Cash holding and corporate governance on company financial performance: Case study of construction infrastructure project supporting industries on the Indonesian stock exchange
Notice bibliographique
Résumé
The Indonesian government currently focuses on high infrastructure development to prepare for connectivity between one city and another. The massive construction of the new government capital is also called the archipelago's capital. This condition impacts companies supporting construction projects, which are growing rapidly. This growth is supported by corporate governance and the cash-holding industry, which supports infrastructure projects for the company's financial performance. This research aims to determine the role of cash holding and corporate governance (board skill, independent director, managerial ownership) on the financial performance of infrastructure-supporting manufacturing companies in Indonesia. The sample used in this research was 83 manufacturing companies listed on the Indonesia Stock Exchange in the 2010-2020 period. This research uses panel data regression as a data analysis method. The results of this research show that managerial ownership significantly impacts increasing cash holding by maintaining the optimization of cash and cash equivalents. The company's managerial ownership cannot impact board skills because many companies still need to accommodate share ownership by management and board-skill-educated doctors. This condition also causes board size skills not to impact increasing cash holding in the company. Board skills have yet to be able to impact financial performance significantly. Managerial ownership and cash holding impact increasing return on assets, thereby increasing financial performance for manufacturing companies that support infrastructure projects. The independent director, as a variable moderator, still needs to be capable of moderating managerial ownership, board skill, and cash holding to improve financial performance. This condition is caused by data from several companies still needing more independent directors. Research provides a practical contribution to the owner as soon as possible, recruiting board members with doctoral education as competent board skills and making independent directors have a vital role in improving financial performance. The theoretical contribution to research is to enrich the theory of corporate governance and financial performance.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».