Existing studies that evaluate the impact of pollution on human beings understate its negative effect on cognition, mental health, and happiness. This paper attempts to fill in the gap via investigating the impact of air quality on subjective well-being using China as an example. By matching a...

The effect of early exposure to malnutrition on the next generation’s cognitive abilities has rarely been studied in human beings in large part due to lack of data. A natural experiment, the Great Chinese Famine, and a novel dataset are employed to study this effect. The paper finds that the...

This paper offers one of the first evidence in a developing country context that transitory exposure to high temperatures may disrupt low-stakes cognitive activities across a range of age cohorts. By matching eight years of repeated cognitive tests among all the participants in a nationally...

It has been widely observed that China is under-urbanized. The central government has tried to use various policies to promote urbanization. In this paper, we evaluate one of these policies – count-to-city upgrading. Under China’s hierarchical governance structure, a city status can only be...

In this paper, we investigate the relationship between foreign aid and growth using recently developed sample splitting methods that allow us to uncover evidence for the existence of heterogeneity and nonlinearity simultaneously. We also implement a new methodology that allows us to deal with...

An industrial cluster is a locality with a high concentration of firms in related businesses. Although relatedness and concentration are the two defining features of an industrial cluster, the commonly used measures of clustering often fail to simultaneously capture both dimensions. Based on the...

This study develops a new analytical framework to account for sources of rapid economic growth in China. The traditional Solow approach is expanded to include another source of economic growth - structural change. The empirical results show that structural change has contributed to growth...

Purpose The purpose of this study is to forecast the development performance of important economies in a smart city using mixed-frequency data. Design/methodology/approach This study introduces reverse unrestricted mixed-data sampling (RUMIDAS) to support vector regression (SVR) to develop a...