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Agricultural education and training (AET) institutions will play a strategic role in helping to prepare Africa’s rapidly growing youth populations for productive careers in agriculture and related agri-businesses. The purpose of this paper is to examine the magnitude of skills and youth employment needs emanating from high-population growth rates. It then explores how agricultural education institutions are responding to these challenges in four different countries at different levels of food system development: South Africa tier 1, Tanzania in tier 2 and Malawi and Uganda in tier 3.

Demographic and school enrollment data provide information on the magnitude of job market entrants at different levels of education while Living Standards Measurement Studies in the respective countries provide a snapshot of current skill requirements in different segments of the agri-food system. In order to evaluate AET responses, the authors have conducted country-level reviews of AET systems as well as in-depth assessments at key tertiary AET institutions in each of the four case study countries.

Growth rates in primary school enrollments are high in sub-Saharan Africa. At the same time, because of budgetary constraints, transition rates decline rapidly – about 40 percent from primary to secondary and 7 percent from secondary to tertiary. As a result, substantial numbers of primary and secondary school graduates seek jobs.

The case study countries are limited to four. Had more financial resources and time been available, researchers could have spread further afield and in so doing increasing the precision of the results.

Estimation of the number of primary and secondary school leavers seeking employment because of failure to proceed to the next level of education. Estimation of the level of education shares in the various components of the agri-food system.

The purpose of this paper is to investigate the role of transactional costs on smallholder avocado farmers’ participation in the export market and the extent of participation in Murang’a County, Kenya.

Data was collected from 384 avocado farmers in Murang’a County, following stratified sampling. The Heckman two-stage model was used for analysis.

Results showed that the cost of information search was an important variable that impedes smallholders’ participation in export marketing while harvesting costs inhibits the extent of participation in export marketing.

This study used data at the farm level. Therefore, insights on transaction costs among other marketing agents in the export market value chain would be an issue for future studies.

Following the debate on transaction costs and market participation among farmers in Sub-Sahara Africa, this paper models transactional costs and export market participation among avocado smallholders and measures the extent of participation with the inclusion of harvesting costs, negotiation costs, monitoring costs and information search costs that are not common in previous studies, thus contributing to the development of literature.

The present study aims to identify and evaluate the socioeconomic barriers to effective COVID-19 pandemic transmission control in Pakistan.

The study identifies multiple socio-economic barriers through an extensive literature review. The preliminary analysis unveiled 15 socio-economic barriers. Nine experts were contacted to collect data and finalize the most prominent barriers to COVID-19 transmission control using the DELPHI method. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to process and interpret the data collected and a cause–effect relationship was established among the barriers.

The finalized barriers to effective COVID-19 pandemic transmission control were evaluated using DEMATEL which grouped criteria into two grouped criteria – cause and effect. The DEMATEL analysis shows that poor safety culture, lack of strategy and goal setting, lack of resources, late realization and recognition of the pandemic problem and lack of expertise and capacity in disaster and risk management fall into the cause group. These factors are critical as they directly affect the remaining barriers identified in the study.

Despite the collective global efforts, the national economies have been struggling to completely control COVID-19 transmission control. Pakistan’s economy has been facing the third wave of the pandemic. It is mandatory to identify the barriers and evaluate them to develop a comprehensive strategy ensuring that there would be no fourth wave. The study identifies and evaluates the barriers to COVID-19 transmission control in Pakistan using the integrated DELPHI-DEMATEL framework. The findings would help the government, experts and strategists to develop a comprehensive disaster and risk management strategy.