Despite an impressive growth of Ghana's economy over the decades, it has been branded as 'jobless growth' manifested in growing unemployment among the youth. This growing unemployment rate is gender biased against women, with the United Nations expecting this to worsen globally over time. This study examines the determinants of gender-based participation of the youth in income generating enterprises in cocoa growing areas in Ghana, using a sample of 4,702 participants of the Next Generation Cocoa Youth Program (MASO) initiative. This data were obtained by Solidaridad West Africa. The sample was obtained through the Propensity Score Matching (PSM) technique to compare the characteristics of the male and female groups and remove missing observations. The multinomial regression model supported with descriptive analysis were employed for the estimation. It was found that most of those who participated (63%) in the training program were engaged in an income generating activity. Youth engagement in cocoa (9%) as compared with non-cocoa (28%) and joint enterprise (26%) is very low. Given the same level of exposure (MASO), women are more likely to be unemployed, less likely to engage in cocoa production and more likely to be engaged in non-cocoa enterprises. All non-cocoa business enterprises are dominated by men except petty trading and agro processing. Age, marital status, education, savings, additional training, migrant status and gender, influenced engagements in the various categories of enterprises. The study recommends rolling out other policies that can address challenges of women engagement in cocoa farming in addition to the training program. Policies towards encouraging savings among the youth is recommended to aid in startup businesses, which may be supported by low interest loans. Attention should be given to the non-cocoa sector in terms of employment as people are either losing interest in cocoa farming or diversifying their incomes to non-cocoa businesses.

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The determinants of agricultural extension communication channel usage depend on several factors but have not been explored in the context of emergency (Fall Armyworm outbreak) and non-emergency situations. A multistage purposive sampling technique was used to select 318 farmers, focusing on the districts and the communities with the highest reported cases of fall armyworm infestation. Descriptive statistics and a multivariate probit analysis were used in the analysis of the data. The results showed an increase in the intensity of channels' usage in the emergency situation. It was also found that fertilizer and improved seeds were the most common extension need. Channels are found to be more complementary in the emergency case. In both situations, some factors explaining the choices of these channels varied, while others agreed. The study recommends multiple channels are made available and that time-consuming channels irrespective of their effectiveness should be avoided by extensionists in emergency situations.

The study sets out to measure the technical, allocative and cost efficiencies of maize farming in the Northern Region of Ghana for the 2014-2015 farming season. The region has 73% of its population as farmers, with maize being the most cultivated and consumed cereal. Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) are employed in the estimation. Interviews were conducted on 121 farmers selected through a mixed sampling technique. The study also segregated the quantities and prices of nitrogen and phosphorus from compound fertilizers. Under DEA, the study found an average efficiency of 79%, 67% and 53% for technical, allocative and cost efficiencies respectively. For SFA the results respectively are 77%, 27% and 21%. Cost and allocative efficiency estimates were very low especially for SFA. Using fractional regression analysis, it was found that household structure of farmers determined their technical efficiencies. Maize land size, marital status, education, and maize farming experience were found to affect allocative efficiency whiles marital status, household structure and maize farming experience affected cost efficiency. The study also found that labor was excessively used in the production process. Fertilizer application increased maize productivity more than other inputs. Policy recommendations were made following these findings.

Most researches on migration have often targeted the host cities where the living conditions and the coping strategies of the migrants are documented. The push factors in their home towns and regions are theoretically being referred. The most common among the factors are poverty and unemployment resulting from the dwindling fortunes in agriculture. The study selected the Northern region because it is the largest, both in terms of agriculture and the supplier of migrants for the kayaye business. The outmigration of this group of people has remained a serious socio-economic dilemma for policy makers in Ghana. The study sets out to review why some selected key policies have failed to reverse this menace. At the same time it examines the structural economy of the region which is generally agricultural. Three different quantitative techniques are used to determine the relationship between labor and agricultural production. Results of all these techniques suggest a significant reduction in the labor employed in agricultural production. This brought to light how agriculture, the traditional occupation of these migrants rejects their labor. With educational and skills barriers to the industry and services sectors, the kayaye business is an inevitable alternative. In the light of these findings, policy recommendations have been provided.