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Impact, Maintenance, and Sustainability of Irrigation Impact Evaluation Survey 2015-2018, Baseline, First, Second, Third Follow-up

Rwanda, 2015 - 2018
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Reference ID
RWA_2015-2018_LWHIE_v01_EN_M_V01_A_OCS
Producer(s)
Florence Kondylis, Maria Jones, John Loeser, Jeremy Magruder
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 09, 2020
Last modified
Nov 08, 2022
Page views
1401128
Downloads
4249
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    RWA_2015-2018_LWHIE_v01_EN_M_V01_A_OCS

    Title

    Impact, Maintenance, and Sustainability of Irrigation Impact Evaluation Survey 2015-2018, Baseline, First, Second, Third Follow-up

    Country
    Name Country code
    Rwanda RWA
    Study type

    Agricultural Survey [ag/oth]

    Series Information

    The Baseline and follow ups surveys are part of an impact evaluation of the Land Husbandry, Water Harvesting and Hillside Irrigation (LWH) Project in Rwanda. The Ministry of Agriculture in Rwanda (MinAgri) is implementing the LWH project with technical assistance from the World Bank. The LWH project ran from 2010 to 2018.

    Abstract

    The irrigation study context consists of 4 LWH hillside irrigation schemes and their surrounding terraced land across 5 districts of Rwanda. We use Spatial Regression Discontinuity analysis to capture the effects of irrigation. In the first 3 irrigation schemes (in Karongi and Nyanza), we use randomized control trials to document the impact of complementary interventions that have the potential to increase the returns and sustainability of irrigation. The complementary interventions included in the study are 1) providing demonstration minikits to a random subset of farmers, 2) providing irrigation subsidies to randomly selected farmers, and 3) empowering monitors in a randomly selected number of water user groups to keep operations and maintenance checklist and irrigation schedule. The baseline and 3 follow up surveys for the first 3 schemes (in Karongi and Nyanza) and the baseline and 1 follow up survey for the 4th site (Rwamagana) are documented here.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households, Plots of land

    Scope

    Notes

    The surveys covered the following topics:

    • Household geographic area identification
    • Household roster
    • Parcel and plot roster
    • Crop production
    • Irrigation
    • Labour on the household farm
    • Farm inputs
    • Extension
    • Housing
    • Farmer groups
    • Social network
    • Income and expenditure
    • Animals and assets
    • Rural finance
    • Credit
    • Shocks
    • Future expectations
    • Food security
    Topics
    Topic Vocabulary
    Agriculture & Rural Development FAO
    Food (production, crisis) FAO
    Land (policy, resource management) FAO

    Coverage

    Geographic Coverage

    The study covers 5 districts in Rwanda.

    • Karongi & Nyanza schemes: Districts of Karongi, Nyanza, Rutsiro, and Huye;
    • Rwamagana scheme: District of Rwamagana

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Florence Kondylis The World Bank
    Maria Jones The World Bank
    John Loeser The World Bank
    Jeremy Magruder University of Berkeley
    Funding Agency/Sponsor
    Name
    Global Agriculture Food Security Program
    International Initiative for Impact Evaluation
    International Growth Center

    Sampling

    Sampling Procedure

    For three of the sites that are being used for the spatial regression discontinuity analysis (K12, N23, and R34), we divided the site into 3 areas - CA buffer (BCA), CA Catchment buffer (BCAC), and CA terraces (TCA). BCA is the area inside of the CA (CA, below main canal) within 50m of the boundary of the CA. BCAC is the area in the CA Catchment (CAC, above main canal) within 50m of the boundary of the CA. TCA is the terraced farmland that is in the CA, but more than 50m from the boundary of the CA. The third site will be used for the within-CA experimental designs only, and as a result we focused our sampling in one area - the CA terraces (TCA).

    We constructed our household sampling by dropping a uniform grid of points across the full site at 2-meter resolution, and then sampling points within the grid. After each point was sampled, we excluded any points within 10m of that point (to keep from selecting multiple points too close together).
    Enumerators were then given GPS devices with the locations of the points, and sent to each point, with a key informant (often the village leader). For each point, they were asked to identify if the point was on cultivable land (this was to discard forest, swamps, thick bushes, bodies of water, or other terrain which would make cultivation impossible). They were asked to record, for points in cultivable land, in SurveyCTO, the following:

    1. The name of the point visited (which was displayed on the GPS);
    2. The name of the cultivator, the location of their residence, and their phone number;
    3. A description of the plot detailed enough that the cultivator would be able to identify the exact plot described

    Additionally, they were asked to save their GPS track at the end of the day, as a way of tracking the number of hours they spent checking points and to verify that they visited each point. We used the data from this listing to construct a roster of all the unique names of cultivators, clustering points together when the names seemed identical. This roster (which contained the name of the individual, their village and phone number, the descriptions of the plots, and the villages in which the plots were located (identified using village shapefiles) and were organized by village) were then used to contact village leaders and verify that the listed individuals in fact existed. Multiple follow-ups were sometimes needed when village leaders suggested that one individual lived in a different village, or multiple village leaders said an individual lived in their village.

    Finally, a sample plot was selected for each verified 2689 households. To select this sample plot, one point was randomly selected for each household. The probability of selecting a particular point was weighted - a weight of 1 was assigned to points in the BCA and BCAC, and a different weight was assigned for points in the TCA, to balance the number of sample plots in these areas.

    Weighting

    No information. Refer to dataset provided by World Bank Data.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2015-08-24 2015-10-27 Baseline (Karongi and Nyanza)
    2017-05-15 2017-06-27 Follow up 1 (Karongi and Nyanza)
    2017-11-13 2017-12-12 Follow up 2 (Karongi and Nyanza)
    2018-10-31 2018-12-04 Follow up 3 (Karongi and Nyanza)
    2018-01-23 2018-02-23 Baseline (Rwamangana)
    2018-12-05 2018-12-19 Follow up 1 (Rwamangana)

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO
    Access conditions

    Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:

    • The micro dataset will only be used for statistical and/or research purposes;
    • Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
    • The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
    • The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
    Citation requirements

    The use of the datasets must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator (including country name);
    • the full title of the survey and its acronym (when available), and the year(s) of implementation;
    • the survey reference number;
    • the source and date of download (for datasets disseminated online).

    Disclaimer and copyrights

    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

    Contacts

    Contacts
    Name Affiliation Email
    Florence Kondylis World Bank [email protected]
    Maria Jones World Bank [email protected]
    John Loeser World Bank [email protected]
    Jeremy Magruder University of Berkeley [email protected]

    Metadata production

    DDI Document ID

    DDI_RWA_2015-2018_LWHIE_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Development Economics Data Group The world Bank Documentation of the DDI
    Office of Chief Statistician Food and Agricultural Organisation Adoption of metadata for FAM

    Metadata version

    DDI Document version

    RWA_2015-2018_LWHIE_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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