scholarly journals Factors Identification for Human Development Index

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Anam Javaid ◽  
Atif Akbar

Human development index matters a lot for the economic condition of a country. It can be calculated with the help of the education index, health index, and GDP. So, by looking only at the value of the human development index (HDI), the economy of the country can be judged. The contribution of this research project is the identification of factors related to human development. The factors include the availability of the basic necessities, facilities related to education, health, and income. For this purpose, different important factors have been observed for the Multan district by taking MICS (2007-2008) survey data. Logistic regression is applied for the purpose of analysis. Significant factors are noted in each regression analysis based on the dependent factor.

2019 ◽  
Vol 2 (2) ◽  
pp. 77-89
Author(s):  
Saparuddin Mukhtar ◽  
Ari Saptono ◽  
As’ad Samsul Arifin

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


2018 ◽  
Vol 8 (2) ◽  
pp. 1-9
Author(s):  
Arif Tristanto ◽  
Herman Cahyo Diartho

The success of a development is not only seen from the level of economic growth but also from the level of community welfare as well as a benchmark for the success of the development of a region. The Human Development Index covers three indices, namely the education index, health index, and purchasing power index. In this study one of the indicators in improving the human development index is the health index. Judging from the growth rate of the Situbondo District human development index (HDI), the health index growth during 2012-2016 remained at 0.74 and the growth of the human development index (HDI) in Situbondo was still below the growth of the human development index (HDI) in East Java Province. The formulation of the problem taken in this study is how to synthesize strategies in improving the Human Development Index (HDI) in the health sector in Situbondo District. The analytical method used uses analytical hierarchy process. The results of the analysis analysis obtained the strategy used in improving the human development index in Situbondo District in the health sector, namely health services became a priority in improving the human development index in the health sector in Situbondo District by 0.136, and both health budgets by 0.059, and the three health sector institutions by 0.018.


Author(s):  
Anam Javaid ◽  
Atif Akbar ◽  
Shahbaz Nawaz

Human development index is considered as very important for economy as by looking on it, development level of any country can be seen. It is based on education Index, health index and on GDP so for the purpose of analyzing the developing level of a country in different years, it is important to consider its HDI. In literature, Different authors have worked on HDI. The current paper summarizes the work by different authors so from this review paper the work that had been done on HDI can be seen.


2020 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Paulos C Tsegaw

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.


2021 ◽  
Vol 31 (9) ◽  
pp. 2195
Author(s):  
Petrus Kakadir ◽  
I Gusti Ngurah Agung Suaryana ◽  
I Gusti Ayu Made Asri Dwija Putri ◽  
Ni Gusti Putu Wirawati

This study aims to determine the effect of routine and capital expenditure allocations on the human development index in the regency/municipality of Papua province. This study covers 29 districts/cities in the province of Papua using an associative quantitative approach. The analysis technique used is multiple linear regression analysis technique. The results of the analysis show that routine expenditures have a positive and significant effect on the human development index, while capital expenditures have a negative and non-significant effect on the human development index. The failure of capital expenditures to affect the human development index occurred, in addition to the low amount of capital expenditure allocated in an effort to improve people's welfare, also due to the allocation of capital expenditures that had not been carried out on target. Keywords: Routine Shopping; Capital Expenditures; Human Development Index.


2019 ◽  
Vol 2 (1) ◽  
pp. 21
Author(s):  
Akbar Maulana ◽  
Renny Meilawati ◽  
Vita Widiastuti

<p>The Human Development Index (HDI) is a parameter of quality of life for an area. The HDI explains how residents can access the results of development in obtaining income, health and education. One method that can be used to find out the factors that influence the human development index in modeling is regression analysis of ordinary least square (OLS). In the Human Development Index data, there is a dependency between measuring data and the location of a region. Therefore, spatial regression analysis can be used in this study. The local form of spatial regression analysis is <em>geographically weighted regression</em> (GWR). GWR shows the existence of spatial heterogeneity (location). This study compares between OLS regression and GWR in the new human development index method by province in 2015. In the GWR model we use fixed Gaussian kernel and kernel fixed bisquare as weighted function. The optimal bandwidth value is obtained by minimizing the cross validation (CV) and Akaike information criterion (AIC) coefficients. The results showed that the GWR model with Gaussian kernel function is better than GWR with bisquare kernel function and OLS model.</p><p><strong>Keywords</strong><strong>: </strong>human development index, ordinary least square,<strong> </strong>geographically weighted regression, kernel fixed Gaussian,  kernel fixed bisquare</p>


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