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Copyright of Journal of Management & Economics Research is the property of Journal of Management & Economics Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Sakarya Journal of Economics / Sakarya Iktisat Dergisi is the property of Sakarya Journal of Economics / Sakarya Iktisat Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study contributes to understanding the role of workforce health on output growth and the convergence process in 38 OECD members and 58 low-income countries over a 65-year period. Empirical findings based on system GMM estimations show that (i) year gains in the longevity of the younger workforce at ages 15 to 20 have significant effects on economic growth, (ii) after age 20, the rate of convergence slightly decreases with rising age, (iii) increases in adult mortality adversely affect output growth through the loss of human capital productive ages and the decreases in the incentives to invest in physical capital, and (iv) the growth-enhancing effects of the savings rate considerably rises with increasing age in OECD countries but not in low-income countries. The findings of the study provide valuable insights into the critical role that policy can play in promoting workforce health, ultimately productivity, and long-run economic growth. [ABSTRACT FROM AUTHOR]

The growth theories preceding the endogenous growth theories assume that firms do not have the resources to devote to technology development because of full competitive conditions. While there is a consensus in the these theorems that technological development is the engine of growth; Lucas (1988)'s "Endogenous Growth Model Based on Human Capital", explains technological progress and economic growth with human capital. In a significant part of the empirical studies, it has been concluded that the effect of human capital on economic growth is positive. However, there are results that the increase in human capital has no effect on economic growth. Economic growth instability, which began after the "2008 global crisis", still continue. Based on this situation, it has become very important to determine the long-term impact of human capital on economic growth in Fragile Five countries. In this study, the effect of human capital on economic growth between 1987-2019 in terms of Fragile Five economies was estimated using the panel data method. The findings obtained reveal that human capital plays an important role in order for these countries to increase their economic growth. In this context, human capital has an important role in raising the economic growth of these countries. [ABSTRACT FROM AUTHOR]

The industrial sector has a crucial position in the economic growth process. However, industrial production falls before reaching the desired level, and countries abandon the objective of industrialization at an early stage. The transformation of agricultural economies into industrial economies over time is the first step in the development of the three-sector theory. It is argued that economic growth will occur as a result of the formation of a country's physical capital accumulation. In this framework, the Kaldor hypothesis was investigated by many researchers. In this study, it has been investigated how and in what way the industrial value-added will be affected by physical and human capital accumulation. For this purpose, as a result of the "Driscoll-Kraay Standard Error Estimator" obtained from the annual data of 34 OECD countries for 1996 and 2018, it was found that the improvements in physical capital increase the industrial value-added. On the other hand, it was concluded that the increase in human capital expenditures decrease the share of the industrial sector. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Journal of Social Research / Turkiye Sosyal Arastirmalar Dergisi is the property of Turkish Journal of Social Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

It has been frequently argued in the economics literature recently that physical and human capital is not only sufficient for sustainable growth, but incentive institutions and innovations play an important role in ensuring sustainable growth. In addition, studies proves that the factors that reveal innovation and lead to the spread of innovation are not independent of the institutional structures of countries. The aim of this study is to analyze the effects of institutional structure and innovations on economic growth for country groups with different levels of innovation. In the study, in which panel data analysis method was used, 15 countries with efficiency-driven and 24 countries with innovation-driven were included in the analysis during the 2003-2016 period. In the classification of countries, the Global Competitiveness Index prepared by the World Economic Forum has been considered. The findings show that institutional structure and innovations affect positively economic growth. However, the effect of innovation on economic growth was found to be higher in economies with efficiency-driven countries. This result reveals that policy implementers who want to make sustainable growth should consider the country-specific factors and support the encouraging institutional structure in order to benefit more from the positive effects of innovation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Social Policy Studies / Sosyal Politika Çalismalari Dergisi is the property of Journal of Social Policy Studies / Sosyal Politika Calismalari Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The relationship of human capital with economic growth is a research topic that has been frequently studied in recent years. Human capital contains a basic need indicator such as health. The high level of health of individuals who make up a society increases the economic development potential of that society. Health expenditures to raise healthy individuals and maintain their health levels are among the factors that increase the quality of human capital. The positive contributions of health expenditures to human capital constitute a serious resource for economic growth. This study examines the relationship between healthcare spending and economic growth for selected 17 OECD countries. In the empirical analysis conducted, per capita health expenditures and GDP per capita data were used for the mentioned countries in the period covering 1976-2017. Data for the health expenditure series has been compiled from the OECD official database. Economic growth data were obtained from the World Bank official database. The hidden cointegration relationship between the series was tested with the test proposed by Hatemi-J (2018). While the series did not have a long term relationship among themselves, a long term relationship was found between positive and negative shocks. In addition, the asymmetric causality relationship of the series was tested and a bidirectional causality relationship was detected between the negative shocks of the series. [ABSTRACT FROM AUTHOR]

The capacity and level of health services of a country, together with education shape human capital and workforce quality. Health expenditures contribute to the enhencement of growth performance through access to health care. In this study, the causality relationship between health expenditures and economic growth is examined for 17 OECD countries in the period of 2000-2017. The data on the variables is analyzed using Konya (2006) causality test. With the results obtained for Denmark, Germany and Sweden, one-way causality relationship was determined from economic growth to health expenditures, wheras, for Belgium, Greece, Iceland, Italy, Luxembourg, Netherlands and Portugal, one-way causality relationship from health expenditures to growth was observed. For Austria, Switzerland, Ireland and Turkey, a bidirectional causality relationship detecteed between the variables. Across the panel, it was found that there is a two-way causality relationship between health expenditures and economic growth. Resources devoted to health expenditures support growth potential by improving growth performance, human quality of life and human capital. Thus, it provides the opportunity to allocate more resources for health, thanks to increasing national income. [ABSTRACT FROM AUTHOR]

In this study; human capital, innovation and economic growth for Turkey's economy were investigated by time series analysis methods using the 1995-2018 period annual data. Real GDP per capita representing economic growth was taken as a dependent variable, domestic patent registration numbers representing innovation from independent variables, and students graduating from higher education representing the human capital variable. Besides, variables of labor and capital investments, which are considered as indicators of growth, are also included in the model. Extended Dickey-Fuller and Phillips- Perron unit root tests in determining the stability of variables, Johansen cointegration analysis in determining long term relationship, the existence of a cointegration relationship between variables, were used. Granger causality analysis was used to determine the causality relationship. As a result of the analyzes applied to the model, it was determined that there is a cointegration relationship between the variables. It has been observed that human capital and innovation have no effect on economic growth in the short term, but they have a positive effect in the long term, and capital investments and workforce affect economic growth both in the short and long term. As a result of the Granger causality analysis, bidirectional causality relationships between capital investments and economic growth, from the workforce to economic growth, from the workforce to capital investments, from human capital to innovation, were determined. [ABSTRACT FROM AUTHOR]

Health is expressed as an affecting factor of economic growth, which is one of the human capital factors. The improvement in health level with the increase in population, education, labor productivity, lifetime and life quality, may have a decisive effect on economic stability and growth by preventing future diseases. Although there is mostly a two-way relationship between health and economic growth in the findings of researches, some studies find no relationship. Different findings may be due to the neglect of health policy differences between countries in studies. Unlike previous studies in the literature, this study explores the impact of health on economic growth in all provinces of a country where the same health policy is applied with the panel data analysis method. For this purpose, covering the 2007-2017 period, the model including the variables that the gross domestic product, public investment, exports, imports, the infant mortality rate, the number of hospital beds, the number of people graduated from high school and the number of people has a bachelor's degree for all provinces in Turkey was estimated by the system GMM analysis. According to the findings, Turkey's health variables; 1% reduction in infant mortality rate causes an increase of 0.03% on GDP, 1% increase in the number of hospital beds causes an increase of 0,16% on GDP. The education variables, however, contribute to economic growth more than health variables, it is an undeniable fact that health is a prerequisite for education and economic growth. In this context, policy makers should pursue policies to improve individual and community health. [ABSTRACT FROM AUTHOR]