黑龍江省產(chǎn)業(yè)集群競爭力評價
發(fā)布時間：2018-12-14 03:53
【摘要】： 隨著區(qū)域經(jīng)濟一體化進程的推進,產(chǎn)業(yè)集群作為一種新型的經(jīng)濟模式,對經(jīng)濟發(fā)展的推動作用日益增強。黑龍江省作為東北老工業(yè)基地之一,由于經(jīng)濟體制落后、經(jīng)濟結(jié)構(gòu)單一等原因,其產(chǎn)業(yè)集群的發(fā)展存在著諸多問題。正確評價黑龍江省產(chǎn)業(yè)集群競爭力,進一步分析制約其競爭力提高的影響因素,對黑龍江省經(jīng)濟發(fā)展具有重要意義。 本文在闡述產(chǎn)業(yè)集群和產(chǎn)業(yè)集群競爭力內(nèi)涵的基礎(chǔ)上,對國內(nèi)外學者的研究成果進行了梳理。確定了產(chǎn)業(yè)集群競爭力的評價指標選擇的原則與基準,結(jié)合指標的篩選方法,建立了包括企業(yè)平均規(guī)模、資金利稅率、產(chǎn)值利稅率、全員勞動生產(chǎn)率、工業(yè)增加值率、市場占有率、流動資金周轉(zhuǎn)次數(shù)、產(chǎn)品銷售率、三廢綜合利用產(chǎn)品產(chǎn)值在內(nèi)的評價指標體系。通過分析指標賦權(quán)的各種方法,確定采用主成分分析法計算權(quán)重;闡述了產(chǎn)業(yè)關(guān)聯(lián)和蜘蛛圖法的原理和步驟,確立了以蜘蛛圖模型作為黑龍江省產(chǎn)業(yè)集群競爭力評價模型。在此基礎(chǔ)上,運用區(qū)位商法識別出裝備制造、石油化工、能源、食品、醫(yī)藥五大集群。利用投入產(chǎn)出表,從直接關(guān)聯(lián)效果方面分析了產(chǎn)業(yè)之間的關(guān)聯(lián)效應,運用蜘蛛圖模型對各個集群的競爭力分別進行了測算和分析。結(jié)合產(chǎn)業(yè)關(guān)聯(lián)和基于蜘蛛圖模型的競爭力分析結(jié)果,提出了加強黑龍江省各產(chǎn)業(yè)集群競爭力的對策建議。
[Abstract]:With the advancement of regional economic integration, industrial clusters, as a new economic model, play an increasingly important role in promoting economic development. As one of the old industrial bases in Northeast China, there are many problems in the development of industrial clusters in Heilongjiang Province due to the backward economic system and single economic structure. It is of great significance for the economic development of Heilongjiang Province to evaluate correctly the competitiveness of industrial clusters in Heilongjiang Province and further analyze the influencing factors that restrict the improvement of its competitiveness. On the basis of expounding the connotation of industrial cluster and industrial cluster competitiveness, this paper combs the research results of domestic and foreign scholars. The principles and benchmarks of the evaluation index selection for the competitiveness of industrial clusters are determined. Combined with the selection method of the indicators, the average size of the enterprise, the rate of capital interest and tax, the profit and tax rate of output value, the labor productivity of all staff, and the rate of industrial added value are established. Market share, circulating capital turnover times, product sales rate, three wastes comprehensive utilization of product output value evaluation index system. Through the analysis of various methods of index weighting, the principal component analysis method is used to calculate the weight, the principle and steps of industrial association and spider map method are expounded, and the spider graph model is established as the evaluation model of industrial cluster competitiveness in Heilongjiang province. On this basis, five clusters of equipment manufacturing, petrochemical, energy, food and medicine are identified by using location quotient method. By using the input-output table, this paper analyzes the correlation effect between industries from the aspect of direct correlation effect, and calculates and analyzes the competitiveness of each cluster by using spider graph model. Based on the results of industry correlation and competitiveness analysis based on spider graph model, the countermeasures and suggestions for strengthening the competitiveness of various industrial clusters in Heilongjiang Province are put forward.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2008
【分類號】：F279.2
本文編號：2377870
[Abstract]:With the advancement of regional economic integration, industrial clusters, as a new economic model, play an increasingly important role in promoting economic development. As one of the old industrial bases in Northeast China, there are many problems in the development of industrial clusters in Heilongjiang Province due to the backward economic system and single economic structure. It is of great significance for the economic development of Heilongjiang Province to evaluate correctly the competitiveness of industrial clusters in Heilongjiang Province and further analyze the influencing factors that restrict the improvement of its competitiveness. On the basis of expounding the connotation of industrial cluster and industrial cluster competitiveness, this paper combs the research results of domestic and foreign scholars. The principles and benchmarks of the evaluation index selection for the competitiveness of industrial clusters are determined. Combined with the selection method of the indicators, the average size of the enterprise, the rate of capital interest and tax, the profit and tax rate of output value, the labor productivity of all staff, and the rate of industrial added value are established. Market share, circulating capital turnover times, product sales rate, three wastes comprehensive utilization of product output value evaluation index system. Through the analysis of various methods of index weighting, the principal component analysis method is used to calculate the weight, the principle and steps of industrial association and spider map method are expounded, and the spider graph model is established as the evaluation model of industrial cluster competitiveness in Heilongjiang province. On this basis, five clusters of equipment manufacturing, petrochemical, energy, food and medicine are identified by using location quotient method. By using the input-output table, this paper analyzes the correlation effect between industries from the aspect of direct correlation effect, and calculates and analyzes the competitiveness of each cluster by using spider graph model. Based on the results of industry correlation and competitiveness analysis based on spider graph model, the countermeasures and suggestions for strengthening the competitiveness of various industrial clusters in Heilongjiang Province are put forward.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2008
【分類號】：F279.2
【引證文獻】
相關(guān)碩士學位論文 前3條
1 王玲玲;舟山船舶產(chǎn)業(yè)集群競爭力研究[D];浙江海洋學院;2011年
2 李玉倩;廣西北部灣經(jīng)濟區(qū)產(chǎn)業(yè)集群發(fā)展中的政府行為研究[D];廣西師范學院;2011年
3 白銀;榆林能源化工產(chǎn)業(yè)集群競爭力研究[D];西安科技大學;2012年
，本文編號：2377870
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