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Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City
Based on the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model, the impact factors of industrial carbon emission in Nanjing were considered as total population, industrial output value, labor productivity, industrialization rate, energy intensity, research and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222714/ https://www.ncbi.nlm.nih.gov/pubmed/35742414 http://dx.doi.org/10.3390/ijerph19127165 |
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author | Zhang, Zhicong Xie, Hao Zhang, Jubing Wang, Xinye Wei, Jiayu Quan, Xibin |
author_facet | Zhang, Zhicong Xie, Hao Zhang, Jubing Wang, Xinye Wei, Jiayu Quan, Xibin |
author_sort | Zhang, Zhicong |
collection | PubMed |
description | Based on the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model, the impact factors of industrial carbon emission in Nanjing were considered as total population, industrial output value, labor productivity, industrialization rate, energy intensity, research and development (R&D) intensity, and energy structure. Among them, the total population, industrial output value, labor productivity, and industrial energy structure played a role in promoting the increase of industrial carbon emissions in Nanjing, and the degree of influence weakened in turn. For every 1% change in these four factors, carbon emissions increased by 0.52%, 0.49%, 0.17% and 0.12%, respectively. The industrialization rate, R&D intensity, and energy intensity inhibited the increase of industrial carbon emissions, and the inhibiting effect weakened in turn. Every 1% change in these three factors inhibited the increase of industrial carbon emissions in Nanjing by 0.03%, 0.07%, and 0.02%, respectively. Then, taking the relevant data of industrial carbon emissions in Nanjing from 2006 to 2020 as a sample, the gray rolling prediction model with one variable and one first-order equation (GRPM (1,1)) forecast and scenario analysis is used to predict the industrial carbon emission in Nanjing under the influence of the pandemic from 2021 to 2030, and the three development scenarios were established as three levels of high-carbon, benchmark and low-carbon, It was concluded that Nanjing’s industrial carbon emissions in 2030 would be 229.95 million tons under the high-carbon development scenario, 226.92 million tons under the benchmark development scenario, and 220.91 million tons under the low-carbon development scenario. It can not only provide data reference for controlling industrial carbon emissions in the future but also provide policy suggestions and development routes for urban planning decision-makers. Finally, it is hoped that this provides a reference for other cities with similar development as Nanjing. |
format | Online Article Text |
id | pubmed-9222714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92227142022-06-24 Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City Zhang, Zhicong Xie, Hao Zhang, Jubing Wang, Xinye Wei, Jiayu Quan, Xibin Int J Environ Res Public Health Article Based on the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model, the impact factors of industrial carbon emission in Nanjing were considered as total population, industrial output value, labor productivity, industrialization rate, energy intensity, research and development (R&D) intensity, and energy structure. Among them, the total population, industrial output value, labor productivity, and industrial energy structure played a role in promoting the increase of industrial carbon emissions in Nanjing, and the degree of influence weakened in turn. For every 1% change in these four factors, carbon emissions increased by 0.52%, 0.49%, 0.17% and 0.12%, respectively. The industrialization rate, R&D intensity, and energy intensity inhibited the increase of industrial carbon emissions, and the inhibiting effect weakened in turn. Every 1% change in these three factors inhibited the increase of industrial carbon emissions in Nanjing by 0.03%, 0.07%, and 0.02%, respectively. Then, taking the relevant data of industrial carbon emissions in Nanjing from 2006 to 2020 as a sample, the gray rolling prediction model with one variable and one first-order equation (GRPM (1,1)) forecast and scenario analysis is used to predict the industrial carbon emission in Nanjing under the influence of the pandemic from 2021 to 2030, and the three development scenarios were established as three levels of high-carbon, benchmark and low-carbon, It was concluded that Nanjing’s industrial carbon emissions in 2030 would be 229.95 million tons under the high-carbon development scenario, 226.92 million tons under the benchmark development scenario, and 220.91 million tons under the low-carbon development scenario. It can not only provide data reference for controlling industrial carbon emissions in the future but also provide policy suggestions and development routes for urban planning decision-makers. Finally, it is hoped that this provides a reference for other cities with similar development as Nanjing. MDPI 2022-06-10 /pmc/articles/PMC9222714/ /pubmed/35742414 http://dx.doi.org/10.3390/ijerph19127165 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Zhicong Xie, Hao Zhang, Jubing Wang, Xinye Wei, Jiayu Quan, Xibin Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City |
title | Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City |
title_full | Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City |
title_fullStr | Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City |
title_full_unstemmed | Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City |
title_short | Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City |
title_sort | prediction and trend analysis of regional industrial carbon emission in china: a study of nanjing city |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222714/ https://www.ncbi.nlm.nih.gov/pubmed/35742414 http://dx.doi.org/10.3390/ijerph19127165 |
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