Carbon emission inequality and fairness from energy consumption by prefecture-level cities in China
This paper focuses on the conceptualization and quantification of carbon emission inequality and fairness from energy consumption. In order to more accurately measure the carbon emissions generated by electricity consumption in each city, we firstly propose a new method for calculating the carbon em...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23015066 |
| _version_ | 1797386753270611968 |
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| author | Hou Jianchao Wan Minghua Song Malin |
| author_facet | Hou Jianchao Wan Minghua Song Malin |
| author_sort | Hou Jianchao |
| collection | DOAJ |
| description | This paper focuses on the conceptualization and quantification of carbon emission inequality and fairness from energy consumption. In order to more accurately measure the carbon emissions generated by electricity consumption in each city, we firstly propose a new method for calculating the carbon emission factor for electricity, and calculates the carbon emissions from energy consumption in 282 prefecture-level cities in China from 2003 to 2019. Through the application of the Theil-Kaya decomposition mechanism and the improved Atkinson index, we conducted an in-depth study of the carbon emission inequality and fairness indicators from energy consumption. The results show that (1) Although China's overall inequality has declined, it remains significant in the western region, with its inequality indicator fluctuating from 0.548 in 2003 to 0.683 in 2019.(2) The decomposition of the drivers of inequality indicators shows that the contribution of GDP per capita to inequality is increasingly being replaced by energy intensity and the energy carbon emission factor, with energy intensity emerging as the main driver, contributing more than 40% to inequality in 2019, both overall and in the three regions.(3) The results for the fairness indicator, on the other hand, show a certain degree of divergence. Further Dynamic Time Warping fitting analysis shows that regardless of how the public's sensitivity to carbon emissions varies, the change trends of the fairness and inequality indicators for carbon emissions in the eastern region show a high degree of convergence, even in the two most extreme cases. The fit is poorest in the western region, but improves significantly if public's sensitivity to carbon emissions increases. (4)To sum up, some policies that are consistent with the context of the times, such as the East-West regional counterparts and the construction of a new type of power system, are worthy of priority consideration by the Government. |
| first_indexed | 2024-03-08T22:14:55Z |
| format | Article |
| id | doaj.art-13faf983345f45ff86c80ed02563ef52 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-08T22:14:55Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-13faf983345f45ff86c80ed02563ef522023-12-19T04:16:48ZengElsevierEcological Indicators1470-160X2024-01-01158111364Carbon emission inequality and fairness from energy consumption by prefecture-level cities in ChinaHou Jianchao0Wan Minghua1Song Malin2College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China; Corresponding author at: Shanghai University of Electric Power, College of Economics and Management, Zhecheng, Henan Province, China.College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, ChinaSchool of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu 233030, ChinaThis paper focuses on the conceptualization and quantification of carbon emission inequality and fairness from energy consumption. In order to more accurately measure the carbon emissions generated by electricity consumption in each city, we firstly propose a new method for calculating the carbon emission factor for electricity, and calculates the carbon emissions from energy consumption in 282 prefecture-level cities in China from 2003 to 2019. Through the application of the Theil-Kaya decomposition mechanism and the improved Atkinson index, we conducted an in-depth study of the carbon emission inequality and fairness indicators from energy consumption. The results show that (1) Although China's overall inequality has declined, it remains significant in the western region, with its inequality indicator fluctuating from 0.548 in 2003 to 0.683 in 2019.(2) The decomposition of the drivers of inequality indicators shows that the contribution of GDP per capita to inequality is increasingly being replaced by energy intensity and the energy carbon emission factor, with energy intensity emerging as the main driver, contributing more than 40% to inequality in 2019, both overall and in the three regions.(3) The results for the fairness indicator, on the other hand, show a certain degree of divergence. Further Dynamic Time Warping fitting analysis shows that regardless of how the public's sensitivity to carbon emissions varies, the change trends of the fairness and inequality indicators for carbon emissions in the eastern region show a high degree of convergence, even in the two most extreme cases. The fit is poorest in the western region, but improves significantly if public's sensitivity to carbon emissions increases. (4)To sum up, some policies that are consistent with the context of the times, such as the East-West regional counterparts and the construction of a new type of power system, are worthy of priority consideration by the Government.http://www.sciencedirect.com/science/article/pii/S1470160X23015066Carbon emissionsSustainable developmentTheil indexAtkinson index |
| spellingShingle | Hou Jianchao Wan Minghua Song Malin Carbon emission inequality and fairness from energy consumption by prefecture-level cities in China Ecological Indicators Carbon emissions Sustainable development Theil index Atkinson index |
| title | Carbon emission inequality and fairness from energy consumption by prefecture-level cities in China |
| title_full | Carbon emission inequality and fairness from energy consumption by prefecture-level cities in China |
| title_fullStr | Carbon emission inequality and fairness from energy consumption by prefecture-level cities in China |
| title_full_unstemmed | Carbon emission inequality and fairness from energy consumption by prefecture-level cities in China |
| title_short | Carbon emission inequality and fairness from energy consumption by prefecture-level cities in China |
| title_sort | carbon emission inequality and fairness from energy consumption by prefecture level cities in china |
| topic | Carbon emissions Sustainable development Theil index Atkinson index |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23015066 |
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