Rice value chain analysis in Tanzania: identification of constraints, opportunities and upgrading strategies

Nkuba, Jackson M.; Ndunguru, Agness; Madulu, Ruth; Lwezaura, Deogratias; Kajiru, G.J; Babu, Anjali K; Chalamila, Betty; Ley, G.J.

doi:10.4314/acsj.v24i1.8s

Cited by 32 publications

(39 citation statements)

References 2 publications

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“…Many rice producers (mainly smallholder farmers) in Tanzania continue to use traditional management practices, which has led to the sector s continuous low performance [18,24,56,57]. The results of this study provide useful information to compare the risks and benefits of producing under traditional management practices and the benefits of producing under improved alternative management practices so that farmers would be able to make better management decisions.…”

Section: Discussionmentioning

confidence: 99%

An Economic Comparison between Alternative Rice Farming Systems in Tanzania Using a Monte Carlo Simulation Approach

et al. 2020

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Tanzania is the second-largest producer of rice (Oryza sativa) in Eastern, Central, and Southern Africa after Madagascar. Unfortunately, the sector has been performing poorly due to many constraints, including poor agricultural practices and climate variability. In addressing the challenge, the government is making substantial investments to speed the agriculture transformation into a more modernized, commercial, and highly productive and profitable sector. Our objective was to apply a Monte Carlo simulation approach to assess the economic feasibility of alternative rice farming systems operating in Tanzania while considering risk analysis for decision-makers with different risk preferences to make better management decisions. The rice farming systems in this study comprise rice farms using traditional practices and those using some or all of the recommended system of rice intensification (SRI) practices. The overall results show 2% and zero probability of net cash income (NCI) being negative for partial and full SRI adopters, respectively. Meanwhile, farmers using local and improved seeds have 66% and 60% probability of NCI being negative, correspondingly. Rice farms which applied fertilizers in addition to improved seeds have a 21% probability of negative returns. Additionally, net income for rice farms using local seeds was slightly worthwhile when the transaction made during the harvesting period compared to farms applied improved varieties due to a relatively high price for local seeds. These results help to inform policymakers and agencies promoting food security and eradication of poverty on the benefits of encouraging improved rice farming practices in the country. Despite climate variability, in Tanzania, it is still possible for rice farmers to increase food production and income through the application of improved technologies, particularly SRI management practices, which have shown a promising future.

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Section: Discussionmentioning

confidence: 99%

An Economic Comparison between Alternative Rice Farming Systems in Tanzania Using a Monte Carlo Simulation Approach

et al. 2020

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“…TXD306, one of the recently released cultivars, has high-yielding potential, inherited from foreign cultivars, and good palatability, inherited from a traditional cultivar (Msomba et al 2004). Farmers' acceptance of TXD306 is reported to be sufficiently high, and it is gradually spreading out from the Morogoro region, where TARI-Ifakara (the cultivar's breeding institution) is located Kajisa, 2013, 2014;Nzomoi and Anderson 2013;Nkuba et al 2016). However, the yielding ability of TXD306 seems to be greatly reduced in rainfed conditions (Mwaseba et al 2007;Kajisa, 2013, 2014).…”

Section: Challenges In Rice Breedingmentioning

confidence: 99%

Importance of market-oriented research for rice production in Tanzania. A review

Sekiya

Oizumi

Kessy

et al. 2020

Agron. Sustain. Dev.

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Rice consumption in Tanzania has greatly increased since the 1960s; it is predicted to continue to increase owing to urbanization and changes in consumer preferences from traditional staples to rice. In this study, we review rice agroecology, its value chain, and price determinants, and the history of and challenges to rice research in Tanzania. Our main findings are as follows: (1) rice cultivation can be classified into three major categories: irrigated lowland, rainfed lowland, and rainfed upland. Irrigated lowland is then subdivided into the permanent river, seasonal water, dam, and groundwater subtypes, while rainfed lowland is subdivided into flood plain (fields near rivers), catchment (fields on gentle slope in catchment basin), narrow valley (fields on flat narrow valley bottoms), and plain grassland (fields on gentle slope in savannah grassland). (2) Various stakeholders are involved in production, storage, milling, wholesale, retail, and trade at local, urban, regional, and national levels, resulting in higher market prices of local rice compared to imported rice. However, consumers still choose local rice consisting of traditional cultivar because of its distinct taste and aroma. (3) Improving yield potential through the introduction of foreign elite lines/cultivars has been a major research target; however, farmers have been rejecting most of the new cultivars due to poor grain quality. (4) An integrated set of agronomic management techniques is effective in increasing the yield of traditional cultivars under irrigated lowland. Technical package effectiveness has yet to be tested in all subtypes of rainfed lowland. We propose a new research framework for rice production in Tanzania that is greatly oriented toward meeting consumer demands. In the framework, both breeding and agronomy should have specific research targets for each agroecosystem. Furthermore, genetic resources of traditional cultivars should be fully explored. This study shows the importance of multidisciplinary approach in improving rice production in Tanzania.

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“…In Tanzania, rice cultivation, trade and value addition have been a significant contributor to food security and nutrition, socio‐economic development, and sometimes foreign exchange earnings and trade balance (Wilson and Lewis 2015; Nkuba et al . 2016). The crop production and marketing activities directly influence the livelihood of over two million people countrywide (Rugumamu 2014).…”

Section: Introductionmentioning

confidence: 99%

Marketing efficiency and determinants of marketing channel choice by rice farmers in rural Tanzania: Evidence from Mbeya region, Tanzania

Mgale

Yunxian

2020

Aus J Agri & Res Econ

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Rice production is an increasing source of income and food security for smallholder farmers in many parts of Tanzania. Improving market access for rice farmers is essential to raise rural incomes and reduce poverty. This paper aims to determine the most efficient rice marketing channel and analyse the factors affecting marketing channel choices by smallholder rice farmers. Marketing efficiency was tested using Acharya and Aggarwal's composite index method. A multinomial logit model was used to analyse the marketing channel choices. The results showed that the millerwholesaler marketing channel is the most efficient. The results show that most farmers in rural areas still sell their rice to local collectors because of failure, fear or inability by farmers to venture out of the farm gate into the markets. The findings suggest that there is a need to improve rural infrastructure, market information systems, smallholder access to productive assets, prudent use of credit and strengthening collective action through well-organised farmer groups in the country.

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Rice value chain analysis in Tanzania: identification of constraints, opportunities and upgrading strategies

Cited by 32 publications

References 2 publications

An Economic Comparison between Alternative Rice Farming Systems in Tanzania Using a Monte Carlo Simulation Approach

An Economic Comparison between Alternative Rice Farming Systems in Tanzania Using a Monte Carlo Simulation Approach

Importance of market-oriented research for rice production in Tanzania. A review

Marketing efficiency and determinants of marketing channel choice by rice farmers in rural Tanzania: Evidence from Mbeya region, Tanzania

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