Dynamic Changes and Spatial Agglomeration Analysis of the Chinese Agricultural Carbon Emissions Performance

This article uses the panel data from 1999 to 2010 to calculate the carbon emission of Chinese provinces and uses ML index, space Morans' I index and three kinds of convergence model to analyze the dynamic change and Spatial Agglomeration of the China agricultural carbon emission performance. Research conclusions: first, the ML value of China agricultural carbon emission performance from 1999 to 2010 had improved a lot, but there are some problems about imbalance of regional development. For example, the performance in the east area is the best, while the performance in the central area is the worst. Second, technological progress makes a big contribution to China agricultural carbon performance, while the efficiency contributes the least, meaning that the technology can improve agricultural carbon emission performance value. Third, spatial autocorrelation exist in ML index value of China agricultural carbon emission performance. Since 2000 the degree of spatial autocorrelation has become weaker. Fourth,there is a "club convergence" effect in China agricultural carbon emissions performance indicating agricultural carbon emission performance of provinces are convergent.