentioning
confidence: 99%
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“…Event study analysis in the literature typically examines abnormal changes in stock returns in response to corporate announcements (Dos Santos, Peffers & Mauer, 1993;Çavuşoğlu, Mishra & Raghunatran, 2004;Norden & Weber, 2004;Capron & Shen, 2007;Flammer, 2013;Ardia, Bluteau & Boudt, 2022;Ali, Jia, Lou & Xie, 2023;Li, Wang, Jia, Chen & Meng, 2023;Rudkin & Cai, 2023). More recently, studies have investigated the changes in stock prices due to shocks such as Covid-19 (Bento et al, 2020;Maneenop & Kotcharin, 2020;Varma, Venkataramani, Kayal & Maiti, 2021;Thukral, Singh, Ghosh & Pant, 2022;Mohammed, 2023).…”
Section: Theoretical Frameworkmentioning
confidence: 99%