Abstract:

From the mobility of labor force, this paper adopted logic regression model to analyze the characteristics and determinants of cross-regional development of textile and clothing enterprises by extending expected profit function in order to explore the micro-factors of industry transfer and agglomeration. We used the micro-data of 185 public enterprises and their subsidiaries as samples. The results of empirical analysis present that larger enterprises with higher technical level are more likely to implement cross-regional strategy. Different from production units, location choices of R&D units are inclined to be located in cites with higher factor costs, greater market size and thriving service industry to acquire high skilled professionals and information. Higher spatial stickiness and lock-in effect of high-skilled labor accelerate industry transfer and factor segmentation.

Key words: textile and clothing enterprise, cross-regional development, heterogeneous labor force, factor flow, expected profit