Effects of public participation on environmental governance in China: A spatial Durbin econometric analysis

Ge, Tao; Hao, Xionglei; Li, Jinye

doi:10.1016/j.jclepro.2021.129042

Cited by 61 publications

(32 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Otherwise, there is a negative spatial correlation between variables. The closer I is to 1, the greater the absolute value of global Moran's I and the stronger the spatial correlation ( 40 , 55 ). Geographic distance is an essential factor affecting the frequency of economic ties.…”

Section: Methodsmentioning

confidence: 99%

“…Geographic distance is an essential factor affecting the frequency of economic ties. Therefore, referring to the common practices of previous scholars ( 14 , 40 ), we use a geographical distance weight matrix (W 1 ) to estimate the spatial effect, and the robustness test is performed using an economic matrix (W 2 ) and an adjacency matrix (W 3 ).…”

Section: Methodsmentioning

confidence: 99%

“…Environmental pollution has negative externalities. With the increase of public participation in geographically adjacent areas, the local environmental quality can be improved ( 40 ).…”

Section: Theoretical Analysis and Hypothesismentioning

confidence: 99%

See 2 more Smart Citations

Impact Mechanism of New Urbanization on Environmental Pollution: Empirical Analysis Based on Spatial Panel Model

Zhang

Cai

2022

Front. Public Health

View full text Add to dashboard Cite

Traditional urbanization has stimulated economic growth. Meanwhile, it has damaged the natural environment. China has initiated new urbanization to resolve this dilemma. This paper aims to clarify the relationship between new urbanization and environmental pollution and prove new urbanization's superiority in containing environmental pollution. Thus, this paper adopts the static and dynamic spatial Durbin and mediating effect models to estimate the environmental pollution control mechanism of the new urbanization, using the panel data collected from 285 prefecture-level cities in China from 2003 to 2018. Findings show that: (1) Environmental pollution has time inertia and spatial spillover effect. The degree of pollution in an area is related to the environmental quality in the earlier stage and the surrounding areas. (2) The role of new urbanization in containing environmental pollution can take effect in the long run. In the short term, population urbanization can restrain the environmental pollution of both local and surrounding cities. (3) Heterogeneity analysis shows that the higher the level of environmental pollution, the greater the impact of new urbanization on environmental pollution. (4) Mediating effect test shows that technological effect and industrial structure upgrading are two important channels for new urbanization to reduce environmental pollution. (5) Threshold effect test shows that the inhibition effect of new urbanization on environmental pollution is gradually enhanced after crossing the threshold.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Impact Mechanism of New Urbanization on Environmental Pollution: Empirical Analysis Based on Spatial Panel Model

Zhang

Cai

2022

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…This environmental governance model has achieved sound governance effects in the short term. However, due to the lack of adequate public participation [21], there continue to be some problems in environmental governance. For example, there are still problems with transparency and public participation principles [22].…”

Section: Environmental Information Disclosurementioning

confidence: 99%

The Impact of Environmental Information Disclosure on Environmental Governance Satisfaction

Yang

Shen

et al. 2022

Sustainability

View full text Add to dashboard Cite

Recently, environmental information disclosure has increasingly become a popular rural environmental governance policy. Environmental governance satisfaction can reflect the government’s policy effect, and it is also residents’ subjective evaluation of environmental quality. This paper uses field questionnaire data in rural areas and establishes an ordered logit model to study the relationship between environmental information disclosure and residents’ satisfaction. The empirical results show that rural environmental information disclosure has a significant positive impact on residents’ satisfaction with environmental governance. Further research found that the impact process occurred through the mediating variable of residents’ evaluation of the surrounding ecological environment. In addition, residents’ knowledge of environmental protection has a moderating effect on the relationship between environmental information disclosure and satisfaction. Therefore, in rural environmental governance, local governments can increase environmental information disclosure to improve residents’ satisfaction and participation.

show abstract

“…Hong et al (2020) conclude that industrial agglomeration could decrease pollution. Li J. et al (2021) reveal the link between high-tech industrial agglomeration and Green Total Factor Productivity (GTFP) and argue that industrial agglomeration is positively correlated with GTFP. Other academic researchers also verify that the impact of industrial agglomeration is not monotonous by adding quadratic and cubic terms into the model.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of Industrial Agglomeration and Energy Intensity on Industrial Eco-Efficiency-Analysis Based on Spatial Correlation and Mediating Effect

Zhong

Hamzah

Yin

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

As a measuring tool of industrial sustainable development, industrial eco-efficiency works as a link between economic benefit and environmental pressure. Industrial agglomeration and energy have always been considered an important influence factor on industrial eco-efficiency. The Chinese government is facing the challenge of reaching a Carbon Peak by the 2060s, within this context, it is critically important to explore the relationship between industrial agglomeration and industrial eco-efficiency, moreover, energy intensity may play a key role between them, which should not be ignored. Therefore, based on the STIRPAT model, this paper constructs a spatial autocorrelation model (SAC model) to analyze the provincial panel dataset from 2009 to 2018, and it is found that: First, the industrial agglomeration has an inverted N-shaped relationship with industrial eco-efficiency, and industrial eco-efficiency indeed have a positive spatial spillover effect. Second, energy intensity plays a mediating role, industrial agglomeration would affect industrial eco-efficiency through energy intensity. Therefore, it is suggested that the government should introduce differentiated industrial agglomeration policies as well as energy-saving policies. In addition, this paper suggests that policymakers should adhere to consistent industrial sustainable development policies.

show abstract

Effects of public participation on environmental governance in China: A spatial Durbin econometric analysis

Cited by 61 publications

References 55 publications

Impact Mechanism of New Urbanization on Environmental Pollution: Empirical Analysis Based on Spatial Panel Model

Impact Mechanism of New Urbanization on Environmental Pollution: Empirical Analysis Based on Spatial Panel Model

The Impact of Environmental Information Disclosure on Environmental Governance Satisfaction

Impacts of Industrial Agglomeration and Energy Intensity on Industrial Eco-Efficiency-Analysis Based on Spatial Correlation and Mediating Effect

Contact Info

Product

Resources

About