This study exploits the correlation between Yellow River flooding and human capital accumulation using county-level data from Anhui, Hebei, Henan, Jiangsu, and Shandong provinces in China. Employing a spatial regression discontinuity approach, we compare the differences in human capital accumulation within and beyond the Yellow River floodplain areas (YRFA). Empirical results show human capital accumulation in the YRFA is at least 12.1 percent lower than outside the YRFA. Furthermore, our results demonstrate intergenerational transmission and gender differences in the negative impact of the Yellow River flooding on human capital accumulation. The baseline specifications of this study are not affected by drought and overall natural disasters. This paper documents historical human capital accumulation, clan power, and social trust, through which Yellow River flooding has a long-term impact.

This paper proposes a dynamic model to capture the interaction among the environment, human capital accumulation, and economic growth. We emphasize the mechanism that pollution stock depresses human capital accumulation, which has received increasing support from empirical studies. The model predicts that the development of pollution-intensive industries can help an economy gear up a short-run prosperity, but it impairs the capability for long-run economic growth, trapping the economy at a low development level. The cost for a dirty economy to switch is expensive and even infeasible if the environmental degradation is irreversible. Policy interventions, such as tax on pollution and subsidy on human capital, can help alleviate but cannot eradicate the economic stagnation.

According to the conventional theory of the demographic transition, mortality decline has represented the major trigger of fertility decline and sustained economic development. In Sub-Saharan Africa (SSA), the HIV/AIDS epidemic has had a devastating impact on mortality, dramatically reversing the long-term positive trend in life expectancies in high HIV-prevalence countries. Moreover, SSA is experiencing a delayed and slower fertility transition compared to other world regions and there is growing empirical evidence highlighting the potential for a paralysis, or even a reversal, of the fertility transition in countries with severe HIV epidemics. This work builds on a unified growth theory-like general equilibrium model combined with HIV spread, where mortality endogenously feeds back into fertility and education decisions. The model supports the evidence of an HIV-triggered fertility reversal in SSA via the fall in education and human capital investments due to increased adult mortality, which eventually breaks the switch from quantity to quality of children. Fertility reversal is predicted to be more likely to occur in countries experiencing severe HIV epidemics, and its effects may persist even under successful scenarios of HIV control. These results suggest that the alarming possibility of a paralysis in the fertility transition, which so far has aroused little concern among international organizations, e.g., in the last round of UN population projections, should be seriously considered with a view to prioritizing policy interventions.

In order to credibly “sell” legitimate children to their spouse, women must forego more attractive mating opportunities. This paper derives the implications of this observation for the pattern of matching in marriage markets, the dynamics of human capital accumulation, and the evolution of the gene pool. A key consequence of the trade-off faced by women is that marriage markets will naturally tend to be hypergamous – that is, a marriage is more likely to be beneficial to both parties relative to remaining single, the greater the man’s human capital, and the lower the woman’s human capital. As a consequence, it is shown that the equilibrium can only be of two types. In the “Victorian” type, all agents marry somebody of the same rank in the distribution of income. In the “Sex and the City” (SATC) type, women marry men who are better ranked than themselves. There is a mass of unmarried men at the bottom of the distribution of human capital, and a mass of single women at the top of that distribution. It is shown that the economy switches from a Victorian to an SATC equilibrium as inequality goes up.

The model sheds light on how marriage affects the returns to human capital for men and women. Absent marriage, these returns are larger for women than for men but the opposite may occur if marriage prevails. Finally, it is shown that the institution of marriage may or may not favour human capital accumulation depending on how genes affect one’s productivity at accumulating human capital.

Human capital is embodied in people of different generations whose lifetimes are finite. We show that the finiteness of people's lives precludes human capital accumulation from driving long-run aggregate economic growth unless sufficiently strong externalities from aggregate human capital are introduced. Two possible channels for carrying forward such externalities are (i) knowledge spillovers and (ii) public education spending. Our findings shed new light on the foundations of the Uzawa–Lucas growth model. We also show that the cross-sectional Mincer equation, generated by a linear human capital accumulation equation at the individual level, does not carry forward to aggregate data.

We develop a simple open-economy growth model in which productivity growth and education influence each other, and use it to empirically address issues of causality between them. Technology adoption fostered by human capital and economic openness determines productivity growth; the framework allows us to evaluate whether the effects of these two variables on growth documented in previous cross-country regression studies carry over to a simultaneous system closely allied to a model. This model implies that an increase in openness will stimulate technical change but, for empirically plausible values of the intertemporal elasticity of substitution, it will cause a decrease in the level of education. The empirical analysis specifies productivity growth and human capital as endogenous variables and finds evidence broadly consistent with the theory—openness and education stimulate productivity growth, and there is a negative effect of this growth on human capital accumulation.