{"doc_desc":{"idno":"DDI_UGA_2023_ILGUIE-EL_v01_M","producers":[{"name":"Development Data Group","abbr":"DECDG","affiliation":"World Bank","role":"Documentation of the survey"}],"prod_date":"2025-04-30","version_statement":{"version":"Version 01 (April 2025)"}},"study_desc":{"title_statement":{"idno":"UGA_2023_ILGUIE-EL_v01_M","title":"Impact evaluation of the Improvement of Land Governance in Uganda to Increase Productivity of Small-Scale Farmers on Mailo-Land 2023","sub_title":"Endline","alternate_title":"ILGUIE-EL 2023"},"authoring_entity":[{"name":"Heather Huntington","affiliation":"Cloudburst Group"},{"name":"Thea Hilhorst","affiliation":"World Bank"},{"name":"Kate Marple-Cantrell","affiliation":"Cloudburst Group"},{"name":"Klaus Deininger","affiliation":"World Bank"},{"name":"Daniel Ayalew Ali","affiliation":"World Bank"}],"production_statement":{"funding_agencies":[{"name":"Gesellschaft fuer Internationale Zusammenarbeit","abbr":"GIZ","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"Daniel Ayalew Ali","affiliation":"World Bank","email":"dali1@worldbank.org","uri":""}]},"series_statement":{"series_name":"1-2-3 Survey, phase 3 [hh\/123-3]","series_info":"An endline data collection took place in 2023 to assess the impact of the GIZ supported pilot program to test approaches for systematic demarcation and adjudication of Mailo land occupied by tenants in the form of land inventories in 8 sub-counties in Mityana and Mubende districts of Uganda. The proposed impact evaluation of the delivery of land inventories to Mailo land will investigate the impact of the program on perceived tenure security, land-related investment by smallholders, access to credit and agricultural productivity."},"version_statement":{"version":"Version 01: Edited, anonymized dataset for public distribution."},"study_info":{"abstract":"Uganda has a complex land tenure system. Four tenure systems officially recognized by the 1995 Constitution coexist: freehold, mailo, leasehold, and customary tenure. While undocumented customary tenure dominates in the country (UNPS 2013\/2014 data estimates that 84% of parcels are held customarily), mailo tenure is predominant in the central and parts of the western regions. Around 10% of Uganda\u2019s land (in surface) is estimated to be held under mailo tenure. The 1998 Land Act recognizes the rights of mailo tenants (lawful occupants as well as bonafide occupants) to occupy that land in perpetuity for as long as they continue to pay the annual ground rent to the registered owner. By law, tenants by occupancy has the right to assign, sublet, pledge, sub-divide, bequeath, or create third party rights in the land. The existence of various consent requirements and rights of first refusal in the law seek to balance the rights of mailo tenants and owners, but which did not work in practice resulting in overlapping rights between owners and tenants.\n\nThe overlap of ownership and use rights on mailo land has been identified as a key impediment to investment and improved productive efficiency in Uganda\u2019s agricultural economy. Previous studies have shown that mailo \u201coccupancy rights convey significantly lower incentives to invest in trees, soil conservation, and manure application than full ownership.\n\nTo address the issue of securing rights of mailo tenants in a way that can increase the level of investment by smallholders, access to credit and boost agricultural productivity, the German Agency for International Development (GIZ) developed a pilot program to test approaches for systematic demarcation and adjudication of mailo land occupied by tenants in the form of land inventories in 8 sub-counties in Mityana and Mubende districts.\n\nStudy Objectives\nThe impact evaluation of the delivery of land inventories to mailo land tenants will serves multiple objectives:\na) Gain better understanding of the impacts of strengthening tenants\u2019 rights in Mityana and Mubende districts. Findings are to provide critical information necessary to understand and quantify both expected impacts and risks associated with the program. Results are to be disaggregated by gender.\nb) Identify best practices as well as potential issues in the implementation process and provide recommendations to inform the design of a subsequent national roll-out to cover mailo land but also similar tenure arrangements in Uganda such as Native Freeholds and Church\u2019s land.\nc) Evaluation of the complementary intervention aimed at converting land inventories into certificates of occupancy (CoO)\/mailo title will help identify the best incentives for registration of CoO\/mailo title as well as the benefits associated to registration vs. demarcation on key outcome variables (investment, land management, agricultural productivity). \nd) Inform potential new donors\u2019 engagement in support to the implementation of the National Land Policy\u2019s strategic objectives.","coll_dates":[{"start":"2023-07-15","end":"2023-10-26","cycle":""}],"nation":[{"name":"Uganda","abbreviation":"UGA"}],"analysis_unit":"Household and individual","data_kind":"Sample survey data [ssd]","notes":"The survey covered the following topics:\n\u2022 Wage employment and non-market labor\n\u2022 Housing conditions, water, and sanitation\n\u2022 Sources of income, financial decision making, savings, credit, borrowing, and banking in the past 12 months\n\u2022 Parcel management and use\n\u2022 Tenure and documentation\n\u2022 Conflict and perception of tenure security\n\u2022 Plot management\n\u2022 Crops\n\u2022 Certificate of occupancy interest\/value\n\u2022 Purchase land\n\u2022 Gender, awareness, and legal knowledge\n\u2022 Credit\n\u2022 Non crop farming household enterprises\/activities\n\u2022 Shocks and coping strategies\n\u2022 Welfare and food security\n\u2022 Decision making, bargaining, and social capital\n\u2022 Household assets\n\u2022 Animal assets\n\u2022 Livelihood and assets"},"method":{"data_collection":{"sampling_procedure":"Endline data collection took place in 2023. Wilsken Agencies LTD, a Ugandan research firm, conducted the endline data collection. An intensive 18-day-long interviewer training workshop for 60 interviewers was conducted between July 15 and August 10, 2023. Feedback from training allowed the team to improve the instruments and further adapt them to the local context before data collection.  \n\nFollowing training, a survey pre-test took place over two days beginning August 7, 2023 in four villages in Mityana District to give all team members direct experience using the survey instrument. The data collected from this pre-test also led to several minor improvements in the survey instrument.\n\nIn line with the requirements for human subject protection, the research team received approval from the Mildmay Research Ethics Committee Institutional Review Board on May 16, 2023. Verbal informed consent was received from each participant after reading a statement about the purpose of the research, the content of the survey, any risks or benefits, and the time commitment.\n\nTenant survey endline data collection took place from August 17 to September 30, 2023. The interviews with landlords commenced on Tuesday, September 19, 2023 and ended on October 26, 2023.\n\nAt endline, 1,593 tenant interviews were completed, representing a total attrition rate for the tenant survey of 37 percent from the baseline sample of 2,534 respondents. Attired baseline respondents were not replaced. The primary causes of attrition were household relocation to another area and refusals. Additional details are provided in the sections below. For the landlord survey, the data collection team was able to track and interview 179 respondents, representing about one-third of the unique landlord names collected in the study area.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The endline survey utilized three questionnaires: household, agriculture, and landlord. The questionnaires include the following sections:\nSection A - Baseline Household Identification\nSection B - Household Roster\nSection C - Wage Employment and Non-Market Labor Activities\nSection D - Housing Conditions, Water, and Sanitation\nSection E - Sources of Income, Financial Decision Making, Savings, Credit, Borrowing and Banking\nSection F - Parcel Management and Use\nSection G - Tenure and Documentation\nSection H - Conflict and Perception of Tenure Security\nSection I - Plot Management\nSection J - Crops\nSection K - Certificate of Occupancy Interest\/Value\nSection L - Purchase Land\nSection M - Gender Perceptions, Legal Knowledge and Conflicts\nSection N - Credit\nSection O - Non-Crop Farming Household Enterprise\/Activities\nSection P - Shocks and Coping Strategies\nSection Q - Welfare and Food Security\nSection R - Decision Making, Bargaining and Social Capital\nSection S - Household Assets\nSection T - Animal Assets\nSection U - Livelihood Assets","coll_situation":"Prior to starting data collection, field staff were trained for a period of approximately two weeks with practical sessions to introduce the concept of CAPI (Computer Assisted Personal Interviews) using survey solutions. \n\nThe field teams comprised of a driver, a supervisor, and four enumerators. Each enumerator had a tablet and each supervisor had either a tablet or a computer (laptop). All data was captured directly on tablets using SurveyCTO. The data collected was electronically sent to the research team daily.\n\nAs the survey was conducted through CAPI, the survey routing and many of the survey logic checks were automated and completed during fieldwork.\n\nField work started on the 15th of July 2023 and ended on the 26th of October 2023."},"method_notes":"The endline data collection effort utilized the following quality control measures: observation of interviewers by team leaders, daily quality control checks by the research team, and auditing\/re-interviewing of respondents. Team leaders and quality control supervisors often accompanied interviewers and sat in for part or all of their interviews. For team leaders, this happened at least once every day for one interviewee, and the supervisors accompanied two to three enumerators each time they accompanied a team of enumerators. The selection of the interviewers to observe was informed by the results of the audits and high-frequency checks. Audits occurred on 12 percent of surveys. The audit data was compared to the original data by the research team and the number of discrepancies were recorded. If a large number of discrepancies were found, additional training was offered to the enumerator. If necessary, additional targeted audits were used to investigate unusual patterns that could indicate data falsification. \n\nFinally, the most thorough checks were remote high-frequency checks conducted by the research team on 100 percent of all tenant surveys using SurveyCTO, the results of which the team compiled and shared with the survey firm. The high-frequency checks compared survey responses by each enumerator to search for patterns indicating data falsification or systematic errors that should be corrected, including short survey times, missing responses, a low average number of \"other, specify\" responses or multiple selections, and any other significant irregularities by day, geography, team, or interviewer.","analysis_info":{"response_rate":"At endline, 1,593 tenant interviews were completed, representing a total attrition rate for the tenant survey of 37 percent from the baseline sample of 2,534 respondents."}},"data_access":{"dataset_use":{"cit_req":"Heather Huntington (University of Pennsylvania), Kate Marple-Cantrell (The Cloudburst Group), and Daniel Ali Ayalew and Thea Hilhorst from the World Bank. Endline: Impact evaluation of the Improvement of Land Governance in Uganda to Increase Productivity of Small-Scale Farmers on Mailo-Land (ILGU) 2023. Ref: UGA_2023_ILGUIE-EL_v01_M. Dataset downloaded from [url] on [date].","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}