Suchergebnisse

This paper aims to explore the relationship between growth in economic sectors, especially manufacturing, service, and agriculture, towards income inequality. Furthermore, it utilizes panel data for low-middle income ASEAN countries. The result shows that the share of agricultural sector in GDP has a significant and negative relationship with income inequality. In fact, the effect is robust for the incorporation of control variables. Therefore, it underlines the importance of agricultural sector development for reducing inequality and also for fostering ASEAN economic integration.

The outbreak of the coronavirus disease in 2019 (COVID-19) wreaked havoc on the social, psychological, economic, and political buoyancy of all economic activities worldwide. The economic challenges caused by the interruption in worldwide economic activities significantly impacted remittances flow to low- and middle-income economies (LMIEs). This study used the past, present, and predicted remittances data of migration dynamics within countries to analyse the economic impact on remittances. Remittances to most LMIEs plunged during the pandemic intense period; however, the decline was temporary as the flows increased due to countrywide policies and individuals' emergent needs. The trend of economic contagion is fundamentally unique in that even the primary source of remittance sending nations have been greatly impacted. The global nature of this pandemic raises numerous questions, including whether the decline in remittances will continue for a short term or will last for an extended period to stagnate LMIEs. This current study's results reveal that while remittances flow to key recipient nations declined between 2019 and 2020, there has not been a sharp decrease and most of the nations were on the path of recovery in 2021. This study proposes that policymakers support remittances flow on a higher growth trend in successive years based on Sustainable Development Goals to attain global inclusive development. This research further recommends the adoption of higher technology transfer of remittances of migrant workers within the emerging and low- and middle-income economies.

This article explores the essential variables of economic complexity, innovation, and growth by researching the relationships between imperative economic indicators in selected high-income and upper middle-income economies. The economic complexity and innovation of the observed economies are robustly linked to their economic growth. The goal of this article is to investigate the significance of economic complexity and innovation in encouraging economic growth in high-income and upper middle-income economies. Miscellaneous methodological measurement instruments have been applied towards exploring the linkages between the crucial variables of economic complexity, innovation, and economic growth. The empirical data necessary for conducting this exploration were accumulated from primary and auxiliary sources. Analysis of the observed economies was performed using the statistical software package SPSS 25. The exploration results reveal the essential determinants of economic complexity and innovation for economic growth in selected countries. The interrelated determinants supervised for enhancing innovation and growth are linked to synthesized indicators of economic complexity. Confirmation of the heterogeneity between essential variables and awareness of sensitivity is the foundation for the subsequent acceptance of convenient economic complexity indicators for improvement of the critical fields of national economies.