Abstract
Climate adaptive capacity-building initiatives and activities in developing countries, particularly those implemented by developmental agencies and international organizations, commonly focus on the upstream direct adaptive capacity-building needs of targeted vulnerable sectors. However, overlooking a holistic climate-adaptive capacity-building of a vulnerable sector down to the last link of its value chain renders inadequate contribution, jeopardizes the adaptation intervention, and prevents achieving a high level of buy-in of the chain actors for the results of the sought capacity-building programs. Thus, this study developed a hybrid system-wide and participatory (focus groups-based) multi-criteria decision analysis (MCDA) to conduct adaptive-capacity needs assessments for the actors of the agribusiness value chain of the developing country of Jordan. Our holistic approach enabled highlighting the sector's climate vulnerability along the value chain, conducting self-regulated adaptive training needs assessment (TNA) of the sector's actors and identifying and prioritizing their real adaptive capacity-building needs. This approach proved to be uniquely advantageous in comparison to the sector's commonly used questionnaire-based surveys that are limited-participatory, researcher-regulated, and subsystem-oriented approaches. The advantages of this hybrid hands-on and wide-ranging MCDA–TNA approach are evident from its revelation of unique results. The approach enabled actors of such a highly vulnerable sector to spontaneously identify and prioritize the indirect downstream climate adaptive capacity-building needs surprisingly over the direct needs. This is because the actors considered the indirect needs more important to their businesses and livelihoods than the direct needs, thus considering the indirect needs as “post-requisites” of the fate of the direct upstream needs. The hybrid approach also enabled the beneficiaries to formulate the intervention outcomes, unveil the factors ignored by the conventional researcher-controlled approaches, secure high buy-in of the self-attained results, and prioritize the actual adaptive capacity-building demands. This robust combination of qualitative research methods and tools could be straightforwardly applied to design and conduct efficient and cost-effective adaptive capacity-building programs, especially during time-restricted and resource-limited interventions. The results of such types of quick and cost-effective qualitative investigations of adaptive capacity-building needs could be considered a preliminary and a first step toward deeper and more extensive quantitative studies, if needed.
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