Research On Regional Economic Growth Of Hebei Province Based On Spatial Econometric Model

Hebei province is a big province of economy in East of China，and has a geographicallocation, resources, capital, labor and many other advantages. Hebei province has animportant effect on the economic development of our country. And the research on its regionaleconomic growth has been one of the most key issues of domestic and foreign. In recent years,relying on the support of government policies and the integrated development of onemarket driven， the economy of Hebei Province has obtained the fast development. But in theprocess of development, due to historical reasons, the natural condition and some remainingproblems of policy, various of counties and city economic development has shownuneven phenomenon, such as: the economical developed area always one piece, related oridentical industry also tend to cluster in the same geographical space. Aiming at theseproblems, traditional econometric methods in practical analysis have been more andmore suitable for the complex regional economy. Spatial econometric methods in recentyears， the birth of the shortcoming of traditional measurement method to solve the problemof regional economic growth from a single perspective，combining the traditional econometricmethods and geographic information factors of agglomeration effect，spillover effect and theregional economic growth appears gave full consideration.In this paper， based on the spatial econometric model and some indexes to combine thetraditional economic growth，we study the problem of economic growth of146counties ofHebei province. Firstly, according to the present situation of economic growth of Hebeiprovince, per capita GDP was selected as the explanatory variables to measure the economicgrowth; and according to the index data, which is available, we select some indicators asexplanatory variables, to estimate the traditional least square method, based on thetraditional least square method, the choice of spatial econometric model suitable for spatialeconometric analysis; then，Arcgis software is used to build the spatial weight matrix and testthe146counties and cities per capita GDP1990-2012spatial autocorrelation， the globalMoran I and local Moran I’s results showed that， the existence of spatial autocorrelation ofregional economy in Hebei province of Hebei province; finally, economic growth model isestablished, and the Hebei province economic growth model to estimate using linear regression model for the traditional OLS, the estimation results of the choice of spatialeconometric model suitable for the estimation， and compares the final results.The conclusions of this paper are: the variables of the industrial structure of Hebeiprovince, finance income, the consumption level of residents and investment play a positiverole in the development of Hebei province, which indicate that these factors distribute inspace, more reasonable. While, the explanatory variables labor， talent level and residentsavings level have an obviously inhibitory on the development of Hebeiprovince. Finally, draw the conclusion and put forward some suggestions: to solve theproblem of the de-coordinate regional development is by reducing the county (city) thedifference between economic domain; to solve the problem of labor and capital is by inputtingthe investment of education and human, and respecting talents with high education.