2021
DOI: 10.1016/j.jclepro.2021.127668
|View full text |Cite
|
Sign up to set email alerts
|

Strategic interaction of environmental regulation and its influencing mechanism: Evidence of spatial effects among Chinese cities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 25 publications
(7 citation statements)
references
References 30 publications
0
7
0
Order By: Relevance
“…Central East (2) the spatial spillover effects of FD and GTI on air pollution From the results of Model 1 in Table 8 (columns 2, 4, and 6), it can be concluded that: (a) In the central and western regions, the spatial spillover effect of FD on air pollution was significant at the 1% confidence level, and when the degree of FD in neighboring provinces increased by one unit, the local air quality deteriorated by 1.496 and 0.471, respectively. This may be due to the onlyeconomic-growth development orientation and the "bottom competition" among provinces in the central and western regions [49,50]. That is to say, the improvement in FD gives local governments a more relaxed institutional environment, which makes them neglect environmental pollution control to stimulate regional economic development.…”
Section: Westmentioning
confidence: 99%
“…Central East (2) the spatial spillover effects of FD and GTI on air pollution From the results of Model 1 in Table 8 (columns 2, 4, and 6), it can be concluded that: (a) In the central and western regions, the spatial spillover effect of FD on air pollution was significant at the 1% confidence level, and when the degree of FD in neighboring provinces increased by one unit, the local air quality deteriorated by 1.496 and 0.471, respectively. This may be due to the onlyeconomic-growth development orientation and the "bottom competition" among provinces in the central and western regions [49,50]. That is to say, the improvement in FD gives local governments a more relaxed institutional environment, which makes them neglect environmental pollution control to stimulate regional economic development.…”
Section: Westmentioning
confidence: 99%
“…This study comprehensively considers the factors that possibly affect green innovation, and uses the following variables to assure the explanatory power of the regression mode. Education level (EL): this study uses the ratio of the number of people with a high school degree to the total population to measure the education level (Deng et al, 2012); Freight volume (FV): The logarithm of total freight volume of railway, highway, and waterway is used to measure the freight volume (Wu et al, 2021); Trade openness (TO): this study uses the logarithm of the import and export volume to measure the openness level (Cai et al, 2016); Economy development level (EDL): the logarithm of GDP per capita is used to measure the economic development level (Peng, 2020); Urbanization rate (UR): the rate of urban population to total population is employed to evaluate the urbanization rate (Song et al, 2021).…”
Section: (4) Control Variablementioning
confidence: 99%
“…Although these studies are innovative compared with prior studies, they are still based on the Porter hypothesis and emphasize the role of local ER, and ignore how to solve environmental governance dilemmas through the way of strategic synergy under the context of significant regional policy differences. A few studies have constructed the combination framework of the Porter hypothesis and Pollution haven hypothesis to analyze the strategic interaction types of localneighborhood ER, such as Peng (2020), Song et al (2021), and Wu et al (2021), but such studies not further explored the heterogeneous impact of different interaction types on the firm's green activities.…”
Section: Introductionmentioning
confidence: 99%
“…Argue that investor sentiment has heterogeneity effects on the different kinds of enterprise innovation. Wu et al (2021) state that the economic policy uncertainty (EPU) exerts negative effects on enterprise innovation through investor sentiment. Argue that the investor sentiment has moderating role on the environmental news and green industry stocks.…”
Section: Environmental Regulation Sentiment and Eco-innovationmentioning
confidence: 99%
“…Du et al (2021) find the heterogenous effects of environmental regulation on the green transformation of different types of Chinese cities. Based on the regional differences of environmental regulation on eco-innovation through the sentiment, the related studies argue that the environmental regulation has significant strategic interaction between different regions, for example, Wu et al (2021) state that that the strategic interaction of urban environmental regulations in China's central and western regions is significant. Zhou et al (2021) find that the environmental regulation has significant spatial spillover effects on urban innovation.…”
Section: Spatial Spillover Effects Of Environmental Regulationmentioning
confidence: 99%