scholarly journals Analisis Faktor-faktor yang Mempengaruhi Indeks Pembangunan Manusia Kabupaten Malang Berbasis Pendekatan Perwilayahan dan Regresi Panel

2017 ◽  
Vol 1 (2) ◽  
pp. 202 ◽  
Author(s):  
Zulfikar Mohamad Yamin Latuconsina
Keyword(s):  
Population Density ◽  
Human Development ◽  
Significant Influence ◽  
Human Development Index ◽  
Regression Method ◽  
Panel Regression ◽  
Development Index ◽  
Nurse Midwife ◽  
Development Goals ◽  
Development Area

Regionalization approach is a kind of approach to manage and to achieve the development goals based on the characteristics of a region. The development system of Malang Regency is conducted through regionalization approach which divided the area into six Development Areas (WP). Furthermore, the typology of development area in Malang Regency can be divided into three typology (urban, peri-urban and rural). This research aims to analyze factors that influence the human development index (HDI) of Malang Regency based on regionalization approach and panel regression. Data panel regression method was used in analyzing the data. The results of the research showed variables that have a positive and significant influence to the human development index in each typology of development areas of Malang Regency consisting of the number of health facilities, the number of nurse-midwife and the population density in typology I (urban); the ratio of school per students at primary school and the population density in typology II (peri-urban); and the number of nurse-midwife in typology III (rural).

scholarly journals THE EFFECT OF CAPITAL ALLOCATIONS TO ECONOMIC GROWTH, HUMAN DEVELOPMENT AND POVERTY INDEX PROVINCE IN THE NORTH MALUKU IN YEAR 2010 - 2016

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
M Iksan Umsohy
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Significant Influence ◽  
Human Development Index ◽  
Negative Impact ◽  
Capital Expenditure ◽  
Poverty Level ◽  
Development Index ◽  
The North ◽  
Expenditure Allocation

This study aims to test and analyze: 1 Influence of Capital Expenditure Allocation to Economic Growth, 2 Influence of Allocation of Capital Expenditure and Economic Growth to Human Development Index, 3 Influence of Capital Expenditure Allocation, Economic Growth and Human Development Index to Poverty in Districts / Cities in North Maluku Province. The research method used is panel data regression. The results of this research founded that model 1 influence of Capital Expenditure Allocation have significant influence to Economic Growth. Model 2 Capital Expenditure Allocation has a positive but insignificant influence on the Human Development Index even though the increase is not significant while Economic Growth has positive and significant effect on Human Development Index while model 3 allocation of Capital Expenditure has positive and significant influence to Poverty. While Economic Growth has a negative impact on Poverty, Furthermore, Human Development Index (HDI) as an indicator of strengthening of human resources has a negative and significant influence on Poverty level in 9 regencies of North Maluku Province.  Keywords: Allocation of Capital Expenditure, Growth, Human Development Index, Poverty  

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.

scholarly journals Effect of human development index parameters on tuberculosis incidence in Turkish provinces

2016 ◽  
Vol 10 (11) ◽  
pp. 1183-1190 ◽  
Author(s):  
Mahsuk Taylan ◽  
Melike Demir ◽  
Sureyya Yılmaz ◽  
Halide Kaya ◽  
Hadice Selimoglu Sen ◽  
...  
Keyword(s):  
Population Density ◽  
Human Development ◽  
General Practitioners ◽  
Human Development Index ◽  
Access To Health Services ◽  
Female Population ◽  
Development Index ◽  
Predicting Factors ◽  
Access To Health ◽  
Lower Population

Introduction: A country’s development level is measured with a quantitative parameter called the human development index (HDI). The present study researched the effects of HDI parameters (such as healthcare standards, income, and education level) on the incidence of tuberculosis. Methodology: HDI data of 36 provinces of Turkey and the tuberculosis surveillance data were obtained from the Ministry of Development and the Ministry of Health, respectively. The associations between the incidence of tuberculosis and other HDI parameters were analyzed. Results: Higher population density (n/km2) (CI = 0.05 to 0.40) and higher relapse rate of tuberculosis (CI = 0.36 to 1.48) were identified to be independent predicting factors that increased the incidence of tuberculosis, whereas higher gross national product (CI = -0.06 to 0.00), the population that holds a green Medicare card (CI=-0.58 to -0.04), increased general practitioners per 100,000 people (CI=-0.66 to -0.01), female population (CI = -0.70 to -0.06), married population (CI = -1.34 to -0.03), were found to be significant negative predicting factors that were relevant to the incidence (protective against tuberculosis). Conclusions: Tuberculosis is a disease that is affected by multiple factors, including the components of HDI. Improvement of income level, facilitation of access to health services via health insurance, urbanization with lower population density strategy, and provision of enough general practitioners may be useful in reducing the incidence of TB' in provinces of developing countries such as Turkey.

scholarly journals Effects of Capital Expenditures, Development Index and Unemployment on Poverty in Gorontalo Province

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Dewi Purnama Isa ◽  
Muhammad Amir Arham ◽  
Sri Indriyani Dai
Keyword(s):  
Human Development ◽  
Significant Influence ◽  
Human Development Index ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Capital Expenditures ◽  
Regional Government ◽  
Poverty Level ◽  
Development Index ◽  
Fixed Model

This study aims to analyze the effect of capital expenditure in the form of regional government budgets to obtain fixed assets, the Human Development Index and Unemployment to the Poverty Level in Gorontalo Province. The data used are secondary data obtained from the Gorontalo Province Central Bureau of Statistics and the Registration Management Information System (Simreg Bappenas) during the period 2010-2015, the unit of analysis is 5 districts 1 city in Gorontalo Province. The research estimate uses panel data multiple regression analysis with the Fixed Model Effect (FEM) method. The results of the study indicate that (i) The amount of capital expenditure allocated by each region in Gorontalo Province shows a positive and significant influence on the Poverty Level in the 2010-2016 period. (ii) The Human Development Index, which is a benchmark for the achievement of an area in three basic things such as life expectancy, education level, and a decent level of life, turned out to have a positive and significant influence on the District / City Kemskinan Level in Gorontalo Province. (iii) Unemployment has a positive but not significant effect on the District / City Poverty Level in Gorontalo Province in the period 2010-2016.Keywords: Capital Expenditures, Development Index, Unemployment, Poverty

scholarly journals Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
André O. Werneck ◽  
◽  
Kabir P. Sadarangani ◽  
Robinson Ramírez-Vélez ◽  
Se-Sergio Baldew ◽  
...  
Keyword(s):  
Physical Activity ◽  
Population Density ◽  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Total Population ◽  
Sitting Time ◽  
Domestic Product ◽  
South American ◽  
Development Index

Abstract Background Our aim was to investigate the association of macroeconomic, human development, and demographic factors with different domains of physical activity and sitting time among South American adults. Methods We used data from nationally representative samples in Argentina (n = 26,932), Brazil (n = 52,490), Chile (n = 3866), Colombia (n = 14,208), Ecuador (n = 19,883), Peru (n = 8820), and Uruguay (n = 2403). Our outcomes included leisure time (≥150 min/week), transport (≥10 min/week), occupational (≥10 min/week), and total (≥150 min/week) physical activity, as well as sitting time (≥4 h/day), which were collected through self-reported questionnaires. As exposures, gross domestic product, total population, population density, and human development index indicators from the most updated national census of each country were used. Age and education were used as covariates. Multilevel logistic regressions with harmonized random effect meta-analyses were conducted, comparing highest vs. lowest (reference) tertiles. Results Higher odds for transport physical activity were observed among the highest tertiles of total population (ORmen: 1.41; 95% CI: 1.23–1.62), ORwomen: 1.51; 95% CI:1.32–1.73), population density (ORmen: 1.36; 95% CI: 1.18–1.57, ORwomen: 1.49; 95% CI: 1.30–1.70), and gross domestic product (ORmen: 1.16; 95% CI: 1.00–1.35, ORwomen: 1.39; 95% CI: 1.20–1.61). For leisure physical activity, women living in departments with higher human development index presented 18% higher odds for being active, and for total physical activity a similar estimate in both sexes was observed among those who live in more populated areas. No consistent associations were found for occupational physical activity and sitting time. Conclusion Macroeconomic, demographic and human development indicators are associated with different domains of physical activity in the South American context, which can in turn guide policies to promote physical activity in the region.

scholarly journals KEMISKINAN BERBASIS SUSTAINABLE DEVELOPMENT DI PROVINSI JAWA TIMUR

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Yunita Firdha Kyswantoro
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Human Development ◽  
Human Development Index ◽  
Point Of View ◽  
Human Beings ◽  
Poverty Level ◽  
Economic Point ◽  
Development Index ◽  
Development Goals

Poverty is one of the goals of the concept of sustainable development. Sustainable Development itself has many indicators such as economic, social, cultural, environment, etc. But in this study, the authors take only a few factors from an economic point of view. Economic growth, open unemployment rate, regional imbalance rate and human development index are some factors that are considered to describe poverty level in East Java Province. This research uses Fixed Effect (FEM) model panel data regression in 38 regencies/cities in East Java Province in 2011-2015. The results of this study indicate that the variables of economic growth and open unemployment variables have no significant effect in describing the level of poverty in East Java. While the variable level of regionalimbalance and variable of HDI have the significant effect on poverty in East Java. Therefore, to achieve sustainable development goals (SDGs), the reduction of poverty in various regions requires a balance of social and economic, not only through the increase of high economic growth but must be accompanied with equitable distribution of income distribution so that the level of regional inequality is smaller and by improving the quality of resources human beings through Human Development Index (HDI) in each region.

scholarly journals Factors Influencing The First and Second Peak of COVID-19 Global Cases: A Survival Analysis

2021 ◽  
Author(s):  
Yesar Ahmed Oshan ◽  
Begum Zainab ◽  
Dipankar Bandyopadhyay ◽  
Hasinur Rahaman Khan
Keyword(s):  
Population Density ◽  
Human Development ◽  
Human Development Index ◽  
Prevalence Rate ◽  
Median Number ◽  
Cardiovascular Death ◽  
Diabetes Prevalence ◽  
Development Index ◽  
Significant Difference ◽  
Second Peak

Objectives: The number of reported cases continues to increase everyday, since the first case of COVID-19 was detected in Wuhan, China in December 2019. Using the global COVID-19 data of 188 countries extracted from the Our World in Data between January 22, 2020--January 18, 2021, this study attempts to explore the potential determinants of the number of days to reach the first and second peak of COVID-19 cases for all 188 countries. Methods: A semi-parametric Cox proportional hazard (PH) model has been used to explore the covariates that are associated with the number of days to reach the first and second peak of global COVID-19 cases. Results: As of January 18, 2021, the first and second peak were found in 175 and 59 countries, out of 188 countries, respectively. The median number of days to hit the first peak was 60 days for countries which have median age above 40 while the median number of days to hit the second peak was 267 days for countries which have population density above 500 per square kilometer. Countries having population density between 250 and 500 were 2.25 times more likely to experience the first peak of COVID-19 cases (95% CI: 1.15-4.45, P<0.05) than countries which have population density below 25. Countries having population density between 100 and 250 were 67% less likely to get the second peak (95% CI: 0.119-0.908, P<0.05) compared to countries which have population density below 25. Countries having cardiovascular death rates above 350 were 2.94 times more likely to get the first peak (95% CI: 1.59-5.43, P<0.001). In contrast, countries having diabetes prevalence rate 3 to 12 were 85% less likely to experience the second peak of COVID-19 cases (95% CI: 0.036-0.680, P<0.05) than countries which have diabetes prevalence rate below 3. Besides, highly significant difference is found in the Kaplan-Meier plots of the number of days to reach both peaks across different categories of the country's Human Development Index. Conclusions: The number of days to the first peak was considerably small in Asian & European countries but that to the second peak in the countries where diabetes prevalence was very higher. Country's life expectancy had a significant effect on determining the first peak and so was the case for two other variables--the cardiovascular death rate and hospital beds per thousand. A contrast result was found for Human Development Index factor under the second peak. Additionally, it was found that the second peak was more likely to occur in more densely populated countries.

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 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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