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Book (stand-alone)Self-evaluation and Holistic Assessment of Climate Resilience of Farmers and Pastoralists (SHARP)
A new guidance document for practitioners
2022Also available in:
No results found.This new guidance document provides updated guidelines and tools for development practitioners and researchers on the features and use of SHARP+, describing the tool as it is today. This document does not replace the previous “Self-evaluation and Holistic Assessment of climate Resilience of farmers and Pastoralists” methodological document published in 2015 which encompasses all the theoretical grounds of the tool. This guidance document also presents the latest version of the questionnaire, SHARP+ 2020, scoring system and tablet application based on the two technical reviews mentioned above. This document walks the reader through a step-by-step process to set up the SHARP+ assessment, adapt it to the local context, and use it to collect and analyse information about household resilience in the context of climate change. The new material presented is for use by practitioners in the future implementation of SHARP+ in the field. -
BookletSHARP: Integrating a traditional survey with participatory self-evaluation and learning for climate change resilience assessment 2016
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No results found.Climate change, population growth and social conflict have left many farmers and pastoralists in sub-Saharan Africa at near constant crisis conditions. Participatory climate resilience assessments can help farmer and pastoralist communities to identify, measure and prioritize actions to improve the climate resilience of their agricultural systems. SHARP has been developed as a dual-purpose tool, employing participatory methods to help farmers and pastoralists to discuss and understand threats an d opportunities, and to prioritize individual and collective actions aimed at improving overall resilience. Additionally, SHARP provides government and programme management with qualitative and quantitative information on a wide variety of important economic and development factors. The development of SHARP faces many challenges inherent to assessing resilience in terms of the complex nature and wide-reaching impacts of climate change. SHARP presents a unique assessment that combines resilience literature and indicators with a participatory self-assessment from the farmers and pastoralists. -
DocumentAdaptation to Climate Risk and Food Security: Evidence from Smallholder Farmers in Ethiopia 2015
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No results found.This paper explores the impact of climate risk on the adoption of risk decreasing practices and other input choices and evaluates their impact on subjective and objective measures of household welfare (namely net crop income and a food insecurity indicator). The analysis is conducted primarily using a novel data set that combines data from the large-scale and representative Ethiopia Socioeconomic Survey (ERSS), 2011/12 with historical climate and biophysical data. We employ a multivariate probit model on plot level observations to model simultaneous and interdependent adoption decisions and utilize a conditional mixed process estimator (CMP) and instrumental variable (IV) method for the impact estimates. Findings show that there is interdependency between the adoption decisions of different farm management practices which may be attributed to complementarities or substitutability between the practices. Greater riskiness, reflected in the coefficients of variation and higher temperature , increases use of risk reducing inputs such as climate-smart agriculture (CSA) inputs, but decrease use of modern inputs such as chemical fertilizer. Even if higher climate risk does generate higher incentive to adopt, results also confirm the importance of other conventional constraints to adoption that need to be addressed. Yield enhancing inputs such as chemical fertilizer and improved seed are mainly adopted by wealthier households and households having access to credit and extension servic es whereas risk reducing inputs are frequently used by households with lower level of wealth and limited access to credit and households with stable land tenure. Moreover, the CMP and IV estimations showed that the adoption of CSA and modern inputs have positive and statistically significant impacts on the objective measure of food security (net crop income) but no impact is observed for the subjective food security indicator.
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