Internal Migration and Income Inequality in China: Evidence from Village Panel Data

Existing studies on the impact of migration on income inequality at sending communities suffer from severe methodology defects and data limitations. This paper analyzes the impact of rural-to-urban migration on inequality using a newly constructed panel dataset for around 100 villages over a ten-year period from 1997 to 2006 in China. To our best knowledge, this is the first paper that examines the dynamic aspects of migration and income inequality employing a dynamic panel data analysis. Unlike earlier studies focusing exclusively on remittances, our data include the total labor earnings of migrants in destination areas. Furthermore, we look at the gender dimension of the impact of migration on wage inequality within the sending communities. Since income inequality is time-persisting, we use a system GMM framework to control for the lagged income inequality in estimating the effect of emigration on income inequality in the sending villages. At the same time, contemporary emigration is validly instrumented in the GMM framework because of the unobserved time-varying community shock that correlates with emigration and income inequality, as well as with the potential reverse causality from income inequality to emigration. We found a Kuznets (inverse U-shaped) pattern between migration and income inequality in the sending communities. Specifically, contemporary emigration increases income inequality, while lagged emigration has strong income inequality-reducing effect in the sending villages. A 50-percent increase in the lagged emigration rate translates into one-sixth to one-seventh standard deviation reduction in inequality. Contemporary emigration has slightly smaller effects in raising the income inequality within villages. These effects are robust to the different specifications and different measures of inequality. More interestingly, the estimated relationship between emigration and the gender wage gap also has an inverse U-shaped pattern. Emigration tends to increase the gender wage gap initially, and then tends to decrease it in the sending villages.Internal Migration; Inequality; System GMM.

Estimating the Effect of the One-Child Policy on Sex Ratio Imbalance in China: Identification Based on the Difference-in-Differences

In China, the male-biased sex ratio has increased significantly. Because the one-child policy only applied to the Han Chinese but not to minorities, this unique affirmative policy allows us to identify the causal effect of the one-child policy on the increase in sex ratios by a difference-in-differences (DD) estimator. Using the 1990 census, we find that the strict enforcement of the one-child policy has led to 4.4 extra boys per 100 girls in the 1980s, accounting for about 94% of the total increase in sex ratios during this period. The robust tests indicate that the estimated policy effect is not likely confounded by other omitted policy shocks or socioeconomic changes. Moreover, we conduct the DD estimation using both the 2000 census and the 2005 mini-census. Our estimates suggest that the one-child policy has resulted in about 7.0 extra boys per 100 girls for the 1991-2005 birth cohort. The effect of the one-child policy accounts for about 57% and 54% of the total increases in sex ratios for the 1990s and the 2001-2005 birth cohorts, respectively.one-child policy, sex ratio imbalance, difference-in-differences estimator

Brain Drain, Brain Gain, and Economic Growth in China

This paper examines the effects of both permanent and temporary emigration on human capital formation and economic growth of the source regions. To achieve this end, this paper explores the Chinese provincial panel data from 1980 to 2005. First, the fixed effects model is employed to estimate the effect of emigration on school enrollment rates in the source regions. Relative to this aspect, we find that the magnitude (scale) of permanent emigrants (measured by the permanent emigration ratio) is conducive to the improvement of both middle and high schools enrollments. In contrast, the magnitude of temporary emigrants has a significantly positive effect on middle school enrollment but does not have a significant effect on high school enrollment. More interestingly, different educational attainments of temporary emigrants have different effects on school enrollment. Specifically, the share of temporary emigrants with high school education positively affects middle school enrollment, while the share of temporary emigrants with middle school education negatively affects high school enrollment. Second, the instrumental variable method is applied to estimate the effect of emigration on economic growth within the framework of system Generalized Method of Moments (GMM). The estimation results suggest that both permanent and temporary emigrations have a detrimental effect on the economic growth of the source regions. Our empirical tests provide some new evidence to the "brain drain" debate, which has recently received increasing attention.Brain drain, human capital, emigration, economic growth

Inequality and Internal Migration in China: Evidence from Village Panel Data

This paper analyzes the impact of rural-to-urban migration on income inequality and gender wage gap in source regions using a newly constructed panel dataset for around 100 villages over a ten-year period from 1997 to 2006 in China. Since income inequality is time-persisting, we use a system GMM framework to control for the lagged income inequality, in which contemporary emigration is also validly instrumented. We found a Kuznets (inverse U-shaped) pattern between migration and income inequality in the sending communities. Specifically, contemporary emigration increases income inequality, while lagged emigration has strong income inequalityreducing effect in the sending villages. A 50-percent increase in the lagged emigration rate translates into one-sixth to one-seventh standard deviation reduction in inequality. These effects are robust to the different specifications and different measures of inequality. More interestingly, the estimated relationship between emigration and the gender wage gap also has an inverse Ushaped pattern. Emigration tends to increase the gender wage gap initially, and then tends to decrease it in the sending villages.Internal Migration; Inequality; System GMM

Brain Drain, Brain Gain and Economic Growth in China

This paper examines the effects of both permanent and temporary emigration on human capital formation and economic growth of the source regions. To achieve this end, this paper explores the Chinese provincial panel data from 1980 to 2005. First, the fixed effects model is employed to estimate the effect of emigration on school enrollment rates in the source regions. Relative to this aspect, we find that the magnitude (scale) of permanent emigrants (measured by the permanent emigration ratio) is conducive to the improvement of both middle and high schools enrollments. In contrast, the magnitude of temporary emigrants has a significantly positive effect on middle school enrollment but does not have a significant effect on high school enrollment. More interestingly, different educational attainments of temporary emigrants have different effects on school enrollment. Specifically, the share of temporary emigrants with high school education positively affects middle school enrollment, while the share of temporary emigrants with middle school education negatively affects high school enrollment. Second, the instrumental variable method is applied to estimate the effect of emigration on economic growth within the framework of system Generalized Method of Moments (GMM). The estimation results suggest that both permanent and temporary emigrations have a detrimental effect on the economic growth of the source regions. Our empirical tests provide some new evidence to the "brain drain" debate, which has recently received increasing attention.Brain drain, human capital, emigration, economic growth

Government management capacities and the containment of COVID-19: A repeated cross-sectional study across Chinese cities

Objectives Better understanding of the dynamics of the COVID-19 (2019 novel coronavirus disease) pandemic to curb its spread is now a global imperative. While travel restrictions and control measures have been shown to limit the spread of the disease, the effectiveness of the enforcement of those measures should depend on the strength of the government. Whether, and how, the government plays a role in fighting the disease, however, has not been investigated. Here, we show that government management capacities are critical to the containment of the disease.Setting We conducted a statistical analysis based on cross-city comparisons within China. China has undergone almost the entire cycle of the anticoronavirus campaign, which allows us to trace the full dynamics of the outbreak, with homogeneity in standards for statistics recording.Primary and secondary outcome measures Outcome measures include city-specific COVID-19 case incidence and recoveries in China.Results The containment of COVID-19 depends on the effectiveness of the enforcement of control measures, which in turn depends on the local government’s management capacities. Specifically, government efficiency, capacity for law enforcement, and the transparency of laws and policies significantly reduce COVID-19 prevalence and increase the likelihood of recoveries. The organisation size of the government, which is not closely related to its capacity for management, has a limited role

Internal Migration and Income Inequality in China: Evidence from Village Panel Data

Existing studies on the impact of migration on income inequality at sending communities suffer from severe methodology defects and data limitations. This paper analyzes the impact of rural-to-urban migration on inequality using a newly constructed panel dataset for around 100 villages over a ten-year period from 1997 to 2006 in China. To our best knowledge, this is the first paper that examines the dynamic aspects of migration and income inequality employing a dynamic panel data analysis. Unlike earlier studies focusing exclusively on remittances, our data include the total labor earnings of migrants in destination areas. Furthermore, we look at the gender dimension of the impact of migration on wage inequality within the sending communities. Since income inequality is time-persisting, we use a system GMM framework to control for the lagged income inequality in estimating the effect of emigration on income inequality in the sending villages. At the same time, contemporary emigration is validly instrumented in the GMM framework because of the unobserved time-varying community shock that correlates with emigration and income inequality, as well as with the potential reverse causality from income inequality to emigration. We found a Kuznets (inverse U-shaped) pattern between migration and income inequality in the sending communities. Specifically, contemporary emigration increases income inequality, while lagged emigration has strong income inequality-reducing effect in the sending villages. A 50-percent increase in the lagged emigration rate translates into one-sixth to one-seventh standard deviation reduction in inequality. Contemporary emigration has slightly smaller effects in raising the income inequality within villages. These effects are robust to the different specifications and different measures of inequality. More interestingly, the estimated relationship between emigration and the gender wage gap also has an inverse U-shaped pattern. Emigration tends to increase the gender wage gap initially, and then tends to decrease it in the sending villages

Brain Drain, Brain Gain, and Economic Growth in China

This paper examines the effects of both permanent and temporary emigration on human capital formation and economic growth of the source regions. To achieve this end, this paper explores the Chinese provincial panel data from 1980 to 2005. First, the fixed effects model is employed to estimate the effect of emigration on school enrollment rates in the source regions. Relative to this aspect, we find that the magnitude (scale) of permanent emigrants (measured by the permanent emigration ratio) is conducive to the improvement of both middle and high schools enrollments. In contrast, the magnitude of temporary emigrants has a significantly positive effect on middle school enrollment but does not have a significant effect on high school enrollment. More interestingly, different educational attainments of temporary emigrants have different effects on school enrollment. Specifically, the share of temporary emigrants with high school education positively affects middle school enrollment, while the share of temporary emigrants with middle school education negatively affects high school enrollment. Second, the instrumental variable method is applied to estimate the effect of emigration on economic growth within the framework of system Generalized Method of Moments (GMM). The estimation results suggest that both permanent and temporary emigrations have a detrimental effect on the economic growth of the source regions. Our empirical tests provide some new evidence to the "brain drain" debate, which has recently received increasing attention

Internal Migration and Income Inequality in China: Evidence from Village Panel Data

Existing studies on the impact of migration on income inequality at sending communities suffer from severe methodology defects and data limitations. This paper analyzes the impact of rural-to-urban migration on inequality using a newly constructed panel dataset for around 100 villages over a ten-year period from 1997 to 2006 in China. To our best knowledge, this is the first paper that examines the dynamic aspects of migration and income inequality employing a dynamic panel data analysis. Unlike earlier studies focusing exclusively on remittances, our data include the total labor earnings of migrants in destination areas. Furthermore, we look at the gender dimension of the impact of migration on wage inequality within the sending communities. Since income inequality is time-persisting, we use a system GMM framework to control for the lagged income inequality in estimating the effect of emigration on income inequality in the sending villages. At the same time, contemporary emigration is validly instrumented in the GMM framework because of the unobserved time-varying community shock that correlates with emigration and income inequality, as well as with the potential reverse causality from income inequality to emigration. We found a Kuznets (inverse U-shaped) pattern between migration and income inequality in the sending communities. Specifically, contemporary emigration increases income inequality, while lagged emigration has strong income inequality-reducing effect in the sending villages. A 50-percent increase in the lagged emigration rate translates into one-sixth to one-seventh standard deviation reduction in inequality. Contemporary emigration has slightly smaller effects in raising the income inequality within villages. These effects are robust to the different specifications and different measures of inequality. More interestingly, the estimated relationship between emigration and the gender wage gap also has an inverse U-shaped pattern. Emigration tends to increase the gender wage gap initially, and then tends to decrease it in the sending villages