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Efficiency of Australian superannuation funds: a comparative assessment

机译:澳大利亚养老基金的效率:比较评估

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Purpose - The purpose of this paper is to measure efficiency of superannuation funds using data envelopment analysis (DEA), using data related to financial performance of superannuation funds. The sample comprises 183 superannuation funds covering approximately 79 per cent of the 231 largest Australian Prudential Regulation Authority (APRA)-regulated funds in 2012. The research covers a period of seven years from 2005 to 2012. The results indicate that most Australian superannuation funds are inefficient relative to the benchmark efficiency frontier based on efficient funds. The findings emphasise the importance of improving the efficiency of Australian superannuation funds by reducing overall fund expenses to narrow the gap in performance between efficient and inefficient funds. Design/methodology/approach - This study aims to contribute to policy, theory and practice in several dimensions. Member protection and the efficiency of the superannuation system are topical issues (Donald, 2009). Despite its importance from a regulatory point of view, efficiency has only been discussed in relation to operational issues such as managing agency relationships, fees and charges, investment return or economies of scale. The relative efficiency of the Australian superannuation system from an economic productivity perspective has rarely been examined, except for a study by Njie (2006), where the Malmquist productivity DEA technique was used to measure the efficiency of Australia's retirement income system. Findings - Most inefficient funds had very low efficiency scores and were fell into the lower quintiles such as Quintiles 4 (scored 0.200-0.399) and 5 (scored 0.001-0.199). Consequently, input reduction targets were significantly higher for these two quintiles. Similarly, input reduction targets were high under the period DEA estimates. In order to be comparatively efficient, Quintile 4 funds were required to reduce total expenses by 75 per cent (-0.754) and volatility of return by 80 per cent (-0.801). Similarly, Quintile 5 funds needed to reduce total expenses by, on average, 83 per cent (-0.824) and volatility of return by 89 per cent (-0.894). Research limitations/implications - As in other empirical research, this study also depended heavily on the data collected from the secondary sources such as APRA database and other financial reports. The issues of measurement errors in data sources such as APRA database are well documented (see, e.g. Cummins, 2012). This issue needs the attention of future research on the efficiency of superannuation funds. Practical implications - The findings on individual year DEA estimates indicate that most funds were inefficient due to high expenses. Therefore, mandatory disclosure of fees and charges in a comparable manner may be necessary to justify fee payments and to address transparency and accountability issues, which are critical issues identified by the Cooper Review and the academic literature (Australian Government, 2014; Cooper et aL, 2010; Gallery and Gallery, 2006). Social implications - The issue of Australian superannuation funds concentrating the majority of fund assets in highly volatile investment vehicles such as the share markets has been in the spotlight in the aftermath of the global financial crisis. There have been proposals to better diversify superannuation assets in other asset classes (Cooper et al., 2010). Originality/value - This study contributes to the current literature on superannuation funds by investigating efficiency. As efficiency studies using DEA have not been conducted on the Australian superannuation industry, this study also contributes to the academic literature on DEA and its extensive applications to various economic sectors. Efficiency scores using DEA, ranking, trends and shifts in the efficiency frontiers could be obtained for Australian superannuation funds on an on-going or annual basis.
机译:目的-本文的目的是使用数据包络分析(DEA),使用与养老基金财务绩效相关的数据来衡量养老基金的效率。该样本包括183个养老金基金,占2012年澳大利亚最大的审慎监管局(APRA)监管基金的231%,该研究涵盖了从2005年到2012年的7年。结果表明,大多数澳大利亚养老金基金都是相对于基于有效资金的基准效率边界而言,效率较低。调查结果强调了通过减少总体基金支出以缩小高效基金与低效率基金之间的绩效差距来提高澳大利亚退休金基金效率的重要性。设计/方法/方法-这项研究旨在在多个方面为政策,理论和实践做出贡献。成员保护和养老金体系的效率是热门话题(Donald,2009年)。尽管从监管的角度来看它很重要,但效率仅与运营问题有关,例如管理代理关系,费用和收费,投资回报或规模经济。从经济生产率的角度来看,澳大利亚养老金制度的相对效率很少得到检验,只有Njie(2006)的一项研究除外,该研究使用马尔姆奎斯特生产率DEA技术来衡量澳大利亚退休收入体系的效率。调查结果-大多数效率低下的基金效率得分非常低,并落入了较低的五分位数,例如昆泰4(得分为0.200-0.399)和5(得分为0.001-0.199)。因此,这两个五分位数的投入减少目标明显更高。同样,在DEA期间估算中,减少投入的目标很高。为了提高效率,要求昆泰4基金将总支出减少75%(-0.754),并将收益波动率减少80%(-0.801)。同样,Quintile 5基金需要将总支出平均降低83%(-0.824),并将收益波动率降低89%(-0.894)。研究局限性/含义-与其他实证研究一样,本研究也严重依赖于从辅助资源(例如APRA数据库和其他财务报告)中收集的数据。数据源(例如APRA数据库)中的测量误差问题已得到充分记录(例如,见Cummins,2012)。这个问题需要关于养老金效率的未来研究的关注。实际意义-逐年DEA估计的结果表明,大多数资金由于支出高而效率低下。因此,可能有必要以可比的方式强制性披露费用,以证明费用支付的合理性并解决透明度和问责制问题,这是《库珀评估》和学术文献确定的关键问题(澳大利亚政府,2014年;库珀等, 2010;画廊和画廊,2006)。社会影响-在全球金融危机过后的今天,澳大利亚养老基金的问题主要是将大部分基金资产集中在股票市场等高度波动的投资工具中。已经提出了更好地使其他资产类别的养老金资产多样化的建议(Cooper等,2010)。原创性/价值-本研究通过调查效率为当前有关养老金的文献做出了贡献。由于尚未对澳大利亚退休金行业进行使用DEA的效率研究,因此该研究也为有关DEA及其在各种经济领域的广泛应用的学术文献做出了贡献。使用澳大利亚退休金基金可以连续或年度获得使用DEA的效率得分,效率前沿的排名,趋势和转变。

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