The Dynamic Relationship Between Chinese Income Level And Carbon Emission

In recent years, the world economy developed very fast, with the development of economy, emissions of greenhouse gases caused by global climate change is also a serious impact on the survival and development of human society, carbon dioxide emissions and the development of low-carbon economy has become a hot topic in the world. Increase in carbon dioxide emissions have become an important factor on the global political and economic structure. So whether the level of revenue is an important factor on carbon dioxide emissions. If we want to reduce carbon dioxide emissions, what measures should be taken? In recent years, domestic and foreign scholars studied carbon dioxide emissions and the level of revenue from different aspects. They obtained that income and carbon dioxide emissions presents the environmental Kuznets inverted U curve. But they did not clear indicate income is the main factor.In this article, based on the previous studies, will study the relationship between income and carbon dioxide emissions both from the static and dynamic, then study how changes in income levels affect carbon dioxide emission? From the two problems, this article is structured as follows:The first chapter is the introduction; this paper main introduces the research background, the significance of the topic, literature review, research ideas and thesis paper structure, innovation and shortcomings. There are many factors impact carbon dioxide emissions. Domestic and foreign scholars have conducted many static studies, in this paper, we will study the relationship between carbon dioxide emissions and income levels from the dynamic, but first we should prove income levels is the main factor affecting carbon dioxide emissions, then by the static relationship to study the dynamic relationship.The second chapter is to introduce the theory; this paper mainly introduces the STIRPAT model and related knowledge about Markov models.The third chapter mainly analyzes the relationship between income and carbon emissions, in this section, we need use STIRPAT model to prove income is the main factor affecting carbon dioxide emissions, as in STIRPAT model, and there are three factors of impacting carbon dioxide emissions, by anglicizing STIRPAT model, we can get weather income levels is the main factor affecting carbon dioxide emissions. In different income levels regions, we use STIRPAT model analysis can get the relationship between carbon dioxide emissions and income levels. And by analysis different income levels regions, we can get elasticity coefficient, then get the determine relationship between carbon dioxide emissions and income levels. After getting income levels is the main factor impacting carbon dioxide emissions, we use the Markov process to analysis the dynamic relationship between carbon dioxide emissions and income levels, we think carbon dioxide emissions and income levels as two different states, through two state transition matrix drawn transfer mechanisms between carbon dioxide emissions and income levels, Finally, using the Markov chain predict the two states reached a steady state in a long time.The forth chapter is the conclusion and recommendations. We can get:Income levels is the main factor affecting carbon dioxide emissions, and high-income levels regions emissions more carbon dioxide than low-income levels regions, that is high-income high-emissions. Using Markov dynamic analysis can be drawn: low-income areas to achieve economic development, we must first destroy the environment, when the carbon dioxide emissions reaches a certain levels will bring economic development, finally will reach high-income high-emissions stable state in the short term. But in the long term, high-income high-emissions is not a stable state, in the long term will reach middle-income steady state, for income and carbon dioxide emissions dynamic relationship, we can get advice:in high-income regions charge carbon tax; change the traditional mode of economic development, and so on.Innovation of this paper:First, when we analysis East China, West China and Central China, we do not division religions with the geographical position, we division religions with the level of economic development, to avoid different income levels interaction between regions, making the revenue impact of carbon dioxide emissions is more intuitive. Second, mainly study the relationship between carbon dioxide emissions and income levels from dynamic aspects, This paper is not a simple demonstration of China’s economic level is not reached the highest environmental Kuznets curve point, but after proving income levels is the main factor affecting carbon dioxide emissions, the focus on income levels and carbon dioxide emissions’transfer mechanism.Shortcoming of this paper:During STIRPAT model analysis, using model fit, but the technical level and Per capita wealth have larger correlation, because in STIRPAT models, the two variables are essential, so they are not removed.