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| Isik, Murat. |
| This paper develops theoretical and empirical models to understand how farmers formulate their participation strategies when deciding to enroll in the Conservation Reserve Program (CRP) under uncertainty. A theoretical model is employed to obtain the impacts of various factors on the optimal bidding strategies. A selectivity-based econometric model is then used to estimate the probability of enrollment and determinants of rental payments. The theoretical results indicate that the optimal bid is positively related to the expected farming income and environmental benefit scores, and it is negatively related to the degree of risk aversion and the variability of returns. The econometric model shows that land benefits, land attributes, farmer... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Conservation programs; Land retirement; Risk aversion; Uncertainty.; Farm Management. |
| Ano: 2005 |
URL: http://purl.umn.edu/19264 |
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| Stirling, Andy C.; Science and Technology Policy Research, University of Sussex; a.c.stirling@sussex.ac.uk; Scoones, Ian; Institute for Development Studies, University of Sussex; i.scoones@ids.ac.uk. |
| Governance of infectious disease risks requires understanding of often indeterminate interactions between diverse, complex, open, and dynamic human and natural systems. In the face of these challenges, worldwide policy making affords disproportionate status to “ science-based” risk-assessment methods. These reduce multiple, complex dimensions to simple quantitative parameters of “outcomes” and “probabilities,” and then re-aggregate across diverse metrics, contexts, and perspectives to yield a single ostensibly definitive picture of risk. In contrast, more precautionary or participatory approaches are routinely portrayed as less rigorous, complete, or robust. Yet, although conventional... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Ambiguity; Ignorance; Participation; Precaution; Risk; Uncertainty.. |
| Ano: 2009 |
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| Payne, Mark R.; Barange, Manuel; Cheung, William W. L.; Mackenzie, Brian R.; Batchelder, Harold P.; Cormon, Xochitl; Eddy, Tyler D.; Fernandes, Jose A.; Hollowed, Anne B.; Jones, Miranda C.; Link, Jason S.; Neubauer, Philipp; Ortiz, Ivonne; Queirós, Ana M.; Paula, José Ricardo. |
| Projections of the impacts of climate change on marine ecosystems are a key prerequisite for the planning of adaptation strategies, yet they are inevitably associated with uncertainty. Identifying, quantifying, and communicating this uncertainty is key to both evaluating the risk associated with a projection and building confidence in its robustness. We review how uncertainties in such projections are handled in marine science. We employ an approach developed in climate modelling by breaking uncertainty down into (i) structural (model) uncertainty, (ii) initialization and internal variability uncertainty, (iii) parametric uncertainty, and (iv) scenario uncertainty. For each uncertainty type, we then examine the current state-of-the-art in assessing and... |
| Tipo: Text |
Palavras-chave: Climate change; Initialization uncertainty; Parametric uncertainty; Projections; Scenario uncertainty; Structural uncertainty; Uncertainty.. |
| Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00301/41220/40392.pdf |
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