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Research On The Spatial-temporal Pattern Of Service Industry And Driving Factors At County Scale In Liaoning Province

Posted on:2018-01-06Degree:MasterType:Thesis
Country:ChinaCandidate:Q WuFull Text:PDF
GTID:2359330515459522Subject:Human Geography
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In 1968,the economist Fox said that the global economy is facing a structural change,the service economy will serve as a new economic form,in the national economy will play a very important role.Now in the era of the outbreak of knowledge economy,the service industry as the main way to adjust the industrial structure,related to the overall trend of economic development.Liaoning Province as the three northeastern provinces of the national economic development of the "pioneer",the service industry will profoundly affect the industrial pattern of Liaoning Province,"re-shaping." However,due to the differences in economic base,industrial division of labor,policy orientation and resource endowment in Liaoning counties,the differences in the gradient of service industry in time and space are more prominent,so the correct and objective development of service industry in each county Spatial distribution pattern and its driving factor evaluation,which is of great significance to narrow the regional non-coordination of service industry.First,from the time dimension analysis,the overall development of service industry in Liaoning Province showed a steady growth trend,the overall score of the service industry increased from-0.000015 in 2002 to 0.000087 in 2015,and the overall trend was increasing year by year.From the local dimension analysis,the ranking trend of local service industry in Liaoning Province varies greatly.Comparison of the development of services in the counties and districts from 2002 to 2015,the ranking of 13 county-level service industries in Zhongshan,Jinzhou,Wafangdian and Faku,and so on.Rock Manchu Autonomous County,Qianshan District,Gaizhou City,Haicheng City,Xifeng County,12 county-level service industry development rankings deteriorating.Secondly,from the spatial dimension analysis,the spatial distribution of the service industry in Liaoning Province shows the agglomeration characteristics,and the Moran's I value in 14 years increased from 0.27 in 2002 to 0.5 in 2015.From the local dimension analysis,the local service industry development in Liaoning Province In the four years,75% are distributed in the southern Liaoning region and 25% in the Liaozhong area.From the spatial structure of the LL distribution,80% of the spatial distribution of the spatial distribution of the(H-H)distribution,Distributed in the western Liaoning region,20% distributed in the northern Liaoning region.Then,from the dynamic dimension analysis,there is a weak positive spatial agglomeration characteristic of the added value of service industry in Liaoning Province,and its correlation has been gradually increased since 2002.The time of Moran's I was from 0,11 in 2002 to 2007,and it was 0.20 in 2007 and 2011,and it was 0.21 from 2011 to 2015.From the local dimension analysis,the spatial agglomeration of local service industry in Liaoning Province showed a trend of leaping growth,But most of the distribution has a strong randomness,in three time periods without a research unit are maintained in the same type of space gathering area.Finally,from the analysis of the driving factor dimension,the regional regression coefficient of the influence of the infrastructure factor on the development of the service industry with Shenyang as the core is the largest,and the maximum value is 0.45 in the Shahekou area of Dalian,the lowest value is 0.35 Urban area;endogenous force on the development of the service industry was "workers" font distribution,the maximum value of 0.46 appeared in Zhuanghe City,the minimum value of 0.03 appeared in Liaoyang City Baita District,both with Xiao soil of the other;The high value of the development of the service industry is concentrated in the northeast of Liaoning and Liaoning in the south and south of the region,the maximum value of 0.63 in the Pulandian City,the minimum 0.33 appeared in Fuxin Haizhou District.
Keywords/Search Tags:service industry, ESDA model, spatial difference, GWR model, driving factor
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