scholarly journals Do Independent Commissioners Control the Effect of Family-Owned Business Characteristics on Dividend Policy? A Study in Indonesian Manufacturing Companies

Author(s):  
Ernie HENDRAWATY ◽  
Sri HASNAWATI ◽  
Lia PURNAMASARI

This study aims to determine the role of independent Commissioners to control the effect of family-owned business characteristics on dividend policy. This study construct panel data that estimate using panel regression with a fixed-effect model. The model is estimated using financial data of 64 Indonesian manufacturing companies that were observed from the period 2016-2018. The result showed that family-owned business characteristics have a positive effect on dividens. The Independent Commisioners were able to control the effect of family business characteristics on the dividend policy. The Independent Commissioners have a role in reducing the positive effect of family-owned businesses characteristics on dividends.

2019 ◽  
Vol IV (I) ◽  
pp. 506-515
Author(s):  
Ziaullah Shah ◽  
Shehzad Khan ◽  
Muhammad Faizan Malik

The objective of this study is to inspect dividend policy influence on volatility of share prices. For investigation seven Non-financial segment/sectors have been selected. A sample of 137 firms who paid four dividend payments listed at PSX is analysed for the period of 2007-2017.Proxy for policy of dividend are earning per share, Payout ratio, dividend yield, while assets growth and firm size are taken as control variables. OLS regression model has been initially applied on panel data. The outcomes of fixed effect model are focused. Overall outcomes of the study confirmed that prices of stock is significantly influenced by policy of dividend and reject dividend irrelevance theory.


2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Muhammad Asif Joyo ◽  

Objective- The objective of this study is to determine the influence of Business risk and Non Tax shield on Capital structure. Methodology- This study is based on panel data of20 companies from the cement sector of Pakistan. Panel regression is applied for statistical analysis. Conclusion- This study concludes that business risk and non-tax shield has insignificant effect on capital structure (debt to equity ratio), whereas the interest coverage has positive effect on debt to equity ratio. Policy Implication- As per this study the volatility and business risk involved in the cement sector may have some serious issues if the exports is continuously decline and at the same time raising leverage funds may hurt the performance of the company.


INFERENSI ◽  
2013 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Eko Suprayitno ◽  
Radiah Abdul Kader ◽  
Azhar Harun

This paper attempts to examine the role of zakat administration policy in Malaysia and its impact on the tax revenue in Malaysia Peninsula. Zakat administration issues pertaining to Islamic law but traditions remain under the jurisdiction of states. The practice of zakat is based on the Shariah while the taxation practice is based on the Malaysian Income Tax Act, established in 1967. Zakat is used as a fiscal policy tool whereby income tax payers were given 100 per cent rebates on zakat that they paid. The study uses panel data of states in Malaysia Peninsula and the analysis is done by using the fixed effect model. The study finds that zakat has a positif impact and significant on tax revenue.


Author(s):  
Muhammad Sibt e Ali ◽  
Syed Muhammad Faraz Raza ◽  
Syed Muhammad Faraz Raza ◽  
Naeem ul Din ◽  
Syed Zain Ul Abidin

The major objective of this research is to examine the connection among poverty, population growth and its impact on economic development of different developing countries. This research comprised of panel data for period of 2002-2015. The data has been taken World Bank Indicator (WDI) for twenty six developing countries. To find out the results we use panel data. For the analysis of data we have applied Hausman and Fixed Effect Model in this study. Findings of the study indicate that the consumption of government, export, gross capital formation and industrial value added have positive impact on growth of developing economies. The results show that the variation in these variables has positive effect on dependent variables. On the other hand, economic growth increases due to positive changes in this variable. It is seen in this study that population and poverty has negative impact on GDP per capita in selected developing countries.


2020 ◽  
Vol 8 (1) ◽  
pp. 15-27
Author(s):  
Jan Horas Veryady Purba

The issue of dividends is very important to show the prospects for the company's growth in the future, and also important in the company's capital structure. Dividend policy can be influenced by profitability and other variables. In this study, profitability is chosen due to its role as main indicator that shows the company's capacity to pay dividends.  This study aims to analyze the effect of profitability on dividend policy. The study population is a company listed on the Indonesia Stock Exchange. Purposively selected eight companies that have a good liquidity category. Data for each company is taken from 2007 to 2017. With this data structure, the analysis used is panel data regression analysis. Panel data analysis models include the Common Effect Model (CEM) Fixed Effect Model (FEM) and Random Effect Model (REM). The best model was tested with the Chow test and Hausman Test and obtained The Fixed Effect Model. Dividend policy is measured by the variable dividend payout ratio. The findings in this study conclude that the dividend policy (Dividend Payout Ratio) is influenced by ROE, EPS and NPM, where these independent variables have a positive and significant influence on DPR.


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 691
Author(s):  
Vivi Violita Firda ◽  
Syamsul Amar

This study aims to find out and analyze the influence of (1) Education Level, (2) Investment, and (3) Wage Levels on the workforce that is actively working in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) Education Level has a positive and significant effect on the workforce that is actively working in Indonesia, (2) Investment has a positive and not significant effect on the workforce that is actively working in Indonesia, (3) Wage Levels have a positive and significant effect on workforce that is actively working in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 32 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) Education Level has a positive and significant effect on the Active Work Force in Indonesia (2) Investment has a positive effect and has no significant effect on the Active Work Force in Indonesia. (3) Wage Levels have a positive and significant effect on the Active Work Force in Indonesia. Keywords: Labor Force, Education Level, Investment, and Wage Level


Author(s):  
Wahyu Dede Kusuma

This study describes the effect of economic and social infrastructures on regional development in Indonesia. Infrastructures were devided into two parts, they are: economic infrastructures (road, cellular phone, electricity, and clean water access) and social (education) in 33 provinces from 2012 to 2017. This study uses panel data: fixed effect model with cross-section weights (Panel EGLS). From the estimation, we can get the description that all of infrastructures and labor participation give the significant effect to regional development except road. All of those significant infrastructures and labor participation give the positive effect to the regional development. Labor participationgives the biggest impact to regional development followed by electricity and clean water access.


2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Johan Beni Maharda ◽  
Bunga Zharfa Aulia

This study aims to estimate the association between government expenditure and human development index (HDI) in Indonesia. Due to inequal HDI attainment, this study focuses on 12 provinces which categorized as provinces with low level of HDI in Indonesia. This study employs fixed effect model (FEM) panel data analysis on provincial level datasets from 2010 to 2018. This study found that the increase of government expenditure on education significantly increases HDI, while government expenditure on health has no significant association with HDI. Major finding of the study highlights the role of gross regional domestic product (GRDP) per capita in increasing HDI on 12 provinces in Indonesia. Keywords: Government expenditure on education, government expenditure on health, HDI, FEM.


2019 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Suci Rahmalia ◽  
Ariusni Ariusni ◽  
Mike Triani

This study aims to determine and analyze the influence of (1) Level of Education, (2) Unemployment, and (3) Poverty against crime in Indonesia by using the panel regression equation model and using the Fixed Effect Model (FEM) approach. The estimation results show that (1) the level of education has a negative and not significant effect on criminality in Indonesia, (2) unemployment has a negative and significant effect on crime in Indonesia, (3) poverty has a positive and significant influence on crime in Indonesia.This type of research is descriptive and associative. Data type is secondary data. This study uses panel data, which uses 31 provinces in Indonesia using the Fixed Effect Model (FEM) approach.The results of this study indicate that: (1) The level of education has a negative and insignificant influence on crime in Indonesia, (2) Unemployment has a negative and significant effect on crime in Indonesia, (3) Poverty has a positive and significant influence on crime in Indonesia.


2021 ◽  
Author(s):  
RAJARATHINAM ARUNACHALAM ◽  
Subh S S ◽  
Ramji Madhaiyan

Abstract The present investigation was carried out to study the food grain production trends in different states in India based on Panel Regression Model for the period 2001-02 to 2020-2021. The results reveal that between state-to-state food grain production is highly significant the highest food grain production was registered in Uttar Pradesh followed by Punjab and Madhya Pradesh. Very lowest was registered in Kerala and Himachal Pradesh. The findings reveal that the highly significant fixed effect model was found to be suitable to study the trend and this model explains the 82% of variations in food grain production. Over all increasing in food grain production is noted.


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