Abstract
This paper used the dynamic panel data from 2004 to 2013 of 21 municipalities in Guangdong Province to study the tendency and the influence factors of regional industrial specialization. We found that in the sample period, the difference of regional industrial specialization showed staged change, however, it kept an uptrend overall. Based on the inequality decomposition of regression equation, we found that the regional original industry specialization was the most important factor of regional industry specialization difference, followed by market potential, wage level, total factor productivity, capital shock, opening degree, reform progress and transport infrastructure. This empirical result indicated the direction of the industrial structure transformation and industry policies formulation in Guangdong Province.
Highlights
China’s economy has entered into the new normal of medium-high-level growth, and innovation will be the key driver for future development
We found that the difference of the regional industry specialization in 21 municipalities in Guangdong Province showed staged tendency, whereas it kept a rising trend slowly
Based on the decomposition method of Shapley Value, we found that the important factors deciding the regional industry specialization were in turn: original regional industry specialization, market potential, wage level, total factor productivity, capital shock, opening degree, reform progress and transport infrastructure
Summary
China’s economy has entered into the new normal of medium-high-level growth, and innovation will be the key driver for future development. The studies concerning on what are the influence factors of the industry specialization differences, which is the most important in the influence factors and how to use the policy guidance to promote the development of the regional industrial specialization are relatively rare. This paper made contributions in the three aspects as follows: firstly, the paper applied different inequality indexes including Gini coefficient and Generalized Entropy Index (GE0, GE1) to measure the evolution trend of differences in the regional industrial specialization of the 21 municipalities in Guangdong Province; secondly, this paper used the Shapley value to decompose the influencing factors of the regional industrial specialization differ-. L. Wu ences to ensure the contribution fractions of the influencing factors to the regional industrial specialization differences; thirdly we put forward the relative policy recommendations according to the quantitative analysis. The Forth Part is a summary of the full text, and put forward some relevant proposals
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
