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<codeBook version="1.2.2" ID="NAM_2011_MCC-CBRLM_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_NAM_2011_MCC-CBRLM_v01_M</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="MCC" affiliation="" role="Metadata Producer">Millennium Challenge Corporation</producer>
      <prodDate date="2014-11-06">2014-11-06</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <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>
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  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Community-Based Rangeland and Livestock Management 2011-2012</titl>
      <subTitl/>
      <altTitl>MCC-CBRLM 2011-12</altTitl>
      <parTitl/>
      <IDNo>NAM_2011_MCC-CBRLM_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Innovations for Poverty Action</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-03-30">NADA</software>
      <fundAg abbr="MCC" role="">Millennium Challenge Corporation</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="Millennium Challenge Corporation" URI="" email="impact-eval@mcc.gov">Monitoring &amp; Evaluation Division</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Independent Impact Evaluation</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <topcClas vocab="MCC Sector" vocabURI="">Agriculture and Irrigation</topcClas>
    </subject>
    <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.</abstract>
    <sumDscr>
      <collDate date="2011-04-20" event="start" cycle="Household (Baseline)"/>
      <collDate date="2011-06-21" event="end" cycle="Household (Baseline)"/>
      <collDate date="2011-04" event="start" cycle="Games (Baseline)"/>
      <collDate date="2011-06" event="end" cycle="Games (Baseline)"/>
      <collDate date="2012-10" event="start" cycle="Cattle Assessment (Baseline)"/>
      <collDate date="2012-11" event="end" cycle="Cattle Assessment (Baseline)"/>
      <nation abbr="NAM">Namibia</nation>
      <geogCover>The CBRLM sub-activity covers parts of seven regions in northern Namibia: Kunene, Omusati, Oshana, Ohangwena, Oshikoto, Kavango East, and Kavango West.</geogCover>
      <geogUnit/>
      <anlyUnit>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.</anlyUnit>
      <universe>Cattle-owning households in the Northern Communal Areas of Namibia</universe>
      <dataKind>Sample survey data [ssd]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes/>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <dataCollector abbr="" affiliation="">AgriEnviro Consultants (Cattle Assessment)</dataCollector>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc>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.</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat>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.</deviat>
      <collMode/>
      <resInstru>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.</resInstru>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu>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.</collSitu>
      <actMin>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.</actMin>
      <ConOps/>
      <weight>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.</weight>
      <cleanOps>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."</cleanOps>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate>Cattle Assessment: 76%
Household: 78%</respRate>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI="http://data.mcc.gov/evaluations/index.php/catalog/138">Millennium Challenge Corporation</accsPlac>
      <origArch>Millennium Challenge Corporation
http://data.mcc.gov/evaluations/index.php/catalog/138
Cost: None</origArch>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <confDec required="no" formNo="" URI=""/>
      <restrctn/>
      <citReq>Innovations for Poverty Action. 2015. Evaluation Design Report For the Community Based Rangeland and Livestock Management Program in Namibia.</citReq>
      <deposReq/>
      <conditions/>
      <disclaimer/>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
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<dataDscr>
</dataDscr></codeBook>
