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This study aims to examine organized crime, corruption and their challenges to the economic growth of the Economic Community of West African States (ECOWAS). Organized crime and corruption can have a grossly negative impact on the economic growth process of every system, but the extent of damage they have needs to be measured to determine the policy implications to the region.

The study uses the fixed effects model and the feasible generalized least square known also as the random-effects model with the pooled ordinary least square as a control on the defined objectives using secondary time series data that covers the period 2000 to 2019 for 11 countries in the ECOWAS region. The panel nature of the data set provides a rich degree of freedom with 220 (20 years for 11 countries – 20*11 = 220) observations.

Results show among others that organized crime does not have a significant impact on economic growth, whereas corruption significantly reduces economic growth.

Unavailability of data affected the scope of the study in the areas of a number of countries selected and years chosen for the study. The implication is that it would have given the study better degrees of freedom.

The practical implication of this study has exposed corruption hinders economic growth in West Africa.

The social implication of the study is that it has exposed that though the organized crime was a bad phenomenon it does not retard economic growth significantly in West Africa.

This study is original and of immense importance as its the first study to focus on organized crime and corruption’s influence on economic growth among West African states.

The study investigated the contributions of household farming in palliating the economic effect of COVID-19 during the lockdown period. The study was questionnaire-based involving 510 participants randomly drawn from 17 Local Government Areas in Enugu State. Data were collected on demographic data, household expenditure, farm plots size, crops cultivated, sufficiency and extent farm produce contributed to palliating the effect of COVID-19 shocks. Data analysis used descriptive statistics, PCA and ANOVA. 89% households were fully involved in farming during the lockdown which positively impacted on household economy and especially SDGs 2 and 12. The lockdown improved household food production and pushed towards a positive behavioral change towards food security. 85% households indicated interest in expanding their farm size after the pandemic. Land and capital unavailability were significant barriers to taking farming as a major occupation. Several policy options were proposed to improve food production at household levels to mitigate the impact of COVID-19 crisis on food security.