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Community-Based Rangeland and Livestock Management 2011-2012

Namibia, 2011 - 2012
Reference ID
NAM_2011_MCC-CBRLM_v01_M
Producer(s)
Innovations for Poverty Action
Metadata
DDI/XML JSON
Created on
Jul 07, 2015
Last modified
Mar 29, 2019
Page views
3390
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  • Study Description
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  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Access policy
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NAM_2011_MCC-CBRLM_v01_M

    Title

    Community-Based Rangeland and Livestock Management 2011-2012

    Country
    Name Country code
    Namibia NAM
    Study type

    Independent Impact Evaluation

    Abstract

    This is a mixed methods impact evaluation that randomly assigned which geographic areas were eligible to receive the program. The quantitative data collection and analysis conducted for the study will be complemented by qualitative information.

    Innovations for Poverty Action (IPA) has been tasked with a mixed methods evaluation of the Community-Based Rangeland and Livestock Management (CBRLM) program, a sub-activity of the Namibia Compact, with a major component of the evaluation being a randomized controlled trial (RCT). The CBRLM program is a multi-year intervention implemented by GOPA Consortium which looks to benefit cattle farmers in the northern part of the country through technical assistance in the areas of community development, rangeland management, livestock management, livestock marketing, and targeted infrastructure support (including substantial investment in water access). At the heart of the program are a series of community-based natural resource management strategies that look to mitigate persistent ‘tragedy of the commons’ type problems that have the potential to negatively impact livelihoods, rangeland, and livestock in the region.

    Currently, however, there is limited rigorous evidence on the effectiveness of community-based natural resource management programs of this kind. Expert opinion is divided on everything from the sustainability and scalability of the approach to the necessary set of enabling conditions. Still, the popularity of community-based interventions continues to grow. Therefore, this evaluation represents an excellent opportunity to substantially guide policy-making using sound evidence, both in Namibia and in other low-to-medium income countries.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Individuals within Rangeland Intervention Areas (RIAs), which are intervention zones with commonly agreed upon boundaries, common authority, and predefined (by the program implementer) characteristics such as fencing and accessibility.

    Scope

    Topics
    Topic Vocabulary
    Agriculture and Irrigation MCC Sector

    Coverage

    Geographic Coverage

    The CBRLM sub-activity covers parts of seven regions in northern Namibia: Kunene, Omusati, Oshana, Ohangwena, Oshikoto, Kavango East, and Kavango West.

    Universe

    Cattle-owning households in the Northern Communal Areas of Namibia

    Producers and sponsors

    Primary investigators
    Name
    Innovations for Poverty Action
    Funding Agency/Sponsor
    Name
    Millennium Challenge Corporation

    Sampling

    Sampling Procedure

    The 41 RIAs in our sample were randomly assigned to either Treatment or Control. For primarily political reasons, the RIAs were stratified on a single variable: affiliation with a Traditional Authority (TA). This was to ensure that at least half of every politically-sensitive TA was included in the CBRLM intervention. IPA then checked whether random assignment was correlated with any of the variables identified by GOPA as potentially important determinants of the intervention's success. If a nontrivial level of correlation was detected, we re-randomized the sample and then reran the balancing diagnostics until stratified, balanced lists were produced.

    Deviations from the Sample Design

    The original sampling strategy for data collection - i.e., the strategy that was followed at baseline - was ultimately deemed unviable due to insufficient overlap between the areas surveyed at baseline and the areas of program implementation. As a result, IPA has endeavored upon a revised sampling strategy, which was completed in 2014.
    The original sampling strategy was based on GOPA's ex-ante expectations of where the organization would generally focus its early implementation efforts (i.e., the "green areas"). However, over the course of 2011 it became apparent that many of GOPA's actual implementation efforts were happening outside of these pre-identified areas. Therefore, in November of 2011, MCC and MCA-Namibia helped convene a series of meetings in which IPA and GOPA used ArcGIS mapping technology to roughly estimate the level of take-up in "green areas" versus non-"green areas" within treatment RIAs. The key take-away from these meetings was that the upper bound for take-up in "green areas" was approximately 25%, which fell well short of the 70% take-up rate upon which the initial statistical power calculations had been based.

    Response Rate

    Cattle Assessment: 76%
    Household: 78%

    Weighting

    Household: In order to analyze poverty on a per capita basis, weights first had to be created for the household. Using the Namibian Central Bureau of Statistics 2008 Review of Poverty and Inequality in Namibia, a weight of 0.5 was assigned to children under the age of 5; 0.75 to children between the ages of 5 and 16; and 1 to persons over the age of 16. To control for 58 | Livestock Ownership and Livelihood Baseline Survey Report economies of scale, the weight assigned to the household was raised to 0.9 as suggested by Deaton and Zaidi for poorer, agricultural economies where the majority of consumption expenditure go to food stuffs.

    Survey instrument

    Questionnaires

    Cattle Assessment: The Baseline CBRLM Cattle Assessment was designed to capture both cattle-level variables (e.g., age, sex, weight, etc) as well as information about the herd and family husbandry practices of the owner or caretaker respondent. The questionnaire design was led by IPA with input from MCC, MCA-N, and GOPA. In order to adequately capture information on the herds, two instruments were created: one that captured self-reported herd information from the farmer or caretaker respondent, and a second which captured cattle data. In addition to the instruments, the survey teams were provided with physical scoring sheets which contained examples of different cattle conditions in an attempt to standardize condition scores across enumerators.

    Household: The CBRLM household questionnaire was designed to better understand rangeland management practices and household wellbeing in respondent areas in order to improve the success of projects meant to support farmers in local communities. The questionnaire was developed by NORC with coordination with IPA and MCA-N as well as comment by other stakeholders. A second questionnaire for the village head was developed by IPA to determine payout for the behavioural activities.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2011-04-20 2011-06-21 Household (Baseline)
    2011-04 2011-06 Games (Baseline)
    2012-10 2012-11 Cattle Assessment (Baseline)
    Data Collectors
    Name
    AgriEnviro Consultants (Cattle Assessment)
    Supervision

    The in-field training was monitored by the SW Field Manager, NORC staff, MCA-N personnel, and IPA staff. The first week and a half of the field period was monitored by IPA staff as well as monitoring by the SW Field Manager. A second field monitoring trip was taken by both IPA staff and the SW Field Manager. A third party Data Quality Review (DQR) Team was present for the in-field training as well as a separate review during the third week of data collection.

    Data Collection Notes

    The core of the qualitative piece of the evaluation is focus group discussions overseen by trained moderators and note-takers. Each focus group discussion includes roughly 6 to 12 individuals from two (and sometimes three) proximate GAs to ensure broad representation and provoke conversation about different experiences. Moderators use a focus group script with between 10 and 15 questions (i.e., 120 to 160 minutes-worth of questioning), including pre-designed probes to elicit deeper discussion about key issue areas.

    Data collection for the Baseline CBRLM Cattle Assessment was done using an electronic surveying method, in this case, netbooks and Blaise software.

    Data processing

    Data Editing

    The surveys were completed using paper surveys. The data was subsequently double entered and cleaned by Survey Warehouse using the programme Epi Data. Questionnaires missing items on the critical item check-list were still data entered, but flagged as incomplete."

    Access policy

    Location of Data Collection

    Millennium Challenge Corporation

    Archive where study is originally stored

    Millennium Challenge Corporation
    http://data.mcc.gov/evaluations/index.php/catalog/138
    Cost: None

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required?
    no
    Citation requirements

    Innovations for Poverty Action. 2015. Evaluation Design Report For the Community Based Rangeland and Livestock Management Program in Namibia.

    Contacts

    Contacts
    Name Affiliation Email
    Monitoring & Evaluation Division Millennium Challenge Corporation impact-eval@mcc.gov

    Metadata production

    DDI Document ID

    DDI_NAM_2011_MCC-CBRLM_v01_M

    Producers
    Name Role
    Millennium Challenge Corporation Metadata Producer
    Date of Metadata Production

    2014-11-06

    Metadata version

    DDI Document version

    Version 1.0 (2014-11-06)
    Version 2.0 (April 2015). Edited version based on Version 01 (DDI-MCC-NAM-IE-AG1-2014-v1) that was done by Millennium Challenge Corporation.

    Version notes

    The program focused on cattle-owning households in the Northern Communal Areas of Namibia.

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