Resilience Index Measurement and Analysis 2021 - Uganda
收藏microdata.fao.org2022-07-28 更新2025-01-16 收录
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Abstract
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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
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Regional coverage
Analysis unit
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Households
Universe
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Refugees and host community households (Households living near settlements)
Kind of data
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Sample survey data [ssd]
Sampling procedure
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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
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Computer Assisted Personal Interview [capi]
Research instrument
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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
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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
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为确保乌干达渐进式难民政策的在中长期内取得成功,难民的反应需促进其在国家发展议程中的融入。政策响应不再仅限于短期、救命干预,而应成为难民融入经济、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,以及增强接待地区吸收和管理这些资源能力的矢量。这种积极影响将惠及难民、接待社区和接待地区,从而迈向社会和经济融合。2017年8月,联合国粮食及农业组织(粮农组织)受乌干达难民专员(乌干达总理办公室,OPM)之邀,在难民定居点和接待社区内支持实施社会经济分析,旨在对难民当前粮食安全、福祉和恢复力进行全面评估。尽管乌干达难民被赋予土地和流动权,但其粮食安全水平仍较低,高度依赖食品援助。假设通过更好地理解难民偏好和生计策略,这些策略决定了其恢复力,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给自足。2021年乌干达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粮食安全与恢复力。该调查于2021年12月至2022年1月进行。
地理覆盖范围
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区域覆盖
分析单元
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家庭
总体
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难民和接待社区家庭(居住在定居点附近的家庭)
数据类型
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样本调查数据 [ssd]
抽样程序
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第四波的抽样策略是对2017年至2019年第一波调查中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%为替代和新家庭。
要构建面板,请参阅抽样文档和已发布在FAM目录中的数据的前几轮链接。请注意,所有轮次中可用的uhhidp变量将家庭与时间相连接,构建面板时应使用此变量。
数据收集方式
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计算机辅助个人访谈 [capi]
研究工具
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A部分:家庭详细信息
B1部分:家庭人口统计学
B2部分:其他家庭信息
C部分:家庭资产评估
Da部分:家庭服务获取
Db部分:能源和烹饪燃料
E部分:家庭支出和贷款
F(1)部分:家庭作物生产详情
F(2)部分:家庭蔬菜生产详情
N部分:牲畜和渔业
G(1)部分:食品消费模式
G(2)部分:应对策略
H(a)部分:家庭企业
H(b)部分:其他收入
W部分:家庭成员就业、以前的经济状况和当前工作状态
X部分:援助和转移
H(2)部分:参与社交网络、培训和企业的活动
S部分:社会凝聚力
J部分:冲击和灾害
K部分:COVID-19
K2部分:与健康相关的生命质量(EQ-5D)
数据清理操作
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数据通过计算机辅助个人访谈(CAPI)使用数字平板电脑收集。电子设备的使用缩短了访谈时间,限制了访谈和数据输入阶段的错误,并使家庭层面的地理信息系统(GIS)信息收集成为可能。数据通过Kobo Toolbox每日传输,这是一套用于在具有挑战性的环境中进行数据收集的软件工具,允许使用远程数据控制协议。
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