The Positive Effects of Education, Research and Innovation on GDP Per Capita

2012 ◽  
Author(s):  
Edward Ang
Keyword(s):  
Education Research ◽  
Gdp Per Capita ◽  
Positive Effects ◽  
Research And Innovation ◽  
Per Capita

scholarly journals Globalization and educational inequality during the 18th to 20th centuries: Latin America in global comparison

2010 ◽  
Vol 28 (2) ◽  
pp. 279-305 ◽  
Author(s):  
Joerg Baten ◽  
Christina Mumme
Keyword(s):  
Developing Countries ◽  
Latin America ◽  
Strong Evidence ◽  
Educational Inequality ◽  
Gdp Per Capita ◽  
Positive Effects ◽  
Global Comparison ◽  
Per Capita ◽  
The Rich

AbstractThis paper explores the inequality of numeracy and education by studying school years and numeracy of the rich and poor, as well as of tall and short individuals. To estimate numeracy, the age-heaping method is used for the 18th to early 20th centuries. Testing the hypothesis that globalization might have increased the inequality of education, we find evidence that 19th century globalization actually increased inequality in Latin America, but 20th century globalization had positive effects by reducing educational inequality in a broader sample of developing countries. Moreover, we find strong evidence for Kuznets’s inverted U hypothesis, that is, rising educational inequality with GDP per capita in the period until 1913 and the opposite after 1945.

scholarly journals Wealth inequality and CO2 emissions in emerging economies: The case of BRICS

2020 ◽  
Author(s):  
Goodness C. Aye
Keyword(s):  
Co2 Emissions ◽  
Financial Development ◽  
Emerging Economies ◽  
Fixed Effects ◽  
Wealth Inequality ◽  
Gdp Per Capita ◽  
Fixed Effects Model ◽  
Positive Effects ◽  
Fixed Effects Panel Regression ◽  
Per Capita

As the world battles with the triple problems of social, economic, and environmental challenges, it has become important to focus both policy and research efforts on these. Therefore, this study examines the effect of wealth inequality on CO2 emissions in five emerging economies: Brazil, Russia, India, China, and South Africa. The top decile of wealth share was used as a measure of wealth inequality, while CO2 emissions per capita were used as a measure of CO2 emissions. GDP per capita, population, and financial development (domestic credit to the private sector) were included as control variables. A balanced panel dataset of annual observations from 2000 to 2014 for these countries was used. Both fixed and random effects panel models were estimated, but the Hausman test favoured the use of the fixed effects model. The results based on the fixed effects panel regression model show that wealth inequality, GDP per capita, and population have positive effects on CO2 emissions, while financial development has a negative effect.

scholarly journals The influence of the demographic structure on the economic growth of Ukraine

2021 ◽  
Vol 68 (1) ◽  
pp. 47-74
Author(s):  
Nazarii Kukhar
Keyword(s):  
Economic Growth ◽  
Gdp Per Capita ◽  
Demographic Structure ◽  
National Academy Of Sciences ◽  
Negative Effects ◽  
Positive Effects ◽  
The Face ◽  
Per Capita ◽  
Academy Of Sciences ◽  
The Impact

The national economy is closely related to the demographic structure of the society. Therefore, in the face of demographic changes, it is necessary to assess the influence of these changes on economic growth. This article presents an estimation of the impact that the future changes in the demographic structure will have on the economic growth of Ukraine, represented by the rate of changes in GDP per capita. The decomposition of GDP per capita and making the components of this decomposition dependent on the demographic structure allowed an empirical analysis, which used a variety of econometric and statistical techniques and was based on a population forecast prepared by the Ptoukha Institute for Demography and Social Studies of the National Academy of Sciences of Ukraine. As a result, it was determined that the impact of the changes in the demographic structure on Ukraine’s long-term economic growth will be highly diverse over the studied period (until 2060). However, considering the entire period of the analysis, the negative effects of the changes in the demographic structure on the economy will be counterbalanced by the positive effects of these changes.

scholarly journals How Does Monetary Policy Affect Income Inequality? Evidence from Europe

2021 ◽  
Vol 24 (1) ◽  
pp. 95-112
Author(s):  
Vivien Czeczeli
Keyword(s):  
Monetary Policy ◽  
Side Effects ◽  
Interest Rates ◽  
Gdp Per Capita ◽  
Positive Effects ◽  
Panel Ardl ◽  
Nominal Interest Rates ◽  
Per Capita ◽  
Effect Of Monetary Policy

The issue of inequalities has become increasingly important in recent decades. Although distributional effects, such as  inequalities, are commonly associated with globalisation  and fiscal policy processes, many of the side effects of the  exceptionally loose monetary policy of the last decade also  affect the issue. After identifying the mechanisms and  channels linking the field of monetary policy and inequality,  the research focuses on empirical analyses. The  research is based on a panel ARDL test focusing on the 19  Euro area countries and Denmark, Sweden and Switzerland,  where negative nominal interest rates have  been applied. The research includes the period of 2008–2018. The aim of the paper is to assess how certain  monetary policy indicators affect inequality. The main  conclusion is consistent with the existing literature: the  effect of monetary policy to inequalities is modest, however  not negligible. The effect of inflation seems to be  weak; however, the rise in unemployment rate and long  term interest rates negatively affect inequalities. The  positive effects of the rising GDP per capita are also proven  by the analysis.

Searching for new Sources of growth. Are the Developing Countries Catching up with the Developed ones?

2015 ◽  
pp. 30-53
Author(s):  
V. Popov
Keyword(s):  
Developing Countries ◽  
Western Europe ◽  
Gdp Per Capita ◽  
The West ◽  
Catching Up ◽  
The Us ◽  
The World ◽  
Economic Divergence ◽  
Per Capita ◽  
Relative Standing

This paper examines the trajectory of growth in the Global South. Before the 1500s all countries were roughly at the same level of development, but from the 1500s Western countries started to grow faster than the rest of the world and PPP GDP per capita by 1950 in the US, the richest Western nation, was nearly 5 times higher than the world average and 2 times higher than in Western Europe. Since 1950 this ratio stabilized - not only Western Europe and Japan improved their relative standing in per capita income versus the US, but also East Asia, South Asia and some developing countries in other regions started to bridge the gap with the West. After nearly half of the millennium of growing economic divergence, the world seems to have entered the era of convergence. The factors behind these trends are analyzed; implications for the future and possible scenarios are considered.

Atlas of economic complexity, Russian regional pages

2018 ◽  
pp. 71-91 ◽  
Author(s):  
I. L. Lyubimov ◽  
M. V. Lysyuk ◽  
M. A. Gvozdeva
Keyword(s):  
Value Added ◽  
Growth Strategy ◽  
Gdp Per Capita ◽  
Export Diversification ◽  
Russian Regions ◽  
Economic Complexity ◽  
Diversification Strategies ◽  
Central Regions ◽  
Per Capita ◽  
Regions Of Russia

Well-established results indicate that export diversification might be a better growth strategy for an emerging economy as long as its GDP per capita level is smaller than an empirically defined threshold. As average incomes in Russian regions are likely to be far below the threshold, it might be important to estimate their diversification potential. The paper discusses the Atlas of economic complexity for Russian regions created to visualize regional export baskets, to estimate their complexity and evaluate regional export potential. The paper’s results are consistent with previous findings: the complexity of export is substantially higher and diversification potential is larger in western and central regions of Russia. Their export potential might become larger if western and central regions, first, try to join global value added chains and second, cooperate and develop joint diversification strategies. Northern and eastern regions are by contrast much less complex and their diversification potential is small.

The Reproduction Vector of the Russian Economy: 1999-2007

2008 ◽  
pp. 94-109 ◽  
Author(s):  
D. Sorokin
Keyword(s):  
Economic Policy ◽  
Human Capital ◽  
Growth Rates ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Real Sector ◽  
Russian Economy ◽  
Per Capita ◽  
The Developed Countries

The problem of the Russian economy’s growth rates is considered in the article in the context of Russia’s backwardness regarding GDP per capita in comparison with the developed countries. The author stresses the urgency of modernization of the real sector of the economy and the recovery of the country’s human capital. For reaching these goals short- or mid-term programs are not sufficient. Economic policy needs a long-term (15-20 years) strategy, otherwise Russia will be condemned to economic inertia and multiplying structural disproportions.

PROFESSIONAL TRAINING OF ELECTRONICS ENGINEERS: APPLYING US EXPERICENCE TO UKRAINAN HIGHER EDUCATION INSTITUTIONS

2020 ◽  
pp. 80-85
Author(s):  
Olha Pavlenko
Keyword(s):  
Higher Education ◽  
Education Research ◽  
Best Practices ◽  
Cost Reduction ◽  
Professional Training ◽  
Higher Education Institutions ◽  
Academic Staff ◽  
Research And Innovation ◽  
Current State

The article discusses the current state of professional training of engineers, in particular, electronics engineers in Ukrainian higher education institutions (HEIs) and explores best practices from US HEIs. The research outlines the features of professional training of electronics engineers and recent changes in Ukrainian HEIs. Such challenges for Ukrainian HEIs as lack of collaboration between higher education and science with industry, R&D cost reduction for HEIs, and downsizing the research and academic staff, the disparity between the available quality of human capital training and the demanded are addressed. The study attempts to identify successful practices of US HEIs professional training of engineers in order to suggest potential improvements in education, research, and innovation for training electronics engineers in Ukraine.

The monetary value of disability-adjusted-life-years lost in Kenya in 2017.pdf

2019 ◽  
Author(s):  
Joses Kirigia ◽  
Rose Nabi Deborah Karimi Muthuri
Keyword(s):  
New York ◽  
International Monetary Fund ◽  
Health Expenditure ◽  
Analytical Framework ◽  
World Health ◽  
Gdp Per Capita ◽  
Current Health ◽  
Monetary Value ◽  
Life Years ◽  
Per Capita

<div>A variant of human capital (or net output) analytical framework was applied to monetarily value DALYs lost from 166 diseases and injuries. The monetary value of each of the 166 diseases (or injuries) was obtained through multiplication of the net 2019 GDP per capita for Kenya by the number of DALYs lost from each specific cause. Where net GDP per capita was calculated by subtracting current health expenditure from the GDP per capita. </div><div> </div><p>The DALYs data for the 166 causes were from IHME (Global Burden of Disease Collaborative Network, 2018), GDP per capita data from the International Monetary Fund world economic outlook database (International Monetary Fund, 2019), and the current health expenditure per person data from the WHO Global Health Expenditure Database (World Health Organization, 2019b). A model consisting of fourteen equations was calculated with Excel Software developed by Microsoft (New York).</p><p> </p>

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