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Resilience Index Measurement and Analysis 2021 - Uganda

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microdata.worldbank.org2023-02-06 更新2025-01-22 收录
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Abstract --------------------------- In order to make the progressive Uganda refugees policy successful in the medium- and long-term, the refugees’ response needs to facilitate their inclusion in the country’s development agenda. No longer focusing exclusively on short-term, life-saving interventions, the response should act as a vector for refugees’ integration in the economy; improving the management of land, water, and natural resources; exploiting the socio-economic opportunities associated with the refugees’ presence, skills, and development; and strengthening the hosting districts’ capacity to absorb and manage these resources. The positive impact would affect refugees, host communities, and hosting districts alike, thus moving towards social and economic integration. In August 2017, FAO was asked by the Commissioner for Refugees (Office of the Prime Minister of Uganda, OPM) to support the implementation of a socio-economic analysis within the refugees’ settlements and host communities, with the aim of providing a comprehensive assessment of the current state of the refugees’ food security, well-being and resilience. Although refugees in Uganda are given land and mobility rights, their food security remains low, with a high dependency on food aid. The assumption was that by better understanding refugees’ preferences and livelihoods strategies which determine their resilience, it would be possible to unlock the development potential of the land, increase productivity and help them achieve independence and self-reliance. The Uganda 2021 Resilience Index Measurement and Analysis (RIMA) measures the food security and resilience of refugees and host communities in 11 Ugandan districts. The survey was administered between December 2021 and January 2022. Geographic coverage --------------------------- Regional coverage Analysis unit --------------------------- Households Universe --------------------------- Refugees and host community households (Households living near settlements) Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- The sampling strategy of the fourth wave was to re-interview all the refugee and host households interviewed in the first wave (between 2017 and 2019) plus the households in the Koboko district visited for the first time in December 2019. The final dataset for the fourth round is composed of 5,636 of which 77 percent (4,343 households) are traceable within the panel) and 23 percents are replacements and new households in the panel. To construct the panel, refer to the sampling documentation and links to the previous rounds of the data already published on the FAM catalogue. Note that the uhhidp variable available in all the rounds links households over time and should be used when constructing the panel. Mode of data collection --------------------------- Computer Assisted Personal Interview [capi] Research instrument --------------------------- Section A: Household details Section B1: Household Demographics Section B2: Other Household info Section C: Household Assets Assessment Section Da: Household access to services Section Db: Energy and cooking fuels Section E: Household expenditure and loans Section F(1): Household Crop production details Section F(2): Household vegetable production details Section N: Livestock and fishing Section G(1): Food consumption patterns Section G(2): Coping Strategies Section H(a): Household enterprise Section H(b): Other income Section W: Household Member Employment, Previous Economic Situation and Current Work Status Section X: Assistance and transfers Section H(2): Participation in Social Networks, Trainings and Enterprises Section S: Social cohesion Section J: Shocks and hazards Section K: COVID-19 Section K2: Health Related Quality of Life (EQ-5D) Cleaning operations --------------------------- The data were collected through computer-assisted personal interviewing (CAPI) with digital tablets. The use of electronic devices reduces the duration of interviews, limits errors during the interview and data entry phases, and enables the collection of geographic information system (GIS) information at the household level. The data were transmitted daily through Kobo Toolbox, a suite of software tools for data collection in challenging environments, allowing for the use of remote data control protocols.

摘要 --------------------------- 为使乌干达渐进式难民政策在中长期内取得成功,难民的反应需促进其融入国家的发展议程。政策不再仅限于短期救命干预,而应作为难民融入经济、改善土地、水资源和自然资源的管理、利用难民在场、技能和发展所带来的社会经济机会以及加强接待地区吸收和管理这些资源的作用。这种积极影响将惠及难民、东道主社区和接待地区,从而迈向社会和经济融合。2017年8月,乌干达难民专员(乌干达总理办公室,OPM)要求联合国粮食及农业组织(FAO)支持在难民定居点和接待社区内实施社会经济分析,旨在对难民当前的食物安全、福祉和恢复力进行全面评估。尽管乌干达难民享有土地和流动性权利,但其食物安全仍然较低,高度依赖食物援助。假设通过更好地理解难民偏好和生计策略,这些策略决定了他们的恢复力,就有可能释放土地的发展潜力,提高生产力,并帮助他们实现独立和自力更生。乌干达2021年恢复力指数测量与分析(RIMA)衡量了11个乌干达地区难民和接待社区的食物安全和恢复力。该调查于2021年12月至2022年1月进行。 地理覆盖范围 --------------------------- 区域覆盖 分析单元 --------------------------- 家庭 总体 --------------------------- 难民和接待社区家庭(居住在定居点附近的家庭) 数据类型 --------------------------- 样本调查数据 [ssd] 抽样程序 --------------------------- 第四波的抽样策略是对在第一波(2017年至2019年)中接受采访的所有难民和接待家庭进行再访谈,以及2019年12月首次访问的科博科地区家庭。第四轮的最终数据集由5,636个样本组成,其中77%(4,343个家庭)可在面板中追踪,23%为替换和新的面板家庭。 要构建面板,请参阅抽样文档和已发布在FAM目录上的数据的前几轮链接。请注意,所有轮次中都存在的uhhidp变量将家庭与时间链接起来,构建面板时应使用该变量。 数据收集方式 --------------------------- 计算机辅助个人访谈 [capi] 研究工具 --------------------------- 部分A:家庭详情 部分B1:家庭人口统计学 部分B2:其他家庭信息 部分C:家庭资产评估 部分Da:家庭服务获取 部分Db:能源和烹饪燃料 部分E:家庭支出和贷款 部分F(1):家庭农作物生产详情 部分F(2):家庭蔬菜生产详情 部分N:畜牧业和渔业 部分G(1):食物消费模式 部分G(2):应对策略 部分H(a):家庭企业 部分H(b):其他收入 部分W:家庭成员就业、先前经济状况和当前工作状况 部分X:援助和转移 部分H(2):参与社会网络、培训和企业的活动 部分S:社会凝聚力 部分J:冲击和灾害 部分K:COVID-19 部分K2:与健康相关的生命质量(EQ-5D) 数据清洗操作 --------------------------- 数据通过计算机辅助个人访谈(CAPI)和数字平板电脑收集。电子设备的使用缩短了访谈时间,限制了访谈和数据录入阶段中的错误,并允许收集家庭层面的地理信息系统(GIS)信息。数据通过Kobo Toolbox每日传输,Kobo Toolbox是一套用于在恶劣环境中收集数据的软件工具,允许使用远程数据控制协议。
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