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作 者:Senee Puangyanee Supisam Bhakdinarinath
机构地区:[1]Rajamangala University of Technology Suvarnabhumi, Phra Nakhon Si Ayutthaya, Thailand [2]North Bangkok University, Bangkok, Thailand
出 处:《Management Studies》2017年第6期589-597,共9页管理研究(英文版)
摘 要:The objective of this research was to develop the causal relationship model of firm characteristics factors and good corporate governance affecting the performance of the companies listed on the Stock Exchange of Thailand. The developed model consisted of three latent variables and eight observable variables. The sample of this study was 338 companies listed on the Stock Exchange of Thailand. Data are from annual reports (form-56), annual financial statements and notes to the fmancial statements during the years 2010-2013. The statistics used in this study were descriptive statistics. The causal model was analyzed through a path analysis with LISREL 8.80 Student Edition. The results showed as follows. By testing the consistence of the causal model of finn characteristics (CHA), the assumed model was consistent with empirical data. Based on the statistical test, the Chi-Square was 22.08. The statistical probability (p) was 0.077, the degree of freedom (dO was to 0, 2/2 was 1.58, RMSEA was 0.041, SRMR was 0.037, GFI was 0.98, CFI was 0.99, AGFI was 0.96. The latent variable of firm characteristics (CHA) had directly negative impact on performance (PAL) with a statistical significance level of 0.01. A path coefficient was 0.18. However, CHA variable did not indirectly influence performance (PAL) and it had directly negative impact on good corporate governance (GGN) with a path coefficient of 0.02 without statistical significance level. The latent variable of good corporate governance (GGN) had directly positive impact on the performance (PAL) with a statistical significance level of 0.05, with a path coefficient of 0.18.
关 键 词:ftrm characteristics good corporate governance PERFORMANCE
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论] Q954.655[自动化与计算机技术—计算机科学与技术]
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