scholarly journals ANALISIS KETIMPANGAN PEMBANGUNAN DAN DISTRIBUSI PENDAPATAN WILAYAH DI PROVINSI ACEH

2019 ◽  
Vol 6 (1) ◽  
pp. 17-32
Author(s):  
Muhammad Reza ◽  
Abd. Jamal ◽  
T. Zulham
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
East Central ◽  
Development Index ◽  
North East ◽  
The North ◽  
Income Disparities ◽  
East Region ◽  
Basic Services ◽  
The Lorenz Curve

Abstract The aims of this research are to understand the development disparities, income distribution, human development, and the geographical difficulties in North-East, Center-South East, and West-South of Aceh Regions. The methods of analysis used are Williamson Index, Lorentz Curve, Gini Coefficient, Human Development Index (IPM), and Geographical Difficulties Index (IKG). The results show that based on Williamson Index, the developments in the North-East, Center-South East Regions of Aceh are still low. Based on the Lorenz Curve, West-South Region is far from equality line, it is followed by Center-South East and North-East Regions. Thus, it can be stated that West-South and Center-South East Regions experience relatively greater income disparities compared to North-East Region. Based on Human Development Index Calculation, West-South of Aceh is the region that has lowest Human Development Index, then it followed by Center-South East and North-East Regions of Aceh. Based on Geographical Difficulties Index, West-South Region of Aceh has the highest Geographical Difficulties Index compared to Center-South East and North-East Regions of Aceh viewed from the existence of basic services, infrastructure condition, and transportation.The government must strive to reduce development disparities in the North-East, Central-Southeast and West-South regions of Aceh so that there will be no provincial division and conflict between regions.

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  

scholarly journals PENGARUH NILAI TUKAR PETANI SUB SEKTOR TANAMAN PANGAN DAN NILAI TUKAR PETANI SUB SEKTOR PERIKANAN TERHADAP INDEK PEMBANGUNAN MANUSIA DI KABUPATEN ACEH UTARA

2020 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Devi Andriyani ◽  
Eka Mulia
Keyword(s):  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Food Crop ◽  
Analysis Model ◽  
Development Index ◽  
The North

This study aims to analyze the Effect of Exchange Rate of Farmers in the Food Crop Sub Sector and the Farmers' Exchange Rate of Fisheries in the Human Development Index in North Aceh Regency. The data used in this study are secondary data from 2009-2017. The analysis model of this study uses multiple linear regression. The results of the research partially affect the food crop sector in the Human Development Index in the North Aceh Regency government, the fisheries sector influences the Human Development Index in the North Aceh Regency government. Simultaneously the food crop sector and the fisheries sector influence the Human Development Index in the North Aceh Regency government

scholarly journals In the Pursuit of Conceptualizing a Sustainable Human Development Index in a Globalized World: An Analysis of the Evidence from Assam and Meghalaya

2020 ◽  
Vol 8 (3) ◽  
Author(s):  
Ayan Rudra
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Policy Implications ◽  
World Health ◽  
Multiple Sources ◽  
Development Index ◽  
North East ◽  
Sustainable Human Development ◽  
Globalized World

There is worldwide consensus today that problems relating to the environment have reached immense proportions and that immediate drastic steps should be taken by nations and the authorized global community to arrest the decline of our environment. The World Health Organization estimates that roughly 25 percent of the disease burden in the developing world is due to environmental factors. For this paper Environmental Human Development Index (EHDI) has been measured, which is a modified version of Human Development Index (HDI) in the pursuit of Conceptualizing a Sustainable Human Development Index in a Globalized World by Evidence from Assam and Meghalaya. This study is based on secondary data obtained from multiple sources. These are like- Census 2011, Central Pollution Control Board, India stat, World Bank, etc. The paper concludes with policy implications for the topic at hand. This study tries to search for development situation regarding the environmental condition of two sister states of North East India. After including the ecological parameters and household status, the shape of the development index is changing. Both states are increasing the development index value. But here Meghalaya increased its development value more than the state Assam. This study portrays with increasing environmental pollutants of particular state morbidity, especially cardiac diseases are growing.

scholarly journals Analysis of Effects of Economic Growth, Human Development Index, Population, Unemployment and Investment on Poverty Levels in the North Sumatra Province

2021 ◽  
Vol 8 (12) ◽  
pp. 663-685
Author(s):  
Marisa Br Sinuraya ◽  
Raina Linda Sari ◽  
Irsad Lubis
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Human Development Index ◽  
Short Term ◽  
Development Index ◽  
The North ◽  
North Sumatra ◽  
Poverty Levels ◽  
Positive Effect

The research aims to examine and analyze effects of economic growth, human development index (HDI), population, unemployment, and investment on poverty levels in the North Sumatra Province. The research uses quantitative data type, while the data source is obtained from secondary data in the quarterly form of 2010-2019. The data are analyzed with the model of Autoregressive Distributed Lag (ARDL) analysis. The results of ARDL analysis of economic growth variables and HDI have negative and significant effects on poverty levels in the short term and long term. Unemployment variable has a significant positive effect on poverty levels in the short term however insignificant in the long term and investment variable has an insignificant positive effect on the poverty level in the short and long term. Keywords: Economic Growth, HDI, Population, Unemployment, Investment, Poverty.

scholarly journals Spatial dynamics of the COVID-19 pandemic in Brazil

2021 ◽  
Vol 149 ◽  
Author(s):  
R. R. Castro ◽  
R. S. C. Santos ◽  
G. J. B. Sousa ◽  
Y. T. Pinheiro ◽  
R. R. I. M. Martins ◽  
...  
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Mortality Rates ◽  
Weighted Regression ◽  
Socioeconomic Indicators ◽  
Social Vulnerability Index ◽  
Development Index ◽  
The North ◽  
Incidence And Mortality ◽  
Geographic Weighted Regression

Abstract The objective of this study was to analyse the dynamics of spatial dispersion of the coronavirus disease 2019 (COVID-19) in Brazil by correlating them to socioeconomic indicators. This is an ecological study of COVID-19 cases and deaths between 26 February and 31 July 2020. All Brazilian counties were used as units of analysis. The incidence, mortality, Bayesian incidence and mortality rates, global and local Moran indices were calculated. A geographic weighted regression analysis was conducted to assess the relationship between incidence and mortality due to COVID-19 and socioeconomic indicators (independent variables). There were confirmed 2 662 485 cases of COVID-19 reported in Brazil from February to July 2020 with higher rates of incidence in the north and northeast. The Moran global index of incidence rate (0.50, P = 0.01) and mortality (0.45 with P = 0.01) indicate a positive spatial autocorrelation with high standards in the north, northeast and in the largest urban centres between cities in the southeast region. In the same period, there were 92 475 deaths from COVID-19, with higher mortality rates in the northern states of Brazil, mainly Amazonas, Pará and Amapá. The results show that there is a geospatial correlation of COVID-19 in large urban centres and regions with the lowest human development index in the country. In the geographic weighted regression, it was possible to identify that the percentage of people living in residences with density higher than 2 per dormitory, the municipality human development index (MHDI) and the social vulnerability index were the indicators that most contributed to explaining incidence, social development index and the municipality human development index contributed the most to the mortality model. We hope that the findings will contribute to reorienting public health responses to combat COVID-19 in Brazil, the new epicentre of the disease in South America, as well as in other countries that have similar epidemiological and health characteristics to those in Brazil.

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.

Capaian pembangunan manusia: analisis komparatif Provinsi Banten, Jawa Barat dan DKI Jakarta

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Adriwati Adriwati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Human Population ◽  
Provincial Government ◽  
Healthy Life ◽  
Development Index ◽  
Long Life ◽  
The Difference ◽  
The Government ◽  
Development Paradigm

Human development is a development paradigm that puts human (population) as the focus and final target of all development activities, namely the achievement of control over resources (income to achieve decent living), improvement of health status (long life and healthy life) and improve education. To see the success rate of human development, UNDP publishes an indicator of Human Development Index (HDI). This study discusses the achievements of human development that have been pursued by the government. The problem analyzed in this research is the difference of human development achievement in some provincial government in Indonesia. This paper aims to compare the achievements of human development in some provincial governments seen from the achievement of human development index of each province. Research location in Banten Province, West Java and DKI Jakarta.Keywords:Human Development Index, Human Development Achievement

The comparison of MCDM Methods including AHP, TOPSIS and MAUT with an Application on Gender Inequality Index

2016 ◽  
Vol 4 (2) ◽  
pp. 183 ◽  
Author(s):  
Latife Sinem Sarul ◽  
Özge Eren
Keyword(s):  
European Union ◽  
Human Development ◽  
Gender Inequality ◽  
Human Development Index ◽  
The European Union ◽  
Inequality Index ◽  
Development Index ◽  
Important Barrier ◽  
Alternative Ranking

Gender Inequality Index is a major indicator presenting level of development of the countries as Human Development Index, which is calculated regularly every year by UN. In this study, an alternative calculation has been proposed for measuring gender inequality index which is an important barrier for the human development. Each indicator in the index integrated as MAUT- AHP and also AHP-TOPSIS and these methods carried out again for the alternative ranking member and candidate countries of the European Union. The main objective here is to represent that the indicators form gender inequality index can be reclassified with different weights for each indicator.

Asymmetric Policy of Border Area Development in Indonesia

2019 ◽  
Vol 118 (2) ◽  
pp. 81-85
Author(s):  
Rusdiyanta ◽  
M.Si¹ DanBambangPujiyono ◽  
MM ◽  
M.Si2
Keyword(s):  
Human Development ◽  
Social Services ◽  
Human Development Index ◽  
Development Policy ◽  
Innovative Development ◽  
Autonomous Region ◽  
Development Index ◽  
Left Behind ◽  
Border Areas ◽  
Area Development

The condition of the border areas in Indonesia is largely isolated, lagging, poor, and backward so as to require an affirmafive and innovative development policy. This study discusses the asymmetrical policy of Jokowi-JK government in the development of border areas in Indonesia. Most of the border areas are Underdeveloped Regions, so a symmetrical or special policy is required so that the development of border areas is not left behind with other regions or other countries. The implementation of the policy was carried out with the development of infrastructure and basic social services for the community as well as financial distribution, implementation of specific policies and arranging the formation of New Autonomous Region (DOB) in welfare-oriented border areas. This asymmetric policy encourages accelerated development in border areas so as to improve the human development index.

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