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Enregistrement W346263162

Executive Compensation Schemes in the Banking Industry: A Comparative Study between a Developed Country and an Emerging Economy

2009· article· en· W346263162 sur OpenAlexaboutno aff
Nelson Waweru, Patrice Gélinas, Enrico Uliana

Notice bibliographique

RevueAcademy of Accounting and Financial Studies journal · 2009
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueCorporate Finance and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIncentiveDeveloping countryLatin AmericansEmerging marketsContext (archaeology)PopulationExecutive summaryEconomicsBusinessEconomyDevelopment economicsEconomic growthAccountingFinanceMarket economyPolitical scienceGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION This paper examines the executive compensation schemes and practices of banks operating in Canada (a developed country) and South Africa (an emerging economy). In both countries a relatively small number of large banks dominate the national market, making the banking sector a unique research context and an interesting first step in the comparison of compensation paid in each country. Using a population of eight major publicly-traded banks in Canada and the four main banks in South Africa, we investigate the structure and level of executive compensation, defined as the sum of salary, annual bonus, the values of executive stock options and long term incentive plans (LTIPs). We discriminate between banks operating in Canada and those operating in South Africa and use contingency theory of management accounting to explain the differences. The term developing countries has been defined in a variety of ways by different authors mainly based on: 1) geographical location and 2) economic development. For example, Perera (1989) defines developing countries as those countries in the so-called Third World. Third World refers to those countries that do not belong to the Western world centered in the U.S.A, or the Eastern world with the former USSR as a centre. Wallace (1990) defines developing countries as those in the mid-stream of development and refers to an amorphous and heterogeneous group of countries mostly found in Africa, Asia, Latin America, the Middle East and the Oceanic. South Africa is identified to represent developing countries since although classified so by the United Nations (2001) and the World Bank (2000), it lies on the upper income bracket of such countries. South Africa falls between both a developed and a third world country making it a good subject for examining the way in which compensation schemes are used in a developing country. South Africa is a developing country to the extent that it is an exporter of raw materials rather than finished goods; the economy is heavily tied to one raw material, namely gold. South Africa has accelerated its privatization program with up to $24 billion of government assets to be released for divestiture (ADB, 2000). The paper proceeds as follows; Section 2 describes the study theoretical framework. Section 3 describes the data and the methodology. Section 4 presents the results while section 5 discusses the results and presents a conclusion of the study. THEORETICAL FRAMEWORK Agency theory predicts that performance measures used for incentive purposes determine the direction of effort by the agent and that the incentive weight determines the amount of effort provided by the agent. The conventional theoretical framework for understanding reward contracts is in agency theory (Lambert 2001). Consequently the use of incentive contracts will lead to higher effort levels and increased performance on those dimensions that are being measured (Moers and Peek, 2000). The main prediction of the agency model is that pay should be sensitive to firm performance in order to induce managers to exert effort and thereby align the interests of the shareholders and managers (Jensen and Meckling 1976; Widener 2006). Agency theory focuses on the risk characteristics of the enterprise (including any information asymmetry issues) as prime determinants of the shape and nature of reward contracts (Stathopoulos et al 2004). Emerging economy stocks are the most risky firms in our study (due to information asymmetry) and the developed economy stocks are the least risky, and so we expect to see differences between the reward contracts of South African Banks and those of the Canadian banks in our study. We expect South African bank executives to prefer a higher proportion of their compensation in long term incentives since more risk would lead to higher option values (Black and Scholes, 1973). A similar argument could be made based on Smith and Watts (1992) who argue that a firm's growth opportunities will have an impact on its executive compensation policy. …

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 enseignants0,011
Score d'incertitude au seuil0,663

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,086
Tête enseignante GPT0,332
Écart entre enseignants0,246 · 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

Citations8
Publié2009
Routes d'admission1
Résumé présentoui

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Même revueAcademy of Accounting and Financial Studies journalMême sujetCorporate Finance and GovernanceTravaux en français237 207