E-government as an anti-corruption tool: panel data analysis across countries

2019 ◽  
Vol 86 (4) ◽  
pp. 691-707 ◽  
Author(s):  
Chul Hyun Park ◽  
Koomin Kim
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Open Data ◽  
Fixed Effect Model ◽  
Open Government ◽  
Legal Systems ◽  
Discussion Forums ◽  
Online Discussion Forums ◽  
Effect Model

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.

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
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Minimum Wage ◽  
Foreign Investment ◽  
Government Spending ◽  
Panel Data Analysis ◽  
Fixed Effect Model ◽  
Quantitative Approach ◽  
Fem Method ◽  
Effect Model

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

scholarly journals Government Expenditure and Human Development in Indonesia

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Johan Beni Maharda ◽  
Bunga Zharfa Aulia
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Government Expenditure ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Per Capita

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.

scholarly journals Determinants of Dividend Policy in Sri Lanka: The Panel Data Analysis

2021 ◽  
Vol 16 (2) ◽  
pp. 289-313
Author(s):  
Lingesiya Kengatharan ◽  
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Firm Size ◽  
Dividend Policy ◽  
Panel Data Analysis ◽  
Fixed Effect Model ◽  
Shareholder Wealth ◽  
Fixed Effect ◽  
Sales Growth ◽  
Effect Model

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

Analysis of Board Size and Firm Performance: Evidence from NSE Companies Using Panel Data Approach

2016 ◽  
Vol 9 (2) ◽  
pp. 148-172 ◽  
Author(s):  
Anjala Kalsie ◽  
Shikha Mittal Shrivastav
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Least Square ◽  
Empirical Literature ◽  
Board Size ◽  
Effect Model

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.

scholarly journals ANALISIS PENGARUH UPAH MINIMUM TERHADAP KESEMPATAN KERJA SEKTOR INDUSTRI DENGAN PANEL DATA ANALYSIS

IQTISHODUNA ◽  
2011 ◽  
Author(s):  
Luthfiya Fathi Pusposari
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Control Variable ◽  
Industrial Sector ◽  
Fixed Effect ◽  
Minimum Wages ◽  
Effect Model

This study aims to determine the effect of minimum wages and employment of industrial sector in East Java. Researchers include two control variables are GDP as control variable of demand labor and work force as control variable of supply labor by using panel data from all districts and cities in East Java (29 districts and nine cities). Analysis of this study used panel data analysis which consisting of the Common Effect model, Fixed Effect model and Random Effect model, then chosed the most appropriate model. The result of this study show after testing the models, the appropriate model is fixed effect where minimum wages have negative effect of employment in industrial sector in east java.

scholarly journals A Panel Data Analysis of Globalization, Peace and Stability: Implications for Governance and the Global Knowledge Economy

2020 ◽  
Vol 4 (2) ◽  
pp. 1-1
Author(s):  
Ayaz Zafar ◽  
Muhammad Tariq Majeed
Keyword(s):  
Panel Data ◽  
Knowledge Economy ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Global Knowledge ◽  
Data Set ◽  
Effect Model

This study attempts to explore the relationship between globalization and the knowledge economy via governance. It intends to explain the channel of their relationship through peace and stability. Knowledge economy pillars (Education and Information and communication technology) are used as the dependent variable and globalization is used as an independent variable. To obtain the objectives of the study, the panel data set of 198 countries is used for the period of 1996-2016. The study has employed econometric techniques of panel data set such as the Fixed Effect Model (FEM), Random Effect Model (REM), and Hausman test. The results reveal that globalization has a significant and positive impact on the knowledge economy. Hence the study recommends that the country should execute such reforms that help enhance the globalization and increase the development of the knowledge economy.

scholarly journals Determinant Factors Poverty of Relativity in Banten Province: A Panel Data Analysis

2021 ◽  
Vol 4 (2) ◽  
pp. 131-141
Author(s):  
Deris Desmawan ◽  
Rizal Syaifudin ◽  
Randi Mamola Mamola ◽  
Hanifa Haya ◽  
Dwi Indriyani
Keyword(s):  
Human Capital ◽  
Panel Data ◽  
Income Inequality ◽  
Social Protection ◽  
Panel Data Analysis ◽  
Fixed Effect Model ◽  
Economic Recovery ◽  
Long Run ◽  
Effect Model ◽  
The Government

The problem of the poverty of relativity today is still a crucial topic considering the economic conditions in Indonesia are experiencing a slump due to Covid-19. The problem of poverty relativity is one of the main points that must be faced by the government in providing social protection assistance policies as a form of economic recovery during the Covid-19. The poverty of relativity in Banten Province is relatively high even though it has been ranked 10 nationally. Therefore, this study aims to analyze the relationship between unemployment, income inequality, and human capital as well as find out which level is very dominant in the long run on each of the variables that directly affect the relativity of poverty in Banten Province. This study examines how changes in economic indicators occur due to the Covid-19 pandemic in 8 Regencies/Cities of Banten Province. The analysis of this study uses panel data regression using the method Fixed Effect Model (FEM) in 8 regencies/cities in Banten Province in the data range from 2016 to 2020. The results of this study indicate that unemployment due to layoffs has a positive and significant influence on the relativity of poverty in 8 districts/cities of Banten Province. Furthermore, this study shows that income inequality has no significant and positive effect on the relativity of poverty. Meanwhile, human capital appears to be one of the dominant factors that can have a negative and significant impact on economic recovery and reduce the relative impact of poverty during the Covid-19 pandemic.

Female Director and Agency Cost: Does board gender diversity at Indian corporate board reduce agency conflict?

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Shubhanker Yadav ◽  
Miklesh Prasad Yadav
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Agency Cost ◽  
Fixed Effect ◽  
Principal Agent ◽  
Women Directors ◽  
Effect Model ◽  
Female Director

We examined the presence of women directors in top-level management and their effect on principal-principal conflict (PP) and principal-agent conflict (PA) on the firms listed on Indian stock exchange using a panel model approach. For analysis purpose, this study covers the sample of 75 companies belonging to various industries and listed in Bombay Stock Exchange Index, has been studied over thirteen financial years, i.e. from year 2006 to year 2019. This study uses panel data analysis, i.e. fixed effect model and random effect model. The proportion and presence (dichotomous) of women directors on top level management board is taken as the independent variable. Principal-principal conflict measured by assets utilization ratio (AUR), and principal-agent conflict is been measured by dividend payout ratio (DPR), are taken as dependent variable in this study. The prime results of this study using panel data analysis, i.e. fixed effect (FE) and random effects (RE) estimation models point towards no significant impact of the female director (proportion and presence) on the firm’s agency cost (PP and PA). 

scholarly journals The Impact of Economic Growth and Unemployment Rate on Poverty in Sulawesi

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Roflan R Badu ◽  
Syarwani Canon ◽  
Fitri Hadi Yulia Akib
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Unemployment Rate ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Effect Model ◽  
The Impact

This research aims to analyze several fators that may impact the provincial poverty rate in Sulawesi. Several factors considered in this research is the economic growth (growth of Gross Regional Domestic Product) and Unemployment Rate. This research uses secondary data from Central Statistics Bureau (Badan Pusat Statistik, BPS). This research uses panel data analysis on six provinces in Sulawesi during 2010-2017. This research uses Fixed Effect Model (FEM). Based on the results, it is found that economic growth and unemployment rate has significant and positive impact on poverty rate in Sulawesi. Keywords: Economic Growth; Unemployment Rate; Poverty.

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