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Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China
The freight transport industry is an important field in which to achieve the goal of carbon emission reduction within the transportation industry. Analyzing the spatial–temporal characteristics and regional differences in the freight transport industry’s carbon emissions efficiency (CEE) is an essen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163528/ https://www.ncbi.nlm.nih.gov/pubmed/35657550 http://dx.doi.org/10.1007/s11356-022-21101-4 |
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author | Zhao, Xiyang Wang, Jianwei Fu, Xin Zheng, Wenlong Li, Xiuping Gao, Chao |
author_facet | Zhao, Xiyang Wang, Jianwei Fu, Xin Zheng, Wenlong Li, Xiuping Gao, Chao |
author_sort | Zhao, Xiyang |
collection | PubMed |
description | The freight transport industry is an important field in which to achieve the goal of carbon emission reduction within the transportation industry. Analyzing the spatial–temporal characteristics and regional differences in the freight transport industry’s carbon emissions efficiency (CEE) is an essential prerequisite for developing a reasonable regional carbon abatement policy. However, few studies have conducted an in-depth analysis of the freight transport industry’s CEE from the perspective of geographic space. This study combines the super-efficiency slack-based measure (SBM) model and the window analysis model to measure the freight transport industry’s CEE in 31 Chinese provinces from 2008 to 2019. We then introduced a spatial autocorrelation analysis and the Theil index to analyze the spatial–temporal evolution characteristics and regional differences in the freight transport industry’s CEE in China. The results show that (1) the overall level of the freight transport industry’s CEE is low, with an average of 0.534, which showed a weak downward trend during the study period. This indicates that the freight industry’s CEE has not improved, and there is a massive requirement for energy conservation and emission reduction. (2) From 2008 to 2019, CEE gradually shows a spatial distribution pattern of being “low in the west and high in the east,” with a significant, positive spatial correlation (all passed the significance level test at P < 0.01). This indicates that the spatial diffusion and inhibition of the freight transport industry’s CEE in adjacent areas cannot be ignored. (3) The overall differences in the freight transport industry’s CEE show a fluctuating upward trend from 2008 to 2019. The inter-regional differences of the three regions (east, central, and west) are the main contributors of the total differences. Therefore, narrowing inter-regional gaps in CEE is one of the main ways to improve the freight transport industry’s CEE. |
format | Online Article Text |
id | pubmed-9163528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91635282022-06-04 Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China Zhao, Xiyang Wang, Jianwei Fu, Xin Zheng, Wenlong Li, Xiuping Gao, Chao Environ Sci Pollut Res Int Research Article The freight transport industry is an important field in which to achieve the goal of carbon emission reduction within the transportation industry. Analyzing the spatial–temporal characteristics and regional differences in the freight transport industry’s carbon emissions efficiency (CEE) is an essential prerequisite for developing a reasonable regional carbon abatement policy. However, few studies have conducted an in-depth analysis of the freight transport industry’s CEE from the perspective of geographic space. This study combines the super-efficiency slack-based measure (SBM) model and the window analysis model to measure the freight transport industry’s CEE in 31 Chinese provinces from 2008 to 2019. We then introduced a spatial autocorrelation analysis and the Theil index to analyze the spatial–temporal evolution characteristics and regional differences in the freight transport industry’s CEE in China. The results show that (1) the overall level of the freight transport industry’s CEE is low, with an average of 0.534, which showed a weak downward trend during the study period. This indicates that the freight industry’s CEE has not improved, and there is a massive requirement for energy conservation and emission reduction. (2) From 2008 to 2019, CEE gradually shows a spatial distribution pattern of being “low in the west and high in the east,” with a significant, positive spatial correlation (all passed the significance level test at P < 0.01). This indicates that the spatial diffusion and inhibition of the freight transport industry’s CEE in adjacent areas cannot be ignored. (3) The overall differences in the freight transport industry’s CEE show a fluctuating upward trend from 2008 to 2019. The inter-regional differences of the three regions (east, central, and west) are the main contributors of the total differences. Therefore, narrowing inter-regional gaps in CEE is one of the main ways to improve the freight transport industry’s CEE. Springer Berlin Heidelberg 2022-06-03 2022 /pmc/articles/PMC9163528/ /pubmed/35657550 http://dx.doi.org/10.1007/s11356-022-21101-4 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Zhao, Xiyang Wang, Jianwei Fu, Xin Zheng, Wenlong Li, Xiuping Gao, Chao Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China |
title | Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China |
title_full | Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China |
title_fullStr | Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China |
title_full_unstemmed | Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China |
title_short | Spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in China |
title_sort | spatial–temporal characteristics and regional differences of the freight transport industry’s carbon emission efficiency in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163528/ https://www.ncbi.nlm.nih.gov/pubmed/35657550 http://dx.doi.org/10.1007/s11356-022-21101-4 |
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