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Report on In-Depth Capacity Assessment of Bangladesh to Produce Agricultural and Rural Statistics









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    Project
    Assessment of Agriculture Statistics Strategic Plan (ASSP) 2014/15 – 2018/19 and Formulation of ASSP II - TCP/URT/3802 2023
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    The agricultural sector comprises 28 2 percent of the gross national product of the United Republic of Tanzania As a means of monitoring, high quality agricultural statistics are crucial to determining the sector’s evolution and continued contribution to livelihoods and to the national economy Given this importance, the Government of the United Republic of Tanzania developed its first Agriculture Statistics Strategic Plan (ASSP I) to provide an overall framework to strengthen the agricultural statistics system ( in the country The ASSP I was rolled out both on the United Republic of Tanzania mainland and on Zanzibar for the 2014 2015 to 2018 2019 period The ASSP I implementation revealed that the use of agricultural statistics in strategic planning, rural decision and policy making is increasing in importance and is widely appreciated by stakeholders Therefore, there was a need to systematically assess the first ASSP performance and develop a new plan to build on previous achievements The Government requested FAO’s assistance in evaluating ASSP I and supporting the formulation of a second ASSP, which will outline the direction of agriculture statistics from 2022 2023 to 2026 2027 The present project proposed an in depth assessment of the first agriculture statistics strategy and recommended that these efforts continue in the subsequent plan The ASSP II was designed taking into account the lessons learned and the identified gaps and opportunities for improvement that stemmed from the ASSP I implementation assessment.
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    Book (stand-alone)
    Pacific Strategic Plan for Agricultural and Fisheries Statistics
    Strengthening the evidence base for achivement of the Sustainable Development Goals
    2018
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    The Pacific Strategic Plan for Agricultural and Fisheries Statistics (P-SPAFS) aims to improve the quality and quantity of statistics in the Pacific region for evidence-based policy-making, and for the successful achievement of the Sustainable Development Goals. This strategic plan was initiated in 2015 through a regional meeting of agricultural statisticians and planners from several Pacific countries. The work is supported by a partnership between the Global Strategy to Improve Agricultural and Rural Statistics, the Food and Agriculture Organization of United Nations (FAO) and the Pacific Community (SPC). The strategic plan is a living document and provides a framework that can guide policy-makers and decision-makers towards a common vision of the development of a sustainable agricultural statistics system in the Pacific region.
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    Book (series)
    Evaluation of the Global Strategy to Improve Agricultural and Rural Statistics (GSARS)
    Main report
    2019
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    Global Strategy is the largest-ever effort to improve agricultural and rural statistics in developing countries. The programme built the capacity of agricultural and rural statistics in Africa and Asia-Pacific through research, training and technical assistance. It exceeded the intended outputs of its research component; the training component benefitted many training participants from various countries. Strategic Plan for Agricultural and Rural Statistics (SPARS) document built the capacity of the governments to design the policy framework to produce and use quality statistics. The involvement of the FAO Regional Office for Asia and the Pacific brought about various benefits such as enhancing the linkages between the programme activities and FAO normative work, and tailoring the global knowledge in the local context. For the second phase, the evaluation recommended a strategic shift from data generation to data use, especially by policymakers; and from narrowly-defined agriculture to the nexus between agriculture and rural development. The recommendations included strengthening advocacy and simplifying the governance structure.

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