Developing countries face a significant challenge in sustaining their demographic dividend. However, there are few existing studies that approach this issue from a macroeconomic perspective or through empirical research. This paper aims to systematically analyze the impact of the demographic dividend and education dividend on economic growth. By utilizing China’s empirical evidence and employing the System GMM method, we explore how to improve both dividends. Our main findings can be summarized into three aspects. First, the demographic dividend does not depend on population size alone but also on the size of the labor force. Second, education can improve the demographic dividend and thereby prove the existence of an education dividend. Finally, the effects of the demographic and education dividends vary across regions and stages of development within developing countries. This research enriches the existing literature on education and population age in developing countries.

This paper focus on the quantitative measurement of public health systems and its mismatch with socio-economic development. Based on systematic theory, we divide the public health system into four sub-systems: resource inputs, planning in decision-making, operations, and service outputs. We also provide a method to analyse the ability to match between the public health system and social-economic development by using the grey correlation and coupling method. Then we introduce data from China as a case of empirical research. The main findings are as follows: (1) China’s public health system has progressed from 2012 to 2019, and the development of China’s public health system is typically “input-driven”. Second, the level of public health management in China lacks sustainability. (2) The main reason for this problem is the mismatch between the central and local governments in China in terms of public health management authority. (3) Third, the coupling between China’s public health system and socio-economics development has shown a decreasing trend, which indicates an increasingly significant mismatch problem between public health and economic growth, urbanization, and population aging. Our study will enrich the understanding of the relationship between the public health system and socio-economics development.