{"type":"survey","doc_desc":{"title":"BGD_2014_IAPPIE-ML2_v01_M","idno":"DDI_BGD_2014_IAPPIE-ML2_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2017-04-03","version_statement":{"version":"Version 1 (April 2017)"}},"study_desc":{"title_statement":{"idno":"BGD_2014_IAPPIE-ML2_v01_M","title":"Impact Evaluation of the Integrated Agricultural Productivity Project 2014","sub_title":"Midline Household Survey - Round 2","alt_title":"IAPPIE-ML2 2014"},"authoring_entity":[{"name":"Florence Kondylis","affiliation":"DIME, Development Research Group, World Bank"},{"name":"Maria Jones","affiliation":"DIME, Development Research Group, World Bank"},{"name":"Daniel Stein","affiliation":"DIME, Development Research Group, World Bank"}],"production_statement":{"funding_agencies":[{"name":"The Global Agriculture and Food Security Program","abbreviation":"GAFSP","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"Microdata Library","affiliation":"The World Bank","email":"","uri":"microdata.worldbank.org"}],"depositor":[{"name":"Development Impact Evaluation, Development Research Group","abbreviation":"DIME","affiliation":"The World Bank"}]},"series_statement":{"series_name":"Other Household Survey","series_info":"This is the midline round 2 survey of IAPP project conducted in Bangladesh.The baseline survey was conducted in 2012, round 1 of the midline survey was conducted in 2013 and the endline in 2015."},"version_statement":{"version":"This is the midline round 2 survey of IAPP project."},"study_info":{"abstract":"The IAPP project is designed to improve the income and livelihoods of crop, fish, and livestock farmers in Bangladesh. It consists of four separate components:\nComponent 1: Technology Generation and Adaptation;\nComponent 2: Technology Adoption;\nComponent 3: Water Management;\nComponent 4: Project Management.\n\nThe Impact Evaluation (IE) of the IAPP project will contribute to understanding the drivers of technology adoption through two lenses. First, the overall project approach will be evaluated using a randomized phase-in of project villages (referred to as the \u201cOverall Project Evaluation\u201d). The Overall Project Evaluation will measure the effects of Components 2 and 3 of IAPP. All sub-components will be measured, with special focus on the crops and fisheries sub-components. Second, innovations will be tested through a randomized control trial to understand what approach to demonstration plots can deliver higher results (referred to as the \u201cDemonstration Plot Evaluation\u201d). The Demonstration Plot Evaluation is designed to test a fundamental question about technology adoption: to what extent can \u201clearning by doing\u201d increase technology adoption over \u201clearning by observing\u201d? It will compare the relative effectiveness of single demonstration plots (the standard approach) to more distributed demonstration strategies which allow more people to experiment with new technology. The Demonstration Plot Evaluation will focus on the crops sub-component.","coll_dates":[{"start":"2014-06-01","end":"2014-08-30","cycle":""}],"nation":[{"name":"Bangladesh","abbreviation":""}],"geog_coverage":"North: Rangpur, Kurigram, Nilfamari and Lalmonirhat districts.  \nSouth: Barisal, Patuakhali, Barguna and Jhalokathi districts","geog_unit":"District","analysis_unit":"Household, Individual","data_kind":"Sample survey data [ssd]","notes":"The scope of the Impact Evaluation of the Integrated Agricultural Productivity Project includes:\nHOUSEHOLD \n-Household Roster\n-Education\n-Labor \n-Housing \n-Social Networks \n-Assets, Income and Expenditures \n-Savings and Access to Finance \n-Household Gardens \n-Food Security\n-Risk and Ambiguity Aversion \n-Formal Insurance and Negative Shocks \nAGRICULTURE \n-Access to Extension and Other Trainings \n-Farmer Groups \n-Production \n-Labor for Basic Agricultural Activities \n-Irrigation \n-Inputs \n-Technologies \nLIVESTOCK, POULTRY AND FISHERY"},"method":{"data_collection":{"sampling_procedure":"IAPP is comprised of two evaluation designs (i) technology adoption evaluation, and (ii) demonstration plot evaluation. Six districts (Kurigram, Nilfamari, Lalmonirhat, Patuakhali, Barguna, and Jhalokati) are only part of the technology adoption evaluation. In these six districts, eight unions were selected for the impact evaluation surveys. Within each union, two villages were surveyed. Each of these villages is eligible for all four components of the IAPP (crops, fisheries, livestock, and water management interventions). In each union, one of the sampled villages received IAPP interventions in 2012 and the other did not receive interventions until 2014. \n\nPrior to the baseline survey, a full census of the sampled villages in these six districts was conducted to identify households eligible for and likely to participate in IAPP. IAPP interventions are based at the level of the farmer group, but at the time of the baseline survey, farmer groups were not yet formed. For that reason, census data was used to construct a sampling frame of likely participants in IAPP crop and fisheries groups. In each village, 16 households were sampled, half of which were selected as eligible for the crops groups and half for the fisheries groups. Eligibility was determined by IAPP targeting criteria, prioritizing crop farmers with marginal or small landholdings, and fishermen with access to ponds between 15-50 decimals. After sampling, the IAPP teams reached out to sampled farmers and attempted to involve them in IAPP groups. However, very few sampled farmers ended up joining livestock groups. \n\nTwo districts (Rangpur and Barisal) are included in both the technology adoption evaluation and the demonstration plots evaluation, and as such the sampling strategy in these districts was slightly different. Significantly more villages had to be sampled in these districts because of the DPE tests variations in project implementation. In all, 110 villages were sampled in each district. \n\nThe sample in the six districts in the technology adoption evaluation, the sample is representative of farmers who were eligible for participation in IAPP and were invited to join. The sample in the two additional technology adoption districts is representative of farmers who were eligible for participation in IAPP and were part of the initial IAPP group formation.\n\nTo read about sampling strategy in baseline survey, please refer to the document: iapp_baseline_report_final_with_appendices.pdf provided under the Related Materials tab.","coll_mode":"Computer Assisted Personal Interview [capi]"}},"data_access":{"dataset_use":{"contact":[{"name":"DIME, Development Research Group, World Bank","affiliation":"","email":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\nKondylis, Florence., Maria Jones., Daniel Stein. DIME, Development Research Group, World Bank. Impact Evaluation of the Integrated Agricultural Productivity Project 2014, Midline Household Survey - Round 2 (IAPPIE-ML2 2014). Ref: BGD_2014_IAPPIE-ML2_v01_M. 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