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The following two metadata fields were edited - Document and Survey ID."}},"study_desc":{"title_statement":{"idno":"MLI_2016_AGRA_v01_M","title":"Alliance for a Green Revolution in Africa 2016-2017","sub_title":"Baseline Survey","alt_title":"AGRA 2016-2017"},"authoring_entity":[{"name":"Institute of Statistical Social and Economic Research","affiliation":"University of Ghana"}],"series_statement":{"series_name":"Agricultural Survey"},"version_statement":{"version":"Version 01: Edited dataset for public distribution."},"study_info":{"abstract":"The Alliance for a Green Revolution in Africa (AGRA) aims to effect market-led agricultural transformation in Africa. In Ghana, its objectives are to increase farmer productivity through access to quality inputs, reduce post-harvest losses through access to post-harvest storage technologies and support farmers through an enabling policy environment. Though agriculture remains the mainstay of most economies in Sub-Saharan Africa (SSA), the sector is faced with structural challenges which undermine the attainment of its optimal potential. The Alliance of Green Revolution in Africa (AGRA) has advanced its operations in recent years and aims to promote market-led agricultural transformation in the sub-region. In Mali, AGRA's objectives are to close yield gaps with the aim of doubling current yields; and also, to increase the volume of crop aggregation and processing in order to boost activities in the agri-food industry and support farmers through an enabling policy environment. In line with these objectives, the Institute of Statistical Social and Economic Research (ISSER) was contracted to conduct a baseline survey of farmer households in three regions in Mali principally noted for crop production to generate baseline data for key indicators broadly relating to households' welfare, farming practices, crop yields, crop losses and other features of the value chain in the cultivation of four major crops, namely maize, sorghum, millet and cowpea.","coll_dates":[{"start":"2016-12-07","end":"2017-01-04","cycle":""}],"nation":[{"name":"Mali","abbreviation":"MLI"}],"geog_coverage":"The study sampled and surveyed 2,977 farmer households from three regions in Mali. 1,056 were sampled from the Koulikoro region, 1,221 from Sikasso region, and 700 from the Segou region.","geog_unit":"The data is at the level of District and village.","analysis_unit":"Households and individuals","data_kind":"Sample survey data [ssd]","notes":"The survey collected the following data on:\n- Households: demographic data and data on education and literacy of household members, household welfare (income, employment), food security, household assets, housing characteristics and access to credit and savings, women empowerment, time use, and women's dietary diversity. \n- Agricultural: agricultural production and input access, plot characteristics and soil quality, farm labor, chemical use, awareness of hybrid\/improved seed varieties and usage, agricultural mechanization, farmer based organizations' (fbos) membership, awareness and use of extension services and agronomic practices, crop yields and pre-harvest crop losses, post-harvest storage, crop sales, processing and market price."},"method":{"data_collection":{"data_collectors":[{"name":"Institute of Statistical Social and Economic Research","abbreviation":"ISSER","affiliation":"University of Ghana"}],"sampling_procedure":"Quantitative and qualitative data collection occurred in all study regions. The enumeration areas (EAs) visited were selected using a sampling frame of EAs provided by the Statistical Service of Mali, to identify areas where rural households in the regions commonly grew the crops of interest. Based on existing and projected estimates for crop yields and crop losses in AGRA's business plan for Mali, the survey targeted a statistically acceptable sample size of 3,225 farm households.\n\nA two stage sampling strategy was employed to ascertain the needed sample size for the survey. In the 1st Stage (Primary Sampling), power calculations determined the number of clusters or enumeration areas (EAs,) required to attain the necessary effect size for a power of at least 80%. It was determined that at least 15 farming households would be randomly selected from each of the 215 EAs to give the total sample of 3,225 households. We selected these clusters based on the distribution of the target crops across the regions and their districts, as provided by the AGRA country business plan. Sample size of 2,830 households, which was increased to 3,225 to account for anticipated future attrition and difficulty in accessing households or EAs during the initial baseline data collection.","coll_mode":["Face-to-Face Interviews and Focus Groups"],"research_instrument":"Two data collection instruments will be used in collecting data for the qualitative baseline study. These are semi-structured interview and discussion guides. Both instruments are designed to address focus areas of the baseline study. Semi-structured interview guides were used as instruments to conduct in-depth interviews (IDIs) and key informant interviews (KIIs). A semi-structured discussion guide was designed and used to conduct the FGDs.","coll_situation":"Fieldwork for the quantitative survey covered an overall period of 4 weeks, spanning 7 December 2016 to 4 January 2017. The selected period coincided with the harvest period for the target crops for most farmers. Prior to field work, enumerators for the quantitative survey were trained on the content and techniques for administering the instrument, after which they were deployed to the field."}},"data_access":{"dataset_use":{"contact":[{"name":"Ghana ACEIR Hub, ISSER","affiliation":"University of Ghana","email":"joanakwawu@gmail.com","uri":"www.isser.ug.edu.gh"}],"cit_req":"Institute of Statistical Social and Economic Research. Alliance for a Green Revolution in Africa 2016-2017, Mali Baseline Survey [dataset]. Version 1.Accra: ISSER [producer], 2016. 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