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This paper uses a unique dataset from Lebanon, a developing country with unstable political conditions, to explore the drivers of research outcomes. We use the Negative Binomial model to empirically examine the determinants of the total number of publications and single and co-authored articles. The results indicate that males are more likely to publish co-authored papers than females. Moreover, our findings show a quadratic relationship between age and the number of published papers with a peak at the age of 40. After this turning point, the publication rate starts to decrease at an increasing rate. When we run the model by gender, we find that females in large departments tend to publish more co-authored papers. We also find that full professors tend to publish more papers in Q1 and Q2 journals, while associate professors have more papers in Q2 and Q3 journals.

AbstractBusinesses have been impacted particularly hard by the COVID‐19 pandemic, resulting in a decline in productivity. Whether a remote work policy boosts the firm's productivity is still debatable. We use the COVID‐19 World Bank Enterprise Survey, a cross‐sectional dataset that covers Jordan and Morocco, to empirically examine this question. We use the propensity score matching technique to estimate the causal effect between remote work and firm performance. Results suggest the existence of a positive impact, suggesting that remote work policies cause an increase in productivity. In a further investigation, we perform our regression by country and firm size. Coefficients are found to remain positive in both countries but statistically significant only in Morocco. Regarding firm size, coefficients are found to be positive and statistically significant across all models. The paper offers some recommendations for policymakers in both countries to mitigate the ongoing crisis on firm performance.

This paper uses unique data from Lebanon to explore the factors affecting promotion in academia. We use the Ordered Probit model to answer the research question empirically. The results indicate that the number of publications is an essential factor affecting promotion decisions. Moreover, our findings indicate a quadratic relationship between age and promotion, reaching a peak at 62 years. After this turning point, age and promotion become negatively correlated. When dividing our sample by academic generations, we find that the number of publications is an important determinant for promotion only for the cohort who graduated after the year 2000. Finally, after dividing by gender, the results suggest that males and females who publish more have equal chances of earning a promotion.