Abstract:

Based on the characteristics of the fact that China's textile industry to build regional association, this paper uses the provincial domain data from the 1999 to 2011 years to study China's textile industry's spatial autocorrelation and region correlation effects. The results show that, China's textile industry constructed regional correlation effect through industry correlation, spatial correlation and market correlation. With the continuous improving of China's textile industry's labor productivity, the negative effects of spatial autocorrelation become increasingly significant, and the difference of labor productivity in the eastern, central and western regions is becoming large. Increasing labor capital stock and decreasing employment density can significantly improve textile industry's labor productivity of the midwest and lower labor productivity of the eastern. Reducing government intervention, promoting industrial agglomeration, increasing foreign direct investment and accelerating high-class adjustment of industrial structure can improve China's textile industry labor productivity significantly.

Key words: textile industry, region correlation, spatial spillover, spatial econometrics, productivity