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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7908527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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