2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia)

<p align="justify">This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Doyogena Climate Smart Village (Ethiopia) in October 2019. </p>
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This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on:
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<ul>
<li>adoption of CSA practices and technologies, as well as access to climate information services and

<li>their related impacts at household level and farm level
</ul>
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This framework proposes standard Descriptive Indicators to track changes in:
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<ul type="circle">
<li>5 enabling dimensions that might affect adoption patterns, </li>

<li>a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and </li>

<li>4 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time). </li>

<li>At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars. </li>
</ul>
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This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time.
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The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services, CSA practices, Financial Services) connected to standard CSA metrics and the specific indicators.
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The framework responds to three main research questions:
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<ol>
<li value="1">Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? </li>

<li value="2">What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultural production, income, food security, food diversity and adaptive capacity) and on key gender dimensions (participation in decision-making, participation in CSA implementation and dis-adoption, control and access over resources and labour)? </li>

<li value="3">How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? </li>
</ol>
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NOTE: In the case of the 2019 Implementation in Doyogena only questions 1 and 2 where addressed (The “Calculator Modules” of the survey allowing assessing farm level effects of CSA practice on performance were not applied).