基于TOPSIS理论的因子分析模型在服务业发展中的应用研究

发布时间：2018-03-15 02:25

本文选题：面板数据　切入点：因子分析　出处：《西南师范大学学报(自然科学版)》2017年09期 　论文类型：期刊论文

【摘要】：针对已有文献面板数据因子分析模型在实际应用中存在的不足,将每一年综合得分最高和最低的截面数据因子分别作为最优和最劣向量,通过TOPSIS理论求出每个研究对象的最优因子方案接近度.以中国的服务业发展为例,用模型的最优因子方案接近度来描述各个地区服务业发展状况,研究发现多数省份服务业发展与最优因子方案接近度相差较大.
[Abstract]:In view of the shortcomings of the existing literature panel data factor analysis model in practical application, the section data factors with the highest and lowest comprehensive scores in each year are regarded as the optimal and the worst vectors, respectively. The approach degree of the optimal factor scheme for each research object is obtained by TOPSIS theory. Taking the development of service industry in China as an example, the development of service industry in various regions is described by the approach degree of the optimal factor scheme of the model. It is found that the closeness between the service industry development and the optimal factor scheme in most provinces is quite different.
【作者单位】：北京工业大学应用数理学院;遵义师范学院数学与计算科学学院;
【基金】：国家自然科学基金项目(71461027) 贵州省自然科学基金项目(黔教合KY[2014]295) 贵州省科技合作计划课题(黔科合LH字[2015]7055号) 贵州省优秀青年科技人才培养对象专项资金(黔科合人字[2015]06号)
【分类号】：F224;F719

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