Measuring the Contribution of Human Health Capital Using the IEPSVAR System
Abstract
Extensive and rapid economic development has brought serious threats to public health, and positive effect of human health capital on economic growth has been questioned. When calculating the GDP, the explicit cost of the resources should not be the only thing taken into account; the implicit health cost is another factor that should be considered. This paper constructs the group panel SVAR system with interaction effects to measure the contribution margin and dynamic trend of the human capital’s health input in different urban and rural regions of China. The results show that the health GDP path in the eastern region is around 1.73% lower than the real path, while most contribution margin of the health input are negative in the
central and western regions, and the health GDP is about 3.82% higher than the real path. The health GDP path in the rural middle region is about 2.25% lower than the real path, while the health GDP path in the western and eastern China is about 2.69% higher than the real path. Institutional changes have showed competitiveness in improving the health between urban and rural areas, especially before 2010, suggesting that the social health care system is still relatively inadequate.
Keywords: health human capital, health GDP, contribution margin, institutional evolution, group effect
Cite As
X. Ma, H. Li, "Measuring the Contribution of Human Health Capital Using the IEPSVAR System",
Engineering Intelligent Systems, vol. 31 no. 6, pp. 457-466, 2023.