The 50x2030 Initiative proposes an integrated modular agricultural and rural survey program that promotes the integration of traditional socio-economic household surveys and agricultural surveys in beneficiary countries. An integrated sampling design is proposed to ensure that the integrated survey fulfils the measurement objectives of the traditional surveys in a cost-effective way. This paper will present an overview of the key technical features of the proposed integrated sampling procedures including the development of sampling frames, stratification criteria, sampling size calculations, estimation procedures and sampling approaches over time. The operational procedures will be highlighted through a presentation of an application of the methodology in the Uganda Harmonized Integrated Survey.
The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Policy Research Working Paper 9968Every year, disasters account for billions of dollars in crop production losses in low-and middle-income countries and particularly threaten the lives and livelihoods of those depending on agriculture. With climate change accelerating, this burden will likely increase in the future and accurate, micro-level measurement of crop losses will be important to understand disasters' implications for livelihoods, prevent humanitarian crises, and build future resilience. Survey data present a large, rich, highly disaggregated information source that is trialed and tested to the specifications of smallholder agriculture common in low-and middle-income countries. However, to tap into this potential, a thorough understanding of and robust methodology for measuring disaster crop production losses in survey microdata is essential. This paper exploits plot-level panel data for almost 20,000 plots on 8,000 farms in three Sub-Saharan African countries with information on harvest, input use, and different proxies of losses; household and community-level data; as well data from other sources such as crop cutting and survey experiments, to provide new insights into the reliability of survey-based crop loss estimates and their attribution to disasters. The paper concludes with concrete recommendations for methodology and survey design and identifies key avenues for further research. This paper is a product of the Development Data Group, Development Economics. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp.
Since 2009, the Socio-Economic Directorate of the Uganda Bureau of Statistics (UBOS) has been implementing the Uganda National Panel Survey (UNPS). In 2017, the Agriculture and Environment Statistics Directorate (DAES), started implementing the Annual Agricultural Survey (AAS). Similarities and disparities in the design of the two surveys have led, on the one hand, to the duplication of part of the collected information, and, on the other, to the different methodologies inevitably returning different estimates. This has resulted in issues around reconciling and communicating the differences in some agriculture indicators and statistics retrieved through the two different surveys. In integrating the two survey programs under the 50 × 2030 Initiative, UBOS has found a way to improve efficiency by avoiding duplication, reducing costs, and aligning methodologies and results. This paper documents the process of integrating the two surveys. On the whole, the extent of methodological, logistical, and institutional integration exemplified by the UHIS may be aspirational in the short term for many NSOs in low- and middle-income countries and can help when establishing long-term strategies and implementation plans to move towards similar goals.
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