By using the combination of several regression techniques on panel data, this study explores the influence of human capital, institutional quality, and the Fourth Industrial Revolution on unemployment rates in 46 Asian countries during the period from 2007 to 2020. According to the generalized method of moments (GMM), there are a total of 9 factors affecting the unemployment rate in the researched model, including high-tech exports, inflation, population, gross domestic product, government spending, foreign debt, foreign direct investment, human capital, and institutions. This result confirmed that high-tech development increases unemployment in Asia; however, the nexus between human capital and institutional situation with the unemployment rate is different based on the particular fields. Moreover, some policy implications also have been suggested to reduce unemployment in Asian countries in the context of the Fourth Industrial Revolution.
This article aims to investigate how large shareholders affect the information environment, as measured by stock price synchronicity, of listed firms in the Vietnam stock exchanges. Upon applying fixed effects and instrumental variables fixed effects with firm-level clustered standard errors for a sample of 160 listed firms in the Vietnam stock exchanges over the period 2008–2017, the results show that stock price synchronicity is negatively associated with the two largest shareholders’ ownership and positively related to state ownership. The findings support that non-state large ownership plays an important role in improving the information environment in emerging markets where investor protection laws are relatively weak.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.