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Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China
The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agri...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590076/ https://www.ncbi.nlm.nih.gov/pubmed/33081313 http://dx.doi.org/10.3390/ijerph17207541 |
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author | Pang, Jiaxing Li, Hengji Lu, Chengpeng Lu, Chenyu Chen, Xingpeng |
author_facet | Pang, Jiaxing Li, Hengji Lu, Chengpeng Lu, Chenyu Chen, Xingpeng |
author_sort | Pang, Jiaxing |
collection | PubMed |
description | The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agriculture production from 1991 to 2018 through the Theil index and spatial data analysis. The results are shown as follows: The overall differences in carbon emission intensity of agriculture production presents a slightly enlarging trend, while the inter-regional differences in carbon emissions intensity is decreasing, but the intra-regional difference of carbon emissions intensity presented an expanding trend. The difference in carbon emission intensity between the eastern and central regions is not obvious, and the difference in carbon emission intensity in the western region shows a fluctuating and increasing trend. The overall differences caused by intra-regional differences; the average annual contribution of intra-regional differences is 67.84%, of which the average annual contribution of western region differences is 64.24%. The carbon emission intensity of agricultural production in China shows a downward trend, with provinces with high carbon emission intensity remaining stable, while provinces with low intensity are expanding. The Global Moran’s I index indicates that China’s carbon emission intensity of agricultural production shows a clear trend of spatial aggregation. The agglomeration trend of high agricultural carbon emission remains stable, and the overall pattern of agricultural carbon emission intensity shows a pattern of increasing differentiation from east to west. |
format | Online Article Text |
id | pubmed-7590076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75900762020-10-29 Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China Pang, Jiaxing Li, Hengji Lu, Chengpeng Lu, Chenyu Chen, Xingpeng Int J Environ Res Public Health Article The study of the carbon emission intensity of agricultural production is of great significance for the formulation of a rational agricultural carbon reduction policy. This paper examines the regional differences, spatial–temporal pattern and dynamic evolution of the carbon emission intensity of agriculture production from 1991 to 2018 through the Theil index and spatial data analysis. The results are shown as follows: The overall differences in carbon emission intensity of agriculture production presents a slightly enlarging trend, while the inter-regional differences in carbon emissions intensity is decreasing, but the intra-regional difference of carbon emissions intensity presented an expanding trend. The difference in carbon emission intensity between the eastern and central regions is not obvious, and the difference in carbon emission intensity in the western region shows a fluctuating and increasing trend. The overall differences caused by intra-regional differences; the average annual contribution of intra-regional differences is 67.84%, of which the average annual contribution of western region differences is 64.24%. The carbon emission intensity of agricultural production in China shows a downward trend, with provinces with high carbon emission intensity remaining stable, while provinces with low intensity are expanding. The Global Moran’s I index indicates that China’s carbon emission intensity of agricultural production shows a clear trend of spatial aggregation. The agglomeration trend of high agricultural carbon emission remains stable, and the overall pattern of agricultural carbon emission intensity shows a pattern of increasing differentiation from east to west. MDPI 2020-10-16 2020-10 /pmc/articles/PMC7590076/ /pubmed/33081313 http://dx.doi.org/10.3390/ijerph17207541 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pang, Jiaxing Li, Hengji Lu, Chengpeng Lu, Chenyu Chen, Xingpeng Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China |
title | Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China |
title_full | Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China |
title_fullStr | Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China |
title_full_unstemmed | Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China |
title_short | Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China |
title_sort | regional differences and dynamic evolution of carbon emission intensity of agriculture production in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590076/ https://www.ncbi.nlm.nih.gov/pubmed/33081313 http://dx.doi.org/10.3390/ijerph17207541 |
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