The spatial spillover effects of green finance on ecological environment—empirical research based on spatial econometric model

2020 ◽  
Author(s):  
Chenggang Li ◽  
Yong Gan
Keyword(s):  
Empirical Research ◽  
Econometric Model ◽  
Spillover Effects ◽  
Ecological Environment ◽  
Spatial Econometric ◽  
Spatial Spillover ◽  
Green Finance ◽  
Spatial Econometric Model ◽  
Spatial Spillover Effects

scholarly journals Spatio-Temporal Variation of Health Production Efficiency Considering Environmental Pollution in China Based on Modified EBM and Spatial Econometric Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Fan Liu ◽  
Gen Li ◽  
Ying Zhou ◽  
Yinghui Ma ◽  
Tao Wang
Keyword(s):  
Temporal Variation ◽  
Production Efficiency ◽  
Econometric Model ◽  
Spillover Effects ◽  
Eastern Region ◽  
Health Production ◽  
Spatial Econometric ◽  
Average Efficiency ◽  
Spatial Econometric Model ◽  
Spatio Temporal

In order to strengthen the construction of China's health industry and improve the health of the people, based on the data of 31 provinces and cities in China from 2009 to 2019, the improved EBM model is used to measure the health production efficiency of each region, and Moran index is used to study the Spatio-temporal variation of health production efficiency of each province. Finally, the spatial econometric model is applied to study the influencing factors of the Spatio-temporal variation of health production efficiency. The results show that generally speaking, the average efficiency of 31 provinces and cities is above 0.7, and the average efficiency of some regions is above 1. From the perspective of time variation, the average efficiency value in the eastern region and the middle region increases from 0.816 to 0.882 and from 0.851 to 0.861, respectively. However, the average efficiency value in the western region and northeast region decreases from 0.861 to 0.83 and from 0.864 to 0.805, respectively. From the perspective of spatial distribution, HH agglomeration and LL agglomeration exist in most regions. By comparing Moran scatter plots in 2009 and 2019, it is found that the quadrants of most regions remain unchanged, and LL agglomeration is the main agglomeration type in local space. There is a significant spatial dependence among different regions. From the perspective of spatial empirical results, Pgdp, Med, and Pd have a positive effect on health production efficiency. The direct effect and indirect effect of Pgdp, Med, and Gov all pass the significance test of 1%, indicating that there are spatial spillover effects of the three indicators. Each region should reasonably deal with the spillover effect of surrounding regions, vigorously develop economic activities, carry out cooperation with surrounding regions and apply demonstration effect to accelerate the development of overall health production.

Influence of environmental regulations on China’s tourism competitiveness

2019 ◽  
Vol 10 (3) ◽  
pp. 429-446
Author(s):  
Cong Peng ◽  
Peng Yuan
Keyword(s):  
Environmental Pollution ◽  
Environmental Regulation ◽  
Environmental Regulations ◽  
Tourism Development ◽  
Nonlinear Effects ◽  
Spillover Effects ◽  
Spatial Econometric ◽  
Content Type ◽  
Spatial Spillover ◽  
Spatial Spillover Effects

Purpose China intends to enhance its environmental regulations, which will affect many industries, because of the serious environmental pollution that the country faces. This study aims to investigate the influence of environmental regulations on China’s provincial tourism competitiveness. Design/methodology/approach A vertical-and-horizontal scatter degree method is used to construct provincial-level tourism competitiveness and environmental regulation indices in China. Thereafter, a spatial econometric model is established to empirically assess the influence of environmental regulations on China’s provincial tourism competitiveness and investigate the spatial spillover effects of environmental regulations. Findings Environmental regulations and China’s provincial tourism competitiveness exhibit a “U”-shaped relationship, mainly because of the indirect effects of environmental regulations (spatial spillover effects). The environmental regulation indices of the majority of the provinces have crossed the turning point. Thus, improving environmental regulations has a positive effect on tourism competitiveness. This effect mainly originates from the positive spatial spillover effects. Social implications Tourism development plays an important role in promoting economic growth. However, increasing environmental pollution may constrain the development of tourism. Therefore, the possible influence of environmental regulations on tourism development should be understood. Originality/value At present, no research has explored the influence of environmental regulations on China’s tourism competitiveness. The current study considers the nonlinear effects of environmental regulations and investigates their spatial spillover effects.

scholarly journals The Impact of Environmental Protection Tax on the Upgrading of Industrial Structure-Based on Spatial Econometric Analysis

2019 ◽  
Vol 131 ◽  
pp. 01070
Author(s):  
Aiping Guan ◽  
Jing Xie ◽  
Yu Meng
Keyword(s):  
Environmental Protection ◽  
Industrial Structure ◽  
Econometric Model ◽  
Positive Impact ◽  
Spillover Effects ◽  
Spatial Correlations ◽  
Spatial Econometric ◽  
Spatial Weight ◽  
Spatial Econometric Model ◽  
The Impact

Based on the provincial panel data of 30 provinces in China from 2000 to 2017, this paper uses the spatial econometric model to analyze the impact of environmental protection tax on the upgrading of industrial structure under three spatial weight matrices. The results show that there are significant positive spatial correlations in the upgrading of provincial industrial structure in China, and environmental protection tax has a significant positive spatial spillover effects on the upgrading of industrial structure. The implementation of environmental protection tax in provinces and regions will promote the upgrading of local industrial structure, which will have a positive impact on the upgrading of industrial structure in neighboring provinces and regions.

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