scholarly journals Haze pollution and urbanization promotion in China: How to understand their spatial interaction?

Author(s):  
Huachao Yang ◽  
He Wu ◽  
Wei Liang

Abstract Can promoting urbanization and controlling haze pollution result in a win-win situation? Based on panel data from 287 prefecture-level cities in China, this paper uses the 3SLS and GS3SLS estimator methods to study the spatial interaction between haze pollution and urbanization. The results show the following: (1) There is a spatial interaction between haze pollution and urbanization. On the whole, haze pollution and urbanization have a typical inverted U-shaped relationship. (2) Haze and urbanization show different relationships in different regions. The haze pollution in the area left of the Hu Line has a linear relationship with urbanization. (3) In addition to haze, urbanization also has a spatial spillover effect. When the haze pollution in the surrounding areas increases, the haze pollution in the area will also increase, but the level of urbanization will increase. When the level of urbanization in the surrounding areas increases, it will promote the level of urbanization in the local area and alleviate the haze pollution in the local area. (4) Tertiary industry, greening, FDI and precipitation can help alleviate haze pollution. FDI and the level of urbanization have a U-shaped relationship. Industry, transportation, population density, economic level and market scale can promote regional urbanization.

2021 ◽  
Vol 13 (4) ◽  
pp. 2390
Author(s):  
Xu Dong ◽  
Yali Yang ◽  
Xiaomeng Zhao ◽  
Yingjie Feng ◽  
Chenguang Liu

A vast theoretical and empirical literature has been devoted to exploring the relationship between environmental regulation and total factor productivity (TFP), but no consensus has been reached and the reason may be attributed to the fact that the resource reallocation effect of environmental regulation is ignored. In this paper, we introduce resource misallocation in the process of discussing the impact of environmental regulation on TFP, taking China’s provincial industrial panel data from 1997 to 2017 as a sample, and the spatial econometric method is employed to investigate whether environmental regulation has a resource reallocation effect and affects TFP. The results indicate that there is a U-shaped relationship between environmental regulation and industrial TFP and a negative spatial spillover effect of environmental regulation on industrial TFP at the provincial level in China. Both capital misallocation and labor misallocation will lead to the loss of industrial TFP. Capital misallocation has a negative spatial spillover effect on industrial TFP, while labor misallocation is just the opposite. Environmental regulation can produce a positive resource reallocation effect, which in turn promotes the industrial TFP in the range of 28% to 33%, while capital misallocation and labor misallocation are only partial mediator.


Author(s):  
Xiulin Qi ◽  
Xin Wang ◽  
Xiao Jin ◽  
Zhenyu M. Wang ◽  
Beibei Zhang ◽  
...  

Haze has been a severe problem in China for some time, jeopardizing air quality, public health and sustainable growth. This paper examines the direct effect and spatial spillover effect of policy uncertainty on haze pollution with a spatial panel model, using prefecture-level data from 2004 to 2016. This study shows that: (1) policy uncertainty has increased the level of local haze pollution and has a significant spatial spillover effect on surrounding areas; (2) although local policy uncertainty has increased the haze pollution in geographically adjacent cities, it only affects the cities within the province with similar economic distances; and (3) the policy at the central level can effectively alleviate the impact of policy uncertainty at the local level on haze pollution, especially in relation to the spatial spillover effect, but still has limitations in eliminating the direct effect, which is due to the ineradicable nature of policy uncertainty.


Author(s):  
Yunling Ye ◽  
Sheng Ye ◽  
Haichao Yu

We analyze the mechanism for industrial co-agglomeration in Chinese 283 cities to affect haze pollution from 2003 to 2016 and examine the possible mediating effects of urbanization and energy structure between haze pollution and industrial co-agglomeration, finally obtaining the following results. First, industrial co-agglomeration and haze pollution across China, including central and eastern regions keep a typical inverted U-shaped curve relationship. That is, industrial co-agglomeration first promotes haze pollution and then restrains it. However, the impact of industrial co-agglomeration on haze pollution in western China is still on the left side of the inverted U-shaped curve, reflecting a promotion effect. Second, industrial co-agglomeration has a significant spatial spillover effect on haze pollution. Additionally, industrial co-agglomeration can promote haze pollution in local regions but inhibit it in surrounding regions in both the short and long run. In contrast, when the industrial co-agglomeration index exceeds the inflection point (3.6531), it benefits the reduction of haze pollution in local regions, while not being conducive to it in the neighboring regions. Third, industrial co-agglomeration can affect haze pollution through urbanization and energy structure, that is, urbanization and energy structure play an intermediary role between them.


2020 ◽  
Vol 29 (5) ◽  
pp. 3213-3223
Author(s):  
Shiming Liao ◽  
Dong Wang ◽  
Zhijun Liang ◽  
Changyou Xia ◽  
Hao Guo ◽  
...  

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 613
Author(s):  
Lu Wang ◽  
Shumin Jiang ◽  
Hua Xu

In this study, the static and dynamic spatial Durbin model between industrial structure and haze pollution in Yangtze River Delta is constructed. Later, the spatial spillover effect and time lag effect of haze pollution in Yangtze River Delta are analyzed. The impact of rationalization and upgrading of industrial structure on haze pollution and its spatial spillover effect are discussed. The results show that: (i) PM2.5 has a significant positive spatial spillover effect and time lag effect; (ii) in the short run, the rationalization and upgrading of industrial structure has no inhibitory effect on haze pollution, while the rationalization and upgrading of industrial structure of surrounding cities has an inhibitory effect on local haze pollution; (iii) in the long run, the rationalization and upgrading of industrial structure of surrounding cities have an inhibitory effect on local haze pollution; (iv) economic growth, FDI, the number of Industrial Enterprises above Designated Size, and population density also have spatial spillover effects on haze pollution. Therefore, considering the spatial spillover effect of haze pollution from the perspective of urban agglomeration and long-term, strengthening the joint prevention and control and comprehensive treatment among cities, further promoting the rationalization and upgrading of industrial structure is conducive to reducing haze pollution.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Junhao Zhong ◽  
Tinghui Li

The relationship between financial development and green economic growth has received much attention in recent years. Research on the relationship between financial development and green total factor productivity (GTFP) is of great importance to China and other countries. This study has attempted to reveal the spatial distribution of China’s provincial GTFP and impact of financial development on GTFP by using the method of GML index based on SBM-DDF and the spatial Durbin model (SDM) during the period 1996–2015. Innovation is added to the SDM to reflect the influencing mechanism of financial development on GTFP. The empirical results show the following: (1) The mean of China’s provincial GTFP showed a U-shaped curve in 1996–2015. (2) China’s provincial financial development promotes the growth of GTFP through innovation channel. The reason is that financial development boosts eco-friendly innovation and the introduction of energy saving technology, leading to a decrease in energy consumption and pollutant emissions. (3) Increasing the level of financial development in the surrounding areas will restrain local GTFP. Our results provide new evidence that China’s regional financial development has a spatial spillover effect. (4) China’s provincial GTFP has a significant spatial positive correlation. Finally, several policy implications can be summarized to China’s 30 provinces.


2021 ◽  
Author(s):  
Zhonghua Cheng ◽  
Yeman Zhu

Abstract This paper empirically analyzes the effects of fiscal decentralization on haze pollution and its mechanism using statistical data from 285 Chinese cities from 2003 to 2016. The results show that increases in the degree of fiscal decentralization not only dramatically aggravate haze pollution in local areas but also significantly worsen the haze pollution in surrounding areas. Further mechanism analyses show that the increase in the degree of fiscal decentralization can also increase the volatility of haze pollution in local areas indicating that local governments do have the ability to control haze pollution in their local area according to their own preferences and interests. However, increases in the degree of fiscal decentralization in the local area can also reduce the volatility of haze pollution in surrounding areas at the same time, indicating that the adjustments in environmental policies in surrounding areas will significantly inhibit the control of environmental policies in the local area, thus preventing haze pollution in the local area from being effectively controlled. This means that there is a destructive environmental ‘Race to the Bottom’ competition between governments in order to compete in the game.


2021 ◽  
Vol 13 ◽  
pp. 378-385
Author(s):  
Yunfei Ding

Under the background that China's labor force is decreasing and they can move freely, this paper selects the Spatial Doberman model with time-individual fixed effects to analyze and study the spatial spillover effect and its impact mechanism of the labor agglomeration of 31 provinces in mainland China from 2003 to 2018 on regional economic growth. It was found that in China, the increase in the concentration of labor in a region and surrounding areas can promote economic growth in the region through the increase in marketization and the decline in the dependency ratio. However, the current regional economic growth in China is manifested by the promotion of labor agglomeration in the region and the suppression of labor agglomeration in the surrounding areas.


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