scholarly journals Governance and Human Development: The Impacts of Governance Indicators on Human Development

2018 ◽  
Vol 8 (1) ◽  
pp. 26
Author(s):  
Ahmet Keser ◽  
Yunus Gökmen
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Annual Data ◽  
Government Effectiveness ◽  
Governance Indicators ◽  
Regulatory Quality ◽  
Panel Data Regression ◽  
Data Regression ◽  
Positive Coefficients ◽  
Nations Development

Throughout the article, the relation between the governance indicators and the Human Development Level (HDL) is investigated. The analysis is conducted by using Panel Data Regression Method. The valid annual data of World Governance Index between the years 2002–2012 for 33 member and candidate countries of European Union (EU) is collected from World Bank’s official website. To measure HDL, data of Human Development Index (HDI) belonging to 2002-2012 term is gathered from United Nations Development Programme’s official website. The analysis concluded that, at least three of the governance indicators as Government Effectiveness, Regulatory Quality and Rule of Law have significant positive coefficients in the panel data regression model. It means that better governance performance for any country provides better performance at the HDL. It is evaluated that the results of the research may provide useful instrument both for public policy designers and for academics.

scholarly journals Institutional Quality and Sukuk Development: A Study of Five OIC Countries

2020 ◽  
Vol 5 (3) ◽  
pp. 286
Author(s):  
Nuhbatul Basyariah ◽  
Hadri Kusuma ◽  
Ibnu Qizam
Keyword(s):  
United Arab Emirates ◽  
Rule Of Law ◽  
Institutional Quality ◽  
Three Dimensions ◽  
Method Of Moment ◽  
Government Effectiveness ◽  
Governance Indicators ◽  
Regulatory Quality ◽  
Panel Data Regression ◽  
Data Regression

The objective of this study is to shed some light on the effect of institutional quality on the development of the global sukuk market. Specifically, this study examines the impacts of the institutional quality that adopts three dimensions of the Worldwide Governance Indicators (WGI), i.e., Rule of Law (RL), Regulatory Quality (RQ), and Government effectiveness (GE) on the global sukuk development of the top-five countries of sukuk issuance, i.e., Malaysia, Kingdom of Saudi Arabia, United Arab Emirates, Indonesia, and Bahrain. Drawing on a quantitative study with the data in the forms of global sukuk issuance from 2002 to 2017, panel-data regression (OLS) and General Method of Moment (GMM) were applied. This study showed that RL and GE have a significantly positive effect on sukuk issuance; however, RQ did not influence the development of the global sukuk market. These results imply that a country that is capable to maintain the institutional quality, especially in terms of rule of law and government effectiveness, will most likely be the country that can successfully develop the sukuk market. These results play a crucial role in filling a research gap among previous studies and provide an empirical evidence of the government’s role and its influence on the sukuk development.

scholarly journals THE EFFECT OF PROFITABILITY, CAPITAL STRUCTURE AND CORPORATE VALUES ON RETURN OF SHARES (TELECOMMUNICATIONS SUB SECTOR IN INDONESIA STOCK EXCHANGE 2014-2018)

2020 ◽  
Vol 1 (1) ◽  
pp. 69-77
Author(s):  
Asih Try Wulandari ◽  
Aty Herawati
Keyword(s):  
Panel Data ◽  
Stock Returns ◽  
Stock Return ◽  
Stock Exchange ◽  
Series Data ◽  
Annual Data ◽  
Business World ◽  
Telecommunications Sector ◽  
Panel Data Regression ◽  
Data Regression

The development of increasingly stringent business world in Indonesia will create an increasingly sharp competition between companies. Firms in the industry in Indonesia is a land for investors to invest capital to be invested in various forms of securities. So it is not wrong for the company's various aspects and types become part of the capital market. This study was conducted to determine the effect of ROE, DER and PBV to Stock Return on Telecommunications Sector Sub Listed in Indonesia Stock Exchange. This study uses annual data for the observation period from 2014 until 2018. The research type is descriptive causality. The data used is the data panel that is a combination of annual time series data and cross section were processed using panel data regression analysis. The population is all Sub-Sector Telecommunications listed in Indonesia Stock Exchange from 2014 until 2018 the number of 5 companies. The sampling technique used purposive sampling, found a sample of four companies with the observation of 5 years in order to obtain total observation as much as 20. Data were obtained from the Indonesia Stock Exchange, and Yahoo Finance. Analysis of the data in this study is panel data regression. The model used is the Common Effect Model. The analysis showed that the ROE does not have a significant effect on stock returns, DER has no significant effect on stock returns, while PBV positive and significant effect Stock Return on Telecommunications Sector Sub Listed in Indonesia Stock Exchange.

scholarly journals Modeling Human Development Index of Bali with Spatial Panel Data Regression

2019 ◽  
Vol 4 (5) ◽  
pp. 132-137
Author(s):  
Mita Lasdiyanti ◽  
Eka N. Kencana ◽  
Putu Suciptawati
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Spatial Error ◽  
Development Index ◽  
Spatial Panel ◽  
Panel Data Regression ◽  
Data Regression ◽  
Spatial Panel Data

Human development index (HDI) is an index that represents the successfulness of human development in a region. For Bali, one of 34 provinces in Indonesia, the progress of HDI in the period 2010–2017 showed an increasing trend. In the year 2010, the Bali’s HDI is accounted for 70.10, gradually increase to 74.30 in the year 2017. However, in 2017 there are some regions with their HDIs are below of Bali’s HDI, namely Jembrana, Buleleng, Klungkung, Bangli, and Karangasem. The aim of this work is to model the HDI of 9 regencies of Bali so that the main determinant to increase the HDIs especially for the regencies with lower HDIs could be determined. The model consists of one dependent variable (HDI) with three indicators as the independent ones, there are (a) life expectancy, (b) education, and (b) standard of living. By applying spatial panel data analysis, five models were built i.e. CEM, FEM (individual), FEM (time), REM, and spatial error FEM to determine the effect of each indicator. The result shows the best model is spatial error FEM in which education has the biggest influence compare than the others.

Social Factors Associated with the Decline in Caries in Brazilian Children between 1996 and 2010

2016 ◽  
Vol 50 (6) ◽  
pp. 551-559 ◽  
Author(s):  
Angelo Giuseppe Roncalli ◽  
Aubrey Sheiham ◽  
Georgios Tsakos ◽  
Georgia Costa de Araújo-Souza ◽  
Richard G. Watt
Keyword(s):  
Panel Data ◽  
Dental Caries ◽  
Human Development ◽  
Social Factors ◽  
Fixed Effects ◽  
Secondary Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Brazilian Children

Dental caries levels have declined in children since the 1970s in many countries. Most of the postulated main reasons for the decline are speculative and have not been rigorously evaluated. The objective of this study was to assess the relationship between some social factors and the decline in dental caries in Brazilian 12-year-old children from 1996 to 2010. Secondary analysis of national data was performed in 27 Brazilian state capitals. A panel data regression model with fixed effects and multiple linear regression were used to verify the relationship between the explanatory and the dependent variables and also the time-trend effect. The results showed that the DMFT (decayed, missing, and filled teeth) decreased by about 3% per year, and the percentage of caries-free children increased by 4.5% per year. For DMFT and percentage caries free, the results for the panel data regression showed a significant association for the Human Development Index (HDI) in the adjusted model (p = 0.010). When the overall changes over time were compared, the Gini index had a significant association with the overall change in DMFT in the final model of the multiple regression analysis (p = 0.033). Our results indicate that the maintenance of good levels of human development, which includes better education, income, and longevity, are important factors relating to improving levels of oral health in 12-year-old Brazilian children. However, to accelerate this process in cities with the worst caries situation, income inequality should be tackled.

scholarly journals Kebijakan Spin-off dan Efisiensi Perbankan Syariah di Indonesia

2019 ◽  
Vol 2 (1) ◽  
pp. 21
Author(s):  
Zulfikar Bagus Pambuko
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Islamic Banking ◽  
Annual Data ◽  
Islamic Banks ◽  
Growth Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

The study aims to analyse the spin-off policies’ impact on the Islamic banks’ efficiency in Indonesia. The study was conducted on five spin-off Islamic banks and efficiency were measured by the BOPO ratio. The research variables used were dummy spin-off, ROA, FDR, and economic growth. Data analysis used panel data regression on annual data from 2008 to 2018. The results suggest that, first, the implementation of spin-off policy significantly increased the operational efficiency of Islamic banking. Second, ROA also has a negative effect on efficiency. Third, FDR and economic growth have no significant effect on the Islamic banks’ efficiency in Indonesia.

scholarly journals ANALISIS PENGARUH PERTUMBUHAN EKONOMI, UPAH MINIMUM DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP TINGKAT PENGANGGURAN DI PROVINSI JAWA TIMUR TAHUN 2008-2014

2014 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Muhammad Nurcholis
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Analysis Model ◽  
Development Index ◽  
Panel Data Regression ◽  
Data Regression

In this study, the expected goal is to determine the distribution, classification and influence economic growth, minimum wage, and the Human Development Index of the level of unemployment in East Java Province 2008-2012. This research uses descriptive quantitative research methods. Data analysis in accordance with the formulation of the problem and the purpose of the study is using panel data regression analysis model and using the classification of the intensity and GIS. Based on panel data regression results show that perumbuhan economy, the minimum wage and the human development index have a significant effect on the unemployment rate. Variable economic growth and the negative effect of minimum wages, while the human development index positive effect. As for testing the F calculation, economic growth, the minimum wage and the human development index have a significant effect on the unemployment rate.

scholarly journals Determinant Analysis of Open Unemployment Level in Banten Province, 2018 Using Panel Data Regression

2020 ◽  
Vol 2 (2) ◽  
pp. 191-201
Author(s):  
Isdhani Nurrahmah ◽  
Roy Pratama Wijaya ◽  
Syifa Rahmawati Hakim ◽  
Yusuf Yahya ◽  
Rani Nooraeni
Keyword(s):  
Growth Rate ◽  
Panel Data ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Participation Rate ◽  
Poor People ◽  
Annual Data ◽  
School Participation ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyse the relationship of crude school participation rate, the number of poor people, and the GDRP growth rate to the open unemployment rate in Banten. The analytical method used in this study is panel data regression with fixed effect model estimation which is processed using statistical software EViews 10. The data that are used in this study are secondary data from Badan Pusat Statistik (BPS), by taking annual data for each district in Banten province from 2011 until 2018. The results of this study indicate that the GDRP growth rate significantly affects the open unemployment rate, but the crude school participation rate and the number of poor people do not significantly affect the open unemployment rate in Banten.

scholarly journals The Non-Linear Relation between Governance and Efficiency: Evidence from Agriculture

2017 ◽  
Vol 5 (11) ◽  
pp. 1334
Author(s):  
Nizamettin Bayyurt ◽  
Zehra Vildan Serin
Keyword(s):  
Good Governance ◽  
Political Stability ◽  
Developed Countries ◽  
Data Envelopment ◽  
Governance Indicators ◽  
Agricultural Performance ◽  
Regulatory Quality ◽  
Panel Data Regression ◽  
Data Regression ◽  
Highly Correlated

This study aims to explore the relations between governance and agricultural performance of countries. Data Envelopment Analysis was used to find out agricultural performance of 81 countries at first stage. Panel data regression was employed in the second stage to assess the relations between performance levels of countries and their governance. Six governance indicators namely; voice and accountability, control of corruption, government effectiveness, regulatory quality, rule of law and political stability and violence were analyzed in this stage. Findings show that firstly, governance indicators are highly correlated with each other. Secondly, developed countries are more efficient and have better governance than developing and undeveloped countries. Finally, a quadratic form of regression was the fitting model that is the marginal effects of good governance on performance are increasing in high values of governance.

scholarly journals Pengaruh Produk Domestik Regional Bruto dan belanja pemerintah fungsi pendidikan terhadap Indeks Pembangunan Manusia di Provinsi Kepulauan Bangka Belitung

SOROT ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 43
Author(s):  
Erlangga Hadinata ◽  
Devi Valeriani ◽  
Suhartono Suhartono
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Fixed Effect ◽  
Domestic Product ◽  
Development Index ◽  
Analysis Techniques ◽  
Panel Data Regression ◽  
Data Regression

Tujuan penelitian ini untuk melihat pengaruh Produk Domestik Regional Bruto (PDRB) dan belanja pemerintah fungsi pendidikan terhadap Indeks Pembangunan Manusia (IPM) Provinsi Kepulauan Bangka Belitung periode 2014-2018. Penelitian ini menggunakan pendekatan kuantitatif. Data yang digunakan adalah data panel kabupaten/kota di Provinsi Kepulauan Bangka Belitung yang terdiri dari Bangka, Belitung, Bangka Barat, Bangka Tengah, Bangka Selatan, Belitung Timur, dan Pangkal Pinang tahun 2014-2018. Teknik analisis data dalam penelitian ini menggunakan analisis regresi data panel dengan model fixed effect. Hasil penelitian menunjukkan bahwa Produk Domestik Regional Bruto dan belanja pemerintah fungsi pendidikan berpengaruh positif dan signifikan terhadap Indeks Pembangunan Manusia di Provinsi Kepulauan Bangka Belitung.The purpose of this study was to examine the effect of Gross Regional Domestic Product (GRDP) and government spending in the education function on the Human Development Index (HDI) of the Province of Bangka Belitung Islands in the 2014-2018 period. This study uses a quantitative approach. The data used are district / city panel data in the Bangka Belitung Islands Province consisting of Bangka, Belitung, West Bangka, Central Bangka, South Bangka, East Belitung, and Pangkal Pinang in 2014-2018. Data analysis techniques in this study used panel data regression analysis with Fixed Effect models. Research Results Show that the Gross Regional Domestic Product and government spending in the education function have a positive and significant effect on the Human Development Index in the Bangka Belitung Islands Province.

scholarly journals Pengaruh Upah Minimum, Kemiskinan dan Pengangguran pada IPM di Kabupaten/Kota Provinsi Jawa Timur

2021 ◽  
Vol 12 (2) ◽  
pp. 214-227
Author(s):  
Moh. Faizin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Human Development Index ◽  
Development Index ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Country Today

The paradigm of development of a country today is not only measured by the rate of economic growth, but also by paying attention to human development. The purpose of this study was to analyze the effect of minimum wages, poverty and unemployment on the Human Development Index (HDI) in districts/cities in East Java Province. The method used is panel data regression in 38 districts/cities in East Java in 2010/2018. The results showed partially, the minimum wage has a positive and significant effect, poverty has a negative but not significant effect, and unemployment has a negative and significant effect, toward HDI. Simultaneously, the results found that the three independent variables (i.e.: minimum wage, poverty and unemployment) had a significant effect on HDI.

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