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Enregistrement W2890156283 · doi:10.4324/9780203084540-11

The poor performance of compulsory saving in Australia: superannuation and corporate governance

2012· book-chapter· en· W2890156283 sur OpenAlexaboutno aff
Christine Brown, Deborah Ralston

Notice bibliographique

Revuenon disponible
Typebook-chapter
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHousing, Finance, and Neoliberalism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCorporate governanceBusinessAccountingFinance

Résumé

récupéré en direct d'OpenAlex

As at June 2010, superannuation funds under management in Australia totalled $1.23 trillion. This figure includes a large pool of compulsory savings contributed by the 85 per cent of the adult population now covered by the Superannuation Guarantee Contribution (SGC). While this pool of savings is only one pillar of the retirement system, which also includes the age pension, voluntary superannuation savings and personal savings, including home ownership, it is a critical pillar. An emerging theme in the recent Cooper Review (2009c), which was charged with examining the equity, simplicity and efficiency of the system, has been that, given the dependence of the Australian retirement system on compulsory superannuation saving, the heavy emphasis on defined contribution funds and the wide range of choices available, individuals tend to bear a higher level of investment and other financial risks than is the case in many other pension systems worldwide. Consequently, the need to maximize the safety and efficiency of the superannuation system takes on particular importance. In the final report, Cooper (2010) stated that improving governance practices and structures is the key to improving member outcomes. In this chapter, we focus on exploring potential factors behind the low returns on superannuation funds, such as differences in the structure of funds and the governance issues that can lead to higher costs and consequently lower subsequent rates of return to members. We develop a framework to explore possible links between governance models and their impact on agency and direct costs. Compulsory superannuation has been a feature of retirement savings in Australia since 1992 when the superannuation guarantee was introduced, requiring employers to make tax-deductible superannuation contributions on behalf of their employees. While compulsory superannuation contributions are made by employers, in the longer run it is better to think of them as ‘forced savings’ of employees out of wages rather than as involving higher labour costs for employers. From a base of 3 per cent, higher levels of compulsory contributions were phased in over a ten-year period, reaching the maximum of 9 per cent in 2002-3. As a result of this mandatory saving over the last decade, superannuation assets have trebled and, since 1994, the managed fund industry has enjoyed a compound growth rate of over 10 per cent per annum. Consequently, Australia now has almost $1.03 trillion invested in superannuation assets (Cooper Review, 2009a). As a consequence, Australia has the fourth largest funds management industry in the world and the largest in the Asia Pacific region. Apart from the depth of the savings pool, another key strength of the Australian system is its breadth of coverage. While the superannuation guarantee provides exemptions for some categories of employees,1 the current Australian superannuation system stands up well under international comparisons, with around 85 per cent of the working population having superannuation accounts (OECD, 2008). But despite the relatively broad coverage of superannuation and the large amount of funds invested, the adequacy of the Australian retirement system is not particularly strong.2 Indeed, in the Melbourne Mercer Global Pension Index (Melbourne Centre for Financial Studies, 2009), which provides an international comparison of the adequacy of benefits in 11 countries around the globe, Australia was ranked fourth behind the Netherlands, Canada and Sweden. Interestingly, all of these countries have a much larger average fund size and structures which are primarily defined benefit. In the recent Review into the Governance, Efficiency, Structure and Operation of Australia’s Superannuation System (Cooper Review), which reported in June 2010, a number of areas of weakness that have impacted on the performance of superannuation funds and, consequently, on the net returns of compulsory savings were identified. These include lack of scale, poor operational efficiency in manual back-office processes, fees that are too high, excessive complexity, poor reporting and disclosure, and a number of issues related to governance of superannuation funds. The Super System Review Final Report (hereafter Cooper, 2010)3 points out that system design and regulatory settings have not adequately ensured that member interests have remained paramount in a system that is compulsory and fully outsourced to the private sector. In terms of governance, the Cooper Review has identified a number of agency and structural issues which constrain the opportunity for member vigilance and give rise to a lack of incentive for agency vigilance. Cooper states (p. 2) that ‘improving governance practices and structures is the key to improving member outcomes’. Superannuation governance has been complicated over recent years by the move in funds from defined benefit (DB) to a defined contribution (DC) structure.4 In making this change, funds have exchanged the complexities of DB liabilities for complexities in the design and management of DC assets (Clark and Urwin, 2010). This is especially true for smaller DC funds which lack a depth of in-house expertise and therefore develop a complex web of outsourcing relationships to manage their portfolios. This chapter’s central focus is an examination of the governance structure of superannuation funds in Australia and how it relates to their performance. The remainder of the chapter is structured as follows. The development and performance of the Australian superannuation industry is outlined first. Then we investigate the governance problem and review the relevant literature, before considering the recent performance of Australian superannuation funds. Throughout, key recommendations from the Cooper Review inform the analysis. The superannuation industry in Australia The superannuation industry in Australia has developed considerably over the past decade. We first describe the rationale and development of the industry as a tool for establishing a pool of compulsory saving, before reviewing recent rates of return of superannuation funds, their expense ratios and their investment strategies in order to build a picture of relative performance of the different types of funds and the different benefit structures.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,088
Score d'incertitude au seuil0,175

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,002
Communication savante0,0040,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,056
Tête enseignante GPT0,213
Écart entre enseignants0,157 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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