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Study On The Spatial Correlation Of Provincial Informatization Development And Its Nonlinear Influence To Economic Growth In China

Posted on:2020-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y F ZhangFull Text:PDF
GTID:2439330620956740Subject:Statistics
Abstract/Summary:PDF Full Text Request
In recent years,China's informatization level has been greatly improved.However,due to the influence of different geographical locations,different degrees of traffic convenience and large differences in economic development level in different provinces,the development of informatization in different provinces is uneven.This unbalanced state,in turn,will not only restrain the overall growth rate of China's economy,but also cause the expansion of regional economic development differences.Therefore,in order to break this unbalanced state,it is of great practical significance to deeply study the spatial correlation of provincial informatization development and its influence on economic growth.The main research contents of this paper include:(1)Descriptive statistical analysis is carried out on the informatization development level of the whole country and each province;(2)The national and provincial information society index(ISI)was used as the basic data for analysis.The VAR model of two provinces was established and Granger causality test was conducted.Finally,the spatial correlation matrix of informatization development in China's provinces was obtained.By using the network analysis method,a spatial correlation network for the development of informatization in China is established.The general characteristics and internal individual centrality of the network are analyzed,and the block model of informatization development in Chinese province is analyzed;(3)based on the QAP method,this paper analyzes the influencing factors of spatial correlation of informatization development in China's provincial regions,as well as the correlation of various influencing factors;(4)to investigate whether the GDP of different provinces in China is correlated in geographical space.A partially linear single exponential space lag panel model is proposed.Monte carlo simulation was performed for this model.And the above model is used to study the nonlinear influence of information elements on China's economic development.The main conclusions of the paper include:(1)The development of informatization in different provinces in China has a strong spatial correlation,and the spatial correlation network is complex.Different provinces have different positions and roles in the network,and the information flow between different sectors is strong.(2)The spatial relevance of the development of informatization in China's provincial areas is strongly correlated with the development similarity of the four fields of information economy,network society,online government and digital life,but weakly correlated with the spatial adjacency;The development of digital life,information economy and network society is highly correlated,and the three have overlapping effects on the spatial correlation of information development.In terms of the degree of similarity among per capita GDP,human resources,industrial structure,development mode,social development,online government and the development of digital life,seven influencing factors can explain 52% of the spatial linkage of informatization development in China.(3)the section maximum likelihood estimation method of the partially linear single exponential space lag panel model is introduced and constructed.(4)Moran's I test statistics show that the GDP of different provinces in China has a spatial correlation.Regression results of the partially linear single-exponential spatial lag panel model with a determination coefficient of 0.9523 show that: different degrees of influence on economic growth are capital factor >information level factor > labor force factor,which fully shows that the development of information technology can greatly promote the development of economy.
Keywords/Search Tags:Information development, Economic growth, Spatial relevance, Network analysis, QAP analysis, Nonlinear effect, Partial linear single exponential space lag panel model
PDF Full Text Request
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