scholarly journals Spatial spillover effect and threshold characteristics of economic agglomeration on industrial wastewater discharge in the Yangtze River Economic Belt

资源科学 ◽  
2021 ◽  
Vol 43 (1) ◽  
pp. 57-68
Author(s):  
Fan ZHANG ◽  
Hongbing DENG ◽  
Yongzhang PENG ◽  
2021 ◽  
Vol 251 ◽  
pp. 02068
Author(s):  
Zhang Kunjie

Based on inter-provincial panel data from 2010 to 2018, the author conducted quantitative analysis on the decoupling of economic growth and industrial wastewater discharge as well as its driving factors in the Yangtze River Delta. The research shows during the study period, a high level of decoupling between economic growth and industrial wastewater discharge could be seen in the Yangtze River Delta, mainly in the form of strong decoupling, while at the same time, undesirable conditions such as growth linkages and expansive negative decoupling, still existed in a few years and certain regions. Among the studied regions, Anhui Province, Zhejiang Province and Jiangsu Province all share a similar decoupling pattern with a rather stable overall performance. Shanghai, however, performed poorly among the Yangtze River Delta, with undesirable decoupling states detected in a few years. In terms of driving factors, technology is the core factor that drives the decoupling of economic development to industrial wastewater discharge of the region. The structural effect, on the other hand, is another element worth paying attention to as the technology in the region gradually becomes saturated.


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.


2021 ◽  
Author(s):  
Li Xin Xiong ◽  
Jia Jun Ning ◽  
Yun He Dong ◽  
Meng Meng Dai

Abstract The pollution reduction effect of regional development could be analyzed more comprehensively from the perspectives of coordinated development and differentiated development. Based on the theory of regional coordinated development, this paper used panel data for cities in the Yangtze River Economic Belt from 2008 to 2017, adopted the spatial autocorrelation method and spatial econometric model to analyze the spatial and temporal distribution pattern of environmental pollution emission, regional coordination and differentiated development degree in the Yangtze River Economic Belt, analyzed the impact of regional differentiated coordinated development on pollution emission reduction in local and surrounding cities, and discussed the spatial spillover effect of regional differentiated coordinated development on pollution emission and its boundary test. The results showed that (1) at the overall level of the Yangtze River Economic Belt, coordinated regional development and differentiated regional development have significantly reduced pollution emissions and present complementary effects on pollution emission reductions; (2) an obvious spatial spillover effect was observed for the impact of regional coordinated and differential development on pollution reduction, a negative spatial spillover coefficient was observed for different urban economic circles, and an obvious inverted U-shaped trend occurred in the impact degree with increasing distance, with a 500 km range of urban economic circles considered a turning point; and (3) a heterogeneity test used the three major regions and sub-cities of the Yangtze River Economic Belt to verify and analyze the impacts of regional coordinated and differential development on pollution emissions, which showed that there was obvious spatial heterogeneity at different levels. Based on the above results, policy suggestions for decreasing pollution emissions in the process of differentiated coordinated development of the Yangtze River Economic Belt were proposed.


Author(s):  
Fengjian Ge ◽  
Wanxu Chen ◽  
Yuanyuan Zeng ◽  
Jiangfeng Li

China has entered the stage where urban agglomerations underpin and spearhead the county’s urbanization. Urban agglomerations in China have become economic growth poles, and the constantly improving transport networks in these agglomerations bring about opportunities for redistributing labor forces and promoting regional economic development, trade, and social progress for all. This is the foundation and fuel for urban development. However, lack of knowledge of the spatial features of, and the interrelationship between, regional urbanization and traffic accessibility constrains effective urban planning and decision-making. To fill this gap, this study attempted to evaluate the spatiotemporal distribution characteristics of urbanization levels and traffic accessibility in 1995, 2005, and 2015 in the Middle Reaches of the Yangtze River Urban Agglomerations (MRYRUA), China. The spatial interaction, spatial dependence effect, and spatial spillover effect between urbanization and traffic accessibility were tested by employing the bivariate spatial autocorrelation model and spatial regression models. The results showed that the urbanization level and traffic accessibility in the MRYRUA shot up over time and manifested similar spatial distribution characteristics. The global bivariate spatial autocorrelation coefficients were positive and significant during the period studied, and the main relationship types were the high urbanization and high traffic accessibility types and low urbanization and low traffic accessibility types. The spatial regression results showed that there was a significant positive association between urbanization and traffic accessibility, but with a significant scale effect. Urbanization is not only affected by the traffic accessibility of the individual grid unit but also by those in the adjacent or further grid units. The findings in this study provide important implications for urbanization development and transportation planning. The spatial dependence effect and spatial spillover effect between urbanization and traffic accessibility should be considered in future urban planning and transportation planning. The rational allocation of resources and inter-regional joint management can be an effective path toward regional sustainability.


2021 ◽  
pp. 135481662110211
Author(s):  
Honghong Liu ◽  
Ye Xiao ◽  
Bin Wang ◽  
Dianting Wu

This study applies the dynamic spatial Durbin model (SDM) to explore the direct and spillover effects of tourism development on economic growth from the perspective of domestic and inbound tourism. The results are compared with those from the static SDM. The results support the tourism-led-economic-growth hypothesis in China. Specifically, domestic tourism and inbound tourism play a significant role in stimulating local economic growth. However, the spatial spillover effect is limited to domestic tourism, and the spatial spillover effect of inbound tourism is not significant. Furthermore, the long-term effects are much greater than the short-term impact for both domestic and inbound tourism. Plausible explanations of these results are provided and policy implications are drawn.


2021 ◽  
Vol 13 (14) ◽  
pp. 8032
Author(s):  
Chengzhuo Wu ◽  
Li Zhuo ◽  
Zhuo Chen ◽  
Haiyan Tao

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.


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