| This paper studies the relationship between economic development and environmental pollution, using simple correlation analysis, classical linear regression model and spatial econometric regression models. According to the relevant direction, 31 provincial regions are divided into three types:environmental damage, transitional and environment-friendly. Also use exploratory spatial data analysis to explore the space distribution features of Chinese economic development and environmental pollution. Build classical linear regression model and spatial econometric regression models. The elastic coefficient reflects the relationship between economic development and environment pollution, which is dynamic. At last, we provide policy suggestions for the construction of ecological civilization.The main content of the research is as follows:First, compare economic development with economic growth, summarize the present situation of economic development and environment pollution severity. Use Pearson correlation coefficient to measure the relationship of 31 provincial regions in China.Second, explore the spatial distribution characteristics of economic development and environmental pollution. According to the theory of spatial econometrics, the indicators of the economic development and environmental pollution are spatial autocorrelation tested.Finally, establish linear regression model and spatial econometric regression models by sectional data from 2002 to 2012. Under the new normal, it is suggested that from the economic and environmental coordinated development, accelerate transformation of the mode of economic development, optimize the industrial space layout.The results show that economic development and environment pollution show strong spatial clustering, From 2002 to 2012, economic development and environment pollution change almost at the same proportion in China, the environment has been neither ameliorated nor deteriorated. |
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