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    Home / Central Data Catalog / IMPACT_EVALUATION / MOZ_2020-2022_PROMAC-II_V01_M
impact_evaluation

Promotion of Climate Smart Agriculture II, 2020-2022

Mozambique, 2020 - 2022
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Reference ID
MOZ_2020-2022_PROMAC-II_v01_M
DOI
https://doi.org/10.48529/qher-9j51
Producer(s)
Andrew Brudevold-Newman, Claire Boxho, Joao Montalvao, Matheus Proenca, Michael O'Sullivan
Collection(s)
Impact Evaluation Surveys Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 27, 2026
Last modified
Apr 27, 2026
Page views
159997
Downloads
252
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Related datasets
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Access policy
  • Depositor information
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Citation
  • Identification

    Survey ID number
    MOZ_2020-2022_PROMAC-II_v01_M
    Title
    Promotion of Climate Smart Agriculture II, 2020-2022
    Abbreviation or Acronym
    PROMAC II 2020-2022
    Country/Economy
    Name Country code
    Mozambique MOZ
    Study type
    Other Household Survey [hh/oth]
    Series Information
    This data is composed of three rounds of household surveys (baseline, midline and endline) used in the impact evaluation study and published in the working paper Brudevold-Newman, A., Boxho, C., Montalvao, J., Proença, M., & O'Sullivan, M.(2026), Land Registration, Input Subsidies, and Agricultural Investment: Experimental Evidence from Women Farmers in Mozambique. Administrative data is also available for (i) the provision of input bundles; (ii) plot registration; and (iii) willingness-to-pay experiment outcomes.
    Abstract
    This dataset contains survey and administrative data collected for a randomized controlled trial evaluating the effects of land registration and agricultural input subsidies on women farmers in rural Mozambique. The data was collected to assess whether improving women’s land tenure security—through assistance with formal land registration—and easing constraints to agricultural investment—through a subsidized input package and agronomic training—affect agricultural investment, productivity, and related household and gender outcomes. The study cross-randomized two interventions at the individual level: (i) land registration assistance for a woman’s primary plot, resulting in a land-use certificate (DUAT) in her name (sole or joint), and (ii) provision of an agricultural input package and extension services targeted to the same woman farmer.

    The dataset includes a baseline household survey conducted prior to randomization, administrative data on intervention implementation, a willingness-to-pay experiment for the input package, and follow-up household surveys conducted approximately one and two years after intervention rollout.
    Kind of Data
    Sample survey data [ssd]
    Unit of Analysis
    Households

    Version

    Version Description
    Edited data, anonymized and packaged for public distribution.
    Version Date
    2026-04-02

    Coverage

    Geographic Coverage

    Mozambique, Province of Zambezia, District of Molumbo

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Andrew Brudevold-Newman World Bank – Africa Gender Innovation Lab
    Claire Boxho World Bank – Africa Gender Innovation Lab
    Joao Montalvao World Bank – Africa Gender Innovation Lab
    Matheus Proenca Paris School of Economics
    Michael O'Sullivan World Bank – Africa Gender Innovation Lab
    Funding Agency/Sponsor
    Name
    World Bank

    Sampling

    Sampling Procedure

    We conducted a baseline survey on the total sample of 1,063 farmers in 2020. We selected the sample among the PROMAC (Promotion of Climate Smart Agriculture) II Program’s existing participants and newly recruited households eligible to participate in the program. To be included in the sample, beneficiaries had to meet three eligibility criteria: (i) female-headed or married/cohabitating; (ii) own their land; and (iii) do not already have land-use titles. The subsequent two follow-up surveys were conducted in 2021 (midline) and 2022 (endline) on the same sample (with a response rate of ~90-95%)

    Survey instrument

    Questionnaires

    The data consists of responses from households to questions pertaining to (i) agricultural production and sales, crop choices, input usage, and farming practices; (ii) trees; (iii) social network in the community; (iv) women empowerment and intra-household bargaining; (v) household and farm assets; (vi) employment including off-farm; (vii) consumption; and (viii) perceived land tenure security. Whenever relevant, the agricultural module of the household questionnaire was collected at the season level rather than at the yearly level. Administrative data is also available for (i) the provision of input bundles; (ii) plot registration; and (iii) willingness-to-pay experiment outcomes.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2020-10 2020-10 Baseline
    2021-10 2021-10 Midline
    2022-09 2022-10 Endline
    2021 2022 Administrative data
    Data Collection Mode
    • Computer Assisted Personal Interview [capi]
    Data Collectors
    Name
    NCBA-Clusa
    Data Collection Notes

    The main mode of data collection was the use of a structured questionnaire. The respondent was provided with coded answers from which to choose. These questionnaires were administered by enumerators who visited the homes of the participating households at a time convenient for the respondents.

    Access policy

    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:
    Andrew Brudevold-Newman (World Bank – Africa Gender Innovation Lab), Claire Boxho (World Bank – Africa Gender Innovation Lab), Joao Montalvao (World Bank – Africa Gender Innovation Lab), Matheus Proenca (Paris School of Economics), Michael O'Sullivan (World Bank – Africa Gender Innovation Lab). Mozambique - Promotion of Climate Smart Agriculture II, 2020-2022 (PROMAC II 2020-2022). Ref: MOZ_2020-2022_PROMAC-II_v01_M. Downloaded from [uri] on [date].

    Access authority
    Name Affiliation
    Matheus Proenca PSE
    Claire Boxho World Bank

    Depositor information

    Depositor
    Name
    World Bank

    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
    Matheus Proenca PSE proenca.mat@gmail.com
    Claire Boxho World Bank cboxho@worldbank.org

    Metadata production

    DDI Document ID
    DDI_MOZ_2020-2022_PROMAC-II_v01_M_WB
    Producers
    Name Abbreviation Affiliation Role
    Development Data Group DECDG World Bank

    Documentation of the study

    Date of Metadata Production
    2026-04-27

    Metadata version

    DDI Document version
    Version 01 (2026-04-27)

    Citation

    Citation
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    Citation format
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