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  • 标题:The efficiency of private pension companies using dynamic data envelopment analysis
  • 本地全文:下载
  • 作者:Setiawan Putra Syah ; Irma Isnafia Arief ; Epi Taufik
  • 期刊名称:Quantitative Finance and Economics
  • 电子版ISSN:2573-0134
  • 出版年度:2020
  • 卷号:4
  • 期号:2
  • 页码:204-219
  • DOI:10.3934/QFE.2020009
  • 语种:English
  • 出版社:AIMS Press
  • 摘要: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.
  • 关键词:network DEA;dynamic DEA;pension companies;efficiency analysis;quasi-fixed inputs
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