scholarly journals The Nexus Between Good Governance Indicators And Human Development Index In Africa: An Econometric Analysis

2020 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Paulos C Tsegaw
Keyword(s):  
Regression Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Good Governance ◽  
Political Stability ◽  
Development Effort ◽  
Panel Regression ◽  
African Countries ◽  
Development Index ◽  
Governance Indicators

This study examines the association between good governance indicators and the human development index in Africa. Accordingly, it uses the panel data of 49 African countries from 2000-2018 on the six World Bank governance indicators (WGIs) and the UNDP aggregate human development index (HDI). The data are analyzed using descriptive statistics and panel regression analysis. The descriptive statistical analysis shows that most of the countries that are scoring high in the governance indicators are also scoring high in the human development index. It also indicates that Africa's average score in all governance indicators from 2000-2018 ranges between 36.2 % and 40.4%, while the score for human development was 50.8%. Using a one-year moving average, the calculated improvement rates for the eighteen years in all the governance and human development indicators were meager. The finding from the panel regression analysis attests only the three good governance indicators - the rule of law, regulatory quality, and political stability and absence of violence - are significantly and directly associated with the human development index. The finding implies that policy makers in African countries should give emphasis on these three good governance indicators to augment their human development effort.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI AGLOMERASI DI KABUPATEN BANDUNG BARAT

Media Ekonomi ◽  
2020 ◽  
Vol 27 (2) ◽  
pp. 133
Author(s):  
Budi Santosa ◽  
Shafira Putri Salsabila ◽  
Soeharjoto Soeharjoto
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Panel Regression ◽  
Development Index ◽  
Positive Effect

<p align="left"><em>The aim of this study is to analysis factors that affect the Agglomeration at West Bandung Regency in 14 districts. This study uses panel regression analysis with the help of Eviews analysis 9. The data used in this research is the growth of the GDP data, the human development index and the number of inhabitants of the 14 Subdistricts in 2014 to 2016 period (42 observations). The results show that economic growth has no effect the agglomeration, while the human development index and  population has a positive effect on agglomeration. From the results obatained, there are 3 sub districts that have perfectly impact of Agglomeration. The sub districts are Lembang, Ngamprang and Padalarang.</em></p><p align="left"> </p>

An Analysis of The Relation Between Foreign Direct Investment and Sociopolitical Variables in MENA Countries by Panel Regression

2019 ◽  
Vol 8 (1) ◽  
pp. 15-30
Author(s):  
Betül Gür
Keyword(s):  
Foreign Direct Investment ◽  
Human Development ◽  
Human Development Index ◽  
Direct Investment ◽  
Multidimensional Poverty ◽  
Panel Regression ◽  
Poverty Index ◽  
Development Index ◽  
Mena Countries ◽  
Multidimensional Poverty Index

Foreign direct investment (FDI) plays the role of an accelerator for the economic growth in host countries. Countries that provide the suitable environment economically and politically get ahead in this race. Over the last five years, the weighted importance of sociopolitical variables in the decision-making process has increased. The countries of the Middle East and North Africa (MENA) region, although they have a potential to develop, are regarded as country groups that have not yet fully achieved this. This article reveals and interprets the relationship between FDI and sociopolitical variables such as political risk, human development index, terrorism risk index, multidimensional poverty index, the rule of law, regulatory quality, and control of corruption, utilizing panel regression analysis. In the analysis of the MENA countries covering the years 2010-2016, it was concluded that all independent variables except the human development index and multidimensional poverty index were statistically significant and effective on FDI.

ANALISIS PENGARUH INDEKS PEMBANGUNAN MANUSIA DAN TINGKAT PENGANGGURAN TERBUKA TERHADAP KEMISKINAN DI INDONESIA

2019 ◽  
Vol 2 (2) ◽  
pp. 77-89
Author(s):  
Saparuddin Mukhtar ◽  
Ari Saptono ◽  
As’ad Samsul Arifin
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Lagrange Multiplier Test ◽  
Development Index ◽  
Analysis Techniques ◽  
Negative Effect

Abstract - This study aims to determine the effect of Human Development Index and Open Unemployment to poverty in Indonesia. The data in this study are secondary data about the human development index, the opened unemployment rate, and the percentage of poverty. The data is obtained from panel data of 33 provinces in Indonesia for 4 years from 2011 to 2014. The data analysis techniques uses regression analysis by using Random Effects based on the results of the Lagrange Multiplier test. The results showes that the Human Development Index hasa significant negative effect to poverty. Meanwhile, the level of opened unemployment has no significant effect to poverty in Indonesia. Keywords: Human Development Index, Opened Unemployment Rate, Poverty

scholarly journals Human development index modelling in South Kalimantan province using panel regression

2021 ◽  
Vol 2106 (1) ◽  
pp. 012004
Author(s):  
M Istiqhomah ◽  
N Salam ◽  
A S Lestia
Keyword(s):  
Quality Of Life ◽  
Data Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Fixed Effect Model ◽  
Time Effect ◽  
Panel Regression ◽  
Development Index ◽  
Effect Model

Abstract Human development is a paradigm and becomes the focus and target of all development activities. Development is a way to improve welfare and a better quality of life. The Human Development Index (HDI) is one indicator to measure the success of a development. The purpose of this research is to describe the factors that are thought to influence HDI in South Kalimantan Province, estimate the parameters of the HDI panel regression model, and determine the best model. The data of this research is sourced from the Central Statistics Agency (BPS) of South Kalimantan Province with a period from 2015-2018. Based on the results of data analysis it can be concluded that the Fixed Effect Model with the time effect is the best model of the HDI panel regression in South Kalimantan Province with an R-Squared value of 99,81.

scholarly journals Relationship of Anti-Money Laundering Index with GDP, financial market development, and Human Development Index

2021 ◽  
Vol 26 (1) ◽  
pp. 21-33
Author(s):  
Mile Šikman ◽  
Miloš Grujić
Keyword(s):  
Economic Development ◽  
Human Development ◽  
Financial Market ◽  
Money Laundering ◽  
Human Development Index ◽  
Political Stability ◽  
Market Development ◽  
Development Index ◽  
Financial Market Development ◽  
Relationship Of

Money laundering has a direct impact, among other things, on the economic development of a country. The aim of this research is to determine the correlation between money laundering and economic development expressed through GDP, as well as between financial market development (FDI) and the Human Development Index (HDI). The results of the research show that there was a significant relationship between the observed variables, i.e. that there is a relation of the Anti-Money Laundering Index (AMLI) on GDP, financial market development and the HDI. Namely, given that medium-strong links between the observed variables have been established, it can be claimed that there is reason to believe that "copying the behaviour" of a certain country in the fight against money laundering can further develop the financial market, influence human development or an increase in GDP per capita. In particular, a decrease in the AMLI was expected to increase the FDI (R2 = 0.2601). A decrease in the AMLI was expected to increase the HDI (R2 = 0.5747). In that way, financial institutions are directly affected, which negatively relates to economic and political stability.

scholarly journals MODEL GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) DENGAN FUNGSI KERNEL FIXED GAUSSIAN PADA INDEKS PEMBANGUNAN MANUSIA DI JAWA TIMUR

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Dia Cahya Wati ◽  
Herni Utami
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Weighting Function ◽  
Average Length ◽  
Local Linear Regression ◽  
Coefficient Of Determination ◽  
Model Parameters ◽  
Panel Regression ◽  
Spatial Effects ◽  
Development Index

The Geographically Weighted Panel Regression (GWPR) model is a com-bination of panel data and GWR. The GWPR model is a development of the globalregression model where ideas are taken from non-parametric regression. This model is alinear regression model that is local (local linear regression) which produces an estima-tor of the model parameters that affects local for each point or location where the datais collected. The purpose of this study is form a GWPR model with a fixed gaussiankernel weighting function in overcoming the problem of spatial effects and geographicalfactors that affect an area to another region. The data used in this study is secondarydata taken from the Central Statistics Agency (BPS) website consisting of the HumanDevelopment Index in East Java 2013-2016. This study produces data for the making ofthe Human Development Index using the GWPR method in the formation of the model,where the coefficient of determination generated is 98,74%.Factors that increase HDI es-pecially Mojokerto Regency are average length of school (RLS), life expectancy (AHH),and the construction expensiveness index (IKK). Keywords: GWPR, Fixed Gaussian, Human Development Index, East Java.

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