摘要
纺织业是我国传统性支柱产业,在发展中逐渐形成了产业集聚的空间形态,产业集聚对集聚地有重要的影响。本文对区位熵进行改进,结合经济和规模区位熵的理念,提出了二维区位熵的概念,测量我国26个地区2011年、2013年纺织业集聚水平,结果发现:二维区位熵精准效果较好,我国纺织业集聚并不是完全的东高西低格局,中西部纺织业集聚水平正在逐渐向东部靠拢。基于DEA效率评价,提出了二阶段DEA对纺织业系统集聚效率进行评价,结果发现第一阶段集聚效率与投入之间存在倒"U"型关系,第二阶段集聚效率与投入之间并不是完全的正比关系。最后,根据效率评价结果提出调整集聚规模,科学制定产业集聚区规划、鼓励创新,加大技术投入、东中西部协作发展3项建议。
Textile industry is the traditional pillar industry in our country,and it gradually formed the spatial form of the industrial agglomeration which has important effects on agglomeration areas.On the basis of the original location entropy improved,and according to the concept of location entropy of economy and scale,this paper puts forward the concept of two dimensional location entropy to analyze the present agglomeration situation of textile industry for our country,26 areas,in 2011,2013,results found:the effects of two dimensional location entropy are better,the textile industry agglomeration in our country is not a complete pattern of East high,West low,and the textile industry agglomeration level in Midwest is close to the Eastern areas.On the basis of DEA efficiency evaluation,this paper puts forward the two-phase DEA to evaluate textile industry agglomeration efficiency,it is found that the first phase agglomeration efficiency has the inverted "U"shaped relationship with the inputs,the second phase agglomeration efficiency has not the fully proportional relationship with inputs.Finally,according to the results of efficiency evaluation,this paper puts forward three suggestions:adjusting the agglomeration scale and scientifically developing industrial agglomeration plans,encouraging innovation and increasing investment in technology,collaborating East's development with Midwest's.
出处
《工业技术经济》
北大核心
2015年第12期21-29,共9页
Journal of Industrial Technological Economics
基金
安徽省高校人文社科重点研究基地重点项目"区域产业转移的综合协同效应研究--基于皖江城市带承接产业转移的实证"(项目编号:JS2015AJRW0115)
关键词
纺织业
产业集聚
二维区位熵
DEA效率评价
集聚效率
集聚规模
textile industry
industrial agglomeration
two dimensional location entropy
DEA efficiency evaluation
agglomeration efficiency
agglomeration size