scholarly journals ANALISIS PENGARUH UPAH MINIMUM, INVESTASI DAN PENGELUARAN PEMERINTAH TERHADAP PENYERAPAN TENAGA KERJA BERDASARKAN PENDIDIKAN

El Dinar ◽  
2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Retno Wilis

This study analyzes the influence of the minimum wage, investment and gov-ernment spending on educated employment, trained employment and unedu-cated and untrained employment in 38 Regencies/Cities of East Java Province<br />in 2008–2013. The research is using quantitative approach, panel data analysis<br />and Fixed Effect Model (FEM) method. The results show that the minimum<br />wage variable has negative significant effect on the educated employment,<br />trained employment and uneducated and untrained employment. Regional<br />investment variable does not significantly affect to the educated employment,<br />trained employment and uneducated and untrained employment. Domestic<br />investment variable has positive significant effect on the trained employment,<br />but does not significantly affect to the educated employment and uneducated<br />and untrained employment. Foreign investment variable does not significantly<br />affect to the educated employment, trained employment and uneducated and<br />untrained employment. And government spending variable has positive sig-nificant effect on the educated employment and uneducated and untrained<br />employment, but does not significantly affect to the trained employment

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 86 (4) ◽  
pp. 691-707 ◽  
Author(s):  
Chul Hyun Park ◽  
Koomin Kim

Over the past two decades, many governments around the world have adopted e-government as an anti-corruption tool. However, there is a lack of empirical evidence on the impacts of e-government on corruption. Thus, this article aims to empirically examine whether e-government reduces corruption across countries. For this purpose, longitudinal data from 2003 to 2016 were collected from 214 countries and then panel data analysis based on a fixed-effect model was conducted. Analysis results reveal that e-government as a whole significantly reduces corruption, while the effects of open government as one type of e-government are unclear. However, the rule of law moderates the relationship between open government and corruption. That is, in countries with more effective legal systems, open government is more likely to reduce corruption than in countries with less effective legal systems. Points for practitioners E-government as a whole can effectively reduce corruption. Open government, such as open data portals and online discussion forums, does not have a direct impact on the reduction of corruption. Open government can have a conditional impact on corruption, relying on the effectiveness of legal systems.


2021 ◽  
Vol 16 (2) ◽  
pp. 289-313
Author(s):  
Lingesiya Kengatharan ◽  

The study aimed to emphasize the determinants of dividend policy in Sri Lankan firms. This study was conducted with 80 non - financial companies which were listed on Colombo Stock Exchange (CSE). The empirical research was focused on panel data analysis, and data was collected from annual reports for a five year period from 2013 to 2017. This study explored selected factors that influence dividend policy, including sales growth, leverage, firm size, profitability, EPS, liquidity, and risk. The panel data analysis employed pooled OLS, fixed - effect, and random - effect models. Based on the analysis, the fixed - effect model was thought to be the best fit for studying the factors that affect dividend policy. According to the outcome of fixed-effect model, among the seven input variables considered in this study, profitability, EPS, and risk were negatively linked to dividend policy. However, no significant relationship was found between dividend policy and sales growth, leverage, firm size, or liquidity. The findings contribute to the understanding that three parameters namely: profitability, EPS, and risk have been recognized as factors affecting dividend payouts in CSE’s listed companies. Hence, policymakers will be able to concentrate on the factors that influence shareholder wealth maximization. Keywords: profitability, EPS, risk, dividend payout


2016 ◽  
Vol 9 (2) ◽  
pp. 148-172 ◽  
Author(s):  
Anjala Kalsie ◽  
Shikha Mittal Shrivastav

This article seeks to examine the relationship between the board size and firm performance. Existing literature on board size is based on different theories of corporate governance. While agency theory and resource dependency theory suggest that the board size positively affects performance, stewardship theory favours smaller board size and argues that larger board size negatively impacts the firm performance. The present article adds to the empirical literature by employing panel data analysis of 145 non-financial companies listed in the NSE CNX 200 Index of India corresponding to 16 industries. The study is carried out for a period of five years from 2008 to 2012. The firm performance has been measured using Tobin’s Q and the market-to-book value ratio (MBVR) as market-based measures and return on assets (ROA) and return on capital employed (ROCE) as accounting-based measures. The fixed effect model, random effect model and feasible generalised least square (FGLS) regression models are applied to achieve the above-mentioned objectives. The results conclude that the board size has a positive and significant impact on the firm performance.


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