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This empirical study examines the spatial dependence of carbon emissions and analyzes the industrial restructure spatial functional mechanism in China by using provincial carbon emissions panel data over the period of 2000-2015. It also carefully considered other proxies, such as population, economic growth and technological progress in the country. The fundamental objective of this study is to test the spatial dependence in the context of China. The dynamic estimate of the relationship among carbon emissions, industrial restructure, population, economic growth and technological progress are built through spatial models. The empirical findings indicate that is significantly positive and has a significant promote role. The comparative analysis of 2000-2007 and 2008-2015 indicate that the industrial structure of low carbon economic development has been shown regulate provincial economic growth significantly reduced the effect to the adjacent provincial carbon emissions, and the promotion of the role of provincial industrial structure near the provincial carbon emissions growth have the positive role. On the other hand, expedite technological progress are need promoted on the development of low carbon economy. These results demonstrate that there are some achievements have been made in the transformation of China's industrial structure. The government departments should focus on strengthening cooperation and communication in the neighboring areas, improving the industrial structure optimization and considering the effect mechanism of the spatial effect in the long run.

Industrial Structure·Carbon Emissions·Direct Influence·Space Spillover·Spatial Panel Data Models