Study On The Differences Of China's County Economic Growth And Its Influencing Factors

County as an important part of China's economic system in a nexus, linking the rural and the urban, it's development and growth are great strategic significance for the development of the entire national economy. In recent years, China's county economic growth significantly in 2010, China's county economy for the first time and the overall national economy for the first time more than 50%, since the county economy continued to grow significantly in 2012, its share reached 51.91% In 2015, the county GDP of the country's GDP reached 63%. On the one hand, economic growth depends on factor inputs, namely capital, labor and technological progress is the main source of economic growth, on the other hand economic growth depends on improving total factor productivity, namely the level of economic development of the county and the efficient allocation of resources in close contact, at the same time under market conditions exist spatial factors affect different levels of economic development between the county. This study attempts to productivity from the perspective of China's economic development were differences county measure and explain the scientific issues raised is how China county economic development in the county's economic development affect productivity? County Economic Development determinants for the county's economic growth if there are spillover effects space? County as a relatively complete basic spatial units and provincial economic growth, base unit, the organization and operation of economic behavior have a provincial (provinces) and the City (prefecture-level cities) can not replace features, showing its unique behavior mechanism and operation rules. Differences in economic growth for the county scientific investigation, using the county statistical data of the country, on the basis of differences in economic growth of County and convergence, based on further analysis of the deep-seated reasons for the differences of the county's economic growth-productivity, TFP conducted measure, decomposition and interpretation, finally, the impact of factors on the county economy a classical econometric model analysis and spatial econometric analysis. According to the Development Research Center of the State Council in 2005 proposed "China's four major economic zones plate" classification criteria. In the study, to change the county's economic research tradition of the country's eastern, central and western three zoning law, the country is divided into eight economic zones namely the northeast, the north coast, east coast, the southern coast, the middle reaches of the Yellow River, the middle reaches of the Yangtze River, large southwest, northwest of the county economy study, more detailed information can be obtained, more in-depth analysis and more reliable conclusions for guidance from an objective county development, narrowing the development gap between urban and rural areas, the county economy to achieve sustained steady growth, with high practical significance. Meanwhile, in the measurement and interpretation of productivity on the basis of the county economy, this article will introduce spatial econometrics method county economy study, previous studies make up for the lack of correlation between regional spatial ignored.The study is divided into seven chapters, the core section of Chapter ? to Chapter ? of the main contents can be summarized into two parts:(A) The theoretical analysis. Points Qualitative Analysis and mathematical analysis of two partially deployed. First, the county review of the relevant theory of economic growth, and secondly from the perspective of industrial agglomeration spatial dependence of the county economy, namely combining spatial economics and County Economic Research, and then according to the theory of spatial economics analyzes the influencing factors of the county's economic development and discuss their spatial spillover effects, and finally mathematical analysis section, we introduced the economic growth model includes spatial correlation, the abstract theoretical questions.(B) Empirical Analysis. On the basis of raw data on descriptive statistics, we analyze the differences between the county's economic growth and convergence; secondly, from the perspective of productivity growth difference of county further analysis, measurement, decomposition and explained the production efficiency of the county economy, and a brief analysis of the influencing factors; and finally, in the classical model of panel data analysis into the space base of the main factors of economic growth on the county econometric model, further analysis of the county's economic growth in the space factor.The main findings of this study are:First, China's main economic differences among counties from eight economic zone economic disparities between regions, and economic differences within the County District Eight economy of the relatively minor position, so our county's economic development need to focus on reducing regional disparities, co-ordination regional development; the presence of eight economic zones China County Economic Growth absolute ? convergence, but there is a big difference in the speed of convergence of different economic zones of the county economy, the Yangtze River county fastest convergence (4.83%), followed by the middle reaches of the Yellow River County (4.76%), the northern coast of the county (3.79%), the Southern Coastal Counties (3.57%), the eastern coastal county (3.39%), eastern county (3.10%), and finally the county's economic convergence slowest turn is southwest county (2.83%), northwest of the county (2.66%); in the county, according to the relatively backward after having made catching advantage on the economic growth rate is faster than the relatively developed county, the county's economic disparities inside all economic regions have gradually narrowing trend.Second, the eastern coastal county, the southern coastal county, the county and the middle reaches of the Yellow River County in southwest 2003--2012 production efficiency has been greatly improved, an increase of 1.5%,3.5%,2.1% and 0.7%, mainly caused by the technological advances that lead to the production of mobile effect frontier productivity improvement and improved; most areas of the county, especially the development of the northeast county should focus on improving the efficiency of resource allocation.Thirdly, there is the county's economic growth in China significant spatial correlation between the spatial correlation of this space reflects the positive spillover effects. In this study, Moran's I index for the county's economic growth spatial correlation test, found in the study period, the eight economic zones of the county there are significant spillover effects space, for space reasons causing this correlation is an element, technology, market demand in exchanges between neighboring county.The innovation of this study may be as follows:(1) innovative research object. County zoning for many Chinese, this paper change the traditional China's eastern, central and western three zoning law, the country is divided into eight economic zones namely the northeast, the north coast, east coast, the southern coast, the middle reaches of the Yellow River, the middle reaches of the Yangtze River, Southwest, northwest of the county economy study focused on the county's economic development and refinement of spatial correlation between the availability of more detailed information, more in-depth analysis and more reliable conclusions.(2) on the application of innovative approaches. In this study, combined with spatial econometric modeling and estimation techniques, the use of GIS technology to characterize spatial characteristics of the county's economic growth to make up for the county's economic research in the past, the lack of correlation between regional spatial ignored.(3) Research on Innovation Perspective. From the perspective of production efficiency of county economy cut, the effect of differences in productivity and economic growth of the county, and finally from the perspective of spatial correlation, analyze spatial impact of the county's economic development determinants spillover effects.