Causal Relationships GDP per Capita, Human Development Index and Corruption Perceptions Index in Indonesia

2019 ◽  
Author(s):  
Agus Eko Sujianto ◽  
Mashudi Mashudi ◽  
Khusnul Mufidati
2018 ◽  
Vol 2 (1) ◽  
pp. 165
Author(s):  
Yunie Rahayu

Poverty is a problem faced by all countries in the world, especially the developing countries, such as Indonesia. Poverty is a complex issue that is affected by a variety of interrelated factors, such as people's income levels, unemployment, health, education, access to goods and services, geographic location, gender, and location the environment. The number of poor population in Central Java is relatively lebihtinggi compared to laindi province of Indonesia, that is occupying ranked second in the number of poor population the largest in Indonesia after East Java. This research aims to analyze how and how much the variable influences the human development index, GDP per capita, and the number of poor population against unemployment in Jambi province in the year 2016. Methods of analysis in this study using multiple linear regression analysis with the method of Ordinary Least Square (OLS) that use data between spaces (cross section) district/town in Jambi province year 2016 with the help of software Eviews 4.1. The results of this research indicate that the variable is the human development index (HDI) a negative and significant effect against the poor population in the province of Jambi, the per capita GDP is negative and significant effect against the number of poor population in The province of Jambi, the unemployment and the number of positive and significant effect against the poor population in the province of Jambi.Keywords: population of the poor, the human development index (HDI), GDP per capita, and the number of Unemployed


2019 ◽  
Vol 66 (4) ◽  
pp. 385-410 ◽  
Author(s):  
Vittorio Daniele ◽  
Paolo Malanima

This article is aimed at analysing the trends of economic, social and institutional inequality among the Mediterranean countries in the period 1950- 2015. After the examination of the inequalities in GDP per capita among and within nations, we present a Human Development Index (HDI) that includes a measure of democratic achievements. Main result is that inequalities in income, after the rise from the 1950s onwards, declined from the start of the twenty-first century. Inequalities in HDI, instead, constantly diminished in the period under examination, while a process of democratization occurred. On the whole, despite the convergence among Mediterranean countries, economic inequalities are much deeper than those in social indicators.


Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 775
Author(s):  
Philippe Colson ◽  
Didier Raoult

It has now been over a year since SARS-CoV-2 first emerged in China, in December 2019, and it has spread rapidly around the world. Some variants are currently considered of great concern. We aimed to analyze the numbers of SARS-CoV-2 genome sequences obtained in different countries worldwide until January 2021. On 28 January 2021, we downloaded the deposited genome sequence origin from the GISAID database, and from the “Our world in data” website we downloaded numbers of SARS-CoV-2-diagnosed cases, numbers of SARS-CoV-2-associated deaths, population size, life expectancy, gross domestic product (GDP) per capita, and human development index per country. Files were merged and data were analyzed using Microsoft Excel software. A total of 450,968 SARS-CoV-2 genomes originating from 135 countries on the 5 continents were available. When considering the 19 countries for which the number of genomes per 100 deaths was >100, six were in Europe, while eight were in Asia, three were in Oceania and two were in Africa. Six (30%) of these countries are beyond rank 75, regarding the human development index and four (20%) are beyond rank 80 regarding GDP per capita. Moreover, the comparisons of the number of genomes sequenced per 100 deaths to the human development index by country show that some Western European countries have released similar or lower numbers of genomes than many African or Asian countries with a lower human development index. Previous data highlight great discrepancies between the numbers of available SARS-CoV-2 genomes per 100 cases and deaths and the ranking of countries regarding wealth and development.


2020 ◽  
Author(s):  
Farida Rahmawati ◽  
Meirna Nur Intan

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


2019 ◽  
Vol 13 (3-4) ◽  
pp. 87-92
Author(s):  
Szlobodan Vukoszavlyev

We study the connection of innovation in 126 countries by different well-being indicators and whether there are differences among geographical regions with respect to innovation index score. We approach and define innovation based on Global Innovation Index (GII). The following well-being indicators were emphasized in the research: GDP per capita measured at purchasing power parity, unemployment rate, life expectancy, crude mortality rate, human development index (HDI). Innovation index score was downloaded from the joint publication of 2018 of Cornell University, INSEAD and WIPO, HDI from the website of the UN while we obtained other well-being indicators from the database of the World Bank. Non-parametric hypothesis testing, post-hoc tests and linear regression were used in the study.We concluded that there are differences among regions/continents based on GII. It is scarcely surprising that North America is the best performer followed by Europe (with significant differences among countries). Central and South Asia scored the next places with high standard deviation. The following regions with significant backwardness include North Africa, West Asia, Latin America, the Caribbean Area, Central and South Asia, and sub-Saharan Africa. Regions lagging behind have lower standard deviation, that is, they are more homogeneous therefore there are no significant differences among countries in the particular region.In the regression modelling of the Global Innovation Index, it was concluded that GDP per capita, life expectancy and human development index are significant explanatory indicators. In the multivariable regression analysis, HDI remained the only explanatory variable in the final model. It is due to the fact that there was significant multicollinearity among the explanatory variables and the HDI aggregates several non-economic indicators like GII. JEL Classification: B41, I31, O31, Q55


Author(s):  
T. V. Melnychuk

The article highlights the results of the study of regression and correlation interrelations between the indicators of development (Human Development Index, GDP per capita, GINI index, etc.) and the ratio of crime intensity and the intensity of certain types of crimes on the basis of criminometric methods.


2018 ◽  
Vol 2 (2) ◽  
pp. 40-46
Author(s):  
Elistia Elistia ◽  
Barlia Annis Syahzuni

Economic growth is an important factor in the economic development of a country. There is a number of factors that can increase economic growth namely human development. The level of human development in a country array in the value of the Human Development Index (HDI). The growth rate of a country appears in the value of the Gross Domestic Product (GDP) per Capita. The influence of human power resources is shown in the value of HDI which is able to influence the level of economic growth in the value of its GDP. This study will examine the effect of HDI on economic growth in 10 (ten) ASEAN member countries during the period 2010-2016, namely Indonesia, Singapore, Malaysia, Thailand, Brunei Darussalam, Philippines, Laos, Vietnam, Myanmar, and Cambodia against its economic growth in its GDP per capita. Several literature studies such Ciobanu Oana (2015), Swaha Shome et.al (2010), Mihu? Loana Sorina (2013), show that there are a relationship and an influence of Human Development Index's value on Gross Domestic Product (GDP) per capita. The result of this research indicates that each country has a strong and significant correlation between HDI and GDP. It is concluded that the level of HDI can affect the GDP per capita. Economic growth makes it possible to reach a high level of human development, on the one hand, increasing levels of human development leading to increase opportunities for economic growth. The causal relationship between economic growth and human development becomes a mutually influential relationship. So it is clear that the human development in the country relates to an influence of economic growth which is seen in per capita income (GDP per capita) which can be an indicator of welfare in the country.


2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Muhammad Taqi ◽  
Muhammad Sibt e Ali ◽  
Sabiha Parveen ◽  
Mehtab Babar ◽  
Inam Makki Khan

Economic growth is an important factor in the economic development of a country. There are some factors that can increase economic growth namely human development. The level of human development in a country array in the value of the Human Development Index (HDI). The growth rate of a country appears in the value of the Gross Domestic Product (GDP) per Capita. The influence of human power resources is shown in the value of HDI which is able to influence the level of economic growth in the value of its GDP. This study will examine the effect of HDI on economic growth in Pakistan during the period 1980-2018 against its economic growth in its GDP per capita. The result of this research indicates that each country has a strong and significant correlation between HDI and GDP. It is concluded that the level of HDI can affect the GDP per capita. Economic growth makes it possible to reach a high level of human development, on the one hand, increasing levels of human development leading to increase opportunities for economic growth. The causal relationship between economic growth and human development becomes a mutually influential relationship. So it is clear that the human development in the country relates to an influence of economic growth which is seen in per capita income (GDP per capita) which can be an indicator of welfare in the country.


2021 ◽  
pp. 001946622199862
Author(s):  
G G Sajith ◽  
K. Malathi

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


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