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Enregistrement W37920109 · doi:10.14264/219302

Earnings management in response to political costs : an investigation of Australian gold mining firms

2000· dissertation· en· W37920109 sur OpenAlexaboutno aff
Reza Monem

Notice bibliographique

RevueThe University of Queensland · 2000
Typedissertation
Langueen
DomaineBusiness, Management and Accounting
ThématiqueRisk Management in Financial Firms
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésScrutinyAccrualEarningsLiberian dollarEarnings managementPoliticsGold miningProsperityBusinessEconomicsAccountingEconomic policyFinancePolitical scienceEconomic growthLaw

Résumé

récupéré en direct d'OpenAlex

Earnings from gold mining in Australia remained tax-exempt for almost seven decades until 1 January 1991. Devaluation of the Australian dollar against the U.S. currency toward the end of 1976 and significant increases of gold prices in the international market in 1979 and 1980 led to a boom in the Australian gold mining industry in 1980s. The rapid success and prosperity against the backdrop of its tax-exempt status brought the industry under intense political scrutiny in the mid- to late- 1980s. In June 1985, the federal government revealed its intention to impose income tax on gold mining. Eventually, the removal of the tax-exempt status of the industry and introduction of income tax on gold mining were announced in May 1988, and implemented from 1 January 1991. This thesis investigates whether the politicalisation of its tax-exempt status and the imposition of income tax induced the Australian gold mining industry to manage earnings. It is argued that the political scrutiny of the industry and the introduction of income tax caused significant increases in the political costs of the industry during the period from mid-1980s to early-1990s, and gold mining firms, in tum, engaged in earnings management to mitigate those political costs. In addition, it is argued that political costs in this industry vary systematically with industry-specific factors such as gold price and firm-specific factors such as gold reserves. Earnings management is tested by employing an accrual-based model that segregates non-discretionary accruals from total accruals on the basis of the firms' economic circumstances. The sample for this study comes from 45 Australian gold mining firms for the years 1976-1991. Empirical results provide evidence that is consistent with significant downward earnings management during the period from June 1986 to May 1988 to mitigate political costs associated with the introduction of income tax, and during the year 1991 to reduce the magnitude of wealth transfers via income tax. A control sample of Canadian gold mining firms does not exhibit similar evidence of earnings management during the same periods. The empirical results for the hypotheses are not sensitive to the scaling variable used or to the correlation of the partitioning variables with measures of earnings performance. In addition, significant results indicating earnings management could not be replicated during out-of-sample non-event years. No evidence of upward earnings management, however, was obtained during the period from June 1988 to December 1990, a period in which gold mining firms were expected to have incentives to manage earnings upward. This suggests that accounting incentives to manage earnings may appeal to firms only in the absence of opportunities to increase earnings via operating-investment decisions. Of the two factors identified, only gold reserves held by the sample firms appear to be a significant factor in explaining cross-sectional variation in the sample firms' political sensitivity. Gold reserves can also explain the firms' choice with respect to the submission to the federal tax inquiry during the period from December 1985 to August 1986. This thesis contributes to and extends the positive accounting theory literature on earnings management and political costs. Earnings management affects the reliability of financial statement information. Hence, studies on earnings management have implications for a number of stakeholders of the firm including holders of debt and equity capital, accounting standard setters, auditors, financial analysts, and capital market regulators. Moreover, this study has implications for tax policy-makers as earnings management associated with tax policy changes affects revenue estimates as well as estimates of effects of tax law changes. By documenting earnings management in the Australian gold mining industry, this study extends the knowledge on motives and extent of earnings management, and adds to the scanty evidence of earnings management in Australian and non-U.S. reporting environments. Further, unlike most of the prior studies on political costs, it investigates political costs in an industry other than the traditionally considered politically sensitive oil and chemical industries. Thus, it provides fresh evidence on accounting responses to political costs in a non-U.S. regulatory framework.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,336
Score d'incertitude au seuil0,974

Scores Codex et Gemma par catégorie

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

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 Opus0,016
Tête enseignante GPT0,231
Écart entre enseignants0,215 · 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 tête enseignante, 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
Publié2000
Routes d'admission1
Résumé présentoui

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Même revueThe University of QueenslandMême sujetRisk Management in Financial FirmsTravaux en français237 207