Agricultural diversification has been identified as one of the mechanisms for managing household food security and poverty in developing economies, because it can spread the risk among multiple production enterprises and provide a range of food items for the households. By examining the integrated farming systems of 608 smallholders in Ghana, this paper presents empirical evidence to support the development of effective strategies that enhance diversified farming systems. The estimated mean diversification indices were 0.45, 0.32 and 0.59 for crop, livestock and crop–livestock diversification systems, respectively. Using the Cragg two-step regression model, this paper shows that the decision to diversify and the extent of diversification are distinct decisions affected by different sets of factors. Likewise, the effect of these factors also varied across the three categories of diversification examined. Careful consideration needs to be given to the selection of factors and the methods for examining the diversification process to avoid confounding recommendations. The findings underscore the importance of households’ access to tillage equipment, fertilizers, credit and market information in encouraging farmers to diversify.

This study investigates the factors affecting maize farmers’ decisions to adopt climate-smart agricultural (CSA) technologies and estimates the impacts of CSA technology adoption on maize yields and net farm income. Unlike most previous studies that analyze a single technology, we consider different combinations of three CSA technologies (zero tillage, row planting, and drought-resistant seed). A multinomial endogenous switching regression model addresses selection bias issues arising from observed and unobserved factors and analyses data collected from 3197 smallholder farmers in three Ghana regions (Brong-Ahafo, Northern, and Ashanti). The findings show that smallholder farmers’ decisions to adopt multiple CSA technologies are influenced by farmer-based organization membership, education, resource constraints such as lack of land, access to markets, and production shocks such as perceived pest and disease stress and drought. We also find that adopting all three CSA technologies together has the largest impact on maize yields, while adopting row planting and zero tillage as a combination has the largest impact on net farm income. Governments should collaborate with farmer-based groups and extension officers to improve farmers’ awareness and understanding of the benefits associated with CSA technologies and help them adopt multiple technologies that generate higher benefits.

Although policy and advisory communities have promoted the use of digital advisory services (DAS) to stimulate technology adoption among smallholder farmers, little is known about whether DAS use encourages farmers to adopt climate-smart agricultural (CSA) technologies. This study addresses the gap by estimating data collected from 3197 maize-producing households in rural Ghana and considering three CSA technologies: row planting, zero tillage, and drought-tolerant seeds. A recursive bivariate probit model is utilized to mitigate selection bias issues. The results show that DAS use significantly increases the probabilities of adopting row planting, zero tillage, and drought-tolerant seeds by 12.4%, 4.2%, and 4.6%, respectively. Maize farmers’ decisions to use DAS are influenced by their age, gender, education, family size, asset value, distance to farm, perceived incidence of pest and disease, perceived drought stress, and membership in farmer-based organizations (FBO). Furthermore, the disaggregated analysis reveals that DAS use has a larger impact on the row planting adoption of female farmers than males.

This paper examines the gendered trait preferences for rice and their role in the adoption of improved rice varieties among men and women rice farmers in Ghana. Four hundred rice farm households and 261 consumers were surveyed across 20 communities using a simple random sampling technique. Kendall’s coefficient of concordance, Tobit, and the multivariate probit regressions were used in the analyses. The results show differences in preferences for cooking quality traits and postharvest traits among men and women farmers. There was also a gender differential in the intensity of purchasing rice among men and women consumers. The results show that rice farmers’ decisions to adopt any of the four varieties—AGRA rice, Jasmine, Togo Marshall, or Amankwatia—are influenced by age, being married or indigenous, years of schooling, off-farm activities, farming experience, household size, farm size, FBO membership, extension contact, market proximity, and access to credit. To improve the rice value chain in Ghana, rice breeding efforts should consider varieties with trait preferences such as being tolerant of pest and diseases, aromatic, early maturing, and tolerance to shattering. However, to enhance the consumption of improved rice varieties, breeding efforts should target varieties that are aromatic, good textured, and have medium-sized grains for female consumers, while for male consumers preferred varieties would be less easily broken, white grain color, translucent, and with short cooking time.