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The Effects On Innovation Ability Of The High Tech Industry In Cities Based On House Price Rising

Posted on:2018-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:X L LiuFull Text:PDF
GTID:2429330569485637Subject:Land Resource Management
Abstract/Summary:PDF Full Text Request
Since China's full implementation of the commercialization of housing in 1998,The real estate industry has entered a stage of rapid development,the overall price had risen up all the way.The rising price on the one hand promotes the development of related industries and accelerate the pace of development of the national economy.On the other hand,it continues to attract capital,labor and land elements to invest in the real estate industry,playing a significant impact on the high-tech industry.How does the impact of rising prices on the innovation ability of high-tech industry? What are the spatial and temporal trends of this effect?Based on the relevant data of 16 China municipalities and sub provincial city from 2006 to 2015 about prices and high tech industry,this paper explores the path of innovation capacity of high-tech industry that house price rising influence and internal mechanism from the macro,meso and micro comprehensive.The random effects model and the Kuznets curve are used to recovered regional difference and long-term dynamic trajectory with space and time dimensions of housing prices impact on the high-tech industry innovation ability.In order to clarifying the high-tech industry innovation ability development and providing references for promoting the steady development of the national economy.Based on this,this paper draws the following four conclusions:First,the high-tech industry innovation includes innovation investment ability and innovation output capability.Innovation resources input ability mainly depends on scientific research personnel input intensity,R& D input intensity,the per capita funding for research and innovation and the innovation scale,production capacity is patent transformation number,torch project number,achievement rate of return on equity,and the international recognition of the comprehensive embodiment;Secondly,housing prices impact on the high-tech industry innovation ability mainly through the three basic elements of innovation,labor,capital and land to transfer.At the same time,the production department,the household sector,the service sector also influence innovation ability from outside;Thirdly,by the random effects model,the current housing prices showed effects on the innovation capacity of high-tech industry in the city is inhibition,and a regional differences of the eastern and western regions,the inhibition range were 15.65%,12.52% and 20.32%,"on both sides is high,middle is low" pattern is obvious.Particularly,the degree of inhibition in Chengdu and Xi'an is the highest,the weakest inhibitory effect is in Wuhan;Fourthly,From a long-term point of view the effect of rising house prices on the innovation capacity of high-tech industry in the city matches Kuznets curve,namely the coexistence of facilitation and inhibition.But it is still inhibited by dominant in the long run.
Keywords/Search Tags:House Price Rising, Innovation Ability, Random Effect, Kuznets Curve, Spatial Variation
PDF Full Text Request
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