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Spatial Econometric Analysis On Industrial Economic Growth In Jilin Province

Posted on:2020-01-11Degree:MasterType:Thesis
Country:ChinaCandidate:J X DaiFull Text:PDF
GTID:2439330599453934Subject:Statistics
Abstract/Summary:PDF Full Text Request
With the steady development of the domestic industrial economy,the economic development of the old industrial bases in Northeast China has also undergone a rising stage.This paper sorts out the research results of Gross Industrial Output Value and GDP researched by scholars at home and abroad,and conducts unit root test and cointegration test on the data to study the long-term equilibrium relationship of industrial economic growth in various regions of Jilin Province.Since the development of regional economy in Jilin Province is not only affected by internal factors,the economic development of neighboring regions also affects economic growth,so we need to study the spatial interrelationships between regions.In the spatial correlation analysis,it is found that there is a significant spatial agglomeration feature of urbanization and economic growth in various regions,which means that there is spatial dependence and spatial autocorrelation of economic growth among various regions in Jilin Province.This paper selects the Gross Industrial Output Value and GDP data of nine regions in Jilin Province from 1998 to 2015.By establishing a VAR model and then using the impulse response method and variance decomposition method to analyze the model to prove whether there is a correlation between Gross Industrial Output Value and GDP in economic growth in Jilin Province.Based on the Granger causality test,we can verify the actual data and the results of the quantitative analysis.The spatial model is built based on the actual GDP growth rate of Jilin Province and the growth rate of industrial output value of Jilin Province.The spatial autoregressive model is constructed by panel data.Then we analyze the factors affecting the industrial economic growth of Jilin Province and the spatial correlation test between the regions.By increasing the government’s economic support for backward areas,increasing the intensity of opening up to the outside world,optimizing the layout of the regions.The strategic deployment of accelerating the sustainable development of the industrial economy has enabled the living standards of residents in various regions of the country to be improved more quickly.
Keywords/Search Tags:Economic growth, Gross industrial production, Gross domestic product, VAR model, Spatial measurement model
PDF Full Text Request
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