An Empirical Study Of The Impact Of Urban-Rural Income Gap On Carbon Emissions In China Based On The Spatial Dubin Model

The continuous advancement of industrialization and urbanization has made Chinese economy develop rapidly,and the ensuing environmental problems have become increasingly serious,and carbon emissions have always been a focus.In 2018,global carbon emission totaled about 33.1 billion tons,which reached a record high.Chinese carbon emissions accounted for 27%of the global total,and China is the world’s largest carbon emitter.At the same time,the problem of income inequality in Chinese economic development is also increasingly prominent,and the income gap between urban and rural areas is constantly expanding.The issue of income distribution is related to the vital interests of the people,if it is not taken seriously,it will be detrimental to the harmony and stability of the entire society.Therefore,China is currently faced with the challenges of energy conservation and emission reduction and narrowing the income gap,if we can find a balance between environmental quality and income distribution to reduce the income gap while improving environmental quality has become an important issue in China.On the basis of the environmental Kuznets curve,this paper selects the ratio of urban-rural income and regional GDP as the explanatory variables,uses industrialization level,urbanization rate,energy intensity and trade openness as control variables to establish an expanded EKC empirical model;then based on the spatial perspective,this paper uses the exploratory spatial analysis method to study the spatial correlation of carbon emissions between provinces,and establishes the spatial Dubin model to analyze the important impact of urban-rural income gap on carbon emissions.The specific structure of this article is as follows:first,the introduction introduces the current severe forms of carbon emissions and the growing income gap in China,and points out the current urgency of energy saving and emission reduction and fair income distribution in China;literature review summarizes the relevant literature of scholars at home and abroad,and summarizes the research methods and deficiencies of existing literature;chapter 3 measures the carbon emissions and income gap between urban and rural areas in 30 provinces in China,and conducts a statistical analysis of the status of carbon emissions and income gap between urban and rural areas at the national and provincial levels;the fourth chapter is the selection of relevant indicators and the establishment of the spatial measurement model;then the fifth chapter is to determine the spatial Dubin model and carry out empirical analysis to draw relevant conclusions.The empirical conclusion is as follows:first,China has an environmental Kuznets curve,there is an inverted "U" relationship between economic growth and carbon emission in China.Second,the carbon emissions of neighboring provinces have a positive effect on the province’s carbon emissions through the space spillover effect.Third,the urban-rural income gap promotes the province’s carbon emissions through a direct effect,and also promotes the carbon emissions of neighboring provinces through indirect effects.Fourth,the level of regional development,energy intensity,urbanization rate,and trade level contribute to the province’s carbon emissions,while the industrialization level and urbanization rate of neighboring provinces have positive a effect on the province’s carbon emissions.The empirical results show that narrowing the urban-rural income gap can reduce carbon emissions,which shows that narrowing the income gap can not only achieve development results shared by the people,but also help to improve environmental quality and achieve coordinated economic and environmental development.Based on the above conclusions,this paper puts forward corresponding countermeasures and suggestions from the aspects of income distribution reform,regional coordinated development,industrial structure,and energy structure,etc.Most of the existing research on the influencing factors of carbon emissions is from the perspective of economic scale,industrial structure and technological level,and relatively little research has been conducted on carbon emissions from the perspective of uneven income distribution,especially between urban and rural income gaps.And in these few studies,it is assumed that the research object is independent,and the space overflow effect of the existence of variables is not considered.Based on the extended EKC theory and considering the spatial correlation between variables,this paper establishes a spatial Doberman model of urban-rural income gap and carbon emissions,which can more accurately measure the direct and indirect effects of urban-rural income gap on carbon emissions,and provides a basis for formulating more reasonable policies and measures...