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The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China

This study examined the relationship between environmental regulations (ER) and green economic efficiency (GEE) based on the panel data of 30 provinces in China from 2008 to 2017. Firstly, GEE was calculated and evaluated using the super-efficiency SBM model with undesirable outputs. Secondly, the i...

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Autores principales: Luo, Gongli, Wang, Xiaotong, Wang, Lu, Guo, Yanlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908527/
https://www.ncbi.nlm.nih.gov/pubmed/33498587
http://dx.doi.org/10.3390/ijerph18030889
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author Luo, Gongli
Wang, Xiaotong
Wang, Lu
Guo, Yanlu
author_facet Luo, Gongli
Wang, Xiaotong
Wang, Lu
Guo, Yanlu
author_sort Luo, Gongli
collection PubMed
description This study examined the relationship between environmental regulations (ER) and green economic efficiency (GEE) based on the panel data of 30 provinces in China from 2008 to 2017. Firstly, GEE was calculated and evaluated using the super-efficiency SBM model with undesirable outputs. Secondly, the impact of ER on GEE was studied with the Tobit model. Finally, this article draws conclusions based on the above analysis and offers some suggestions for government and enterprise. The results show that the GEE of China is generally low. The GEE of the eastern region is much higher than that of the middle and western regions, with the western region performing slightly better than the middle. From west to east, there is a V shape, with high efficiency in the west and east and low efficiency in the middle. The impact of ER on GEE has the characteristics of nonlinearity and spatial heterogeneity. At the national level, as well as in the middle and western regions, the impact of ER on GEE shows an inverted U shape that first rises and then falls. ER are currently within the range conducive to the development of GEE. If the intensity of ER exceeds the critical value, they will have a negative impact on GEE. In the eastern region, the impact of ER on GEE is shown as a U shape that first falls and then rises. At present, the ER are not of sufficient intensity to contribute to the improvement of GEE. Only when the intensity of the ER exceeds the critical value will they have a positive influence on the GEE.
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spelling pubmed-79085272021-02-27 The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China Luo, Gongli Wang, Xiaotong Wang, Lu Guo, Yanlu Int J Environ Res Public Health Article This study examined the relationship between environmental regulations (ER) and green economic efficiency (GEE) based on the panel data of 30 provinces in China from 2008 to 2017. Firstly, GEE was calculated and evaluated using the super-efficiency SBM model with undesirable outputs. Secondly, the impact of ER on GEE was studied with the Tobit model. Finally, this article draws conclusions based on the above analysis and offers some suggestions for government and enterprise. The results show that the GEE of China is generally low. The GEE of the eastern region is much higher than that of the middle and western regions, with the western region performing slightly better than the middle. From west to east, there is a V shape, with high efficiency in the west and east and low efficiency in the middle. The impact of ER on GEE has the characteristics of nonlinearity and spatial heterogeneity. At the national level, as well as in the middle and western regions, the impact of ER on GEE shows an inverted U shape that first rises and then falls. ER are currently within the range conducive to the development of GEE. If the intensity of ER exceeds the critical value, they will have a negative impact on GEE. In the eastern region, the impact of ER on GEE is shown as a U shape that first falls and then rises. At present, the ER are not of sufficient intensity to contribute to the improvement of GEE. Only when the intensity of the ER exceeds the critical value will they have a positive influence on the GEE. MDPI 2021-01-20 2021-02 /pmc/articles/PMC7908527/ /pubmed/33498587 http://dx.doi.org/10.3390/ijerph18030889 Text en © 2021 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
Luo, Gongli
Wang, Xiaotong
Wang, Lu
Guo, Yanlu
The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China
title The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China
title_full The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China
title_fullStr The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China
title_full_unstemmed The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China
title_short The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China
title_sort relationship between environmental regulations and green economic efficiency: a study based on the provinces in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908527/
https://www.ncbi.nlm.nih.gov/pubmed/33498587
http://dx.doi.org/10.3390/ijerph18030889
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