Urbanization, Industrialization, The Movement Of Population:Its Interactive Mechanism With An Empirical Analysis

The urbanization is one of the focuses of Chinese current development. After nearly 40 years of reform and opening-up, our urbanization level has been developed from 17.89% in 1978, to 53.73% in 2013. which is steadily increasing. Concluding the relevant experience of developed countries which has entered the high levels of urbanization, the urbanization of one country needs a "dual-core" drive system. First of all, the urbanization and industrialization promoted each other mutually and developed with each other.In addition, elements of urbanization, especially the free movement of labour resources, are relied on. Through a integration of the urbanization, industrialization, movement of population in China and the relationship between them, we explore to give an interactive mechanism, which can be used to analyze and describe the influence and driven correlation among them, as well as the benefits to the present stage of economic and social development in our country.Boosting employment, increasing their income, changing the using pattern of land and adjusting the industrial spatial layout are the essential ways that the industrialization drives the urbanization process. While the urbanization through the analysis of industrial concentration and economies of scale to promote the development of industrialization. So the coordinated development of industrialization and urbanization should be mutual. And according to the data from 1978 to 2013, a significant gap between urbanization and industrialization level in our country, and its distribution has obvious regional characteristics. The deviation coefficient index is proposed, which can further measure the overall and 31 provinces and cities of the country’s urbanization and the gap between the level of industrialization, and then introduce migration factors as an explanation of the gap.At last, we have tried to demonstrate the existence of the mechanism by using a SVAR model. The statistical indicators that we chose may be insufficient to measure the core factors of this paper, and, of course, the theoretical framework we proposed really exists something faulty and imperfect.