scholarly journals Analysis of the Relationship between Human Development Index and Regional Development of West Sulawesi Province

2021 ◽  
Vol 2 (4) ◽  
pp. 31-38
Author(s):  
Muhammad Haekal Ansyar ◽  
Rusnadi Padjung ◽  
Muslim Salam
Keyword(s):  
Life Expectancy ◽  
Regional Development ◽  
Human Development ◽  
Human Development Index ◽  
Power Index ◽  
Regional Inequality ◽  
Purchasing Power ◽  
Development Index ◽  
The Relationship ◽  
Years Of Schooling

This study aims to analyze the relationship between the human development index and the regional development of West Sulawesi Province. This study uses panel data analysis that combines time series-cross section data and uses the Two Stage Least Square (2SLS) method. The type of data in this study is secondary data taken from the Central Statistics Agency (BPS) of West Sulawesi. The variables of the human development index are life expectancy, average length of schooling, expected length of schooling and purchasing power index. While the variables of regional development are poverty, unemployment, regional inequality and GRDP. The results of the analysis using the 2SLS method. In the HDI equation, the PW variable partially has a negative but not significant effect on the HDI for =5%. However, if for =20% PW has a negative and significant effect on HDI. While in the PW equation, the HDI variable partially has a negative but not significant effect on PW for = 5%. The R2 in the HDI equation is 97.5% and the remaining 2.5% which shows that the influence of PW, Life Expectancy, Average Years of Schooling, Expected Years of Schooling, and Purchasing Power Index together have an effect on HDI. While in the PW equation, the determination of R2 is 99.2% and the remaining 0.8% which shows HDI, Poverty Level, Unemployment Rate, Regional Inequality and Gross Regional Domestic Product together affect PW. So, there is a simultaneous relationship between the Human Development Index and Regional Development

scholarly journals The incidence and mortality of lip and oral cavity cancer and its relationship to the 2012 Human Development Index of Asia

2017 ◽  
Vol 4 (02) ◽  
pp. 1147 ◽  
Author(s):  
Amir Tiyuri ◽  
Abdollah Mohammadian-Hafshejani ◽  
Elham Iziy ◽  
Hamidreza Sadeghi Gandomani ◽  
Hamid Salehiniya
Keyword(s):  
Mortality Rate ◽  
Life Expectancy ◽  
Oral Cavity ◽  
Human Development ◽  
Human Development Index ◽  
Oral Cavity Cancer ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
Incidence And Mortality ◽  
Years Of Schooling

Introduction: Lip and oral cavity cancer is one of the most prevalent cancers in Asia and considered to be a major public health problem due to the low survival rate. Because of the importance of access to information about this cancer (including incidence, mortality rate and relation to socioeconomic indicators), this study aims at investigating the incidence and mortality of lip and oral cavity cancer and its relationship with the Human Development Index (HDI) of Asia (from 2012). Method: This study was an ecological study in Asia for assessment of the correlation between age-specific incidence rate (ASIR) and age-specific mortality rate (ASMR) with the HDI and its components which include: life expectancy at birth, mean years of schooling and gross national income (GNI) per capita. Data on the standardized incidence ratio (SIR) and the standardized mortality ratio (SMR) for every Asian country for the year 2012 were obtained from the global cancer project and data on the HDI and its components were extracted from the World bank site.  We used a bivariate method for assessment of the correlation between the SIR and SMR with the HDI and its individual components. Statistical significance was assumed if P<0.05. All reported P-values were two-sided. Statistical analyses were performed using SPSS (Version 15.0, SPSS Inc.). Results: A total incidence of 162,506 cases and 95,005 deaths were recorded in Asian countries in 2012. Countries with the highest SIR (per 100,000) were the following: Maldives (11), Sri Lanka (10.3), Pakistan (9.8), Bangladesh (9.4), and India (7.2). The highest SMR was observed in the following countries: Pakistan (5.9), Bangladesh (5.6), Afghanistan (5.1), India (4.9), and Maldives (4.1). The correlation between SIR of lip and oral cavity cancer and HDI was -0.378 (p=0.010), with life expectancy at birth at -0.324 (p=0.028), mean years of schooling at -0.283 (p=0.057), and level of income per each person of the population at -0.279 (p=0.060). Moreover, the correlation was -0.664 (p≤0.001) between SMR and HDI. Conclusion: A significant reverse correlation was seen between the incidence and mortality rate of lip and oral cavity cancer and the HDI in Asia. The incidence and mortality of this type of cancer was high in developing or less developed countries.   

scholarly journals Analysis of the relationship between human development index toward environmental quality index in South Sulawesi

2020 ◽  
Vol 2 (1) ◽  
pp. 109-123
Author(s):  
Andi Setyo Pambudi
Keyword(s):  
Regional Development ◽  
Human Development ◽  
Environmental Quality ◽  
Human Development Index ◽  
Quality Index ◽  
Life Support ◽  
Development Index ◽  
South Sulawesi ◽  
The Impact ◽  
The Relationship

Regional resource development has a dual role in relation to capital as economic growth (resource based economy) and at the same time as a life support system (life support economy). Regional development performance in Indonesia is generally measured based on the Human Development Index (HDI) which focuses on the size of education (knowledge), health (healthy and long life) and people's purchasing power (decent life). The Human Development Index is formed from several indicators that do not yet cover all dimensions of human development as formulated by the United Nations Development Program (UNDP). In the context of sustainable development, the success of regional development is always associated with environmental carrying capacity as measured by the Environmental Quality Index (EQI). The linkages between human and environmental aspects in regional development are interesting to be reviewed in more detail, especially in South Sulawesi Province as a portrait of regional development in Indonesia. The analytical method used is quantitative based on secondary data, both in the form of literature review and correlation analysis of the relationship between HDI and EQI in the same year and the same region as novelty that has never been studied before. The relationship between HDI and EQI will be analized by Bivariate Pearson. The purpose of this study is to look at the impact of policies to encourage the increase in HDI toward IKLH that occurs. The analysis shows that in South Sulawesi the HDI value is not always directly proportional to EQI depending on certain factors.

scholarly journals Regional Development in Advanced Countries: a Within-Country Application of the Human Development Index for Austria

2015 ◽  
Vol 6 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Lukas Schrott ◽  
Martin Gächter ◽  
Engelbert Theurl
Keyword(s):  
Life Expectancy ◽  
Regional Development ◽  
Human Development ◽  
Human Development Index ◽  
Socioeconomic Development ◽  
Empirical Work ◽  
Substantial Part ◽  
Development Index ◽  
Country Level ◽  
Cross Country

Abstract Since its implementation in 1990, the human development index (HDI), the flagship indicator of multidimensional development, has attracted a great deal of attention and critics in academic, political and media circles. It initiated a new stage in the discussion of appropriate indicators to measure socioeconomic development. Until now, the vast majority of empirical work using the HDI concept has taken a cross-country perspective. The main aim of this paper is the application of the HDI at the sub-country level in small, highly developed and socioeconomically homogenous countries. For this undertaking we use a slightly modified version of the HDI, called the regional development index (RDI). For the components of the RDI - life expectancy, education and standard of living - we use recent cross section information for Austria at the level of districts. There exists considerable heterogeneity across districts in the RDI and its components. Our Theil-decomposition reveals that the overwhelming part of the observed heterogeneity is based on differences within provinces (96 percent), although the differences in life expectancy between the provinces explain a substantial part of the overall heterogeneity in this indicator (54 percent).

scholarly journals ANALYSIS INDICATOR OF FACTORS AFFECTING HUMAN DEVELOPMENT INDEX (IPM)

2018 ◽  
Vol 2 (1) ◽  
pp. 11 ◽  
Author(s):  
Windya Wahyu Lestari ◽  
Victoria Efrida Sanar
Keyword(s):  
Life Expectancy ◽  
Human Resources ◽  
Human Development ◽  
Human Development Index ◽  
Estimation Result ◽  
Factors Affecting ◽  
Development Index ◽  
Relationship Of ◽  
The Relationship

The purpose of this study is to determine how big the influence of the indicators of factors that affect the Human Development Index. In addition, to determine the relationship of indicators of factors that affect the Human Development Index, to determine the development of human development of variables. That way can provide a standard against a State in improving the quality of human resources. Using the SPSS application method, this paper found that the variables that significantly influence the indicators of factors affecting the Human Development Index are life expectancy index, education index and income index. The estimation result using Correlasion Pearson shows that 14.788% is the variation of each observation is the same.   Keywords : Human Development Index, Life Expectancy Index, Education Index, Revenue Index.

scholarly journals WILL CREATING NEW REGIONS IMPROVE THE REGIONAL WELFARE EQUALITY?

2009 ◽  
Vol 11 (3) ◽  
pp. 275-286
Author(s):  
Aloysius Gunadi Brata
Keyword(s):  
Human Development ◽  
Policy Implication ◽  
Human Development Index ◽  
Public Services ◽  
Regional Inequality ◽  
Improve Quality ◽  
Local Elites ◽  
Development Index ◽  
The Relationship

This paper presents a preliminary effort to analyze the relationship between the region creation (pemekaran) and the regional inequality. Using the variation in the Human Development Index (HDI) that has been widely accepted as a measure of human development, this paper confirmed that pemekaran or creation of new regions have caused regional inequality becoming more severe.A ‘damaging power’ of pemekaran has also reduced the benefit of decentralization to improve regional equality. Since the analysis shows that pemekaran is not a solution for regional inequality, therefore the policy implication of this finding is that pemekaran should be controlled. A reverse process of pemekaran is amalgamation or consolidation of regions. However this policy is rather difficult to be implemented because it is mainly related to resistance of local elites and furthermore there is no guarantee that the amalgamation will improve quality of public services. Perhaps moratorium of pemekaran as a moderate choice could be an acceptable policy.JEL Classification: H75, R11, R58Keywords: region creation, human development index, inequality.

scholarly journals Examining the Relationship Between Human Development Index and Socio-Economic Variables: A Panel Data Analysis

2018 ◽  
Vol 3 (2) ◽  
pp. 37
Author(s):  
Siti Ayu Jalil ◽  
Mohamad Nadzrul Kamaruddin
Keyword(s):  
Data Analysis ◽  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Health Expenditure ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Development Index ◽  
Socio Economic Variables ◽  
Years Of Schooling

Human Development Index (HDI) measures the average achievements from three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. This study is to investigate the impact of socio-economic variables represented by the three dimensions i.e. mean years of schooling, expected years of schooling, gross domestic product, life expectancy and health expenditure on HDI in fifteen selected developing countries within a 5-year period (2010-2014). The panel data analysis tested the pooled regression model, fixed effects and random effects models. The findings indicated that the Panel Fixed Effects Model (FEM) has proven to be the best model to describe the study. From the FEM model, four predictors have shown significant positive effect on human development index which are, the mean years of schooling, expected years of schooling, life expectancy and GDP per capita whereas, health expenditure is the only variable that shows insignificant relationship. Hence, it can be stated that in these fifteen selected nations despite education and higher GDP are essential to achieve a higher level of HDI, life expectancy is also perceived as a vital indicator to imply a better level of HDI.

scholarly journals A Research on the Relationship between Environmental Sustainability Management and Human Development

2020 ◽  
Vol 12 (21) ◽  
pp. 9001
Author(s):  
Sue Ling Lai ◽  
Du-Nin Chen
Keyword(s):  
Life Expectancy ◽  
Environmental Health ◽  
Human Development ◽  
Environmental Performance ◽  
Human Development Index ◽  
Explanatory Power ◽  
Life Expectancy At Birth ◽  
Composite Indices ◽  
The Relationship ◽  
Years Of Schooling

The study explores the relationship between environmental performance and human development. A canonical correlation analysis was conducted to discover the maximum correlation between environmental performance and human development with the optimal estimated weights for indicators as constituting the composite indices. The results show that environmental health—being the most decisive—and ecosystem vitality are important indicators for representing the environmental performance. Other important indicators, in declining order, for constituting the human development index are mean years of schooling, expected years of schooling, and life expectancy at birth, with gross national income (GNI) being the last with relatively low weight. The canonical environmental performance index has utmost effect on mean years of schooling, then expected years of schooling, with explanatory power of more than 70% for both. Effect on life expectancy at birth is more than 60%, but only less than 30% on GNI. The canonical human development index has the highest explanatory power with nearly 80% for environmental health, but only 40% for ecosystem vitality. Both canonical composite indices reach a high correlation of 91% and the mutual explanatory power is 83%, confirming that environmental performance and human development are indeed positively and highly correlated.

scholarly journals Multiple Dimensions of Human Development Index and Public Social Spending for Sustainable Development

2019 ◽  
Vol 19 (204) ◽  
Author(s):  
Iana Paliova ◽  
Robert McNown ◽  
Grant Nülle
Keyword(s):  
Sustainable Development ◽  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Well Being ◽  
Social Spending ◽  
Development Index ◽  
Educational Spending ◽  
Per Capita ◽  
Years Of Schooling

Multidimensional assessment of human development is increasingly recognized as playing an important role in assessing well-being. The focus of analysis is on the indicators measuring the three dimensions of Human Development Index (HDI) — standard of living, education and health, and their relationship with public social spending for achieving the 2030 Agenda for Sustainable Development. The study estimates the effects of public social spending on gross national income (GNI) per capita (in PPP in $), expected years of schooling and life expectancy for a sample of 68 countries. The relationship is robust to controlling for a variety of factors and the estimated magnitudes suggest a positive long-run effect of public educational spending on GNI per capita, public educational spending on expected years of schooling, and public health expenditures on life expectancy.

What Does Human Development Index Rating Mean in Terms of Individualism/Collectivism?

2003 ◽  
Vol 8 (2) ◽  
pp. 97-100 ◽  
Author(s):  
Maria José Sotelo ◽  
Luis Gimeno
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Principal Component ◽  
General Idea ◽  
Development Index ◽  
Low Levels ◽  
The Relationship

The authors explore an alternative way of analyzing the relationship between human development and individualism. The method is based on the first principal component of Hofstede's individualism index in the Human Development Index rating domain. Results suggest that the general idea that greater wealth brings more individualism is only true for countries with high levels of development, while for middle or low levels of development the inverse is true.

The Relationship between Human Development and Economic Growth

2018 ◽  
Author(s):  
Frances Stewart ◽  
Gustav Ranis ◽  
Emma Samman
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Econometric Analysis ◽  
Complementary Relationship ◽  
Development Index ◽  
The Relationship ◽  
Intervening Variables

This chapter explores the interactions between economic growth and human development, as measured by the Human Development Index, theoretically and empirically. Drawing on many studies it explores the links in two chains, from economic growth to human development, and from human development to growth. Econometric analysis establishes strong links between economic growth and human development, and intervening variables influencing the strength of the chains. Because of the complementary relationship, putting emphasis on economic growth alone is not a long-term viable strategy, as growth is likely to be impeded by failure on human development. The chapter classifies country performance in four ways: virtuous cycles where both growth and human development are successful; vicious cycles where both are weak; and lopsided ones where the economy is strong but human development is weak, or conversely ones where human development is strong but the economy is weak.

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