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Research On Resource Allocation Under The Trend Of Coordinated Development In Jing-Jin-Ji Region

Posted on:2018-06-06Degree:MasterType:Thesis
Country:ChinaCandidate:Y N LiFull Text:PDF
GTID:2359330515994863Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
With the fast process of coordinated development in Jing-Jin-Ji area,cooperation between cities become wide and deep,as a result,an important goal for Top-Down Design policy is to promote factor flow between cities in area and improve the efficiency of resource allocation.There are two main ways to improve resource allocation.On micro view,resource allocation of main cities and industries in the area can be improved by adapting advanced technology and adjusting product scale to a proper degree.From macro perspective,via prompting free factor mobility and inducing resource moving from areas of low factor reward to higher ones,we can find a Pareto improvement of resource allocation in the area.The paper based on economic theories including coordinated development and resource allocation.Firstly we focus on relevant documents and divided them into three parts consists of study on coordinated development of regional economy,efficiency of regional resource allocation and influence factors.Secondly,we analyze general state of resource allocation in Jing-Jin-Ji area by calculating total factor productivity(TFP)via Solow Residual Method and observe its variation tendency,from which we find among the factors input,capital contribute largely to the growth of GDP,then goes to labour,the contribution of TFP tend to decline in general.Thirdly,by measuring economic relation intensity between cities in the area through Gravitational Model of Cities,we analyze the process of coordinated development in Jing-Jin-Ji area,and discover that in the area,Beijing,Tianjin,Tangshan,Langfang and Shi Jiazhuang have strong economic links with the others.Later,in order to analyze utilization efficiency of input factor,we introduce DEA to calculate possible saving for input factor without reducing output,and further decompose technical efficiency(TE)into pure technical efficiency(PFE)and scale efficiency(SE).Generally speaking,the utilization efficiency of factors in Jing-Jin-Ji area can be improved,compare to other factors,large amount of capital input can be saved.Judging from the efficiency score of cities,the score of Tangshan,Qin Huangdao,Cangzhou and Hengshui are above 0.9 in average,which means a efficient state of resource allocation.The score of Zhang Jiakou,Tianjin,Baoding,Xingtai and Chengde are below0.8,which means low efficiency of resource allocation.Judging from the consequence of efficiency decomposition,the misallocation of Tianjin is caused by oversize product scale.The score of SE in Shi Jiazhuang,Baoding and Handan is equal to 1,the misallocation are mainly caused by PTE,the misao cation in Xingtai,Zhang Jiakou and Chengde are caused by the combine action of SE and PTE.Finally,base on the results of Economic Gravity Model and DEA,we analyze the influence of factor flow to resource allocation and put forward a way of Pareto improvement for the resource allocation in Jing-Jin-Ji area.By using economic relation intensity of cities as weights,we assume that the over-input factors are all gathering in Beijing,Tangshan and Langfang where the score of TE is full and the conditions of reward of scale are constant.Conclusion shows that if factors flow freely,the resource allocation of Beijing,Tangshan and Langfang in 2004 can get further improved without decreasing the output of any city in the area,thus there is a Pareto improvement for resource allocation in Jing-Jin-Ji area.On one hand,cities in the region should improve the utilization of input factors by adapting advanced technology and pattern of production and adjusting their production to proper scale,trying to make full use of the oversize input in the process of development.Meanwhile,Government should push forward the process of traffic integration and introduce policies on prompting regional cooperation to clear up barriers for resource allocation.
Keywords/Search Tags:resource allocation, Solow resident, gravitational model, Pareto improvement
PDF Full Text Request
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