基于DEA及LOGIT的钢铁上市公司财务绩效评价研究

发布时间：2018-06-13 06:09

本文选题：财务绩效评价 + 数据包络分析　；参考：《江苏科技大学》2017年硕士论文

【摘要】：本文首先对钢铁行业的发展背景进行了分析,接着进行了文献综述和对财务绩效评价的相关理论的回顾。在对财务绩效评价方法进行了优缺点对比分析的基础上,使用数据包络分析(DEA)作为财务绩效评价的研究方法。其次,根据《上市公司分类指引》和样本选择的原则,确定选择31家钢铁上市公司作为研究样本。在指标选择原则的基础上,结合财务报表中的指标和以往学者选择的指标,确定选择总资产、主营业务成本、职工人数三个输入指标,主营业务收入、净利润和每股收益三个输出指标,构建财务绩效评价体系。其次,使用DEAP2.1软件对31家钢铁上市公司2011-2015年的数据进行处理,并从综合效率、纯技术效率、规模效率、规模报酬和分区域平均效率展开详细的分析。分析结果表明:钢铁行业整体综合效率一般,纯技术有效性表现良好,规模效率有所改善,大部分的企业向规模报酬不变或者规模报酬递减方面转变,效率存在区域差异,东部地区的综合效率和纯技术效率较高。并在此基础上,将DEA综合效率分析结果作为因变量,将DEA中输入因素:总资产、主营业务成本和职工人数作为自变量进一步进行二元LOGIT回归分析,结果表明:在其他条件不变的情况下,总资产对企业综合效率产生正向显著影响,职工人数产生负向显著影响,主营业务成本影响不显著。最后,根据分析结果,结合我国的钢铁发展状态,提出以下建议:加大科研投入,培养创新能力,提高核心竞争力。推进钢铁企业兼并重组,提高产业集中度。落实节能减排制度,淘汰落后产能。加强人员管理,提高企业内部管理水平和加大中西部地区钢铁企业的支持。
[Abstract]:In this paper, the background of the development of iron and steel industry is analyzed, and then the literature review and the related theories of financial performance evaluation are reviewed. Based on the comparative analysis of the advantages and disadvantages of the methods of financial performance evaluation, data Envelopment Analysis (DEA) is used as the research method of financial performance evaluation. Secondly, 31 steel listed companies are selected as the research samples according to the classification guidelines of listed companies and the principle of sample selection. On the basis of the principle of index selection, combined with the index in the financial statement and the index chosen by the scholars in the past, three input indexes, the total assets, the main business cost, the number of employees, the main business income, are determined. Net profit and earnings per share three output indicators to build a financial performance evaluation system. Secondly, the data of 31 listed steel companies from 2011 to 2015 are processed with DEAP2.1 software, and detailed analysis is carried out from the aspects of comprehensive efficiency, pure technical efficiency, scale reward and average sub-regional efficiency. The results show that the overall comprehensive efficiency of iron and steel industry is general, the pure technical efficiency is good, the scale efficiency has been improved, and most enterprises have changed to the aspect of constant scale return or decreasing scale return, and there are regional differences in efficiency. The comprehensive efficiency and pure technical efficiency of the eastern region are higher. On this basis, the results of DEA comprehensive efficiency analysis are taken as dependent variables, and the input factors: total assets, main business costs and the number of employees are taken as independent variables to further carry out binary log regression analysis. The results show that under other conditions, the total assets have a positive and significant impact on the overall efficiency of the enterprise, the number of employees has a negative and significant impact, and the main business cost has no significant impact. Finally, according to the analysis results, combined with the status of iron and steel development in China, the following suggestions are put forward: increasing scientific research investment, cultivating innovation ability and improving core competitiveness. Promote the merger and reorganization of iron and steel enterprises and improve the degree of industrial concentration. Implement energy conservation and emission reduction system and eliminate backward production capacity. Strengthen personnel management, improve the internal management level of enterprises and increase the support of iron and steel enterprises in the central and western regions.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.31;F406.7

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