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Green-production transitions and hazardous industrial discharge: A regional case study from China

Green production, which reduces hazardous industrial discharges per unit output, is promoted throughout China. The Environmental Kuznets Curve suggests a negative correlation between hazardous industrial discharge and economic growth due to green innovation. This study expanded the EKC framework by...

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Autor principal: Hou, Jianing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450345/
https://www.ncbi.nlm.nih.gov/pubmed/36703513
http://dx.doi.org/10.1177/00368504231152747
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author Hou, Jianing
author_facet Hou, Jianing
author_sort Hou, Jianing
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description Green production, which reduces hazardous industrial discharges per unit output, is promoted throughout China. The Environmental Kuznets Curve suggests a negative correlation between hazardous industrial discharge and economic growth due to green innovation. This study expanded the EKC framework by including heterogeneity in evaluating the relationship between hazardous industrial discharges and economic growth to reflect green transformation. Administrative ranking disparity is identified as one of the fundamental driving forces of green production transition in a developing country. Building on an enriched EKC framework, we used a spatial estimation model to exclude spatial effects and obtained accurate estimates of the classified regions. The modified research method was used to examine whether industrial pollution has been reduced in 267 cities and towns in China from 2007 to 2021. Environmental protection performance was examined to estimate whether there is a switch to green manufacturing. As industrial hazards are of different types, the author sought to determine whether there was a decrease in industrial sulphur dioxide emissions, wastewater, solid waste, or dust, even though more industrial hazards were recycled than before. The spatial estimates indicated that (a) the national level of pollution remains positively linked with the total output, and every percentage of output growth increases sulphur dioxide emissions by 444.573 tons; (b) a positive relationship between economic growth and wastewater is altered by environmental protection in cities, while the general decoupling between economic growth and other types of industrial pollution, such as solid waste and industrial dust, was not observed; (c) growth in the southeast was decoupled from sulphur emissions, and its sulphur dioxide production per unit of output increased to 0.021 tons. Sulphur dioxide emissions per unit of economic growth along the southeast coast were 379. 048 tons, which was well below the overall average of 444.573 tons. High-income towns along the southeast coast have achieved clean production breakthroughs, realising a 15% reduction in industrial sulphur dioxide emissions by 2021. Although there were signs of a shift toward clean manufacturing in high administrative ranking cities, most regions of China are transitioning to environmentally friendly manufacturing and suffer from the hardships of green production transformation.
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spelling pubmed-104503452023-08-26 Green-production transitions and hazardous industrial discharge: A regional case study from China Hou, Jianing Sci Prog Applying Artificial Intelligence Techniques to Encourage Economic Growth and Maintain Sustainable Societies Green production, which reduces hazardous industrial discharges per unit output, is promoted throughout China. The Environmental Kuznets Curve suggests a negative correlation between hazardous industrial discharge and economic growth due to green innovation. This study expanded the EKC framework by including heterogeneity in evaluating the relationship between hazardous industrial discharges and economic growth to reflect green transformation. Administrative ranking disparity is identified as one of the fundamental driving forces of green production transition in a developing country. Building on an enriched EKC framework, we used a spatial estimation model to exclude spatial effects and obtained accurate estimates of the classified regions. The modified research method was used to examine whether industrial pollution has been reduced in 267 cities and towns in China from 2007 to 2021. Environmental protection performance was examined to estimate whether there is a switch to green manufacturing. As industrial hazards are of different types, the author sought to determine whether there was a decrease in industrial sulphur dioxide emissions, wastewater, solid waste, or dust, even though more industrial hazards were recycled than before. The spatial estimates indicated that (a) the national level of pollution remains positively linked with the total output, and every percentage of output growth increases sulphur dioxide emissions by 444.573 tons; (b) a positive relationship between economic growth and wastewater is altered by environmental protection in cities, while the general decoupling between economic growth and other types of industrial pollution, such as solid waste and industrial dust, was not observed; (c) growth in the southeast was decoupled from sulphur emissions, and its sulphur dioxide production per unit of output increased to 0.021 tons. Sulphur dioxide emissions per unit of economic growth along the southeast coast were 379. 048 tons, which was well below the overall average of 444.573 tons. High-income towns along the southeast coast have achieved clean production breakthroughs, realising a 15% reduction in industrial sulphur dioxide emissions by 2021. Although there were signs of a shift toward clean manufacturing in high administrative ranking cities, most regions of China are transitioning to environmentally friendly manufacturing and suffer from the hardships of green production transformation. SAGE Publications 2023-01-26 /pmc/articles/PMC10450345/ /pubmed/36703513 http://dx.doi.org/10.1177/00368504231152747 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Applying Artificial Intelligence Techniques to Encourage Economic Growth and Maintain Sustainable Societies
Hou, Jianing
Green-production transitions and hazardous industrial discharge: A regional case study from China
title Green-production transitions and hazardous industrial discharge: A regional case study from China
title_full Green-production transitions and hazardous industrial discharge: A regional case study from China
title_fullStr Green-production transitions and hazardous industrial discharge: A regional case study from China
title_full_unstemmed Green-production transitions and hazardous industrial discharge: A regional case study from China
title_short Green-production transitions and hazardous industrial discharge: A regional case study from China
title_sort green-production transitions and hazardous industrial discharge: a regional case study from china
topic Applying Artificial Intelligence Techniques to Encourage Economic Growth and Maintain Sustainable Societies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450345/
https://www.ncbi.nlm.nih.gov/pubmed/36703513
http://dx.doi.org/10.1177/00368504231152747
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