This paper offers an empirical examination of the relationship between government spending’s, income inequality, and economic growth by using the case of 19 Asian countries from 2002 to 2017. For this purpose, the paper uses robust difference-GMM estimation and panel granger causality test. We found that gross domestic investment and regulatory quality are the main variables that contribute to these countries’ economic growth. While current government consumption reduces economic growth. Also, government expenditure on education and regulatory quality granger cause economic growth in these countries. However, the effect of government expenditure on education on economic growth is not significant. So, to increase their economic growth, this study recommends these countries’ governments to encourage gross domestic investment, maintain regulatory quality and reduce their current consumption. This study also concludes that income inequality has no impact on these countries’ economic growth for this period.
1 May 2019 in International Journal of Economics and Financial Issues
This paper aims to analyze the factors affecting domestic value added in exports for seven Latin American countries (LAC) with a focus on the role played by foreign inputs. By using panel data (1995-2016) with fixed effects model, the paper finds that foreign value added (FVA) in exports is a strong determinant of positive changes in domestic value added exports in Latin America. The paper also finds that institutions, tariffs and labor productivity are important determinants of changes in DVA in exports. Additionally, a sectoral analysis reveals the positive effect of FVA in exports on changes in DVA in exports in three sectors: agriculture, manufacture and services. However, FVA in exports has no significant effect on DVA in exports in the mining sector. Overall, our results suggest countries to lower tariffs, to adopt policies that enhance the import of sophisticated intermediates inputs and to promote favorable business environment. Keywords: Value Added Exports, Global Value Chains, Latin America. JEL Classifications: F13, F14, N16, P33 DOI: https://doi.org/10.32479/ijefi.8059