Data for: Urban Food and Nutrition Security Resilience through Urban Farming: A Circular Economy Approach
SND-ID: 2023-296. Version: 1. DOI: https://doi.org/10.5878/n65v-sv30
Is part of collection at SND: Environment for Development
Citation
Creator/Principal investigator(s)
Laura Barasa - University of Nairobi, School of Economics
Research principal
University of Gothenburg - Environment for Development, School of Business Economics and Law
Principal's reference number
MS-1154
Description
Data contains personal data
Yes
Type of personal data
Age, gender, occupation, region, district, number of household members
Language
Unit of analysis
Population
Households from Kibera informal settlement in Nairobi, Kenya
Time Method
Sampling procedure
This dataset belongs to a study that uses a cluster randomized trial (CRT) to investigate the impact of urban farming and using black soldier fly frass fertilizer (BSFFF) from recycled household waste for urban farming on food and nutrition security. The proposed interventions include two treatments: (1) multi-storey gardens (MSG) for planting vegetables including starter material and training on how to use (T1), and (2) MSG combined with BSFFF from recycled household waste, including starter material and training on use (T2).
We conducted a CRT in 150 enumeration areas (EAs) in six sub-locations that form the administrative boundary of the Kibera informal settlement. They included Kibera, Lindi, Makina, Gatwekera, Olympic/Kianda, and Laini Saba. Randomization was stratified according to sub-locations using a central computerized process. We recruited 25 EAs from the six sub-locations through the village elders and community health volunteers. The goal was to recruit 6 households from each of the 150 EAs to provide a sample size of at least 900 households. We conducted a mapping exercise and
We conducted a CRT in 150 enumeration areas (EAs) in six sub-locations that form the administrative boundary of the Kibera informal settlement. They included Kibera, Lindi, Makina, Gatwekera, Olympic/Kianda, and Laini Saba. Randomization was stratified according to sub-locations using a central computerized process. We recruited 25 EAs from the six sub-locations through the village elders and community health volunteers. The goal was to recruit 6 households from each of the 150 EAs to provide a sample size of at least 900 households. We conducted a mapping exercise and enrolled the households in May 2023. We than conducted the baseline in June 2023, and implemented the treatments in June and July. The endline was conducted in November 2023.
Randomization was performed at the enumeration area level because MSGs are relatively large and can serve several households. First, we identified all 150 enumeration areas within 6 sublocation in Kibera. We then randomly divided the 150 enumeration areas into three such that 50 enumeration areas received MSG (group 1), 50 enumeration areas received MSG and BSFF (group 2), and the remaining 50 enumerations areas were control group (group 3). We administered surveys to assess whether treatment and control groups had similar characteristics. We implemented MSG in every household in a treatment enumeration area (groups 1 and 2) and BSFFF was administered to all households within the BSFF treated enumeration area (group 2).
Within treatment enumeration areas, we offered the chance of every household installing MSG to grow their own vegetables.
Randomization of MSG across enumeration areas allows estimation of the overall effect of MSG on dietary and economic outcomes by comparing treatment and control enumeration areas, even in the presence of within-enumeration area externalities. Show less..
Time period(s) investigated
2023-07-06 – 2023-10-30
Variables
241
Number of individuals/objects
789
Weighting
Age, gender, education,
Response rate/participation rate
87%
Households that participated in both the baseline and endline.
Geographic spread
Geographic location: Kenya, Sub-Saharan Africa
Geographic description: Kibera is the largest urban informal settlement in sub-Saharan Africa located in Kenya, Nairobi County.
Lowest geographic unit
Electoral area
Highest geographic unit
County (NUTS 3)
Responsible department/unit
Environment for Development, School of Business Economics and Law
Commissioning organisation
University of Gothenburg - MS-1154
Ethics Review
Other - Ref. USIU-A/IRB/142-2023
Research area
Economics and business (Standard för svensk indelning av forskningsämnen 2011)
Economics (Standard för svensk indelning av forskningsämnen 2011)