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Impact Evaluation of the Sustainable Land and Water Resource Management Project 2016-2019

Mozambique, 2016 - 2019
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Reference ID
MOZ_2016-2019_SLWRMPIE_v01_M
Producer(s)
Paul Christian
Metadata
DDI/XML JSON
Study website
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
Page views
338902
Downloads
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    MOZ_2016-2019_SLWRMPIE_v01_M

    Title

    Impact Evaluation of the Sustainable Land and Water Resource Management Project 2016-2019

    Country
    Name Country code
    Mozambique MOZ
    Abstract

    The main objective of this activity is to shed light on the transformative potential of smallholder irrigation in Mozambique. Irrigation is critical in ensuring sustainable livelihoods for farmers in the face of increasing climate uncertainty. Irrigation access allows farmers to cultivate crops outside of the main rainy season, potentially doubling farm incomes by allowing for the cultivation of two crop cycles instead of one. However, it is grossly underutilized in Sub-Saharan Africa, particularly in Mozambique where only 8 percent of all farmers have access to irrigation. Despite the transformative potential of irrigation, there are gaps in our understanding of how-to best plan and manage irrigation infrastructure programs. First, because irrigation infrastructure is never placed at random, the true impact of these investments on farmers’ welfare is not well known. Second, irrigation equipment is often not well managed and degrades easily over time from lack of maintenance. This impact evaluation proposes a novel strategy for simultaneously measuring a rigorous estimate of the returns to irrigation investments, as well as providing insight on how to choose participants of an irrigation infrastructure program such that the impact and sustainability of the irrigation infrastructure is maximized.

    Unit of Analysis

    Household and Community

    Version

    Version Description

    V01 - Edited, anonymized dataset for public distribution

    Version Date

    2023-08-15

    Scope

    Notes

    This dataset comprises the baseline, midline, and endline data collected under the SLWRMP impact evaluation by DIME in Gaza province in Mozambique.

    Coverage

    Geographic Coverage

    Gaza province. Districts of Guija, Mabalane, Chicualacuala, Massangena

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Paul Christian DIME1, World Bank

    Sampling

    Sampling Procedure

    The Sustainable Land Water Resource Management Project (SLWRMP) provides 55 small-scale irrigation kits in the southern province of Gaza, Bali. The project is implemented by the provincial agriculture offices in four districts along the Limpopo River and Save River, chosen for their elevated climate risk and suitability for irrigation infrastructure.

    The primary intervention is the provision of small-scale irrigation kits, each covering 5 or 10 hectares of land. The beneficiaries are designated a maximum of 0.5 hectares of land inside the kit, allowing 10 or 20 farmers to benefit, depending on the kit size. In addition to the physical infrastructure, the project provides training and monthly visits from district extension agents.

    The sampling design involves two steps: 1) selecting suitable areas for irrigation based on technical considerations, and 2) identifying participants within these areas. The selection process is randomized at community level, with some communities using the Smallholder Priority Protocol (PMT) and others using a Decentralized Community Meeting approach.

    Under the PMT, farmers are selected according to a fixed set of criteria for placing the schemes and priority is given to the smaller farmers in the community (between 0.5 and 1 hectare). In the Decentralized Community Meeting approach, communities have the freedom to decide on beneficiaries using subjective criteria provided by the project. Both groups were stratified at the district level, and the size of the kit was also taken into account to achieve equal representation in the four districts.

    Response Rate

    Household survey response rate of initial round sample:
    Baseline: 74%
    Midline: 89%
    Endline: 86%
    (replacements from the same sampling group were performed in each survey round)

    Data collection

    Dates of Data Collection
    Start End Cycle
    2016-07-19 2016-09-16 Household Baseline
    2016-05-31 2016-07-23 Community Baseline
    2018-10-29 2018-11-30 Household Midline
    2018-09-29 2018-10-10 Community Midline
    2019-10-31 2019-12-17 Household Endline
    2019-11-05 2019-12-18 Community Endline
    2018-09-29 2018-10-10 Kit Midline
    2019-11-01 2019-12-16 Kit Endline
    Mode of data collection
    • Computer Assisted Personal Interview [capi]

    Depositor information

    Depositor
    Name
    DIME

    Data Access

    Access authority
    Name Affiliation
    Development Impact (DIME) World Bank
    Steven Glover DIME
    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:
    Paul Christian (DIME1, World Bank). Mozambique - Impact Evaluation of the Sustainable Land and Water Resource Management Project 2016-2019 (SLWRMP 2016-2019). Ref: MOZ_2016-2019_SLWRMPIE_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
    Development Impact (DIME) World Bank dime@worldbank.org
    Steven Glover DIME sglover1@worldbank.org

    Metadata production

    DDI Document ID

    DDI_MOZ_2016-2019_SLWRMPIE_v01_M_WB

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

    2023-10-03

    Metadata version

    DDI Document version

    Version 01 (2023-10-03)

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