scholarly journals Pemodelan Spatial Error Model (SEM) Untuk Mengidentifikasi Indeks Pembangunan Manusia di Provinsi Maluku Tahun 2016

2018 ◽  
Vol 8 (1) ◽  
pp. 75
Author(s):  
Fauzan Samallo ◽  
Yopi Andry Lesnussa ◽  
Abraham Z. Wattimena ◽  
Muhammad Yahya Matdoan
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Error Model ◽  
Parameter Estimates ◽  
Adjacent Area ◽  
Spatial Error Model ◽  
Spatial Error ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
School Duration

Human Development Index (HDI) is a quality measure that can be used to determine the quality of human development that has been achieved. HDI is a composite index that composed of 3 components, such as: Length of life measured by life expectancy at birth, Education measured by average school duration and expectations school duration and standard of living measured by Purchasing Power Parity (PPP) in rupiah. The model used in this research is Spatial Error Model (SEM) to identify Influence of Variables X on IPM value and pattern of HDI distribution in a region with Ordinary Linear Square (OLS) parameter estimates. From the map thematic data that obtained, it can be seen that the pattern of the spread of Human Development Index (HDI) in Maluku Province has no effect on the distance of a region. There is a correlation between the components of HDI compilers to the HDI value in Maluku Province, because there is a spatial dependency on the dependent variable. Lambda value coefficient which is negative and significant at ? = 10% indicates that there is no correlation of HDI value in a region with other adjacent area. Also indicated by spatial residuals in adjacent areas do not have the same characteristics.

scholarly journals Modeling Spatial Error Model (SEM) On Human Development Index (IPM) In Central Java 2018

2020 ◽  
Vol 1 (2) ◽  
pp. 48
Author(s):  
Aprilia Dwi Anggara Wati ◽  
Laelatul Khikmah
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Spatial Regression ◽  
School Enrollment ◽  
Error Model ◽  
Spatial Error Model ◽  
Spatial Error ◽  
Development Index ◽  
Central Java ◽  
Life Expectancy At Birth

The Human Development Index (HDI) is a human development index that is used to achieve the development outcomes of a region. HDI is formed by 3 basic dimensions, namely the health dimension as seen from the indicator of life expectancy at birth, the dimension of knowledge seen from a combination of indicators of average length of schooling and expectation of school years and dimensions of decent living standards as seen from the indicator of average per capita expenditure has been adjusted. The development of HDI in Central Java shows an increase every year. In 2018 the HDI figure for Central Java Province reached 71.12% and increased by 0.6% from the previous year. This is because the large HDI figures in an area are influenced by the large HDI numbers in adjacent areas. The location / area factor is thought to have a spatial dependence effect on the HDI figure. This problem can be overcome by using spatial regression by including the relationship between regions into the model. The spatial regression approach used in this study is the Spatial Error Model (SEM). The weighting matrix used in this study is Queen Contiguity (intersection between sides and corners). This study provides results that the variables that significantly influence HDI are poverty and school enrollment rates.

scholarly journals An Evaluation of Human Development Index in Central Asian Countries

2011 ◽  
Author(s):  
Volkan Öngel ◽  
İlyas Sözen ◽  
Ahmet Alkan Çelik
Keyword(s):  
Economic Development ◽  
Human Development ◽  
Gender Discrimination ◽  
Human Development Index ◽  
Asian Countries ◽  
Political Preference ◽  
Equal Distribution ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
Economic Development And Growth

Economic development and growth had been the most important target among all goverments throughout the history. In this respect, Kazakhstan, Turkmenistan, Uzbekistan, Tajikistan and Kyrgyzstan in Middle Asian Region had chosen development as primary target in 20 years time after their independence. Human capital is the leading factor to maintain economic development and growth. Development and growth terms over which different meanings and concepts were imposed in time, necessitated several political economic alterations. Before 1970’s, increase in income had been sufficient criterion for the development of a government. But nowadays economic development incorporates factors such as life expectancy at birth, school enrolment ratio, literancy rate, gender discrimination, poverty alleviation, equal distribution of income beyond economic growth. Herewith this change political preference and priorities has started to differentiate. The aim of this study is to discuss human development index (HDI) data of 5 Middle Asian countries in 2010 and changes in HDI in years after their independence. Comparisan between Gross Domestic Product (GDP) and HDI rates are also performed within this analysis. This study consists of data of 5 Middle Asian countries between years 1990-2010. Basic, retrospective, illustrative library method is used as the study method. In conclusion, we find that increase in GDP did not reflect over HDI in Middle Asian Countries within 20-years period.

scholarly journals Disparities in incidence and mortality of pancreatic cancer in the world

2018 ◽  
Vol 5 (02) ◽  
pp. 1986-1999
Author(s):  
Yousef Khani ◽  
Masoumeh Arabsalmani ◽  
Reza Pakzad ◽  
Mahshid Ghoncheh ◽  
Abdollah Mohammadian-Hafshejani ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Human Development ◽  
Human Development Index ◽  
Significant Positive Correlation ◽  
Men And Women ◽  
Development Index ◽  
Positive Correlation ◽  
Life Expectancy At Birth ◽  
Incidence And Mortality ◽  
The World

Background: Pancreatic cancer (PC) is as the twelfth most frequent cancer and the seventh most important cause of mortality by reason of cancer in the world. Being informed about the incidence and mortality of this cancer and the potential role of development is useful in health policy. The aim of this research is investigating disparities in the incidence and mortality of PC in the world countries in the year 2012. Methods: This study was an ecologic study in the World for assessing the correlation between Human Development Index (HDI) and its details (Gross national income (GNI) per capita, average years of schooling and life expectancy at birth) with age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of PC. Results: In total, 337872 new cases of PC occurred in 2012 around the world , that 178116 and 159711 cases take happen in men and women respectively, also at the same year 330391 deaths of PC occurred ,that 173,827 and 156564 cases were in men and women. In assessment the relationship between HDI and ASIR and ASMR of PC there is significant positive correlation equal to 0.767 (p <0.001) between HDI and ASIR of PC, and a significant positive correlation equal to 0.776 (p <0.001) between HDI and ASMR of PC. Conclusion: The incidence and mortality of PC has a significant positive correlation with the Human Development Index.  

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.

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 Analisis Dimensi Pembentuk Indeks Pembangunan Manusia (IPM) Provinsi Jambi 2010-2019

2020 ◽  
Vol 4 (2) ◽  
pp. 389
Author(s):  
Jasasila Jasasila
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Average Length ◽  
Health Sector ◽  
Numerical Data ◽  
Living Standard ◽  
Human Capabilities ◽  
Human Welfare ◽  
Development Index ◽  
Life Expectancy At Birth

Human development is a process and an outcome that is the process of enlarging people's choices but also becoming a goal. Human development implies that people must influence the processes that shape their lives. Human development is the development of society through the building of human capabilities, by society through active participation in the processes that shape life and society by improving their lives. It is broader than other approaches, such as the human resources approach, the basic needs approach and the human welfare approach. The problem of this research is how the development of the Human Development Index in Jambi Province in 2010-2019, the second problem is how to analyze the dimensions that form the Human Development Index in Jambi Province in 2010-2019, while the purpose of this study is, To determine the Development of the Human Development Index in the Province Jambi in 2010-2019 and to analyze the dimensions forming the human development index of Jambi Province in 2010-2019. The type of research that the writer uses in this thesis is the type of qualitative analysis and quantitative analysis. The data that is sought in this study is in the form of numerical data which includes data on life expectancy at birth, expectations of length of schooling and average length of schooling which are obtained from the official website of the BPS (Central Statistics Agency) Jambi Province. The results of this study indicate that during the period 2010 to 2019 the HDI of Jambi Province showed great progress. In 2019, the HDI of Jambi Province has reached 71 points, which means that it has increased from the “Medium” to “High” level compared to 2017. During the 2010-2019 period, the HDI of Jambi Province in the Health Sector has always shown an increase, the highest development was in 2019 of 0.23% and the lowest development was in 2017 at 0.07%. During 2010-2019 the HDI of Jambi Province in the Education Sector has always shown an increase, the highest increase in the indicator of long school expectancy (HLS) was in 2013 at 3.75 % and the lowest development was in 2019 at 0.23% and the highest development in the average length of school (RLS) indicator was in 2012 at 2.80% and the lowest development was in 2015 at 0.50%. During 2010-2019, the HDI of Jambi Province in the Decent Living Standard Sector has always shown an increase, the highest development was in 2018 at 4.82% and the lowest development was in 2013 at 0.80%.

scholarly journals Comparative Study on Human Development Index (HDI): Indonesia and Bangladesh Context

2013 ◽  
Vol 3 (2) ◽  
Author(s):  
Soni Ahmad Nulhaqim ◽  
M D Kamrujjaman
Keyword(s):  
Comparative Study ◽  
Human Development ◽  
Human Development Index ◽  
Three Dimensions ◽  
Series Data ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
Development Indicator ◽  
Clear Idea ◽  
Years Of Schooling

The Human Development Index (HDI) is a development indicator since 1990, operated by theUnited Nations Development Programme. Our entitled “Comparative Study on HumanDevelopment Index (HDI): Indonesia and Bangladesh Context” paper will focus oncomparison of both countries situation. In common scenes Indonesia is in advance thanBangladesh but what is the real situation are exist in both countries will be explained by ourstudy. Here we will compare series data (1980-2011) & its trends, value comparison (2011-2012), of two countries. In this paper we have analysis following segments of two countriesnamed Inequality-adjusted HDI(IHDI), Gender Inequality Index (GII), Multidimensional PovertyIndex (MPI) and Cross-Analysis of Indonesia & Bangladesh related to others relevant data like:Demographic Situation, Education Condition, Health Situation, Gender Observation etc. In ourpaper we have used New method for 2011 data onwards that Published on 4 November 2010(and updated on 10 June 2011), starting with the 2011 Human Development Report the HDIcombines three dimensions: A long and healthy life: Life expectancy at birth, Education index:Mean years of schooling and Expected years of schooling, A decent standard of living: GNI percapita (PPP US$). Hopefully this paper will give us a clear idea about two countries currentsocio-economic condition as well.

scholarly journals Improving Human Development Index (HDI) by Illiteracy Eradication (Case Study in Cibadak Village)

2019 ◽  
Vol 11 (1) ◽  
pp. 29-42
Author(s):  
Indri Arrafi Juliannisa ◽  
Tri Siswantini
Keyword(s):  
Local Government ◽  
Human Development ◽  
Purchasing Power Parity ◽  
Human Development Index ◽  
Development Program ◽  
Three Dimensions ◽  
Power Parity ◽  
United Nations Development Program ◽  
Development Index ◽  
Life Expectancy At Birth

To measure the quality of human capital, The United Nations Development Program (UNDP) introduced the concept of human resource capital quality, named the Human Development Index (HDI). HDI is based on three dimensions i.e.: life expectancy at birth, literacy rate, mean years of schooling, and purchasing power parity. In this study raised the issue of the high illiteracy rate in Cibadak, Banten Province and the low expectation for old school. The situation will certainly be a barrier to the development process and economic growth through the human development index. The results showed that factors that could cause low educational status and illiteracy were grouped by researchers in research indicator variables, namely education, family, external environment, and information factors. The local government must pay more attention to this situation, because human resources are the driving wheel of the economy. The people really need care like reading and writing training assistance from the local government.

scholarly journals Estimates of global HIV/AIDS mortality, prevalence and incidence rates, and their association with the Human Development Index

2017 ◽  
Vol 4 (06) ◽  
pp. 1399
Author(s):  
Kamyar Mansori ◽  
Erfan Ayubi ◽  
Fatemeh Khosravi Shadmani ◽  
Shiva Mansouri Hanis ◽  
Somayeh Khazaei ◽  
...  
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Developed Countries ◽  
Incidence Rates ◽  
Global Public Health ◽  
Development Index ◽  
Life Expectancy At Birth ◽  
Global Age ◽  
Hiv Aids ◽  
Years Of Schooling

Background: HIV/AIDS is one of greatest global public health concerns today due to the high incidence, prevalence and mortality rates. The aim of this research was investigate and estimate the global HIV/AIDS mortality, prevalence and incidence rates, and explore their associations with the Human Development Index. Methods: The global age-standardized rates of mortality, prevalence and incidence of HIV/AIDS were obtained from the UNAIDS for different countries in 2015. The human development indexes (HDIs) were obtained from the World Bank database. The surveyed countries were divided into four groups according to the HDI distribution. The Spearman correlation coefficient and one-way ANOVA test were used for assessing the association of HIV/ AIDS indicators and HDI. Results: The highest rates of HIV/AIDS prevalence and incidence, and associated mortality in East and Southern Africa countries were 51.73%, 46.33% and 42.3%, respectively. Moreover, the highest and lowest global age-standardized rates of incidence and prevalence of HIV/AIDS was seen in adults ranging from 15-49 years of age for both low and high HDI countries. The prevalence and incidence rates of HIV/AIDS each had an inverse correlation with HDI and its four indicators (life expectancy at birth, mean years of schooling, expected years of schooling, and GNI per capita). Conclusion: Less developed countries with lower HDI show greater severity of the AIDS epidemic. Thus, it is essential to pay more attention to HIV/AIDS control and prevention programs in these countries. 

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