Health Human Capital Investment and Economic Growth

Zheng, Lili; Liu, Yuan

doi:10.47577/tssj.v8i1.707

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…Hence, health has a direct and positive utility function of employee welfare. The theory also suggests that health is human capital (Zheng and Lu, 2020). With good health, employees will have more sick free days, therefore, available for work.…”

Section: Methodsmentioning

confidence: 99%

Financing employee healthcare: fusing the preferences of employees in decision-making

Ochieng'a

Ogada

2021

IJWHM

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Purpose Good health is important for the happiness and productivity of employees of any organization and a nation. With the declining government funding for public Universities in Kenya, providing health cover for employees is a real challenge. Thus, the universities have to explore widely acceptable and sustainable options. This study aims to explore the correlations of employee preferences for health care schemes and evaluated the cost implications of each of the available Schemes.Design/methodology/approach The study applied a multinomial probit analysis on cross-sectional data from Taita Taveta University (TTU) in Kenya's coastal region. Cost-benefit analysis was used to rank alternative healthcare schemes. For triangulation of information, individual interviews were supplemented with key informant interviews.Findings Two sets of factors, personal attributes of employees and the attributes of the health care provider, were found to drive employee preferences for health care schemes. Thus, the universities need to consider these attributes in their choice sets of health care schemes to gain employee support.Research limitations/implications The study was based on a cross-sectional survey that may not capture the dynamic elements in institutional management. Thus, future research may build panel data on the current one for further analysis.Practical implications The study found that household characteristics and the perceived attributes of the healthcare providers are key drivers of the preferences. Thus, it is important to consider the characteristics of the employees (for example, age, family sizes, etc.) and attributes of healthcare providers before selecting a healthcare scheme for the workersOriginality/value This is a pioneer study on the choice of healthcare scheme for institutions of higher learning in Kenya. Universities are made aware of what informs employee's preferences for health schemes. This is important for tailoring health care schemes to match employee preferences for greater satisfaction.

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Section: Methodsmentioning

confidence: 99%

Financing employee healthcare: fusing the preferences of employees in decision-making

Ochieng'a

Ogada

2021

IJWHM

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Modelling a human capital of an economic system with neural networks

Ketova

Vavilova

2020

J. Phys.: Conf. Ser.

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In the paper, a problem of modelling size, structure and dynamics of a human capital is solved. The research object is an economic system. The subject is a practice of applying neural networks to socio-economic parameters modelling, specifically a human capital. The objective of the paper is to build an adapted neural network algorithm with the purpose of modelling the parameter being studied. Two human capital components are estimated; these are its quantitative and qualitative properties. The key element of a quantitative property (namely, the population reproduction) has a bearing on stability of a human capital development. The quantitative property is multifold: its aspects are healthcare, culture, education and science. To estimate a human capital structure, a population is being divided onto social clusters on the basis of these aspects. As a part of the study, it was found that such mathematical modelling instrument as neural networks is very suitable for conducting a cluster analysis of a given social system. Neural networks are effective means to solve poorly formalized problems; they are tolerant to frequent changes of an environment and can be used to process a vast set of contradictive or incomplete data. The data base comprises demographic data, volume of investments into qualitative human capital properties, and socio-economic development indicators of a given economic system. A gradation of demographic elements of the society based on physical condition and cultural and educational level is built, according to which a statistical data is gathered to solve the clusterization problem. A volume of investment into a human capital is defined by budgetary costs and private investments of the people. Modelling human capital investment dynamics is performed with neural networks being applied as well. The neural network model used herein is a multilayer perceptron with sigmoid logistic activation function. Neural network modelling of predicted values of investment volumes has proved its effectiveness. An estimation of a human capital for the period of 2000-2019, as well as its forecast for years 2020-2025, is exemplified by Russian economic system. Calculations showed that the indicator being studied has been demonstrating the biggest growth rates since 2013, with an ongoing growth to be expected. Evaluated results correlate with a Russian human capital index dynamic pattern, which is defined by UN specialists, qualitatively. A proposed method of a human capital prognosis and estimation can be used furthermore to compare and estimate socio-economic state of Russia’s regions.

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Features of the Influence of Human Capital on Economic Development: The Case of Ukraine

Zolkover

Капліна

Лобода

et al. 2021

JEECAR

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The purpose of this article is to substantiate the nature of the relationship between the development of human capital (HC) and the development of the economy of Ukraine. Using the Granger test and cognitive modeling, the features of the development of HC in modern conditions and its influence on the country's economic development have been determined, and the dominant factors influencing the development and quality of HC have been empirically substantiated. The ambiguous nature of the influence of HC on the country's economy due to the inefficiency of spending in the field of education and health care has been established using the impulse modeling method. The positive impact of the development of HC on the development of the economy is leveled with the growth of investment in education and health care, which is due to the low efficiency of expenditures and the insufficient level of competence of state bodies.

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Health Human Capital Investment and Economic Growth

Cited by 4 publications

References 4 publications

Financing employee healthcare: fusing the preferences of employees in decision-making

Financing employee healthcare: fusing the preferences of employees in decision-making

Modelling a human capital of an economic system with neural networks

Features of the Influence of Human Capital on Economic Development: The Case of Ukraine

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