运用动态数据包络分析对民营养老企业的效率进行研究

IF 3.2 Q1 BUSINESS, FINANCE Quantitative Finance and Economics Pub Date : 2020-03-31 DOI:10.3934/qfe.2020009
Yonca Erdem Demirtaş, Neslihan Fidan Keçeci
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引用次数: 13

摘要

储蓄在经济学中扮演着重要的角色。私人养老金制度(PPS)帮助个人储蓄,为国家经济做出贡献。因此,了解管理养老基金的民营养老金公司(PPCs)的绩效是非常重要的。数据包络分析(DEA)是一种有用的非参数技术,用于衡量决策单元(dmu)在特定时间或过程中的相对效率。在本研究中,采用动态数据分析(Dynamic DEA)对PPCs在一段时间内的相对效率得分进行了研究,并与传统数据分析(DEA)进行了比较。模型的输入考虑为工人人数、总资产;模型的输出为每个PPC的合同数量、总贡献和市场份额。同时,为了保证动态过程,将股东权益作为准固定的输入数据,在时间间隔内连接连续的期间。我们的研究结果表明,通过考虑连续时期的相互关系的影响,可以提高效率得分。从研究结果中产生的含义对公司的政策很重要。
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The efficiency of private pension companies using dynamic data envelopment analysis
Saving plays an important role in economics. Private Pension System (PPS) helps individuals make savings and contribute to the nation’s economy. Therefore, it is important to know the performance of Private Pension Companies (PPCs) that manage the pension funds. Data Envelopment Analysis (DEA) is one of the useful nonparametric techniques to measure the relative efficiency of Decisions Making Units (DMUs) for a specific time or process. In this study, relative efficiency scores of PPCs are investigated for a time interval with Dynamic DEA and compared with the traditional DEA. Inputs of the model are considered as the number of workers, total assets; and the outputs of the model are the number of contracts, total contribution and the market share of each PPC. Also, to ensure the dynamic procedure, Shareholders’ Equity is used as a quasi-fixed input data to link consecutive periods in the time interval. Our results demonstrate that the efficiency score can be improved by considering the effects of the inter-relations of the consecutive periods. The implications arising from the results of the study are important for the companies’ policies.
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来源期刊
CiteScore
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
期刊最新文献
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