Institutional and policy-induced factors affect farmers’ decisions on the choice of the market to sell their staple foods. This results in low motivation to participate in the production and agricultural commodities’ commercialization. This study determines specific institutional and policy-induced factors affecting the farmers’ decisions regarding the staple food market choice in Tanzania. The study uses household survey data collected from 820 farmers raising staple food crops (maize, rice, sorghum, and millet) randomly selected from the Dodoma and Morogoro regions, Tanzania. The index method, descriptive statistics, and choice model (multinomial logit model) are used for data analysis. Qualitative policy analysis is used for analyzing policy-induced factors. Findings show a low level of integration of farmers into staple food markets, with female-headed households facing more hurdles in accessing markets than male-headed households. Age, formal training, the value of agricultural production, membership in organizations, access to credit, contractual arrangements, and distance to markets are significant factors driving farmers to choose a particular market to sell their produces. Restriction of selling and use of staple food commodities, instability of food policy administration, and procedural operation obstacles are found to be key policy-induced factors affecting the marketing of staple food commodities in Tanzania. The scale of production, as depicted by the value of production, and supply contract arrangement with buyers are important factors to ensure that farming households excel in lucrative markets through increased economies of scale and the ability to reach critical volumes for supplying to various markets. Supporting market linkage and infrastructure, as well as enforcing transparent and non-restrictive food marketing policies, would help many farmers enter into contractual arrangements that increase market access and improve market choices.

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This study assesses the factors causing coffee yield gap among smallholder in the study area. The aim of this study is to increase coffee productivity from the current level. The primary data were collected from 218 adopters and 102 non-adopters of improved coffee varieties using a structured questionnaire. The descriptive statistics was used to assess yield gap and linear regression model was used to determine factors causing yield gap among smallholder farmers in the study area. The findings showed that the yield potential (3000 kg/ha and 1000 kg/ha) for improved and traditional coffee varieties respectively has not yet been realized by farmers and there is a large gap between the average coffee yield (1141 kg/ha and 384 kg/ha) gained by smallholder farmers growing improved coffee varieties and farmer growing traditional coffee varieties respectively. The yield gap from smallholder farmers with improved coffee varieties was 2000 kg/ha and 646 kg/ha from traditional coffee varieties. The main factors causing coffee yield gap were lack of access to extension services (p < 0.000), plant population (0.007), low use of fertilizer (p < 0.002), coffee diseases (p < 0.008). To minimize coffee yield gap in Tanzania promotion of the use of improved coffee varieties, fertilizer and agro-inputs is important.

Trade governance is important for the efficient implementation of trade policies that support and controls most of the global value chains (GVCs) trade in African countries. Poor trade governance leads to misalignment of trade policies and affects the sustainability of the agricultural commodities supply chains. This study used cross-sectional survey data of 375 randomly selected sugar supply chain actors in Tanzania to evaluate the level of trade governance in Tanzania and ascertain its effects on the sugar trade. Exploratory (factor analysis) and confirmatory (weighted least square regression) models were used for data analysis. The major findings are that governance affects the sugar trade with the magnitude of its effects being felt differently between farmers and traders. It shows further that abrupt trade policy change significantly ( p < .05) reduces sugar trade by almost half (47.7%) and lowers the overall level of efforts to invest within the sugar supply chain. Ensuring trade policies are stable and predictable will increase trade by allowing forward contracting and investments. It is also important to create awareness of institutions and organizations managing the sugar supply chain by encouraging transparency in trade policy administration and practices for improving trade governance.