Evaluating economic costs and benefits of climate resilient livelihood strategies
Autor: | Jeffery D. Connor, I.K.D. Jaya, S. Liu, Aluh Nikmatullah, James R.A. Butler |
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Přispěvatelé: | Liu, S, Connor, J, Butler, JRA, Jaya, IKD, Nikmatullah, A |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Impact evaluation Geography Planning and Development lcsh:QC851-999 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Ecosystem services adaptation strategies Adaptation strategies Economic cost Economics Economic impact analysis 0105 earth and related environmental sciences Risk assessment Global and Planetary Change Cost–benefit analysis business.industry Environmental resource management risk assessment Environmental economics Livelihood Climate resilience Simulation modeling benefit cost analysis Benefit cost analysis Monte Carlo analysis lcsh:Meteorology. Climatology International development business |
Zdroj: | Climate Risk Management, Vol 12, Iss C, Pp 115-129 (2016) |
Popis: | A major challenge for international development is to assist the poorest regions to achieve development targets while taking climate change into account. Such 'climate resilient development' (CRD) must identify and implement adaptation strategies for improving livelihoods while also being cost-effective. While the idea that climate resilience and development goals should be compatible is often discussed, empirical evaluations of the economic impacts of actual CRD investments are practically non-existent. This paper outlines a framework to evaluate economic returns to CRD and applies it in two adaptation strategies trialed in Nusa Tenggara Barat Province, eastern Indonesia. The evaluation framework is composed of three models: a household benefit cost model, a diffusion model, and a regional benefit cost model. The models draw upon the impact evaluation, technology diffusion, and risk assessment literatures, respectively. The analyzes are based on expert opinion and locally-derived information, and hence can be applied in data-poor situations typical of developing countries. Our results explore economic costs and benefits at the household and regional scale, and we identify key input variables that greatly influence the economic returns of the strategies. These variables should therefore be a focus of ongoing investment. We also discuss how the framework is more generally applicable, its limitations including challenges in accounting for less tangible social and ecosystem service benefits, potentially leading to the underestimation of impacts, and how the approach should be complemented by qualitative methods. usc Refereed/Peer-reviewed |
Databáze: | OpenAIRE |
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