信息产业与先进制造业的关联性分析及实证研究

发布时间：2018-06-02 12:18

本文选题：灰色关联分析 + 超效率DEA　；参考：《中国管理科学》2013年S2期

【摘要】：信息产业与先进制造业的互动甚至融合对制造业信息化发展具有重大的关键性的导向作用和推动作用,因此,研究信息产业与先进制造业的关联性具有很强的现实意义。本文首先应用超效率DEA模型对灰色关联模型进行改进,构建超效率DEA——灰色关联模型,克服了属性权重难以客观确定的问题,同时弥补了灰色关联分析模型中权重系数被均一化计算的缺陷。其次,以福建省为例作实证分析,利用该模型以及经典灰色关联模型分别对信息产业与先进制造业进行了关联性分析和比较,实证结果表明所构建的模型是有效的。最后,针对如何合理分配资源以提升福建省先进制造业信息化水平和竞争优势给出了相应的政策建议,以期为促进信息产业与先进制造业的关联互动发展提供参考。
[Abstract]:The interaction and even integration of information industry and advanced manufacturing industry play an important role in guiding and promoting the development of information industry. Therefore, it is of great practical significance to study the relationship between information industry and advanced manufacturing industry. In this paper, the super-efficiency DEA model is first used to improve the grey relational model, and the super-efficiency DEA-gray relational model is constructed, which overcomes the problem that the attribute weight is difficult to determine objectively. At the same time, it makes up the defect that weight coefficient is homogenized in grey relational analysis model. Secondly, taking Fujian Province as an example, the paper analyzes and compares the relationship between the information industry and the advanced manufacturing industry by using the model and the classical grey relational model. The empirical results show that the model is effective. Finally, the paper gives some policy suggestions on how to allocate resources reasonably in order to promote the information level and competitive advantage of the advanced manufacturing industry in Fujian Province, in order to provide a reference for promoting the interactive development of the information industry and the advanced manufacturing industry.
【作者单位】：福州大学管理学院;
【基金】：福建省社会科学规划资助项目(2011B121)
【分类号】：F49;F416;F224

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