This empirical study aims to investigate the effects of political instability on economic volatility and monetary policy conduct. The econometric methodology adopted is the Panel Auto-Regressive Distributed Lag (PARDL). The instability variable was…
This paper examines the impact of trade facilitation factors on trade flows, with a particular focus on Global Value Chains (GVCs) in the agricultural and manufacturing sectors. Using the structural gravity model of international and intra-national…
Purpose – Using panel data for the Regional Comprehensive Economic Partnership (RCEP) member states, the present study explored the role of RCEP negotiations on tourism development. Design/methodology/approach –Adynamic econometric model, namely the…
This paper analyzes the link between joining global value chains (GVCs) and firms’ environmental performance. Based on new survey data for firms in countries in Central Asia, Eastern Europe, and MENA, we use propensity score matching (PSM) to…
The COVID-19 pandemic and the slowdown in the global economy are hitting hard many African countries, especially those already struggling with the negative effects of climate change. In this context, transitioning towards a more ecologically…
The contribution of the tourism sector towards the development of host nations is undeniable in that it provides several benefits such as creation of employment, generation of added value and tax revenue, and boosting of inward foreign direct…
This study develops and tests a structural model that incorporates the determinants of SME financial performance in Mauritius. Data were collected from 384 tourism SME owners using a structured questionnaire. The results indicate that managerial…
This chapter analyses the impact of the internet on global value chains (GVCs) in Africa. We investigate the effect of internet adoption on forward participation and backward participation of African countries in GVCs. We conduct the estimations…
This study empirically confirms expected impact of COVID-19 related perceived travel risk on the likelihood of tourists to visit a destination. It then aims at identifying the key predictors of perceived travel risk in the aftermath of the COVID-19…