scholarly journals Fiscal Decentralization and Environmental Pollution: A Spatial Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Xia Chen ◽  
Jianmin Liu
Keyword(s):  
Environmental Pollution ◽  
Environmental Regulation ◽  
Fiscal Decentralization ◽  
Pollution Index ◽  
Annual Data ◽  
Weighting Matrix ◽  
Economic Distance ◽  
Distance Weighting ◽  
Fiscal Revenue ◽  
The Impact

Based on annual data over the period 2003 to 2017 covering 31 provinces in China, the environmental pollution index and environmental regulation index are constructed. Moran’s I, the widely used spatial autocorrelation index, is used to analyze the spatial distribution of environmental pollution, which provides a fairly high stability of the positive spatial correlation of environmental pollution. Then, the 0-1 matrix, distance weighting matrix, and economic distance mixed matrix are carried out to weigh space separately. To analyze the impact of fiscal decentralization on environmental pollution, the spatial Durbin model is employed. In the meanwhile, fiscal decentralization is measured from the perspective of both fiscal expenditure decentralization and fiscal revenue decentralization. The results show that the impact of fiscal decentralization on environmental pollution is positive and appears the phenomenon of “race to bottom.” To improve environmental quality, appropriate environmental regulation target, implementing green GDP accounting, and adjusting economic structure should be adopted.

scholarly journals Fiscal Decentralization and Local Environmental Pollution in China

2020 ◽  
Vol 17 (22) ◽  
pp. 8661
Author(s):  
Shufen Guo ◽  
Ludi Wen ◽  
Yanrui Wu ◽  
Xiaohang Yue ◽  
Guilian Fan
Keyword(s):  
Environmental Pollution ◽  
Local Governments ◽  
Central Government ◽  
Fiscal Decentralization ◽  
Role Of Government ◽  
Environment Management ◽  
Environmental Preference ◽  
Fiscal Revenue ◽  
The Impact

Fiscal decentralization is one of the tools for the central government to engage local governments in environment management. However, its effects are inconclusive. This paper aims to examine the impact of fiscal decentralization on environmental pollution and the role of government environmental preference in China’s provinces. The results show that fiscal revenue decentralization exacerbates local environmental pollution more seriously than expenditure decentralization. This negative environmental effect of fiscal decentralization could be moderated by government environmental preference. Based on our findings, it is recommended that China’s local governments should improve environmental preference so that fiscal decentralization can create a win–win situation for the economy and environment. Furthermore, the different effects of fiscal revenue and expenditure decentralization create a necessity for differentiated management of fiscal decentralization by the central and local governments.

scholarly journals Impacts of Foreign Direct Investment and Industrial Structure Transformation on Haze Pollution across China

2021 ◽  
Vol 13 (10) ◽  
pp. 5439
Author(s):  
Chenggang Li ◽  
Tao Lin ◽  
Zhenci Xu ◽  
Yuzhu Chen
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Direct Investment ◽  
Industrial Structure ◽  
Spatial Data Analysis ◽  
Annual Data ◽  
Eastern Region ◽  
Structure Transformation ◽  
Haze Pollution ◽  
The Impact

With the development of economic globalization, some local environmental pollution has become a global environmental problem through international trade and transnational investment. This paper selects the annual data of 30 provinces in China from 2000 to 2017 and adopts exploratory spatial data analysis methods to explore the spatial agglomeration characteristics of haze pollution in China’s provinces. Furthermore, this paper constructs a spatial econometric model to test the impact of foreign direct investment (FDI) and industrial structure transformation on haze pollution. The research results show that the high-high concentration area of haze pollution in China has shifted from the central and western regions to the eastern region and from inland regions to coastal regions. When FDI increases by 1%, haze pollution in local and neighboring areas will be reduced by 0.066% and 0.3538%, respectively. However, the impact of FDI on haze pollution is heterogeneous in different stages of economic development. FDI can improve the rationalization level of industrial structure, and then inhibit the haze pollution. However, FDI inhibits the upgrading level of industrial structure to a certain extent, and then aggravates the haze pollution. The research in this paper provides an important decision-making basis for coordinating the relationship between FDI and environmental pollution and realizing green development.

scholarly journals Research on the Nonlinear Impact of Environmental Regulation on the Efficiency of China’s Regional Green Economy: Insights from the PSTR Model

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Shuangliang Yao ◽  
Xiang Su
Keyword(s):  
Environmental Pollution ◽  
Environmental Regulation ◽  
Economic Efficiency ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Resource Depletion ◽  
Green Economy ◽  
Eastern Region ◽  
Regional Production ◽  
The Impact

This paper uses the super-efficiency SBM model to measure the green economic efficiency considering undesired output and analyzes the spatial distribution difference of green economic efficiency; secondly, the nonlinear panel threshold model is used to empirically study the nonlinear relationship between environmental regulations and green economic efficiency, and further analyzed the threshold effect of environmental regulations on the efficiency of green economy and concluded as follows. (1) The green economy efficiency index in the eastern region is mostly more significant than 1, and the green economy efficiency in most provinces in the eastern region has improved. These provinces have higher regional production levels and less environmental pollution. The green economy efficiency of the central region is second only to the eastern region. The green economy efficiency of provinces in the western region except Chongqing is less than 1, indicating that these provinces have insufficient regional production, severe environmental pollution, or extensive resource depletion. (2) The impact of environmental regulations on the efficiency of the green economy presents an inverted “U” shape, with a threshold of 0.5128 for environmental regulations. The impact of the industrial structure on the efficiency of the green economy changes from inhibition to promotion after crossing the threshold of the intensity of environmental regulation, and the degree of opening to the outside world has a complementary effect on the efficiency of the green economy. The impact of urbanization on the efficiency of the green economy changes from promotion to suppression after surpassing the threshold of the intensity of environmental regulations.

scholarly journals Statistical Analysis on the Effect of the Utilization of Mineral Resources on the Environmental Impact in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8462
Author(s):  
Wenqi Zhu ◽  
Kangkang Zhang ◽  
Deyi Xu ◽  
Ziyuan Liu ◽  
Jingke Gao
Keyword(s):  
Environmental Pollution ◽  
Environmental Regulation ◽  
Pollution Control ◽  
Technological Progress ◽  
Industrial Structure ◽  
Mineral Resources ◽  
Spatial Econometric ◽  
Synergistic Mechanism ◽  
Technological Level ◽  
The Impact

Based on the spatial econometric model, this paper mainly studies the impact of the utilization of mineral resources on environmental pollution and the impact of environmental regulation on the utilization of mineral resources in 30 provincial regions from 2003 to 2016, and analyzes the impact mechanism of heterogeneity and synergy. The results show that the utilization of mineral resources intensifies the degree of environmental pollution and the degree of economic spatial agglomeration, while environmental regulation can effectively restrain the utilization of mineral resources in the region and the near adjacent areas. Through the analysis results of synergistic mechanism, it can be seen that the improvement of industrial structure alleviates the impact of the utilization of mineral resources on environmental pollution and the restraining effect of environmental regulation on it. The improvement of technological progress has improved the environmental pollution caused by the utilization of mineral resources in this area, but intensified the environmental pollution degree of the utilization of mineral resources in neighboring areas. In the current technological level, the neighboring areas will consume more mineral resources to meet a certain demand, thus aggravating the environmental pollution of the utilization of mineral resources in the neighboring areas. The enhanced intensity of government management significantly improves the pollution control efficiency of environmental regulation on the utilization of mineral resources.

scholarly journals Research on the impact of informal environmental regulation on investment of environmental pollution-Based on the perspective of public supervision

2021 ◽  
Vol 275 ◽  
pp. 01076
Author(s):  
Yuxin Zhang ◽  
Chenghao Sun
Keyword(s):  
Regression Model ◽  
Environmental Pollution ◽  
Environmental Regulation ◽  
Regression Result ◽  
Quality Development ◽  
High Quality ◽  
Environmental Investment ◽  
The Impact ◽  
Environmental Participation

Based on provincial data from 2010 to 2015, this paper uses regression model to analyze the impact of informal environmental regulation on investment of environmental pollution. The regression result shows that informal environmental regulation can significantly promote environmental investment of environmental pollution. Therefore, it is necessary to improve the mechanism of citizens’ environmental participation and strengthen environmental relative investment, ultimately promoting high-quality development.

scholarly journals Statistical Analysis of Environmental Pollution Impact on Population Morbidity in the Republic of Mari El

2020 ◽  
Vol 17 (3) ◽  
pp. 58-66
Author(s):  
P. A. Korotkov ◽  
A. B. Trubyanov ◽  
A. A. Avdeeva ◽  
A. I. Gismieva
Keyword(s):  
Public Health ◽  
Panel Data ◽  
Environmental Pollution ◽  
Correlation Coefficients ◽  
Pollution Index ◽  
Morbidity Rate ◽  
Effect Model ◽  
The Republic ◽  
The Impact ◽  
First Time

The article considers an econometric approach to the analysis of relation between the population morbidity rate depending on ecology and the environmental pollution index. Panel data are used in this approach.The purpose is to find quantitative relations between the state of the environment and public health under the differentiated man-caused load threatening public health in the Republic of Mari El. Materials and methods. The research methods are based on the approaches to correlation and regression analysis of the panel data. In order to identify the environmental pollution index statistically related to the morbidity rate, Pearson and Spearman's correlation coefficients were calculated. Then the regression models for the panel data were developed: a fixed-effect model and a random-effect model. The sources of the panel data are the following: Regional Statistics Office in the Mari El Republic (Maristat), Office of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing in the Mari El Republic (Rospotrebnadzor) and Ministry of Healthcare of the Mari El Republic. The data include six air and water pollution indexes and seven priority indicators of the population morbidity rate in 15 municipal districts of the Mari El Republic in the period of 2009–2017.Results. The analysis of the Pearson and Spearman's correlation coefficients helped to identify environmental pollution indexes closely related to the population morbidity rate. These indicators were used as input data of the panel regression model. Three statistically significant panel regression models were identified. They describe the impact of pollution of drinking water from the distributed network on bronchial asthma morbidity among 0–14-aged children diagnosed for the first time in their life; and the impact of emission into the atmosphere of pollutants from the point emission sources on gastritis and duodenitis morbidity among 15–17 aged teenagers diagnosed for the first time in their life.Conclusion. The identified models have biological plausibility. The ethiopathogenetic analysis confirms the possibility of existence of the identified relations. The statistically significant relations between environmental pollution and public health do not prove existence of cause-and-effect links between them. It is statistical demonstration of the hypothesis of their possible existence. This demonstration is an essential work stage to make the hypothesis a hard fact. In the future, it is proposed to use additional, more objective and integral evaluation of environmental quality, for example, the fluctuating asymmetry of bilateral features of biological objects.

scholarly journals Nonlinear Effects of Environmental Regulation on Environmental Pollution

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yuncai Liu ◽  
Nengsheng Luo ◽  
Shusheng Wu
Keyword(s):  
Environmental Pollution ◽  
Environmental Regulation ◽  
Fiscal Decentralization ◽  
Nonlinear Effects ◽  
Theoretical Hypothesis ◽  
Optimal Intensity ◽  
Secondary Industry ◽  
Spatial Autoregressive ◽  
The Government ◽  
Shape Curve

This paper classifies environmental regulation into two types and constructs a theoretical framework to explore the influences of fee-based environmental regulation and invest-based environmental regulation on environmental pollution. It then establishes some dynamic spatial autoregressive nonlinear econometric models to test the theoretical hypothesis based on 30-area panel data from 2004 to 2016. The results illustrate that inverted “U” shape curve relationship exists between fee-based environmental regulation and environmental pollution, while a “U” shape curve relationship between invest-based environmental regulation and environmental pollution exists. In addition, the findings suggest that improving the proportion of secondary industry can directly promote the environmental quality while effectively control of foreign direct investment and fiscal decentralization is also indispensable. Thus, the government should make targeted research about the optimal intensity of fee-based environmental regulation and invest-based environmental regulation and make targeted enterprise policy for the environmental pollution reduce, which contains promoting the energy revolution and strengthening the depth and strength of opening-up step by step.

scholarly journals The Impact of Tourism Quality on Economic Development and Environment: Evidence from Mediterranean Countries

2019 ◽  
Vol 11 (8) ◽  
pp. 2296 ◽  
Author(s):  
Ren Taizeng ◽  
Muhlis Can ◽  
Sudharshan Reddy Paramati ◽  
Jianchun Fang ◽  
Wanshan Wu
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Environmental Pollution ◽  
Negative Impact ◽  
Positive Impact ◽  
Income Level ◽  
Tourism Industry ◽  
Annual Data ◽  
Mediterranean Countries ◽  
The Impact

This paper is the first of its kind to measure the income level of a country’s tourist arrival and empirically examine its impact on economic growth and environmental pollution in a sample of eight Mediterranean countries. The paper undertakes annual data from 1995 to 2014 and employs quantile regression models, autoregressive distributed lag (ARDL) estimations, and a heterogeneity causality test. The empirical results show that the income level of a country’s tourist arrival, across all quantiles, plays an important role in promoting economic development. However, the role of the income level of a country’s tourist arrival on environmental pollution varies with the changes in quantiles. More specifically, income level of a country’s tourist arrival has a positive impact on environmental pollution for the lower quantiles, while it has a negative impact for higher quantiles. The findings from panel ARDL models confirm that the income level of a country’s tourist arrival has positive and negative impacts on economic growth and emissions, respectively. Given these results, these findings provide information to take the necessary actions to ensure sustainable tourism development, i.e., the expansion of the tourism industry without harming the environment in the Mediterranean countries.

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