Факторы развития человеческого капитала: межстрановый сравнительный анализ

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Human capital is a key factor of economic growth and inter-state competitiveness in the context of globalization, rapid technological progress, and digital economy. While analyzing various theoretical and methodological approaches to the concept of human capital as a category, the authors systematized the factors that affect its development in different countries to identify the cause-effect relationships and define the most effective improvement measures. The quantitative and qualitative methods involved correlation studies, comparative method, and economic analysis. Represented as graphs and tables, the comparative analysis demonstrated the dynamics of human capital across countries in terms of factors and country-specific conditions. Human capital development proved to depend on the level of investment in education, healthcare, social protection, and economic stability. Countries with high values of human capital demonstrated higher rates of economic growth, and resilience to economic crises, and global competitiveness. The dynamic analysis of human capital development in different countries was an attempt to explain some emerging trends in this sphere.

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This paper utilizes country-specific time series data over the period 1990-2017 and Autoregressive Distributive Lag (ARDL) model to estimate the relationship between and human capital development in Nigeria. The specific objectives focused on the impacts of official development assistance (ODA), broad-based grants and technical cooperation grants on public investments in education and healthcare. The Phillips-Perron unit root test results reveal that the variables are mixed integrated with evidence of levels and first difference stationarity. The mixed order of the integration in the series necessitated the application of ARDL bounds test for cointegration and the results indicate that the variables in each of the models have long run relationship. Findings from the estimated ARDL models reveal that lagged values ODA exert significant positive impact on public investment in education in the short run. Both the first and third lag of broad-based grant has significant negative relationship with public investment in education in the short run. The long run result revealed that ODA and technical cooperation grants have significant positive relationship with public investment in education. 1 percent increase in ODA and technical cooperation grants increases public investment in education by 4.289 percent and 0.829 percent respectively. It was further observed that the contemporaneous value of ODA has positive relationship with public healthcare investment in the short run. 1 percent increase in ODA inflow increases public healthcare investment by 1.099 percent. Additionally, there is more than proportionate increase in public investment in healthcare to the tune of 3.179 percent following 1 percent increase in ODA in the long run. Therefore, it is recommended among others that policy makers and donor countries/agencies should prioritize the education sector in the disbursement of foreign aid with a view to achieving the fourth Sustainable Development Goal (SDG) which is to ensure inclusive and quality education for all and promote lifelong learning. Keywords: Human development, education, healthcare, ODA, grants, ARDL and Nigeria. DOI : 10.7176/JESD/10-7-05 Publication date : April 30 th 2019

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РОЛЬ ЧЕЛОВЕЧЕСКОГО КАПИТАЛА В СОЦИАЛЬНО-ЭКОНОМИЧЕСКОМ РАЗВИТИИ РЕГИОНОВ РОССИИ
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INVESTMENTS IN HUMAN CAPITAL DEVELOPMENT AND WAGES: RELATIONSHIPS AND PROBLEMS IN LOWER-MIDDLE-INCOME COUNTRIES
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The purposes of the article are to assess the impact of financing of education and health to human capital development, to consider the relationship among wages and investment in human capital, to establish directions of improvement of the investments in human capital development in Ukraine and other lower-middle-income countries. Methodology. Methodological basis of the research is the study of the dynamics of such indicators as the Human Capital Index 2020, wages, GNI per capita, education expenditure, government expenditure, financing of health, the wages of full-time employees. To solve the problems arising from the purpose of the study, systemic method (when analyzing the relationship of the investments in human capital development and wages), statistical methods of comparisons, economic analysis (when processing statistics), historical method (in the study of the evolution of Human Capital Index, expenditures on health and education), empirical and correlation-regression analysis (in the analysis of the practice of investments in human capital development) have been used. Results. The human capital is a central driver of sustainable growth and poverty reduction. The article proves that high-income countries can better finance the development of human capital; they are the leaders of the Ukraine Index 2020, more human capital in high-income countries is associated with higher earnings for people, higher income for countries, and stronger cohesion in societies. At the same time, the article substantiates that the low level of GNI per capita (3370 USD in Ukraine) and insufficient level of education and health expenditure negatively affect formation of human capital (the 53rd place in the Human Capital Index 2020). On the basis of the study of government and non-government expenditure on education and health, it has been concluded that investments in human capital are the effective tool to increase of the wages of full-time employees. Practical implications. Today human capital gains in many countries are at risk, especially in lower-middle-income countries. Features of the current socioeconomic situation require strengthening of investments in human capital development. The main steps that are necessary to undertake for implementing changes in the investments in human capital development have been determined in the article. They are the following: optimization of state financing of human capital; creation of fiscal space; creation of regional funds for financing human capital development; creation of strategic alliances and partnerships; supporting the demand for education and health care from households. Value/originality. The relationships between investments in human capital development and wages in the lower-middle-income countries are analytically proved. The complex of actions on optimization of financing of human capital has been generalized.

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The article presents the mechanism of human capital development, which takes into account the peculiarities of the functioning of machine-building enterprises, ensures the parallel development of digital skills, knowledge, digital intellectual potential in combination with technical and technological support, includes organizational measures and economic support for their implementation. Several factors affecting the development of human capital in the conditions of digitalization of the economy are identified. The factors of organizational direction that determine the development of human capital of machine-building enterprises include the implementation of the strategy for the development of the digital economy of Ukraine, demand for digital services, the development of remote work, the spread of devices and access to high-speed Internet, and the factors of economic direction - the reduction of the cost of digital technologies, the acceleration of turnover of funds thanks to e-commerce, capital return and asset productivity, reduction of transaction costs. The article describes several principles on which the human capital development mechanism should be based: the principles of proactivity, adaptability, perspective, progressiveness, comprehensiveness and economy. These principles are correlated with measures for the development of human capital. It is substantiated that the mechanism involves the use of modern tools provided by Industry 4.0 and Industry 5.0 technologies, as well as methods of proactive development of human capital. The framework of digital competencies and roadmaps for the integration development of human capital and the implementation and implementation of digital strategies are defined as an effective tool for engineering enterprises in the implementation of the development of human capital based on digitalization. A set of measures for the development of human capital has been substantiated and disclosed, which includes: the formation and systematic monitoring of digital competencies with the involvement of employees who correspond to them; creation and use of a corporate university, ensured both by the involvement of employees and the use of internally formed knowledge and abilities of own employees; renewal of tangible and intangible assets for digitization, development and adaptation of human capital by implemented digital strategies. The format of the proposed corporate university, which will involve comprehensive training of various groups of employees, exchange of experience and the use of various digital tools and VR/AR simulators, is detailed. Economic support for the proactive development of human capital is disclosed. Digitization strategies are defined, which should be aimed at the development of human capital of machine-building enterprises. The effectiveness of the implementation of the mechanism is substantiated.

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Linking Social Investment in Education and Health to Labor Productivity: The Case of Vietnam
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  • Nguyen The Khang

This study aims to evaluate the impact of investment in the education and healthcare sectors on labor productivity in Vietnam from 2000 to 2023. Grounded in human capital theory and the endogenous growth model, this study employs the Autoregressive Distributed Lag approach to examine both the short- and long-run relationships among key macroeconomic variables, including investment in education, investment in healthcare, foreign direct investment, and labor productivity. The empirical findings reveal that in the long run, investment in both education and healthcare exerts a positive influence on labor productivity. Specifically, investment in education is statistically significant at the 5% level, whereas healthcare investment is significant at the 10% level. Conversely, foreign direct investment does not exhibit a statistically significant effect on labor productivity in the long term. In the short run, education investment continues to show a positive and significant impact, whereas the effects of healthcare investment and foreign direct investment are positive, but not statistically robust. The error correction coefficient is negative and statistically significant, indicating a relatively rapid adjustment speed of 74.18% per year toward long-run equilibrium. The diagnostic tests confirmed the validity and reliability of the model. This study highlights the critical role of education and healthcare in enhancing labor productivity and recommends that the government prioritize strategic budget allocation and improve the efficiency of public investment to foster sustainable economic growth.

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