The Relationship between Environmental Regulations and Green Economic Efficiency

A Study Based on the Provinces in China

Bibliographic Data

ID15465472
AuthorsGongli Luo (Shandong University of Science and Technology), Xiaotong Wang (0000-0002-8689-7060, Shandong University of Science and Technology), Lu Wang (0000-0002-9250-3988, Shandong University of Science and Technology, corresponding author), Yanlu Guo (0000-0002-5766-863X, Shandong University of Science and Technology)
Year2021
Volume18
Issue3
Pages889-889
Publication date2021-01-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18030889
PMID33498587
OpenAlexW3122060538
LanguageEN
Citations received3
References cited36

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

China · Econometrics · Gee · Generalized estimating equation · Geography · Middle East · Sociology · Statistics · Tobit model · Demography · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Mathematics

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