Promotion of Climate Smart Agriculture II Impact Evaluation 2022
Endline Survey
Mozambique, 2022
Get MicrodataIdentification
MOZ_2022_PROMACIE-EL_v01_M
Promotion of Climate Smart Agriculture II Impact Evaluation 2022
Endline Survey
PROMACIE-EL 2022
| Name | Country code |
|---|---|
| Mozambique | MZ |
Multiple Indicator Cluster Survey - Round 3 [hh/mics-3]
Recognizing the national titling agenda and the importance of strengthening land rights to promote long-term agricultural investments, the National Cooperative Business Association CLUSA (NCBA CLUSA) incorporated a gender-targeted land-use title component into their Promotion of Climate Smart Agriculture (PROMAC) II Program. The program used the Cadasta Foundation’s spatial data collection system to demarcate and process land-use titles. NCBA CLUSA also developed a long-term investment bundle to assist household investment in their newly secure land, providing fruit trees and other inputs to program households.
The World Bank Africa Gender Innovation Lab is conducting a rigorous impact evaluation of the titling and long-term investment bundle components implemented under PROMAC II to measure their respective impacts on land tenure security, women’s economic empowerment, agricultural productivity, and food security. This study will inform the design of future land regularization efforts and examine whether additional constraints are limiting household investments.
These data represent the third round of data collection (endline) for the impact evaluation. The sample comprises 970 smallholder farmers in Molumbo district in Zambézia Province
Sample survey data [ssd]
The unit of analysis is farmer or plot or individual depending on the survey section.
Version
Version 01: Edited data, anonymized and packaged for public distribution.
Coverage
Mozambique, Province of Zambezia, District of Molumbo
Producers and sponsors
| Name | Affiliation |
|---|---|
| Claire Boxho | World Bank – Africa Gender Innovation Lab |
| Andrew Brudevold-Newman | World Bank – Africa Gender Innovation Lab |
| Joao Montalvao | World Bank – Africa Gender Innovation Lab |
| Name |
|---|
| The World Bank |
| Name |
|---|
| NCBA-CLUSA |
| Cadasta Fondation |
Sampling
The endline sample comprises 970 smallholder farmers living in Molumbo district in the Zambezia Province in Mozambique. To define the sample, we partnered with two NGOs, NCBA-CLUSA and the Cadasta Fondation. 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 response rate for this midline survey is 91% (970 farmers responded out of 1,063 total sample).
Survey instrument
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.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2022-09 | 2022-10 | Endline |
- Computer Assisted Personal Interview [capi]
| Name |
|---|
| Austral |
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.
Data processing
Data was anonymized through decoding and local suppression.
Data Access
| Name | Affiliation |
|---|---|
| Claire Boxho | World Bank |
| Andrew Brudevold-Newman | World Bank |
| Joao Montalvao | World Bank |
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
Disclaimer and copyrights
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.
Metadata production
DDI_MOZ_2022_PROMACIE-EL_v01_M
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank Group | Documentation of the DDI |
2025-07-03
Metadata version
Version 01 (July)