MOZ_2020-2022_PROMAC-II_v01_M
Promotion of Climate Smart Agriculture II, 2020-2022
PROMAC II 2020-2022
| Name | Country code |
|---|---|
| Mozambique | MOZ |
Other Household Survey [hh/oth]
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.
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.
Sample survey data [ssd]
Households
Edited data, anonymized and packaged for public distribution.
2026-04-02
Mozambique, Province of Zambezia, District of Molumbo
| 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 |
| Name |
|---|
| World Bank |
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%)
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.
| Start | End | Cycle |
|---|---|---|
| 2020-10 | 2020-10 | Baseline |
| 2021-10 | 2021-10 | Midline |
| 2022-09 | 2022-10 | Endline |
| 2021 | 2022 | Administrative data |
| Name |
|---|
| NCBA-Clusa |
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.
| Name |
|---|
| World Bank |
| Name | Affiliation |
|---|---|
| Matheus Proenca | PSE |
| Claire Boxho | World Bank |
Use of the dataset must be acknowledged using a citation which would include:
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].
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.
| Name | Affiliation | |
|---|---|---|
| Matheus Proenca | PSE | proenca.mat@gmail.com |
| Claire Boxho | World Bank | cboxho@worldbank.org |
DDI_MOZ_2020-2022_PROMAC-II_v01_M_WB
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Documentation of the study |
2026-04-27
Version 01 (2026-04-27)