Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese cities
Improving carbon emission efficiency and reducing carbon emissions is crucial to achieving the goal of carbon neutrality and carbon peak. This paper focuses on 278 cities in China from 2000 to 2017, and uses the undesired output SBM model to measure the carbon emission efficiency of each city. The r...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1119914/full |
| _version_ | 1797822339828678656 |
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| author | Hui Huang Zhaoxi Wei Qingru Ge Qingjie Guo |
| author_facet | Hui Huang Zhaoxi Wei Qingru Ge Qingjie Guo |
| author_sort | Hui Huang |
| collection | DOAJ |
| description | Improving carbon emission efficiency and reducing carbon emissions is crucial to achieving the goal of carbon neutrality and carbon peak. This paper focuses on 278 cities in China from 2000 to 2017, and uses the undesired output SBM model to measure the carbon emission efficiency of each city. The results showed that during the research period the average carbon emission efficiency of China gradually dropped from 0.6 to 0.5. After classifying the carbon emission efficiency of each city. The number of cities in 2005 belonging to high-efficiency areas decreased by 11.76% compared with 2000. From 2005 to 2010, the number of cities in the medium-low-efficiency areas and low-efficiency areas increased from 122 to 143. It is found that the spatial-temporal evolution of carbon emission efficiency, on the whole follows a certain evolution law and has spatial auto-correlation. In addition, the spatial Durbin model model is selected to explore the influencing factors of urban carbon emission efficiency. The findings demonstrate that optimizing the quality of urban development, improving the ability of scientific, and technological innovation, grasping government intervention, and encouraging the introduction of high-quality foreign capital will play a positive role in improving the low efficiency of carbon emissions in cities. |
| first_indexed | 2024-03-13T10:06:33Z |
| format | Article |
| id | doaj.art-802ee464fe5d4e7c9c917b142fa2b13d |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-03-13T10:06:33Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-802ee464fe5d4e7c9c917b142fa2b13d2023-05-22T11:41:51ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-03-011110.3389/fenvs.2023.11199141119914Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese citiesHui Huang0Zhaoxi Wei1Qingru Ge2Qingjie Guo3School of Management, China University of Mining and Technology-Beijing, Beijing, ChinaSchool of Management, China University of Mining and Technology-Beijing, Beijing, ChinaChina Huaxing Group Co., Ltd., Beijing, ChinaState Key Laboratory of High-Efficiency Utilization of Coal and Green Chemical Engineering, Ningxia, ChinaImproving carbon emission efficiency and reducing carbon emissions is crucial to achieving the goal of carbon neutrality and carbon peak. This paper focuses on 278 cities in China from 2000 to 2017, and uses the undesired output SBM model to measure the carbon emission efficiency of each city. The results showed that during the research period the average carbon emission efficiency of China gradually dropped from 0.6 to 0.5. After classifying the carbon emission efficiency of each city. The number of cities in 2005 belonging to high-efficiency areas decreased by 11.76% compared with 2000. From 2005 to 2010, the number of cities in the medium-low-efficiency areas and low-efficiency areas increased from 122 to 143. It is found that the spatial-temporal evolution of carbon emission efficiency, on the whole follows a certain evolution law and has spatial auto-correlation. In addition, the spatial Durbin model model is selected to explore the influencing factors of urban carbon emission efficiency. The findings demonstrate that optimizing the quality of urban development, improving the ability of scientific, and technological innovation, grasping government intervention, and encouraging the introduction of high-quality foreign capital will play a positive role in improving the low efficiency of carbon emissions in cities.https://www.frontiersin.org/articles/10.3389/fenvs.2023.1119914/fullcarbon emission efficiencysuper-efficient SBM modelspatial autocorrelationspatial durbin modelenvironment |
| spellingShingle | Hui Huang Zhaoxi Wei Qingru Ge Qingjie Guo Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese cities Frontiers in Environmental Science carbon emission efficiency super-efficient SBM model spatial autocorrelation spatial durbin model environment |
| title | Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese cities |
| title_full | Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese cities |
| title_fullStr | Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese cities |
| title_full_unstemmed | Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese cities |
| title_short | Analysis of spatial-temporal evolution and influencing factors of carbon emission efficiency in Chinese cities |
| title_sort | analysis of spatial temporal evolution and influencing factors of carbon emission efficiency in chinese cities |
| topic | carbon emission efficiency super-efficient SBM model spatial autocorrelation spatial durbin model environment |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1119914/full |
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