scholarly journals Spatial spillover effects of export-oriented economic development in the Yangtze River Economic Belt

资源科学 ◽  
2019 ◽  
Vol 41 (10) ◽  
pp. 1871-1885
Author(s):  
Bingbing CAI ◽  
Wei ZHAO ◽  
Zhengyang LI ◽  
Hui YANG ◽  
Keyword(s):  
Economic Development ◽  
Yangtze River ◽  
Spillover Effects ◽  
The Yangtze River ◽  
Spatial Spillover ◽  
Spatial Spillover Effects

scholarly journals A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action

2019 ◽  
Vol 16 (22) ◽  
pp. 4452 ◽  
Author(s):  
Xuhui Ding ◽  
Zhongyao Cai ◽  
Qianqian Xiao ◽  
Suhui Gao
Keyword(s):  
Technological Innovation ◽  
Emission Intensity ◽  
Emission Reduction ◽  
Yangtze River ◽  
Carbon Emission ◽  
Spillover Effects ◽  
The Yangtze River ◽  
Low Carbon ◽  
Spatial Spillover ◽  
Carbon Emission Intensity

It is greatly important to promote low-carbon green transformations in China, for implementing the emission reduction commitments and global climate governance. However, understanding the spatial spillover effects of carbon emissions will help the government achieve this goal. This paper selects the carbon-emission intensity panel data of 11 provinces in the Yangtze River Economic Belt from 2004 to 2016. Then, this paper uses the Global Moran’s I to explore the spatial distribution characteristics and spatial correlation of carbon emission intensity. Furthermore, this paper constructs a spatial econometric model to empirically test the driving path and spillover effects of relevant factors. The results show that there is a significant positive correlation with the provincial carbon intensity in the Yangtze River Economic Belt, but this trend is weakening. The provinces of Jiangsu, Zhejiang, and Shanghai are High–High agglomerations, while the provinces of Yunnan and Guizhou are Low–Low agglomerations. Economic development, technological innovation, and foreign direct investion (FDI) have positive effects on the reduction of carbon emissions, while industrialization has a negative effect on it. There is also a significant positive spatial spillover effect of the industrialization level and technological innovation level. The spatial spillover effects of FDI and economic development on carbon emission intensity fail to pass a significance test. Therefore, it is necessary to promote cross-regional low-carbon development, accelerate the R&D of energy-saving and emission-reduction technologies, actively enhance the transformation and upgrade industrial structures, and optimize the opening up of the region and the patterns of industrial transfer.

Total-factor air environmental efficiency and its influencing factors in the areas along the Belt and Road in China: A spatial spillover perspective

2021 ◽  
pp. 0958305X2110151
Author(s):  
Ni-Ni Yin ◽  
Ke-Liang Wang ◽  
Zhen Yao ◽  
Li-Li Ding ◽  
Zhuang Miao
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Fixed Effects ◽  
Spillover Effects ◽  
Environmental Efficiency ◽  
Spatial Spillover ◽  
Positive Effects ◽  
Belt And Road ◽  
Spatial Spillover Effects ◽  
The Belt And Road

In order to promote sustainable economic development in the areas along the Belt and Road in China, it is of great necessity to reduce the negative impact of air pollutants resulting from industrialization and urbanization on the complex and fragile ecological environments of neighboring areas. First, this study estimated the total-factor air environmental efficiency (TFAEE) of 17 provinces along the Belt and Road in China from 2010 to 2017 using a slacks-based measure (SBM) model. Second, the global and local Moran indices were used to test the spatial correlations between TFAEEs. Finally, the spatial factors and spatial spillover effects influencing the TFAEEs were investigated using the spatial Durbin model with spatiotemporal double fixed effects. The results were shown as follows: (1) The total-factor TFAEEs of the areas along the Belt and Road were low and showed significant regional spatial differences during 2010–2017. (2) There was a positive spatial autocorrelation between the TFAEEs of the areas along the Belt and Road, and the spatial distribution generally clustered into High-High and Low-Low concentrations. (3) Economic development and technological innovation played significantly positive effects on TFAEEs of the areas in the Belt and Road, while energy consumption structure had negative effect on it. In addition, although industrial structure and environmental regulation were negatively correlated with TFAEEs, the coefficients were not significant. (4) The positive spatial spillover effect of the TFAEEs of the areas along the Belt and Road was mainly the result of significant environmental regulations and insignificant economic development factors, while the technological innovations, energy consumption structures and industrial structures showed insignificant negative spatial spillover effects.

scholarly journals Research on the Impact of Expressway on the County Economy Based on a Spatial DID Model: The Case of Three Provinces of China

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xueming Xu ◽  
Changping Liu
Keyword(s):  
Economic Development ◽  
Negative Impact ◽  
Transportation Cost ◽  
Spillover Effects ◽  
Difference In Differences ◽  
Spatial Spillover ◽  
County Economy ◽  
Spatial Spillover Effects ◽  
The Impact ◽  
Stages Of Economic Development

Infrastructure construction results in transportation cost and regional economy changes. Based on the exogenous infrastructure change of a county highway opening as a natural experiment, this paper uses the spatial difference-in-differences (DID) model to analyze the impact of highway construction in three different provinces of China from 2004 to 2017. It was proved that highway connectivity had no significant or negative impact on the economy of the counties in three provinces that the highway passes through. In addition, highway connectivity was claimed to have obvious spatial spillover effects, which could promote the economic development of the whole region. For counties belonging to provinces in different regions and stages of economic development, we establish a spatial DID model that integrates time and space dimensions to study the impact of expressways on county economic development, to make up for the traditional DID model’s dependence on SUTVA assumptions, and to obtain spatial spillover effects.

scholarly journals Spatial Spillover Transmission Effects of Financial Development on Economic-Zone Financial Efficiency in China

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Kai Chang ◽  
Zesheng Li ◽  
Yu Long
Keyword(s):  
Yangtze River ◽  
East Coast ◽  
Spillover Effects ◽  
South Coast ◽  
North Coast ◽  
Financial Efficiency ◽  
Spatial Spillover ◽  
The North ◽  
Spatial Spillover Effects ◽  
Economic Zones

This article attempts to fill important knowledge gaps to explore the spatial spillover effects of financial markets on regional financial efficiency in eight economic zones using three-stage superefficiency data envelopment analysis (DEA) and Durbin’s spatial econometric model. The average financial efficiencies in the North coast, East coast, and South coast economic zones reach the superefficiency DEA relatively efficient level, while the average financial efficiencies in the Northeast, Middle Yellow River, Middle Yangtze River, and large West-south and West-north economic zones reach the superefficiency DEA relatively inefficient level. Except for the North coast economic zone, seven equity markets have significant impacts on regional financial efficiency, and local equity markets in the Northeast, South coast, Middle Yellow River, and Middle Yangtze River economic zones generate significant spatial spillover effects on neighboring regions’ financial efficiency. Local credit markets only in the Northeast and South coast economic zones have significant spatial spillover influences on neighboring regions’ financial efficiency. Debt markets in the North coast, East coast, South coast, Middle Yangtze River, and large West-south economic zones have significant influences on regional financial efficiency, and local debt markets in the East coast and Middle Yangtze River economic zones generate significant spatial spillover effects on neighboring regions’ financial efficiency.

scholarly journals The Spatial Characteristics of Sustainable Development for Agricultural Products E-Commerce at County-Level: Based on the Empirical Analysis of China

2021 ◽  
Vol 13 (12) ◽  
pp. 6557
Author(s):  
Zhiheng Chen ◽  
Wen Shu ◽  
Hongpeng Guo ◽  
Chulin Pan
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Industrial Development ◽  
Agricultural Development ◽  
Spillover Effects ◽  
Agricultural Products ◽  
Development Economic ◽  
County Level ◽  
Spatial Spillover ◽  
Spatial Spillover Effects

This paper used the sectional data of Chinese counties to analyze the spatial distribution characteristics of sustainable development of e-commerce for agricultural products in China at the county-level. The standard deviation ellipses and Moran’s index were used to research this subject. Then, by constructing spatial measurement models, the spatial spillover effects and influencing factors of the development of county-level agricultural products e-commerce were analyzed from economic development, economic structure, economic vitality, and agricultural development. The results show that: (1) the top 100 counties of agricultural products e-commerce mainly concentrate in southeastern China, spreading along the northeast and southwest; (2) the county-level agricultural products e-commerce shows significant negative spatial spillover effects; (3) the level of economic development and public services have a positive impact on the development of county-level agricultural products e-commerce, while the level of industrial development shows a negative correlation; (4) the level of agricultural development and industrial development have a significant negative external effect on the development of agricultural products e-commerce. This study is of great significance to promote the sustainable development of agricultural products e-commerce, the process of rural urbanization and the optimization of county industrial patterns.

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