DOES GOVERNMENT OWNERSHIP MATTER? COMPARATIVE STUDY BETWEEN GLCS AND NGLCS IN MALAYSIA

2015 ◽  
Vol 60 (02) ◽  
pp. 1550019 ◽  
Author(s):  
IRENE WEI KIONG TING ◽  
HOOI HOOI LEAN
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Comparative Study ◽  
Multiple Regression ◽  
Regression Models ◽  
Public Perception ◽  
Negative Relationship ◽  
Government Ownership ◽  
Multiple Regression Models ◽  
The Impact

This study investigates whether government participation in firm ownership leads to better firm performance of publicly listed companies in Malaysia. The sample covers 257 companies listed on the Bursa Malaysia from 1997 to 2009. Multiple regression models with balanced panel data are used to examine the impact of government ownership (GOVN) on firm performance. We find a negative relationship between GOVN and firm performance, a finding that supports the negative public perception of government-linked companies (GLCs) in Malaysia. We conclude that government ownership is not an effective tool for improvement of firm performance in Malaysia.

scholarly journals Government Ownership and Value of Listed Firms in Kenya: A Panel Data Evidence

2015 ◽  
Vol 2 (2) ◽  
pp. 45-50
Author(s):  
Fredrick Onyango Odhiambo ◽  
Nixon Oduor Omindi
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Negative Relationship ◽  
Quadratic Term ◽  
Government Ownership ◽  
Policy And Practice ◽  
Listed Firms ◽  
Q Model ◽  
The Government ◽  
And Performance

This study examines the relationship between government ownership and performance of listed firms on the Nairobi Securities Exchange. The quadratic term of government ownership is included in the model to test for the effect of increasing government ownership levels on performance. We use panel data techniques on 102 firm-year observations between 2003 and 2013 for all the listed firms in which the government directly owns some shares. We find no relationship between government ownership and performance at lower levels of government ownership. We find a negative relationship between government ownership and performance at higher levels of government ownership. We estimate, through differentiation of the Tobin’s Q model, that government ownership has a negative effect on performance when government ownership exceeds 41%. The study concludes that lower government ownership levels do not affect firm performance but as the ownership rises, government ownership has a detrimental effect on firm performance. We provide implications of these results for policy and practice. JEL Classifications Code: G34

scholarly journals Business group, leverage and liquidity

2016 ◽  
Vol 14 (1) ◽  
pp. 640-643
Author(s):  
Wisnu Untoro
Keyword(s):  
Panel Data ◽  
Regression Models ◽  
Negative Relationship ◽  
Business Group ◽  
Empirical Results ◽  
Financial Firms ◽  
Firm Leverage ◽  
The Impact ◽  
Do So

It could be argued that firms belong to large business group usually have an easier access to financing sometimes with a cheaper cost. Therefore, in this paper, I empirically investigate the impact of being affiliated firms with business group on firm leverage and liquidity. To do so, I study Indonesian non-financial firms in a panel data over the period 2012-2014. Regression models are estimated using OLS. The empirical results show that there are negative relationship between affiliation with business group and leverage. In addition, being affiliated is also associated with higher liquidity.

Factors Influencing Stop-Level Transit Ridership in Arnhem–Nijmegen City Region, Netherlands

2015 ◽  
Vol 2537 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Kasper Kerkman ◽  
Karel Martens ◽  
Henk Meurs
Keyword(s):  
Panel Data ◽  
Multiple Regression ◽  
Regression Models ◽  
Data Models ◽  
Panel Data Models ◽  
Cross Sectional ◽  
Transit Ridership ◽  
Multiple Regression Models ◽  
The Cross ◽  
In Transit

The factors that influence transit ridership are explored at the level of individual transit stops for the local and regional bus transit system in the region of Arnhem–Nijmegen in the Netherlands. Direct transit ridership modeling was used to explore simultaneously the influence of spatial, population, and network characteristics on bus stop–level ridership (number of passengers boarding and alighting from transit vehicles at each particular transit stop). Cross-sectional multiple regression models were built for two periods: March 2012 and March 2013. Between these periods, the regional transit supply changed considerably because of the start of a new tender period. The outcomes of the cross-sectional multiple regression models were compared with fixed-effects panel data models, which related the changes in ridership between both periods to the changes in transit supply characteristics. The adjusted R2of the two cross-sectional models are .772 and .762, respectively; this finding shows that the models perform well in explaining the variance in ridership. Most selected independent variables are highly significant, and their influence on ridership is largely in line with expectations. The cross-sectional and the panel data models show large similarities, but the values of most coefficients in the panel data model are only about half of the corresponding variables in the cross-sectional models. This finding is likely due to the potential adjustment time that travelers need to get used to the changes in transit services and to an overestimation of the importance of transit supply because of the endogeneity between supply and potential demand in the cross-sectional models.

Impact of individual and organizational factors on job satisfaction: A comparison of multilevel models and multiple regression models using different data arrangements

2013 ◽  
Vol 19 (1) ◽  
pp. 44-59 ◽  
Author(s):  
Jun Yi Hsieh
Keyword(s):  
Job Satisfaction ◽  
Multiple Regression ◽  
Regression Models ◽  
Multilevel Models ◽  
Organizational Factors ◽  
Ordinary Least Squares ◽  
Organizational Level ◽  
Multiple Regression Models ◽  
Research Questions ◽  
The Impact

AbstractTypically most studies of individual employees perceptions of the work place adopt multiple regression models (ordinary least squares [OLS]) which ignore inherent clustering in their data. However, such an approach does not supply unbiased and accurate answers to research questions. This study intends to simulate three data alternatives – weighted, disaggregated (individual level), and aggregated (organizational level) using the OLS and multilevel models to compare the results of different research designs. To answer the research questions, the current study investigates the impact of individual and organizational factors on job satisfaction, using a 2000 USA National Partnership for Reinventing Government survey. This study presents the methodological misuse and measurement errors of the previous research and presents guidelines for future research.

scholarly journals Anxiety level in context of chosen pro-health attitudes of male students during COVID-19 pandemic

2021 ◽  
pp. 1
Keyword(s):  
Social Support ◽  
Multiple Regression ◽  
Trait Anxiety ◽  
State Anxiety ◽  
Regression Models ◽  
Eating Behaviors ◽  
Anxiety Level ◽  
Male Students ◽  
Multiple Regression Models ◽  
The Impact

Background and objective: Assessing the impact of different factors on anxiety level is a complex and challenging problem, especially during pandemic or similar life threatening situations. Stress can affect dietary and eating behaviors. The aim of this study is to extend knowledge concerning the relation between increased anxiety level during pandemic and attitude towards dietary and eating behaviors in the context of social situation and support of relatives and friends. This study was conducted in 2020 during COVID-19 pandemic. Methods: State-Trait Anxiety Inventory alongside auxiliary questions about social relations and eating habits were asked to the male students from different universities and courses in Eastern Europe. To assess differences and dynamics of anxiety level, multiple regression models were used. Results: Multiple regression models between state anxiety level with context to the following factors: paying particular attention to one's diet, namely, the way of nutrition during severe anxiety felt during the pandemic and factors such as strong social support and type of university course was R = 0.41 (p = 0.00). For trait-anxiety the same model returned R = 0.39 (p = 0.00). Analysis of variance revealed that support of relatives is significant factor for state anxiety level, whereas this factor is insignificant for trait anxiety level. Conclusions: Models obtained from this study indicated that there are significant relations between anxiety level of male students and social support, which is expressed in the form of proper eating, therefore pro-health habits are revealed during elevated prolonged stress state such as COVID-19 pandemic.

scholarly journals The relationship between a physician incentive plan and departmental performance in a Taiwan hospital

2013 ◽  
Vol 2 (3) ◽  
pp. 79 ◽  
Author(s):  
Nai-Yng Liu ◽  
Hsuan-Lien Chu ◽  
Chiu-Chuo Liao
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Multiple Regression ◽  
Regression Models ◽  
Data Envelopment ◽  
For Profit ◽  
Multiple Regression Models ◽  
Incentive Plan ◽  
The Impact ◽  
The Relationship

The objective of this study is to investigate the influence of a physician incentive plan based upon treatment of patients in a large private non-for-profit hospital in Taiwan. We examine the relationship between physicians’ bonuses and departmental performance to assess the impact of the physician incentive plan in the case hospital. The multiple regression models are used to examine the relationship between physicians’ bonuses and departmental profitability. In addition, we use Data Envelopment Analysis (DEA) model to measure the operational efficiency of each department in the case hospital. Then, a multi-factor tobit model is used to examine the relationship between physicians’ bonuses and departmental efficiency. The results indicate that physicians’ bonuses in the case hospital are negatively correlated with departmental profitability and efficiency. That is, the performance measurement of current incentive plan may not be appropriate and it does not induce physicians to increase departmental profitability and improve efficiency. Our results suggest that the incentive plan is flawed and might fail to hold physicians accountable for improving departmental performance in the case hospital.  

scholarly journals The effect of government ownership on Indonesia’s state-owned enterprises’ (SOE) firm performance

Accounting ◽  
2021 ◽  
Vol 7 (6) ◽  
pp. 1347-1352 ◽  
Author(s):  
Reynaldi Hermansjah ◽  
Sugiarto Sugiarto ◽  
Gracia Shinta S. Ugut ◽  
Edison Hulu
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Stock Exchange ◽  
Panel Data Models ◽  
Government Ownership ◽  
Return On Assets ◽  
Return On Equity ◽  
Significant Relationships ◽  
Equity Ratio ◽  
The Impact

This study aimed to analyze the impact of government ownership on Indonesia’s SOE’s financial performance, measured by Return on Assets (ROA) and Return on Equity (ROE) of 20 SOEs that are listed on the Indonesia Stock Exchange during the period 2013 – 2019, using the panel data models. According to the results, government ownership has a positively significant impact on the firm performance (ROA and ROE). Furthermore, the results show that along with government shares, debt to equity ratio, dividend payout ratio, and log of total assets also have significant relationships to the firm performance.

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