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Cost benefit analysis of climate change: coping with risk, uncertainty and policymaker’s preference changes Roel Jongeneel (coord., LEI), Martijn vd Heide.

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Presentation on theme: "Cost benefit analysis of climate change: coping with risk, uncertainty and policymaker’s preference changes Roel Jongeneel (coord., LEI), Martijn vd Heide."— Presentation transcript:

1 Cost benefit analysis of climate change: coping with risk, uncertainty and policymaker’s preference changes Roel Jongeneel (coord., LEI), Martijn vd Heide (LEI, PBL), Kees van Kooten (Univ.of Victoria, Ca), René Verburg (LEI-WOT) SELS & KB2 4 November 2008

2 Project aims 1) SCBA methodology for climate change 2) How to apply SCBA to an ecosystems approach? 3) Valuation and its evolution: a critical assessment 4) A case study: water storage, biodiversity, bio- energy (climate change: adaptation & mitigation) 5) Risk assessment: explore different approaches (note) 6) Policy preference shifts and SCBA

3 SCBA methodology and climate change

4 Apply CBA to ecosystems approach Established conventional wisdom: don’t mix up direct and indirect effects (avoid biased measurement and flawed analysis) Main exemption: jointness in production (e.g. multifunctionality model of the EC) Ecosystem services: Connectedness / jointness Non linearities (complex interactions, tresholds, …) Uncertainties Ecosystem => functions => goods & services <= valuation

5 Valuation: critical assessment Public and private goods & services Public and private preferences (policy vs. people) The limits of aggregation Historical evolution of valuation techniques and some lessons drawn from this Critical assessment of some valuation studies

6 Case study: water, biodiversity, bio-energy Climate change: temperature & water Adaptation: phased deployment of water (storage/retention, river discharge, sea or IJsselmeer) Mitigation: renewable energy (10% in 2010; bio-energy share >40%) Biodiversity (WTP, AES) Water purification and buffer (drought)

7 Risk What is it: risk (some notion), uncertainty (unforeseen, unknowable a-priori), ‘in between’ (Bayesian probs might be constructable) Decision criteria No info: Pessimism (MaxMin), Optimism (MaxMax), Regret (Min MaxRegret) Info: Expected value, Expected opportunity cost Risk and SCBA (fuzzy CBA, MCA, …)

8 Shifting policy preferences Valuation and (relative) scarcity Interaction of supply, demand and policy Welfare economics: valuation depends on preferences (SWF) Example: bio-energy policy & food crises Examples: role ‘accidents’ in policy formation (risk, endogenous preferences)

9 Outputs Note on methodological issues Paper (scientific article submission) on case study Congress presentations (EAAE 2008 Ghent; paper + OS Climate Change) Toolkit (excel + matlab chain) Note on risk treatment Recommendations wrt to research agenda

10 Thank you / Questions © Wageningen UR


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