摘要
以A股上市的34家物流公司为研究对象,利用2013—2017年面板数据,选取了11个财务指标作为基础性指标,采用Topsis法改进后的因子分析模型对公司进行评价研究.结果表明,物流上市公司的最优因子方案贴近度分布于0.3~0.8,仅17.65%的物流上市公司最优因子方案贴近度高于0.7,表明国内不少物流上市公司的投资价值还存在较大提升空间.
34 listed logistics companies on A-share market were chosen as the research subjects,and using the panel data from 2013 to 2017,11 financial indicators of greater scientificity and rationality were chosen to be the basic indicators,and the factor analysis model,improved by the Topsis method,was adopted to conduct the evaluation research of the company.The improved factor Analysis is fit to treat panel data,which overcomes the restriction of the inability to put together all the yearly comprehensive scores of the previous method,making the evaluation results more comprehensive and self-evident.The results show that about 82.35%of the Listed Logistics Companies in China have the closeness degree of the optimal factor schemes ranging from 0.3 to 0.7;only 17.65%of the Listed Logistics Companies in the study sample have the closeness degree of the optimal factor schemes greater than 0.7,indicating that the investment value of the Listed Logistics Companies in China has ample room for improvement.
作者
祝静远
刘莉
ZHU Jingyuan;LIU Li(School of Economics,Anhui University of Finance and Economics,Bengbu,Anhui 233030,China;School of Finance,Anhui University of Finance and Economics,Bengbu,Anhui 233030,China)
出处
《内江师范学院学报》
2019年第8期94-99,共6页
Journal of Neijiang Normal University
基金
国家自然科学基金项目(71773001)
安徽省自然科学基金项目(1508085QG145)
安徽省高校人文社科重点研究项目(SK2017A0442)
