Results-based monitoring and evaluation for the Africa climate smart agriculture alliance
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Date
2017
Authors
Mthunzi, Talentus
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Abstract
Little is known about Climate Smart Agriculture Results Based Monitoring and
Evaluation (CSA RBM&E) frameworks that are essential for measuring the outcomes
and impacts of interventions like Climate Smart Agriculture. FAO (2013) and Sanahuja
(2011) outline that measuring climate change related initiatives like CSA is a highly
complex and contended issue. There is no single approach in assessment, monitoring
and evaluation of climate change interventions like Climate Smart Agriculture. The
purpose of the research was therefore to analyse different types of climate change
related monitoring and evaluation frameworks and recommend a Climate Smart
Agriculture results-based monitoring and evaluation framework for the NEPAD
International Non-Governmental Organisations (iNGO) Africa Climate Smart
Agriculture Alliance. A qualitative research approach within a case study design was
utilised for the study. Fifteen key informants who are experts in development work,
climate change, climate smart agriculture, agriculture and monitoring and evaluation
were interviewed. The data generated from the respondents show that CSA impacts,
outcomes and outputs are anchoring on five distinct key result areas that may be
measured by use of proxy indicators. The key results areas are the concepts underlying
the development of CSA results-based monitoring and evaluation framework and are
proxies for adaptation or resilience and mitigation hence the need to measure them
through proxy indicators. The concepts are agriculture productivity, environmental
health, economic stability, policy integration and social stability.
Description
Thesis presented in 50% fulfilment for the degree of Master of
Management (in the field of Public Sector Monitoring and
Evaluation) to the Faculty of Commerce, Law, and Management, University of the Witwatersrand, March 2017
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Citation
Mthunzi, Talentus, (2017) Results-based monitoring and evaluation for the Africa Climate Smart Agriculture Alliance, University of the Witwatersrand, Johannesburg, https://hdl.handle.net/10539/28586