scholarly journals Measurement of the Performance of an Economy

2019 ◽  
Vol 47 (47) ◽  
pp. 41-48
Author(s):  
Eva Jílková ◽  
Jolana Skaličková
Keyword(s):  
Economic Development ◽  
Environmental Factors ◽  
Gross Domestic Product ◽  
Human Development ◽  
National Economy ◽  
Human Development Index ◽  
Well Being ◽  
Domestic Product ◽  
Development Index ◽  
Economic Cycles

The success of a national economy and the economic development of a country are mainly assessed based on economic indicators. The Gross Domestic Product (GDP) is the most commonly used indicator at national and regional levels. The informational power of GDP is limited, so alternative ways of measuring economic development and well-being have begun to be used, of which the Human Development Index (HDI) is the best known and the most accessible. The aim of this research is to highlight the areas that are to be considered when assessing economic development and well-being, especially social and environmental factors. One of the objectives is to compare the GDP and the HDI in the V4 countries. There was a gradual, slight increase in HDI without regard to economic cycles and changes in the GDP in the V4 countries between 2007 and 2017.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO (PDB) DAN INDEKS PEMBANGUNAN MANUSIA (IPM) TERHADAP ANGKA KEMISKINAN DI INDONESIA

2010 ◽  
Vol 8 (2) ◽  
pp. 357
Author(s):  
Muhammad Sri Wahyudi Suliswanto
Keyword(s):  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Random Effect ◽  
Random Effect Model ◽  
Negative Influence ◽  
Domestic Product ◽  
Development Index ◽  
Effect Model ◽  
Independent Variable

Poverty is classic issue faced by most developing countries and is one of economic indicators to view public welfare level in any region. The research aimed to analyze effect of Gross Domestic Product (GDP), and human development index on poverty in Indonesia. Analysis used quantitative with Random Effect Model (REM) method in Panel Data with time series year 2006 to 2008. Anaysis result concluded that all independent variable simultaneously had significant effect on poverty variable in Indonesia and partially Gross Domestic Product (GDP) variable had significant negative influence on poverty with α 20%, and Human Development Index (HDI) variable had significant negative influence on poverty with α 5%.

scholarly journals PHYSICAL INFRASTRUCTURE AND ECONOMIC DEVELOPMENT IN NORTH EASTERN STATES OF INDIA

2019 ◽  
Vol 14 (4) ◽  
pp. 247-268
Author(s):  
Ruby Ojha
Keyword(s):  
Economic Development ◽  
Human Development ◽  
Human Development Index ◽  
Flood Control ◽  
Domestic Product ◽  
Social Infrastructure ◽  
Development Index ◽  
North Eastern ◽  
Physical Infrastructure

This paper studies the trends and pattern in the share of the planned outlay in physical infrastructure on North Eastern States in total outlay of India. The sectors which are focused here are Irrigation & Flood Control, Energy and Transport & Communication. The Paper also analyses the association between the plan outlay on selected sectors and resultant change in Gross State Domestic Product (GSDP) and Human Development Index (HDI) over the period of XI and XII Five Year Plans. The paper concludes that increased plan outlay on physical infrastructure has resulted in increased Gross State Domestic Product in North Eastern States but it may take longer time and more attention towards development of Social infrastructure before it is translated into improved Human Development Index (HDI).

scholarly journals Macroeconomic, demographic and human developmental correlates of physical activity and sitting time among South American adults

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
André O. Werneck ◽  
◽  
Kabir P. Sadarangani ◽  
Robinson Ramírez-Vélez ◽  
Se-Sergio Baldew ◽  
...  
Keyword(s):  
Physical Activity ◽  
Population Density ◽  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Total Population ◽  
Sitting Time ◽  
Domestic Product ◽  
South American ◽  
Development Index

Abstract Background Our aim was to investigate the association of macroeconomic, human development, and demographic factors with different domains of physical activity and sitting time among South American adults. Methods We used data from nationally representative samples in Argentina (n = 26,932), Brazil (n = 52,490), Chile (n = 3866), Colombia (n = 14,208), Ecuador (n = 19,883), Peru (n = 8820), and Uruguay (n = 2403). Our outcomes included leisure time (≥150 min/week), transport (≥10 min/week), occupational (≥10 min/week), and total (≥150 min/week) physical activity, as well as sitting time (≥4 h/day), which were collected through self-reported questionnaires. As exposures, gross domestic product, total population, population density, and human development index indicators from the most updated national census of each country were used. Age and education were used as covariates. Multilevel logistic regressions with harmonized random effect meta-analyses were conducted, comparing highest vs. lowest (reference) tertiles. Results Higher odds for transport physical activity were observed among the highest tertiles of total population (ORmen: 1.41; 95% CI: 1.23–1.62), ORwomen: 1.51; 95% CI:1.32–1.73), population density (ORmen: 1.36; 95% CI: 1.18–1.57, ORwomen: 1.49; 95% CI: 1.30–1.70), and gross domestic product (ORmen: 1.16; 95% CI: 1.00–1.35, ORwomen: 1.39; 95% CI: 1.20–1.61). For leisure physical activity, women living in departments with higher human development index presented 18% higher odds for being active, and for total physical activity a similar estimate in both sexes was observed among those who live in more populated areas. No consistent associations were found for occupational physical activity and sitting time. Conclusion Macroeconomic, demographic and human development indicators are associated with different domains of physical activity in the South American context, which can in turn guide policies to promote physical activity in the region.

Time indicator of the Human Development Index

2017 ◽  
Vol 28 (1) ◽  
pp. 273-296
Author(s):  
R Ibar-Alonso ◽  
C Cosculluela-Martínez ◽  
GJD Hewings
Keyword(s):  
Life Expectancy ◽  
Gross Domestic Product ◽  
United Nations ◽  
Human Development ◽  
Human Development Index ◽  
Domestic Product ◽  
Discriminant Functions ◽  
Development Index ◽  
Fisher Discriminant ◽  
The United Nations

The Human Development Index, computed by the United Nations, has been challenged since it does not measure the real development of a country. It needs to be combined with other indexes and ratios (poverty, Gini index). Using the same data as the United Nations, an additional dimension (time) is added to create a Time Human Development Index (THDI) where the weights differ for each cluster of countries. Fisher discriminant functions classify countries in each period of time, allowing different weights of the variables for the same country each year. Results suggest that when the Literacy and gross enrolment rates decrease in the four countries occupying the lower positions in the THDI, the THDI falls. In those countries where the THDI increases, gross domestic product and life expectancy rates do not seem to be positively correlated to the THDI, while the gross enrolment rate also increases. Thus, gross enrolment and literacy rates are variables related to the evolution of THDI; while, surprisingly, gross domestic product and life expectancy has few influence in its evolution.

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 The relationship between macro-socioeconomics determinants and COVID-19 vaccine distribution

2021 ◽  
Vol 8 (4) ◽  
pp. 655-664
Author(s):  
Ali Roghani ◽  
Keyword(s):  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Ordinary Least Squares ◽  
Domestic Product ◽  
Development Index ◽  
Successful Vaccine ◽  
Vaccine Distribution ◽  
The Relationship ◽  
Over Time

<abstract> <p>Since coronavirus disease 2019 (COVID-19) has continued to spread globally, many countries have started vaccinations at the end of December 2020. This research examines the relationship between COVID-19 vaccine distribution and two macro-socioeconomics measures, including human development index and gross domestic product, among 25 countries for two points in time, including February and August 2021. The COVID-19 dataset is a collection of the COVID-19 data maintained by Our World in Data. It is a daily updated dataset and includes confirmed cases, vaccinations, deaths, and testing data. Ordinary Least Squares was applied to examine how macro-socioeconomic measures predict the distribution of the COVID-19 vaccine over time.</p> <sec> <title>Results</title> <p>The results indicate that a higher gross domestic product per capita is positively associated with higher COVID-19 vaccine distribution, and this relationship becomes more robust over time. However, some countries may have more successful vaccine distribution results regardless of their gross domestic product. In addition, the result shows human development index does not have a significant relationship with vaccine distribution.</p> </sec><sec> <title>Conclusion</title> <p>Economic measures may be counted as a more vital indicator for vaccine distribution as they have a more direct relationship distribution with health infrastructure than social measures such as human development index.</p> </sec></abstract>

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