mba論文南京市產(chǎn)業(yè)集聚與區(qū)域經(jīng)濟競爭力的互動關(guān)系研究pdf

1、南京航空航天大學(xué)博士學(xué)位論文南京市產(chǎn)業(yè)集聚與區(qū)域經(jīng)濟競爭力的互動關(guān)系研究姓名：石斌申請學(xué)位級別：博士專業(yè)：管理科學(xué)與工程指導(dǎo)教師：劉思峰2010-03南京市產(chǎn)業(yè)集聚與區(qū)域經(jīng)濟競爭力的互動關(guān)系研究IIAbstract Abstract Abstract AbstractThe development of regional industry cluster proved that industrial cluster can promot

2、e regionaleconomic effectively and improve the comprehensive competitiveness of area. At the same time,enhance regional economic competitiveness will further promote the cluster of related advantagesindustrial. They have

3、 important theoretical value and practical significance that research themechanism of interaction between industry cluster and regional economic and measure its relevancequantitatively. This thesis researches the mechani

4、sm of interaction between industry cluster andregional economic, and researches how to measure its relevance and development trend. At last, weapply the results of a series of theoretical innovation in empirical study of

5、 interaction betweenindustrial cluster and regional economic competitiveness in Nanjing. Main achievements in this thesisare as follows:(1) This thesis analyses the development status of industrial clusters and regional

6、development ofeconomic competitiveness in Nanjing. In this paper, the status of industrial agglomeration in Nanjingis analyzed from the aspects of basics, opportunities, characteristics and problems. Analyze thesuperiori

7、ty and problems of regional economic competitiveness according to the comparison betweenNanjing and other developed cities outside Jiangsu province. It shows the status of industrial clustersand regional economic competi

8、tiveness.(2) This thesis puts forward an improved degree of Grey Slope Incidence, theoretically proves thatthis incidence degree has reached the pertinence, symmetry, uniqueness and comparability, andestablishes an analy

9、zed module based on the improved Grey Slope Incidence degree. Proposedrecursion solutions and optimized method of Unbiased Grey Prediction Model, and get two basicunbiased models and four optimized models. The optimized

10、results based on different initialconditions show that two kinds of optimized methods have the same simulate prediction value underthe same guide line. These have enriched and developed quantitative analysis theory of th

11、e interactionbetween industrial cluster and regional economic competitiveness.(3) Empirical research of the interaction between industrial cluster and regional economiccompetitiveness in Nanjing has been studied here. Fi

12、rstly, this thesis analyzes the inter-simulativeeffect mechanism between industrial cluster and regional economic competitiveness, and establishesthe conceptual model and indicator system of the interaction. And then cal