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.

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 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 Pengaruh Pertumbuhan Ekonomi dan Investasi Terhadap Ketimpangan Pendapatan di Kabupeten/Kota Provinsi Nusa Tenggara Barat

2019 ◽  
Vol 3 (3) ◽  
pp. 365-375
Author(s):  
Mohammad Royan ◽  
Wahyu Hidayat Riyanto ◽  
Ida Nuraini
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Income Inequality ◽  
Significant Influence ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Regional Income Inequality ◽  
Independent Variable ◽  
Method Analysis

The distinction of interzonal potential will cause several problems such as uneven economic growth, the area-centered spreading investment, and income inequality. This research aims to analyze the effect of economic growth and investment on the inter-regional income inequality in West Nusa Tenggara from 2012 to 2017. This research uses secondary data obtained from BPS-Statistics Indonesia (Badan Pusat Statistik), and the Indonesian Investment Coordinating Board (Badan Koordinasi Penanaman Modal – BPKM). Williamson Index is used to representing income inequality, and the method analysis is the panel data analyzing with a Fixed Effect Model (FEM). The effect between a dependent variable and independent variable will be shown that economic growth has a positive and significant influence towards the income inequality, and investment has a positive and not significant influence towards the income inequality.

scholarly journals PENGARUH PROFITABILITAS TERHADAP KEBIJAKAN DIVIDEN DENGAN ANALISA DATA PANEL PADA MULTI-BISNIS DI BURSA EFEK INDONESIA PERIODE 2007-2017

2020 ◽  
Vol 8 (1) ◽  
pp. 15-27
Author(s):  
Jan Horas Veryady Purba
Keyword(s):  
Panel Data ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Dividend Payout ◽  
Effect Model

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.

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.

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 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

scholarly journals HUMAN CAPITAL AND INCOME INEQUALITY LINKAGE IN SUB- SAHARAN AFRICA: PANEL DATA ANALYSIS (1984–2016)

2021 ◽  
Vol 6 (2) ◽  
pp. 186
Author(s):  
Gashaw Getaye Molla
Keyword(s):  
Human Capital ◽  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Well Being ◽  
School Enrollment ◽  
Sub Saharan Africa ◽  
Sub Saharan

Income inequality means that one segment of the population has a disproportionately large share of income compared to the other. Disparities in income and wealth have tended to dominate the discussion on inequality because they contribute directly to individuals and families’ well-being and shape the opportunities people have in life. Therefore, addressing income inequality is essential to inspire each country’s population’s human and productive potentials to bring development. Therefore, this study examines the relationship between income inequality and human capital using static panel data analysis. Specifically, the study employs fixed effect panel data analysis using Least Square Dummy Variable for 25 sub-Saharan African countries. The World Bank data series was widely used as the data source for macroeconomic variables, while the Gini index has obtained from the Standardized World Income Inequality Database. The empirical results reveal that human capital in terms of secondary school enrollment rate has a negative impact on income inequality. The study also found a U-shaped relationship between real gross domestic product per capita and inequality, and it does not support the well-known concept of the Kuznets curve.Keywords: Income Inequality; Human Capital; Panel Data; Random Effect; Fixed Effect.JEL: C10, Q0, A10

Sign in / Sign up

Export Citation Format

Share Document