Empirical Analysis of the Impact of COVID-19 Epidemic on Global Automobile Market—Based on Spatial Econometric Model

2021 ◽  
Vol 10 (04) ◽  
pp. 141-151
Author(s):  
沛颖 吕
Keyword(s):  
Empirical Analysis ◽  
Econometric Model ◽  
Spatial Econometric ◽  
Automobile Market ◽  
Spatial Econometric Model ◽  
The Impact

scholarly journals Nonlinear Influence of Chinese Real Estate Development on Environmental Pollution: New Evidence from Spatial Econometric Model

2022 ◽  
Vol 19 (1) ◽  
pp. 588
Author(s):  
Wenqin Gong ◽  
Yu Kong
Keyword(s):  
Real Estate ◽  
Environmental Pollution ◽  
Econometric Model ◽  
Real Estate Development ◽  
Real Estate Industry ◽  
Spatial Econometric ◽  
The Real ◽  
The Real Estate ◽  
Spatial Econometric Model ◽  
The Impact

Environmental pollution is a problem of universal concern throughout the globe. The development of real estate industry not only consumes huge resources, but also has close ties with high-consumption industries such as the construction industry. However, previous studies have rarely explored the impact of real estate development on environmental pollution. Therefore, this paper employs the entropy method to construct a comprehensive index of environmental pollution based on panel data of 31 provinces in China from 2000 to 2017, and empirically examines the impact of real estate development on environmental pollution. This article uses real estate investment to measure the development of the real estate industry. In view of the high spatial autocorrelation of environmental pollution, this paper selects a spatial econometric model. The empirical study found that: (1) By using the Spatial Durbin Model, real estate development has an inverted U-shaped impact on environmental pollution. Meanwhile, most cities have not yet reached the turning point; that is, with the continuous development of the real estate industry, environmental pollution will continue to increase. (2) Further regional heterogeneity found that the inverted U-shaped relationship still exists in coastal and inland areas. (3) Finally, this article used the Spatial Mediation Model to explain the nonlinear impact of real estate development on environmental pollution, with two important mediating variables: population density and industrial structure. Through the above analysis, it can be observed that real estate development has a significant impact on environmental pollution. Thus, the country and the government can reduce environmental pollution by improving the investment structure, using environmentally friendly building materials, guiding population flow and promoting industrial upgrading.

scholarly journals How Does Energy Misallocation Affect Carbon Emission Efficiency in China? An Empirical Study Based on the Spatial Econometric Model

2019 ◽  
Vol 11 (7) ◽  
pp. 2115 ◽  
Author(s):  
Chu ◽  
Geng ◽  
Guo
Keyword(s):  
Carbon Emission ◽  
Econometric Model ◽  
Survey Period ◽  
Spatial Econometric ◽  
Emission Efficiency ◽  
East Region ◽  
Low Degree ◽  
Policy Suggestions ◽  
Spatial Econometric Model ◽  
The Impact

As an essential factor of production, energy is receiving increased attention. Yet, other than some fundamental policy suggestions towards China’s energy issues, there have been very few investigations into energy misallocation so far. The measurements of energy misallocation index and carbon emission efficiency were made based on the panel data from 30 provinces in China. To empirically study the impact of energy misallocation on carbon emission efficiency, a spatial econometric model was built. It is found that during the survey period, there was a certain degree of energy misallocation in all regions of China, and the differences between the regions were obvious. There is an inverted U-shaped relationship between the impact of energy misallocation and carbon emission efficiency in which intensified allocation distortion accelerates the arrival of the critical point that is not conducive to energy conservation and emission reduction. The results viewed by regions show that due to a low degree o*f misallocation, the impact of carbon emission efficiency in the east region is positive, while that of the central and west regions are mostly negative. Accordingly, it is necessary to accelerate the marketization process of the energy market and improve the ecological quality.

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.

scholarly journals Spatial Impact of Foreign Direct Investment on Poverty Reduction in Vietnam

2021 ◽  
Vol 14 (7) ◽  
pp. 292
Author(s):  
Quynh Anh Do ◽  
Quoc Hoi Le ◽  
Thanh Duong Nguyen ◽  
Van Anh Vu ◽  
Lan Huong Tran ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Fixed Effects ◽  
Poverty Reduction ◽  
Econometric Model ◽  
Policy Implications ◽  
Negative Effects ◽  
Spatial Econometric ◽  
Spatial Econometric Model ◽  
The Impact

In this study, we analyze the spatial effect of foreign direct investment (FDI) on poverty reduction in Vietnam. This study uses the provincial-level panel data and the fixed-effects regression and the spatial econometric model to investigate empirically the impact of FDI on poverty reduction in Vietnam. The study finds that FDI has contributed to poverty reduction not only directly but also indirectly through human capital. However, FDI has indirectly worsened poverty through international trade. In addition, empirical results from the spatial econometric model show that FDI tends to decrease poverty in provinces. Finally, the study has some policy implications to decrease the negative effects of FDI on poverty reduction in Vietnam.

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