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eVoucher and Farmer Field School Impact Evaluation 2023
Midline Round

Mozambique, 2023
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Reference ID
MOZ_2023_FFSEVIE-ML_v01_M
Producer(s)
Florence Kondylis, John Loeser, Paul Christian, Astrid Zwager
Metadata
DDI/XML JSON
Study website
Created on
Jan 30, 2025
Last modified
Jan 30, 2025
Page views
279287
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302
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    MOZ_2023_FFSEVIE-ML_v01_M

    Title

    eVoucher and Farmer Field School Impact Evaluation 2023

    Subtitle

    Midline Round

    Country
    Name Country code
    Mozambique MOZ
    Study type

    1-2-3 Survey, phase 1 [hh/123-1]

    Series Information

    This is the Midline Round of the DIME eVoucher and FFS impact evaluations in Mozambique.

    Abstract

    Despite strong and sustained economic growth over the last two decades, poverty in Mozambique has remained high, particularly in rural areas. With over 80% of the population deriving its livelihood primarily from agricultural activities, the rural development and structural transformation agenda is central to poverty alleviation in Mozambique. In this context the European Union Delegation to Mozambique launched the PROMOVE Agribiz program, which aims to improve food security and the resilience of smallholder producers as well as boost rural competitiveness. The program is implemented across 10 districts in the rural areas of Nampula and Zambezia provinces.

    As part of the PROMOVE Agribiz program, FAO will roll-out its FFS and eVoucher interventions to increase access to extension services with the aim of increasing local awareness of sustainable land management practices and boost access and adoption of modern agricultural inputs. To shed light on different constraints to adoption, FAO and DIME coordinated the FFS and eVoucher intervention roll-out in such a way that it allows for the identification of the impact of the individual interventions as well as their complementarities, providing for a richer understanding of constraints to adoption more broadly. Intervention impacts are identified by comparing communities and households that are randomized into one of four groups: i) Receiving an FFS, ii) receiving eVouchers, iii) receiving both, and iv) receiving neither – the control group. The complete experimental sample includes 388 communities and 4630 households.

    Treatment assignment variables are embargoed until the study is complete.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household, individual

    Version

    Version Date

    2024-12

    Scope

    Notes

    The experimental sample includes 388 communities and 4630 households.

    Coverage

    Geographic Coverage

    The data collection took place in the Mozambican provinces of Nampula and Zambezia.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Florence Kondylis World Bank, DIME
    John Loeser World Bank, DIME
    Paul Christian World Bank, DIME
    Astrid Zwager World Bank, DIME
    Funding Agency/Sponsor
    Name Abbreviation Role
    European Union Delegation to Mozambique EUD Funder

    Sampling

    Sampling Procedure

    The sampling procedure for the program impact evaluation includes four steps:

    Step 1 – Identification of possible intervention communities.
    At the beginning of the program, the research team asked FAO to provide a list of extension agents (EAs) who would be responsible for identifying communities for intervention, and established the catchment for each EA. From this list, the research team assigned each EA, by random lottery, a pipeline of communities in which to establish a FFS or register farmers for eVouchers. Working with a total of 102 EAs, the team identified 799 potential intervention communities.

    Step 2 – Community level randomization.
    From the long-list of communities in each EA’s catchment, four communities were randomly assigned to compose the experimental sample. Each of these communities was then assigned to one of the following four groups receiving either:

    1. Farmer Field School
    2. eVoucher
    3. Farmer Field School + eVoucher
    4. Control group
      At that time, only 56 of the 97 EAs had all 4 experimental sample communities within range of an agrodealer participating in the FAO eVoucher program. In areas where there is no eVoucher coverage, the EA is assigned two FFS and two control communities. In total, the evaluation sample includes 388 communities. 15 EAs were later dropped from the IE due to performance issues.

    Step 3 – Within community identification of FFS interested participants.
    Participation in the FFS is voluntary and based on farmers expressing interest. This means that farmers who choose to participate are likely not representative of the average farmer in the community. To allow for identification of likely FFS participants in a similar way in both the FFS treatment and control groups, each of the EAs visited their four experimental communities to list community members interested in participating in a FFS group prior to the roll-out of the interventions. During the listing, communities were asked to also identify two likely FFS facilitators of each group. On average 29.3 members per community were listed as FFS interested participants.

    Step 4 – Within community farmer randomization of eVouchers.
    To allow for measurement of spillovers of eVouchers within communities, a second randomization was done to select treatment and control farmers within communities. This is done among both FFS likely participants and among other members of the community. To obtain a list of all members in the experimental communities, an extensive household listing was performed in October and November 2020. The identification of treatment and control eVoucher households within communities is done for all evaluation communities, not just those assigned to receive eVouchers. This permits the identification of the equivalent households in both treatment and control groups.

    The baseline survey sample is composed of all 388 evaluation communities. Within each community, 12 households are sampled from the following groups:

    1. FFS interested + eVoucher treatment (6 households)
    2. FFF interested + eVoucher control (3 households)
    3. Not FFS interested + eVoucher treatment (2 households)
    4. Not FFS interested + eVoucher control (1 household)

    Both likely facilitators from the FFS listing were prioritized to be included in the survey sample. Sampling weights are applied when translating our sample averages to community wide average or other combinations of groups with different sampling probabilities.

    Deviations from the Sample Design

    The research team could not obtain listing from two communities and one community only had 10 households.

    Response Rate

    Replacements were made whenever a household in the original sample could not be interviewed after three unsuccessfully attempts by the enumerators. Replacements were impact evaluation sample group specific, i.e., a household on the FFS interested list would be replaced by a household of that same status from the replacement list in that same community, maintaining the sample structure wherever possible. Replacement rate was around 4% of the original randomized sample.

    Survey instrument

    Questionnaires

    The survey was conducted in Portuguese. The questionnaire is available for download.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2023-06-29 2023-10-21 Midline
    Mode of data collection
    • Computer Assisted Personal Interview [capi]
    Data Collectors
    Name
    Austral
    Data Collection Notes

    Quality control Data quality was assured through DIME’s rigorous data quality protocols. Surveys were performed on tablet devices running SurveyCTO Collect data collection software. During the interview data consistency and quality is managed through a series of hard checks (e.g., all relevant questions must have an answer, age cannot be more than 120) and soft checks (e.g., enumerators receive a flag for unlikely but not impossible answers such reporting of plot areas larger than 5 ha). The DIME team performed immediate daily quality checks and inconsistencies are then sent back to the field teams for final verification. Each survey was recorded and randomly audited for each enumerator at several points throughout the data collection. Finally a short verification survey (backcheck) was applied to a random sample of 15% of household surveys. Cases in which fundamental responses were not aligned (such as the number of plots) were re-interviewed. These stringent data quality checks enabled DIME to identify that the first round of household data collection had not been collected properly, and terminated this phase in May 2021. The DIME team identified widespread cases of falsified data from a sample of enumerator audits and these cases invalidated the data collected until that point. The team of enumerators was replaced and a second round of data collection commenced from July 2021.

    Depositor information

    Depositor
    Name
    World Bank

    Data Access

    Access authority
    Name Affiliation Email
    Steven Glover World Bank DIME sglover1@worldbank.org
    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example:
    Florence Kondylis (World Bank, DIME), John Loeser (World Bank, DIME), Paul Christian (World Bank, DIME), Astrid Zwager (World Bank, DIME). Mozambique - eVoucher and Farmer Field School Impact Evaluation 2021, Midline Round. Ref: MOZ_2023_FFSEVIE-ML_v01_M. Downloaded from [uri] on [date].

    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
    Astrid Zwager World Bank DIME azwager@worldbank.org
    Steven Glover World Bank DIME sglover1@worldbank.org
    Bordalo Mouzinho World Bank DIME bmouzinho@worldbank.org

    Metadata production

    DDI Document ID

    DDI_MOZ_2023_FFSEVIE-ML_v01_M_WB

    Producers
    Name Abbreviation Affiliation Role
    Development Data Group DECDG World Bank Documentation of the study
    Date of Metadata Production

    2025-01-28

    Metadata version

    DDI Document version

    Version 01 (January 2025)

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