scholarly journals Human Capital, Growth and Inequality in Transition Economies

2003 ◽  
pp. 259-276 ◽  
Author(s):  
Michael Spagat
Keyword(s):  
Human Capital ◽  
Transition Economies ◽  
Capital Growth

Is the Ukrainian economy’s absorptive capacity appropriate to attract foreign direct investment and facilitate economic growth?

2018 ◽  
Vol 13 (6) ◽  
pp. 1928-1947
Author(s):  
Svitlana Shevelova ◽  
Svitlana Plaskon
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Human Capital ◽  
Foreign Direct Investment ◽  
Production Function ◽  
Transition Economies ◽  
Absorptive Capacity ◽  
Direct Investment ◽  
Content Type ◽  
Douglas Production Function

Purpose Despite an increasing volume of literature focussed on foreign direct investment (FDI) in transition economies, there has been little research into FDI in Ukraine. The relationship between the inflows of FDI (IFDI) and absorptive capacity (AC) has been under-researched in the peripheral transition countries like Ukraine. The purpose of this paper is to analyse the appropriateness of the Ukrainian economy’s AC to attract IFDI and facilitate economic growth with a particular focus on AC factors, such as the potential of human resources to absorb innovation and benefit from research and development (R&D) expenditure. Design/methodology/approach This study presents a thoughtful research design: there is an analysis of the AC framework for justification and selection factors that allows a measurement of the potential of Ukraine’s AC to attract and exploit IFDI. The study uses data from 25 regions in Ukraine for the 1996–2015 period. To estimate the effects of IFDI on Ukrainian economic growth, a Cobb–Douglas production function is used. As an appropriate instrumentation technique for dynamic panel data, the Generalised Method of Moments is used to provide unbiased and efficient estimates of the results. The application of the interactive term in this study allows the authors to indicate the existence of complementarities between IFDI and human capital, in particular with higher education, that afford opportunity to absorb new technologies and benefit from IFDI. Findings The resulting model indicates that R&D expenditure benefited very significantly in evolving country’s innovation system due to economic growth. Physical and human capital has not been used effectively in Ukraine to facilitate economic growth and attract IFDI. The number of patents is not significant in all of the regression models. Moreover, IFDI in Ukraine for the 1996–2015 period did not significantly impact on economic growth. However, the AC of human capital, in particular those with a higher education, is relatively relevant to benefit from IFDI. Practical implications The findings have important implications for governmental policy, which should be based on improving the business climate, a strategy for digital development, innovation, migration, institutional and regional policies aimed at the achievement of country’s sustainable economic growth. The government should increase R&D expenditure as an important factor of gross domestic product growth and introduce grants, loans and other financial supports for encouraging students to continue university education. Originality/value The originality and value of this paper is empirical and methodological. The empirical results of this study enable a conclusion about the appropriate level of the country’s absorptive capability required to benefit from IFDI. The paper also contributes to the existing academic debate and proves that despite the well-established theoretical framework for the IFDI–AC economic impact context, a new theorisation is needed to explore the full complexity of the country’s explicit relationship between AC and IFDI. Future research should be focussed on examining not only groups of countries but also distinctly the country’s explicit relationship between AC and IFDI with the particular attention for the under-researched countries: the peripheral transition economies to discover new research niches for theory building. This study presents an original methodological approach with a careful justification of the theoretical framework for hypothesis development, an appropriate sample and an original application of seminal research methods based on the Cobb–Douglas production function. This study proves that the interactive term, which allows indication of the existence of complementarities between IFDI and other variables, is appropriate for measuring AC in countries with smaller amounts of IFDI.

scholarly journals Cities and Growth: In Situ Versus Migratory Human Capital Growth

2008 ◽  
Author(s):  
Desmond Beckstead ◽  
W. Mark Brown ◽  
K. Bruce Newbold
Keyword(s):  
Human Capital ◽  
Capital Growth

scholarly journals Vintage Human Capital, Growth, and Structural Unemployment

1986 ◽  
Author(s):  
V. V. Chari ◽  
Hugo Andres Hopenhayn
Keyword(s):  
Human Capital ◽  
Structural Unemployment ◽  
Capital Growth

scholarly journals Capitalists in the Twenty-First Century*

2019 ◽  
Vol 134 (4) ◽  
pp. 1675-1745 ◽  
Author(s):  
Matthew Smith ◽  
Danny Yagan ◽  
Owen Zidar ◽  
Eric Zwick
Keyword(s):  
Human Capital ◽  
Value Added ◽  
Primary Source ◽  
Premature Death ◽  
Financial Capital ◽  
Capital Growth ◽  
Working Age ◽  
Capital Tax ◽  
Business Profit ◽  
Pass Through

Abstract How important is human capital at the top of the U.S. income distribution? A primary source of top income is private “pass-through” business profit, which can include entrepreneurial labor income for tax reasons. This article asks whether top pass-through profit mostly reflects human capital, defined as all inalienable factors embodied in business owners, rather than financial capital. Tax data linking 11 million firms to their owners show that top pass-through profit accrues to working-age owners of closely held mid-market firms in skill-intensive industries. Pass-through profit falls by three-quarters after owner retirement or premature death. Classifying three-quarters of pass-through profit as human capital income, we find that the typical top earner derives most of her income from human capital, not financial capital. Growth in pass-through profit is explained by both rising productivity and a rising share of value added accruing to owners.

Physical Activity: An Underestimated Investment in Human Capital?

2013 ◽  
Vol 10 (3) ◽  
pp. 289-308 ◽  
Author(s):  
Richard Bailey ◽  
Charles Hillman ◽  
Shawn Arent ◽  
Albert Petitpas
Keyword(s):  
Physical Activity ◽  
Human Capital ◽  
Life Course ◽  
Human Development ◽  
Well Being ◽  
Domain Specific ◽  
Capital Growth ◽  
To Come ◽  
Healthy Functioning ◽  
The Life Course

Despite the fact that physical activity is universally acknowledged to be an important part of healthy functioning and well-being, the full scope of its value is rarely appreciated. This article introduces a novel framework for understanding the relationships between physical activity (and specifically sport-related forms of physical activity) and different aspects of human development. It proposes that the outcomes of physical activity can be framed as differential ‘capitals’ that represent investments in domain-specific assets: Emotional, Financial, Individual, Intellectual, Physical, and Social. These investments, especially when made early in the life course, can yield significant rewards, both at that time and for years to come. The paper presents a new model—the Human Capital Model—that makes sense of these effects, outlines the different capitals, and briefly articulates the conditions necessary for the realization of Human Capital growth through physical activity.

scholarly journals Human Capital, Growth and Inequality

2016 ◽  
Vol 24 (0) ◽  
pp. 23 ◽  
Author(s):  
Ken Mayhew
Keyword(s):  
Human Capital ◽  
Capital Growth

scholarly journals Empirical Analysis of Human Capital Convergence in Indonesia

JEJAK ◽  
2018 ◽  
Vol 11 (2) ◽  
pp. 306-322
Author(s):  
Aminuddin Anwar
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Fixed Effects ◽  
Health Centers ◽  
Fixed Effects Model ◽  
Conditional Convergence ◽  
Capital Growth ◽  
Sigma Convergence ◽  
Convergence Model ◽  
Second Period

This research analyzes the convergence hypothesis that applied to human capital which is one of important factor for economic development. This model applied to analyze the condition of provinces in Indonesia that have different conditions of human capital between regions for 33 provinces in Indonesia for two period between 2004 to 2010 and 2010 to 2016. This study uses data panels in estimating with fixed effects model as the best model choice. The result of the analysis for sigma convergence model is a decrease of global dispersion of human capital growth in Indonesia for the both periods. The results of beta convergence confirm the existence of absolute and conditional convergence model for the both periods. The determinants of human capital convergence in first period are economic growth, poverty, illiteracy, access to sanitation, access to clean water, number of health centers, and number of universities. Meanwhile different conditions are shown in the second period where the determinants of conditional convergence of human capital are determined only by economic growth, poverty, and sanitation access.

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