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Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities

The excessive emission of carbon dioxide will bring unpredictable ecological crisis, so it is particularly urgent to study the related factors of carbon emissions. Based on the grey correlation model, 31 factors in 5 aspects are selected as the reference frame for low-carbon governance, and the grey...

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Autor principal: Min, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484910/
https://www.ncbi.nlm.nih.gov/pubmed/36133167
http://dx.doi.org/10.1155/2022/2029087
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author Min, Li
author_facet Min, Li
author_sort Min, Li
collection PubMed
description The excessive emission of carbon dioxide will bring unpredictable ecological crisis, so it is particularly urgent to study the related factors of carbon emissions. Based on the grey correlation model, 31 factors in 5 aspects are selected as the reference frame for low-carbon governance, and the grey correlation degree of urban carbon emissions is calculated by using the IPCC method to calculate the annual carbon emissions of 9 major cities in the Yangtze River Delta from 2010 to 2019. Through the calculation and analysis of panel data, the following conclusions are drawn: The allocation of urban environmental practitioners is an important factor in carbon governance, and the reasonable and scientific allocation of environmental practitioners can have a significant impact on low-carbon development; the relationship between the amount of industrial power consumption and carbon dioxide emissions is not significant. On the contrary, the power consumption of urban residents can well reflect the level of carbon emissions. High residential power consumption means that the living standard of the people in the region is high, and the corresponding resource and energy consumption is large, so the carbon emissions will increase; the size of population density is particularly important for carbon governance, which is more obvious in economically developed areas. Urban economic development will inevitably lead to the improvement of people's quality of life, a stronger demand for resources, and a significant increase in carbon emissions.
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spelling pubmed-94849102022-09-20 Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities Min, Li J Environ Public Health Research Article The excessive emission of carbon dioxide will bring unpredictable ecological crisis, so it is particularly urgent to study the related factors of carbon emissions. Based on the grey correlation model, 31 factors in 5 aspects are selected as the reference frame for low-carbon governance, and the grey correlation degree of urban carbon emissions is calculated by using the IPCC method to calculate the annual carbon emissions of 9 major cities in the Yangtze River Delta from 2010 to 2019. Through the calculation and analysis of panel data, the following conclusions are drawn: The allocation of urban environmental practitioners is an important factor in carbon governance, and the reasonable and scientific allocation of environmental practitioners can have a significant impact on low-carbon development; the relationship between the amount of industrial power consumption and carbon dioxide emissions is not significant. On the contrary, the power consumption of urban residents can well reflect the level of carbon emissions. High residential power consumption means that the living standard of the people in the region is high, and the corresponding resource and energy consumption is large, so the carbon emissions will increase; the size of population density is particularly important for carbon governance, which is more obvious in economically developed areas. Urban economic development will inevitably lead to the improvement of people's quality of life, a stronger demand for resources, and a significant increase in carbon emissions. Hindawi 2022-09-12 /pmc/articles/PMC9484910/ /pubmed/36133167 http://dx.doi.org/10.1155/2022/2029087 Text en Copyright © 2022 Li Min. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Min, Li
Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities
title Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities
title_full Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities
title_fullStr Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities
title_full_unstemmed Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities
title_short Grey Correlation Analysis of Low-Carbon Governance in Yangtze River Delta Cities
title_sort grey correlation analysis of low-carbon governance in yangtze river delta cities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484910/
https://www.ncbi.nlm.nih.gov/pubmed/36133167
http://dx.doi.org/10.1155/2022/2029087
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