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Strengthening Plant Health Services in Tanzania for Enhanced Food Safety - TCP/URT/3806








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    Support for Development of Tanzania Fisheries Master Plan - TCP/URT/3709 2022
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    The fisheries industry in the United Republic of Tanzania is among the most important economic subsectors in the country and remains a key source of employment, food security and revenue The fish catch from inland and marine waters ranged from 375 535 tonnes in 2005 to 473 592 tonnes in 2020 with an annual average of 395 006 tonnes Current annual aquaculture production is about 18 717 tonnes (less than 4 percent of overall fish production) The sector is dominated by small scale fishers and aquafarmers, who contribute more than 95 percent of the country’s total catch The contribution of the sector to the gross domestic product ( for the past five years fluctuated between 1 6 and 1 8 percent, considered to be very low when compared with the available fisheries resource potential.
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    Improve the Competitiveness and Increase Post-Harvest Value Chain of Smallholder Farmers - TCP/URT/3604 2020
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    The United Republic of Tanzania is a low-income rural economy, with most citizens participating in agriculture for household income generation. Agriculture represents about 23 percent of gross domestic product (GDP) and 30 percent of export earnings, and employs 66.9 percent of the working population. In 2000/01 agriculture accounted for 31 percent of GDP but has since fallen to 23 percent despite an annual GDP growth rate of 5-6 percent. The poor performance of the sector is caused by several factors, including poor extension services, financial illiteracy and inadequate access to financial services by smallholder farmers. In collaboration with MoA, the project aimed to address these challenges by improving the competitiveness and enhancing the post-harvest management capacity of VC (smallholder farmers and processors), building the management capacity of producers’ organizations, creating sustainable linkages with other agricultural VC actors, and improving post-harvest practices to enhance farmers’ competitiveness. The project also built linkages between farmer organizations (FOs) and other service providers, encouraging the development of a long-term market strategy and contributing to the national objective to increase agricultural productivity and reduce rural poverty. The project was further expected to increase and stabilize the incomes of smallholder farmers producing paddy in Iringa district, building capacity in post-harvest handling and strengthening the commercial relationships between FOs and other rice VC actors. Market linkages between producer and other value chain actors such as traders and processors were established by the project, with 15 new linkages being forged.
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    Project
    Assisting Populations at Risk of Food Insecurity in the United Republic of Tanzania - TCP/URT/3504 2019
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    The agricultural sector in the United Republic of Tanzania (crop production, livestock, fisheries and forestry) represents about 23 percent of the country’s GDP, with a contribution of around 30 percent in Zanzibar. Agriculture crops, livestock, forestry and fisheries are also key providers of employment and livelihoods for the rural population and therefore contribute to the reduction of poverty in the country. The Agriculture Statistics Strategic Plan process showed weaknesses in agricultural statistics in the country. These are mainly the result of low awareness among district-level management of the importance of evidence-based policy and data use, a lack of control on data collection and reporting at district and village levels from central line ministries and statistics offices, both on the mainland of the United Republic of Tanzania and in Zanzibar, and the lack of skills in survey methodology, data analysis and data quality assessment. The project aimed to address these issues and contribute to the implementation of Strategic Goal 3 of the Agriculture Statistics Strategic Plan, namely to “rationalize statistical operations and processes, improving quality and relevance to users of agriculture statistics data”.

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