Cushioning the Covid-19 Economic Consequences on Entrepreneurial Ecosystems: The Role of Stakeholders' Engagement, Collaboration, and Support

The Covid-19 (corona virus) disruptions have necessitated a new way of thinking about how entrepreneurship and its environments (ecosystems) function in times of heightened uncertainty. Based on a sample of 237 entrepreneurial ecosystem (EE) stakeholders in Tanzania – an emerging economy, we examine the pandemic economic consequences steered by government countermeasures on the EE-perceived quality and performance. We further examined the role played by EE stakeholders' engagement, collaboration, and support during the crisis. Our structural equation model results suggest that strictness of government counter measures for containment of the current pandemic predicament has a bearing on EE- perceived quality and performance by fueling EE vulnerability via amplifying the magnitude of the negative effects. We further find that stakeholders' engagement and collaboration play a significant role in improving the EE-perceived quality and slowing down EE-vulnerability. We conclude by providing the implications and avenues for future research. [ FROM AUTHOR] Copyright of Journal of African Business is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

High frequency volatility spillover between oil and non-energy commodities during crisis and tranquil periods.

In this article, we scrutinize volatility spillover between oil and individual non-energy commodities during crisis and non-crisis periods. We use high-frequency data to capture the effects of both the global financial crisis (2008) and the COVID-19 pandemic between 2008 and 2022. To this end, we utilize wavelet coherence analysis to diagnose the magnitudes of dynamic co-movements and lead-lag effects between commodities. Our results provide evidence of strong coherence between oil and the majority of individual non-energy commodities during both crises. Precious metals were generally found to exhibit heightened levels of co-movement with oil as opposed to other non-energy commodities. On the other hand, weak co-movements were found between oil and a few commodities, namely soy, wheat, zinc, and tin. The lead-lag effects of oil on agricultural commodities, base metals, and precious metals were evident, especially during crisis periods. However, aluminium and precious metals, especially gold, silver, and palladium, also had a lead-lag effect on oil at different points in time, including during the pandemic. We further utilize dynamic frequency-domain connectedness for capturing pairwise volatility spillover indices, with the results providing evidence of heightened volatility spillovers during turbulent times. Our findings have significant implications for retail investors, portfolio managers, and policymakers.

Asymmetric volatility spillover between hospitality sub-sectors during COVID-19: evidence from the USA

Purpose - This article examines dynamic volatility spillovers between stock index returns of four main hospitality sub-sectors in US during the coronavirus disease 2019 (COVID-19) pandemic. These are tourism and travel, hotel and lodging, recreational services and food and beverages. Volatility spillovers are explicitly used as accurate and informative proxies for risk contagion between sectors during turbulent times. Design/methodology/approach - The authors employ dynamic conditional correlation-generalized autoregression heteroskedasticity (DCC-GARCH) and wavelet coherence analysis (WCA) to analyze the phenomenon. The authors' timeframe is divided into three main sub-periods, namely the pre-pandemic, the first wave and the second wave periods. Findings - This study's results reveal immense negative shocks in returns of all four sub-sectors on the Black Monday (8th March 2020). Moreover, high volatility persistence was observed during both waves with an exception of tourism and travel which exhibited lower volatility persistence during the second wave. The authors discovered magnified contagion effects between tourism and travel, hotel and lodgment and recreational services during the first wave of the pandemic with tourism and travel being the main volatility transmitter. Lower magnitudes of spillovers were observed between food and beverages and other sub-sectors with a decoupling effect being evident during the second wave. Research limitations/implications -This study's findings contribute to the contagion theory by providing evidence of disproportional volatility spillover among hospitality sub-sectors despite being exposed to similar turbulent economic conditions. Practical implications - Crucial implications can be drawn from this study's findings to assist in risk management, asset valuation and portfolio management. The importance of close monitoring, safety measures, international diversification and adequacy of liquid assets during health crises cannot be stresses enough for hospitality firms. Retail investors, speculators and asset managers can take advantage of this study's findings to design trading strategies and hedge against risk. Originality/value - A body of knowledge pertaining to effects of crises such as COVID-19 on hospitality stocks has been proliferating. Nonetheless, there is still a relative dearth of empirical literature on volatility spillover between hospitality sub-sectors especially during periods of rising economic uncertainties.

Cushioning the Covid-19 Economic Consequences on Entrepreneurial Ecosystems: The Role of Stakeholders` Engagement, Collaboration, and Support

The Covid-19 (corona virus) disruptions have necessitated a new way of thinking about how entrepreneurship and its environments (ecosystems) function in times of heightened uncertainty. Based on a sample of 237 entrepreneurial ecosystem (EE) stakeholders in Tanzania – an emerging economy, we examine the pandemic economic consequences steered by government countermeasures on the EE-perceived quality and performance. We further examined the role played by EE stakeholders` engagement, collaboration, and support during the crisis. Our structural equation model results suggest that strictness of government counter measures for containment of the current pandemic predicament has a bearing on EE- perceived quality and performance by fueling EE vulnerability via amplifying the magnitude of the negative effects. We further find that stakeholders` engagement and collaboration play a significant role in improving the EE-perceived quality and slowing down EE-vulnerability. We conclude by providing the implications and avenues for future research. [ FROM AUTHOR] Copyright of Journal of African Business is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)