Banana is an important commercial fruit crop for smallholder farmers in Arba Minch, southern Ethiopia. However, its sector is experiencing many constraints and limited attention given to productivity and marketing. Therefore, this study was conducted to analyze the banana value chain in order to identify constraints on productivity and marketing, and possibilities of improvements towards a sustainable value chain in Arba Minch. Data were collected through a survey, key informants’ interviews, and focus group discussions. Different analytical and statistical tools were used for data analysis. Results describe actors, supporters, and influencers of the existing banana chain. The current banana chain has three different distribution channels in Arba Minch. The channel that connects with rural consumers has the highest value share for farmers while the channel that includes traveling traders has the lowest value share for farmers. The marketing cooperative channel has an intermediate value share for farmers in the chain. Poor agronomic practice, diseases, pests, and climate change were the major constraints for the banana yield while limited market information, lack of cold store and refrigerated trucks, poor post-harvest handling, lack of alternative markets, and weak capacity of cooperatives were the main constraints for banana marketing in Arba Minch. Economic, social and environmental indicators have a moderate sustainability performance within the Ethiopian context. The chain has an advantage in terms of profitability, employment, emission of air pollutants and constraints in terms of coordination, value share, profit margin, market diversity, product and market information, transportation, waste management, and safety and hygiene.
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Consumers expect product availability as well as product quality and safety in retail outlets. When designing or re-designing fruit and vegetables supply chain networks one has to take these demands into consideration next to traditional efficiency and responsiveness requirements. In food science literature, much attention has been paid to the development of Time-Temperature Indicators to monitor individually the temperature conditions of food products throughout distribution as well as quality decay models that are able to predict product quality based upon this information. This chapter discusses opportunities to improve the design and management of fruit and vegetables supply chain networks. If product quality in each step of the supply chain can be predicted in advance, good flows can be controlled in a pro-active manner and better chain designs can be established resulting in higher product availability, higher product quality, and less product losses in retail. This chapter works towards a preliminary diagnostic instrument, which can be used to assess supply chain networks on QCL (Quality Controlled Logistics). Findings of two exploratory case studies, one on the tomato chain and one on the mango chain, are presented to illustrate the value of this concept. Results show the opportunities and bottlenecks for quality controlled logistics depend on product—(e.g. variability in quality), process—(e.g. ability to use containers and sort on quality), network- (e.g. current level of cooperation), and market characteristics (e.g. higher prices for better products).
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