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Analysis Of The Influence Of Regional Economic Development Disparity In Guangxi Based On Spatial Panel Data Model

Posted on:2019-11-26Degree:MasterType:Thesis
Country:ChinaCandidate:L Y ShenFull Text:PDF
GTID:2429330566975735Subject:Applied Statistics
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In recent years,the state has put forward some opinions and policies on the development of Guangxi's economy.Guangxi is located at the intersection of the eastern,central and western regions of C hina's mainland,and it is also the integration of the three economic circles of South China,Southwest,and ASEAN.Especially,in the establishment of the China-ASEAN Free Trade Area and the promotion of regional cooperation in the Pan-Pearl River Delta,Guangxi will become a hub linking the southwestern,southern,middle-south and large ASEAN markets,and play an important strategic ro le.Under this background,the study of Guangxi's regional economic development has certain practical significance.This paper uses spatial statistical analysis methods to analyze and study the level of influencing factors and the spatial dynamic developme nt of economic development in 14 cities in Guangxi during 2006-2016.Further understanding of the relevant characteristics of regional economic development,analysis of Guangxi economic factors and their differences,in order to targeted adjust Guangxi's development strategies and measures.Further understanding of the relevant characteristics of regional economic development,this paper establishes a space panel model,considers time and space factors,analyzes the factor influencing Guangxi's economy and their differences,so as to make targeted adjustments to Guangxi's development strategies and measures.Firstly,spatial correlation analysis of 2006-2016 years' cross-sectional data in Guangxi is carried out.The spatial correlation and spatial dynamic development process are studied by using four bitmap,Moran exponent and local Moran index.The results show that there is a significant spatial correlation between the economic development of Guangxi and western regions since 2012.For the local spatial co rrelation,the spatial correlation of Laibin is remarkable from 2006 to 2016,showing low local attribute values and high attribute values in the adjacent areas;the spatial correlation of Nanning is significant from 2012 to 2016,showing high local attrib utes and low attribute values in adjacent areas.Secondly,the spatial panel data model is established by using the economic development data of Guangxi in 2006.To determine whether to use the spatial lag model or the spatial error model,we use the Moran's I test,the Lagrange multiplier LMERR,and the LMLAG test.The Hausman test is used to determine whether to use the panel fixed effect model or the panel random effect model.The regression diagnosis in this paper shows that the spatial lag model is more pronounced.The Hausman test results show that the random effect of the panel selection is more appropriate.The analysis of spatial lag variable stochastic effect model shows that the economic structure and the spatial spillover effect have a significant positive impact on the regional economy of Guangxi,and the government consumer spending has a significant negative impact on the regional economy of Guangxi,while the urbanization level,fixed investment and the opening level have no significant impact on the regional economy of Guangxi.In conclusion,Guangxi economy is spatially negatively related.Nanning and Laibin are particularly significant,which leads to economic differences.So,Guangxi should adjust influence of Nanning's economic to drive the economic development of surrounding cities.As for the influencing factors,Guangxi should improve the efficiency of investment use,give better play to geographical advantages,maintain the rationalization of industrial structure,adjust measures to local conditions,develop characteristic economy,give full play to the spatial effects,and improve Guangxi's economic development.
Keywords/Search Tags:Spatial panel data model, Spatial correlation, Spatial lag model, Regional economic development
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