我国大数据概念板块上市公司经营绩效评价
Performance Evaluation of Listed Companies in China’s Big Data Concept Plate
作者: 邢友行 , 黄辉林 ：温州大学数学与信息科学学院，浙江 温州;
关键词: 大数据； 经营绩效； 财务分析； 因子分析； 实证分析； Big Data； Business Performance； Financial Analysis； Factor Analysis； Empirical Analysis
摘要:
本文通过对我国大数据概念板块上市公司的财务指标进行分析，建立了大数据类上市公司经营绩效财务评价模型。我们运用因子分析，对62家大数据板块上市公司进行分析，从众多变量中提取了盈利能力、偿债能力、成长能力、资本保障收益能力、运营能力等5个指标，并在此基础上计算了我国大数据上市公司综合得分并给出了其排名。最后根据实证分析结果，提出了提升我国大数据行业公司经营绩效的对策与建议。
Abstract: This thesis, through the analysis of the financial indicators of listed companies in China's big data concept plate, establishes financial evaluation model of business performance for listed corpora-tions of big data concept plate. We select 62 companies as our samples. By using the method of factor analysis, we not only extract 5 factors such as the profitability, solvency and growth, capital guarantee profitability, operation ability from many variables, but also compute the factor score of every sample company and rank them at the same time. Finally, based on the results of empirical analysis, we put forward countermeasures and suggestions of improving the operating performance of the companies of the big data industry in China.
Abstract: This thesis, through the analysis of the financial indicators of listed companies in China's big data concept plate, establishes financial evaluation model of business performance for listed corpora-tions of big data concept plate. We select 62 companies as our samples. By using the method of factor analysis, we not only extract 5 factors such as the profitability, solvency and growth, capital guarantee profitability, operation ability from many variables, but also compute the factor score of every sample company and rank them at the same time. Finally, based on the results of empirical analysis, we put forward countermeasures and suggestions of improving the operating performance of the companies of the big data industry in China.
文章引用: 邢友行 , 黄辉林 (2017) 我国大数据概念板块上市公司经营绩效评价。 数据挖掘， 7， 16-25. doi: 10.12677/HJDM.2017.71002
参考文献
[1] 李芬, 朱志祥, 刘盛辉. 大数据发展现状及面临的问题[J]. 西安邮电大学学报, 2013, 18(5): 100-103.
[2] 马建光, 姜巍. 大数据的概念、特征及其应用[J]. 国防科技, 2013, 34(2): 10-17.
[3] 姜浩端. 大数据的本质及其可能的影响[J]. 中国经济报告, 2013(6): 18-22.
[4] 蔡莉, 郑美群. 中美企业经营绩效评价的演进及比较研究[J]. 经济纵横, 2003, 19(9): 23-25.
[5] 顾海峰, 李丹. 基于因子分析的中国商业银行经营绩效评价研究——来自2010-2011年上市银行的经验证据[J].金融监管研究, 2013(1), 93-109.
[6] 陶春海. 基于因子分析法的企业经营绩效评价——以我国医药上市公司为例[J]. 江西社会科学, 2012(7): 217-222.
[7] 黄晓斌, 钟辉新. 大数据时代企业竞争情报研究的创新与发展[J]. 图书与情报, 2012(6): 9-14.