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

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.

What makes cities healthy ?

The benefits of good health to individuals and to society are strongly positive and improving the health of the poor is a key Millennium Development Goal. A typical health strategy advocated by some is increased public spending on health targeted to favor the poor and backed by foreign assistance, as well as by an international effort to perfect drugs and vaccines to ameliorate infectious diseases bedeviling the developing nations. But if the objective is better health outcomes at the least cost and a reduction in urban health inequity, the authors'research suggests that the four most potent policy interventions are: water and sanitation systems; urban land use and transport planning; effective primary care and health programs aimed at influencing diets and lifestyles; and education. The payoff from these four in terms of health outcomes dwarf the returns from new drugs and curative hospital-based medicine, although these certainly have their place in a modern urban health system. And the authors find that the resource requirements for successful health care policies are likely to depend on an acceleration of economic growth rates which increase household purchasing power and enlarge the pool of resources available tonational and subnational governments to invest in health-related infrastructure and services. Thus, an acceleration of growth rates may be necessary to sustain a viable urban health strategy which is equitable and to ensure steady gains in health outcomes.Health Monitoring&Evaluation,Population Policies,Housing&Human Habitats,Health Economics&Finance,Health Systems Development&Reform

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

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

Universities and Innovation Potential of the City: A Quasi-Experimental Study of Newly Built Campuses of Colleges and Universities in China

Colleges and universities have been playing an increasingly important role in regional innovation-driven development. Based on panel data (1999-2016) of 287 cities in China, this study conducted an empirical analysis of the influences of the new campuses which were built for the expanded college enrollment on the city’s patentable inventions and innovations. The Time-varying DID model was adopted in the analysis. The regression results demonstrate that newly built campuses have boosted inventions and innovations in their cities, benefiting various innovators including individuals and firms; that the impact of newly built campuses increases over time; the newly built campuses of vocational colleges have mainly influenced innovation actors like businesses, while those of regular colleges and universities have impacted both individuals and organizations; that the new campus built in the different city from its headquarter exerts greater promoting effects on the innovation of the city than the campus relocated in the original city and the campus of a newly established university; that the indirect effect of newly built campuses on the invention of all innovation actors is more significant than the impact of their direct collaboration with the latter; that a newly built campus have a more prominent effect on regional innovation when it is situated in an area with a high concentration of universities; and that the existence of the old campus of a university amplifies the promoting effect of its newly built campus on local innovation and the amplifying function strengthens over time

One Size Does Not Fit All: Stunting and Social Protection in Rural Tanzania?

Nutrition has featured prominently in Tanzania's quest for prosperity and development. Malnutrition was identified as one of the big three enemies of the people alongside poverty and ignorance in the 1967 Arusha Declaration which set out the vision and direction for Tanzania's development in the following two decades. The Iringa Nutrition Project initiated by Tanzania Food and Nutrition Council (TFNC) under WHO/UNICEF support between 1979 and 1992 not only reduced prevalence of underweight from 56% to 38% in five years (TFNC, 2004) but also facilitated the development of the UNICEF conceptual framework of malnutrition and greatly influenced the global thinking on how to improve nutritional wellbeing in developing countries

Designing a flexible supply chain for new product launch

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.Includes bibliographical references (leaves 55-56).This thesis examines how companies tactically design flexible supply chains for new product launches. The research focus is on different strategies and tactics used by original equipment manufacturers to improve supply chain flexibility through their engagement with contract manufacturers. Five case studies regarding successful product launches were documented and analyzed, and the successful strategies and tactics were then categorized according to the characteristics of the situation. Finally, the findings from the analysis were applied to a startup company to develop its contract manufacturing engagement plan.by Wai-Kwan Benjamin Ha.M.Eng.in Logistic

Energy Efficient Dynamic Cluster Algorithm for Ad-Hoc Sensor Networks

An important issue in ad hoc sensor networks is the limited energy supply within network nodes. Therefore, power consumption is crucial in the routing design. Cluster schemes are efficient in energy saving. This paper proposes a new algorithm called dynamic cluster in which energy in the entire network is distributed and unique route from the source to the destination is designed. In this algorithm, energy efficiency is distributed and improved by (1) optimizing the selection of clusterheads in which both residual energy of the nodes and total power consumption of the cluster are considered; (2) optimizing the number of nodes in the clusters according to the size of the networks and the total power consumption of the cluster; (3) rotating the roles of clusterheads to average the power consumption among clusterheads and normal nodes; and (4) breaking the clusters and reforming them to compensate the difference of the power consumption in different area. Energy efficiency is also improved by defining a unique route to reduce flooding in route discovery and to avoid duplicate data transmission by multiple routes