PEMODELAN DETERMINASI INDEKS PEMBANGUNAN MANUSIA DENGAN METODE MWD (MACKINNON, WHITE AND DAVIDSON) TEST

2021 ◽  
Vol 8 (2) ◽  
pp. 142
Author(s):  
Apriani Simatupang ◽  
Jakaria Jakaria
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Government Spending ◽  
Human Development Index ◽  
Test Method ◽  
Linear Regression Equation ◽  
Development Index ◽  
Income Per Capita ◽  
Per Capita

Abstrak Tujuan paper ini ingin menunjukkan pemodelan determinasi indeks pembangunan manusia dengan menggunakan MWD test. Pada penelitian ini menggunakan komponen tingkat pengangguran, pendapatan per kapita dan pengeluaran pemerintah. Dalam penelitian ini menggunakan metode MWD atau uji Mackinnon, White and Davidson (MWD) untuk menentukan pemodelan determinasi indeks pembangunan manusia. Hasil penelitian ini menunjukkan bahwa pendapata per kapita mempengaruhi indeks pembangunan manusia secara signifikan. Hal ini ditunjukkan hasil dari estimasi output persamaan regresi linier yang sudah dibersihkan dari masalah autokorelasi dan heteroskedastisitas bahwa probabilitas pendapatan perkapita < 0,05. Tingkat pengangguran dan pengeluaran pemerintah tidak memiliki pengaruh yang signifikan terhadap indeks pembangunan manusia. Pemodelan terbaik yang digunakan dari metode MWD (Mackinnin, White and Davidson) test adalah model linier. Kata Kunci: ipm, pendapatan per kapita, MWD test.  Abstract The purpose of this paper is to show the modeling of the determination of the human development index using the MWD test. This study uses the components of the unemployment rate, per capita income and government. In this study using the MWD method or the Mackinnon, White and Davidson (MWD) test to determine the modeling of the determination of the human development index. The results of this study indicate that income per capita affects the human development index significantly. This is indicated by the results of the estimated output of the linear regression equation that has been cleaned of autocorrelation and heteroscedasticity problems that the probability of income per capita is < 0.05. The unemployment rate and government spending do not have a significant effect on the human development index. The best modeling used from the MWD (Mackinnin, White and Davidson) test method is a linear model. Keywords: HDI, income per capita, MWD test.

scholarly journals Government Spending, Gross Domestic Product, Human Development Index (Evidence from East Java Province)

2020 ◽  
Author(s):  
Farida Rahmawati ◽  
Meirna Nur Intan
Keyword(s):  
Local Government ◽  
Gross Domestic Product ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Capita Income ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
Development Index ◽  
Per Capita

Government spending is expected to improve the Human Development Index (HDI) in order to increase public welfare. Theoretically, if the number of government expenditure is increasing then the Human Development Index (HDI) will be higher as well. Based on earlier research, it was found few differences about the result of influence Government spending to Human Index. The purpose of the study was to analyze the influence of government spending and Gross Domestic Product to the Human Development Index of East Java Province (during 2014-2017). The research method using descriptive quantitative approach. Local government expenditures were analyzed by direct local government spending by looking at three aspects namely employees expenditure, spending on goods and services, and capital expenditures. Whereas, for the GDP per capita income is analyzed based on three aspects: production, income, and expenditure. Then the human development index to see the effects of these two variables based on three dimensions that exist in the human development index healthiness dimensions, dimensions of knowledge, and economic dimensions. The results showed that the local government spending income and the GDP per capita income has a significant effect on the human development index. Government spending has a significant influence on the educational dimension, while GDP per capita has a significant effect on the purchasing power of people thus affecting the economic dimension. Keywords: Government spending, Gross Domestic Product, Human Development Index

scholarly journals Government Spending Contributions on per Capita Income and its Effect toward the Human Development Index (Comparative Study between Western Indonesia and Central & East Indonesia)

2015 ◽  
Vol 6 (3) ◽  
pp. 43-49
Author(s):  
Eleonora Sofilda ◽  
Muhammad Zilal Hamzah .
Keyword(s):  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Capita Income ◽  
Income Growth ◽  
Per Capita Income ◽  
Development Index ◽  
Goods And Services ◽  
Per Capita ◽  
Capita Income Growth

In many countries, include Indonesia, a centralized government has a sizeable negative impact on inequality of development. During the New Regime Order era with a centralized system, Indonesia's development is concentrated in the western part of Indonesia which had led to inequality in terms of per capita income and human development. To solve these problems, one of the economic reforms undertaken by the Indonesia government is changes the system from a centralized to a decentralized system. Through the fiscal decentralization under Law No. 22/99 and 25/99, they hope to improve people's welfare and reduce inequality. This research is aim to assess the effect of government spending and investment on the growth of per capita income and see the effect of the growth of per capita income towards Human Development Index (HDI). The method used is multiple regression with panel data and the study from year 2007-2012 by dividing the two groups of regions ie: western Indonesia and central&eastern Indonesia. Based on the research results, for the western Indonesia, goods and services expenditure has a significant effect on the per capita income growth and per capita income growth significantly affect the human development index (HDI). For the central and eastern Indonesia, domestic and foreign direct investment (DDI and FDI), goods and services expenditure, and capital expenditures have a significant effect toward per capita income growth and per capita income growth effect significantly toward the HDI.

Applicability of Human Development Index for Measuring Economic Well-being: A Study on GDP and HDI Indicators from Indian Context

2021 ◽  
pp. 001946622199862
Author(s):  
G G Sajith ◽  
K. Malathi
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Well Being ◽  
Development Project ◽  
Human Being ◽  
Composite Matrix ◽  
Human Welfare ◽  
Development Index ◽  
Development Indicator ◽  
Per Capita

The tracking of gross domestic product (GDP) as a measure of well-being of the society or human-being has been debated by many researchers and economists (Elizabeth, 2007; Abhinav, 2014; Deb, 2015 ) There are many deficiencies in tracking GDP as the economic development indicator, as it does not capture the inequality or true development of Human-being. Noted economist Mehbub ul Haq’s human development project defined a composite matrix which captures the life expectancy, education and per capita indicators in one matrix. This was developed to track as a development indicator of human welfare. In the previous studies, the GDP or GDP per capita was regressed with the Human Development Index (HDI) composite index and indicated a direct correlation between the two variables. However, this article examines the contribution of the income component in the HDI index by recalculating the composite matrix. This article also qualitatively examines the ability of HDI index to measure the human development parameters. JEL Classification Codes: E01, I12, O1

scholarly journals ECONOMIC DEVELOPMENT IN AFRICA AND EUROPE: RECIPROCAL COMPARISONS

2015 ◽  
Vol 34 (1) ◽  
pp. 11-37
Author(s):  
Stephen Broadberry ◽  
Leigh Gardner
Keyword(s):  
Twentieth Century ◽  
Economic Development ◽  
Human Development ◽  
Human Development Index ◽  
Development Potential ◽  
Development Index ◽  
National Accounting ◽  
Recent Advances ◽  
Alternative Measures ◽  
Per Capita

ABSTRACTRecent advances in historical national accounting have allowed for global comparisons of GDPper capitaacross space and time. Critics have argued that GDPper capitafails to capture adequately the multi-dimensional nature of welfare, and have developed alternative measures such as the human development index. Whilst recognising that these wider indicators provide an appropriate way of assessing levels of welfare, we argue that GDPper capitaremains a more appropriate measure for assessing development potential, focussing on production possibilities and the sustainability of consumption. Twentieth-century Africa and pre-industrial Europe are used to show how such data can guide reciprocal comparisons to provide insights into the process of development on both continents.

scholarly journals HUMAN DEVELOPMENT INDEX, UNEMPLOYMENT AND POVERTY IN PAPUA PROVINCE, 2010-2015

2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia
Keyword(s):  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Poverty Rate ◽  
Research Data ◽  
Analysis Tool ◽  
Poverty Level ◽  
Development Index ◽  
Independent Variables

Papua Province is one of the poorest provinces in Indonesia. Some of the variables that affect health levels including Human Development Index (HDI) and unemployment rate. This research analyzes Human Development Index and unemployment rate to poverty level in districts/cities in Papua Province during 2010-2015. Research data used in this research is secondary data from Central Bureau of Statistics of district/city in Papua Province. The independent variables used are open unemployment rate and Development Index. While the dependent variable used is poverty level in districts/citis in Papua Province year 2010-2015. The analysis tool used is regression with panel data. The result of this research shows that the average of district/city’s poverty rate in Papua 2010-2015 is 32,34 percent. The highest level is in District Deiyai and the lowest is in District Merauke. The Human Development Index has decreased significantly to the poverty rate of district/city in Papua Province, while the open unemployment rate is positive to the poverty rate of district/city in Papua Province. Human Development Index and open unemployment rate as a whole and together affect poverty level in district/city in Papua Province.

scholarly journals ANALISIS PENGARUH ANGKA HARAPAN LAMA SEKOLAH, RATA-RATA LAMA SEKOLAH, DAN PENGELUARAN PER KAPITA TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH

2021 ◽  
Vol 3 (2) ◽  
pp. 126-140
Author(s):  
A. Jauhar Mahya
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Local Governments ◽  
Average Length ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Development Index ◽  
Capita Expenditure ◽  
Central Java ◽  
Per Capita

The Human Development Index (HDI) is one of the data and information used by local governments to measure the achievement of human development. HDI is formed by three basic dimensions, namely a long and healthy life, knowledge, and a decent standard of living. This study explain whether there is an influence and to obtain the magnitude of the influence of the expected number of years of schooling, the average length of schooling, and the per capita expenditure together on the Human Development Index in Central Java Province. This study was completed using multiple linear regression analysis with the help of SPSS 1.6 (Statistical Package for Social Sciences) software. The results of this study indicate that the expected length of schooling, average length of schooling, and per capita expenditure have a significant effect on the human development index, which is 97.8% and only 2.2% is influenced by other factors.

scholarly journals ANALISIS PENGARUH BELANJA PENDIDIKAN, BELANJA KESEHATAN, TINGKAT KEMISKINAN DAN PDRB TERHADAP IPM DI PROVINSI ACEH

2017 ◽  
Vol 3 (1) ◽  
pp. 51-69
Author(s):  
Muliza Muliza ◽  
Teuku Zulham ◽  
Chenny Seftarita
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Health Sector ◽  
City Governments ◽  
Development Index ◽  
Negative Effect

This study aims to look at the influence of the variables government spending on health and education, poverty and Gross Domestic Product (GDP) of the Human Development Index (HDI) in the province of Aceh. The analytical method used in this research is the analysis of the panel data regression model parameter estimation using a random effects model (REM). The data used is the panel data during the period 2010-2014. The results showed that the variables government spending on education and health sector no significant effect on the human development index, this happens because the district/city governments allocate their spending still more dominant that the type of expenditure that are not directly impact the IPM. While poverty variables significant negative effect on the human development index, then with reduced levels of poverty can enhance human development index. GRDP positive and significant effect on the human development index, which means that the GDP increases, IPM will also increase.Penelitian ini bertujuan untuk melihat pengaruh dari variabel-variabel belanja pemerintah pada sektor kesehatan dan pendidikan, tingkat kemiskinan serta Produk Domestik Regional Bruto (PDRB) terhadap Indeks Pembangunan Manusia (IPM) di Provinsi Aceh. Metode analisis yang digunakan dalam penelitian ini adalah analisis regresi data panel dengan estimasi parameter model menggunakan random effect model (REM). Data yang digunakan adalah data panel selama periode 2010-2014. Hasil penelitian menunjukan bahwa variabel pengeluaran pemerintah di sektor pendidikan dan kesehatan tidak berpengaruh signifikan terhadap indeks pembangunan manusia, hal ini terjadi karena pemerintah kabupaten/kota masih lebih dominan mengalokasikan belanjanya yang pada jenis belanja yang secara tidak lansung memberikan pengaruh terhadap IPM. Sedangkan variabel kemiskinan berpengaruh negatif dan signifikan terhadap indeks pembangunan manusia, maka dengan menurunnya tingkat kemiskinan dapat meningkatkan indeks pembangunan manusia. PDRB berpengaruh positif dan signifikan terhadap indeks pembangunan manusia, yang berarti PDRB meningkat maka IPM juga akan meningkat.

scholarly journals Country-Level Relationships of the Human Intake of N and P, Animal and Vegetable Food, and Alcoholic Beverages with Cancer and Life Expectancy

2020 ◽  
Vol 17 (19) ◽  
pp. 7240
Author(s):  
Josep Penuelas ◽  
Tamás Krisztin ◽  
Michael Obersteiner ◽  
Florian Huber ◽  
Hannes Winner ◽  
...  
Keyword(s):  
Life Expectancy ◽  
United Nations ◽  
Human Development ◽  
Human Development Index ◽  
Alcoholic Beverages ◽  
Cancer Prevalence ◽  
Development Index ◽  
Underdeveloped Countries ◽  
Country Level ◽  
Per Capita

Background: The quantity, quality, and type (e.g., animal and vegetable) of human food have been correlated with human health, although with some contradictory or neutral results. We aimed to shed light on this association by using the integrated data at country level. Methods: We correlated elemental (nitrogen (N) and phosphorus (P)) compositions and stoichiometries (N:P ratios), molecular (proteins) and energetic traits (kilocalories) of food of animal (terrestrial or aquatic) and vegetable origin, and alcoholic beverages with cancer prevalence and mortality and life expectancy (LE) at birth at the country level. We used the official databases of United Nations (UN), Food and Agriculture Organization of the United Nations (FAO), Organization for Economic Co-operation and Development (OECD), World Bank, World Health Organization (WHO), U.S. Department of Agriculture, U.S. Department of Health, and Eurobarometer, while also considering other possibly involved variables such as income, mean age, or human development index of each country. Results: The per capita intakes of N, P, protein, and total intake from terrestrial animals, and especially alcohol were significantly and positively associated with prevalence and mortality from total, colon, lung, breast, and prostate cancers. In contrast, high per capita intakes of vegetable N, P, N:P, protein, and total plant intake exhibited negative relationships with cancer prevalence and mortality. However, a high LE at birth, especially in underdeveloped countries was more strongly correlated with a higher intake of food, independent of its animal or vegetable origin, than with other variables, such as higher income or the human development index. Conclusions: Our analyses, thus, yielded four generally consistent conclusions. First, the excessive intake of terrestrial animal food, especially the levels of protein, N, and P, is associated with higher prevalence of cancer, whereas equivalent intake from vegetables is associated with lower prevalence. Second, no consistent relationship was found for food N:P ratio and cancer prevalence. Third, the consumption of alcoholic beverages correlates with prevalence and mortality by malignant neoplasms. Fourth, in underdeveloped countries, reducing famine has a greater positive impact on health and LE than a healthier diet.

ANALISIS PENGARUH INDEKS PEMBANGUNAN MANUSIA DAN TINGKAT PENGANGGURAN TERBUKA TERHADAP KEMISKINAN DI INDONESIA

2019 ◽  
Vol 2 (2) ◽  
pp. 77-89
Author(s):  
Saparuddin Mukhtar ◽  
Ari Saptono ◽  
As’ad Samsul Arifin
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Lagrange Multiplier Test ◽  
Development Index ◽  
Analysis Techniques ◽  
Negative Effect

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

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