Meta-analysis of corporate governance in Asia

Meta-analysis of corporate governance in Asia

Lukviarman, Niki;Johan, Arief Prima;
investment management & financial innovations 2018 Vol. 15 pp. 267-280
195
lukviarman2018metaanalysisinvestment

Abstract

Research on corporate governance has been conducted extensively over the past few decades. However, the result of various studies failed to produce conclusive insight. This study is aimed at identifying, classifying, analyzing and interpreting previous research on corporate governance in Asia by using meta-analytical approach. By using the HOMA (Hedges-Olkin Meta-Analytical) procedures, the current study collected eighty articles from journals ranging from 1999 until 2017. Data were gathered from empirical scientific papers. Through rigorous research process, the current study found that most previous research on corporate governance in Asia observed the patterns of influence of various types of ownership structure and board characteristics on corporate performance. Ownership by family, government, and management tend to have a negative impact on performance, whilst institutional ownership and foreign ownership show positive effect on performance. The study reveals inconsistent result for frequency of board meetings, existence of family members on board, outside director, and board independence towards performance. Similar finding appeared for the relationship of performance to women on board and CEO duality. CGPI as the Corporate Governance Perception index and board size were found to have a positive consistency on performance. Apart from limitations of the study, the result suggests that there exists institutional and environmental specificity in the study of corporate governance in Asia that may be different from other context of study so that future researcher need to take a precaution of this matter.

Keywords

Citation

ID: 91290
Ref Key: lukviarman2018metaanalysisinvestment
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
91290
Unique Identifier:
cff2792af4318f783619df48172c22e1
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet