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The Problem of Fit: Scenario Planning and Climate Change Adaptation in the Public Sector

Author

Listed:
  • Lauren Rickards
  • John Wiseman
  • Taegen Edwards
  • Che Biggs

    (Victorian Eco-Innovation Lab (VEIL), The University of Melbourne, Faculty of Architecture, Building and Planning, Old Commerce Building, University of Melbourne Victoria, Australia 3010)

Abstract

Adapting to climate change is a new responsibility for state and local government. Yet there is little clarity about what is involved, beyond an expectation of acting in a rational, informed manner. This paper presents a study from Victoria, Australia into public servants' perceptions and experiences of using scenario techniques for adaptation. It suggests that while scenario development is often positive for those involved, utilising scenarios to directly ‘inform’ adaptation decision making is more difficult. It seems that scenarios are a valuable but awkward form of evidence in the contemporary environment of evidence-based adaptation, introducing new substantive knowledge in an unfamiliar form, easily dismissed on credibility, legitimacy, and salience grounds. While scenario thinking is a good fit with climate change adaptation, it clashes with the predictive paradigm underlying the evidence-based decision-making model. This suggests that, for adaptation to better fit the institutional environment, alterations to the latter are needed.

Suggested Citation

  • Lauren Rickards & John Wiseman & Taegen Edwards & Che Biggs, 2014. "The Problem of Fit: Scenario Planning and Climate Change Adaptation in the Public Sector," Environment and Planning C, , vol. 32(4), pages 641-662, August.
  • Handle: RePEc:sae:envirc:v:32:y:2014:i:4:p:641-662
    DOI: 10.1068/c12106
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    References listed on IDEAS

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    Cited by:

    1. Wright, George & Cairns, George & O'Brien, Frances A. & Goodwin, Paul, 2019. "Scenario analysis to support decision making in addressing wicked problems: Pitfalls and potential," European Journal of Operational Research, Elsevier, vol. 278(1), pages 3-19.
    2. Cairns, George & Wright, George & Fairbrother, Peter & Phillips, Richard, 2017. "‘Branching scenarios’ seeking articulated action for regional regeneration – A case study of limited success," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 189-202.
    3. Hussain, M. & Tapinos, E. & Knight, L., 2017. "Scenario-driven roadmapping for technology foresight," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 160-177.
    4. Pot, W.D. & Dewulf, A. & Biesbroek, G.R. & Vlist, M.J. van der & Termeer, C.J.A.M., 2018. "What makes long-term investment decisions forward looking: A framework applied to the case of Amsterdam's new sea lock," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 174-190.

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