The Effect Of Industrial Agglomeration On Carbon Emission Reduction

In 2006,China’s total carbon emissions surpassed the United States for the first time,becoming the world’s largest carbon emitter.After nearly a decade of development,China’s carbon emissions have been much higher than in the United States by 2014.The persistently high level of carbon emissions and their growth rates have caused China to bear heavy domestic and international public pressure.Reducing carbon emissions is not only an international requirement for China as a responsible power,but also a requirement for high-quality development.Under the premise of maintaining economic development,effective carbon reduction is an important issue for academic research.Considering the rigidity of energy structure and the long-term adjustment of industrial structure,this paper studies the role of industrial agglomeration in carbon emission reduction and provides policy recommendations for the realization of energy-saving emission reduction targets in China.This paper demonstrates the impact of industrial agglomeration on carbon emission reduction from both theoretical and empirical perspectives.The first chapter of the thesis reviews the theoretical and empirical research results of industrial agglomeration and carbon emissions.The second chapter of the thesis studies the mechanism and process of industrial agglomeration affecting carbonemissions,laying a foundation for subsequent empirical models.The third chapter of the thesis uses the space Gini coefficient as an index to measure the level of industrial agglomeration.After calculating the space Gini coefficients of 26 industries in China,it is found that there is a significant phenomenon of agglomeration in China,and there is an overall trend of change in dynamics.The proportion of highly concentrated industries has decreased.At the same time,this paper calculated the total carbon emissions in China using the method recommended by the IPCC.It was found that in the ten years from 2005 to 2014,the carbon emission scale in China showed a trend of rising first and then decreasing,but the total amount is at a relatively high level.The industries with higher carbon emissions are mainly coal mining and washing,ferrous metal mining,non-ferrous metal mining,rolling processing and other heavy industries and some of the larger light industry.The fourth chapter is the empirical part of this paper.This paper takes the space Gini coefficient as the core explanatory variable,technological innovation,industry scale,energy consumption structure,environmental regulation intensity and foreign investment level as the control variables,and the total carbon emission is the explained variable.A static panel data model was constructed to statically regress the influencing factors of carbon emissions from 26 industries from 2005 to 2014,and a fixed effect model was selected.Then a dynamic panel data model was established for robustness testing.The results show that the impact of industrial agglomeration on carbon emissions is linear.Industrial agglomeration and environmental regulation have a positive effect on the reduction of China’s total industrial carbon emissions.Technological innovation has a positive effect on carbon emissions,industry scale,and average foreign investment.The effect on carbon reduction is not significant.The increase in the degree of industrial agglomeration is conducive to the promotion of carbon emission reduction.This finding can provide a useful reference for the spatial layout of China’s industries.Since technological innovation has a positive effect on carbon emissions,the low carbon economy leads to low carbon consumption.Technological progress should become the direction of China’s technological innovation in the future;Promoting industrial upgrading withlow-carbon technological innovation will be conducive to the construction of China’s low-carbon industry system;the increase in the intensity of environmental regulation can force companies to reduce emissions,which is a long-term mechanism for carbon reduction Micro-guarantee.