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Decision making under uncertainty in climate change mitigation: introducing multiple actor motivations, agency and influence

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  • Katy Roelich
  • Jannik Giesekam

Abstract

Climate change mitigation has two main characteristics that interact to make it an extremely demanding challenge of governance: the complexity of the socio-technical systems that must be transformed to avoid climate change and the presence of profound uncertainties. A number of tools and approaches exist, which aim to help manage these challenges and support long-term decision making. However, most tools and approaches assume that there is one decision maker with clearly defined objectives. The interaction between decision makers with differing perspectives and agency is an additional uncertainty that is rarely addressed, despite the wide recognition that action is required at multiple scales and by multiple actors. This article draws inspiration from dynamic adaptive policy pathways to build on current decision support methods, extending analysis to include the perspectives and agency of multiple actors through a case study of the UK construction sector. The findings demonstrate the importance of considering alignment between perspectives, agency and potential actions when developing plans; the need for mobilizing and advocacy actions to build momentum for radical change; and the crucial influence of interaction between actors. The decision support approach presented could improve decision making by reflecting the diversity and interaction of actors; identifying short-term actions that connect to long-term goals and keeping future options open.Key policy insights Multiple actors, with differing motivations, agency and influence, must engage with climate change mitigation, but may not do so, if proposed actions do not align with their motivations or if they do not have agency to undertake specific actions.Current roadmaps, which assume there is one decision maker with control over a whole system, might overstate how effective proposed actions could be.Decision making under deep uncertainty needs to account for the motivations and agency of diverse decision makers and the interaction between these decision makers.This could increase the implementation and effectiveness of mitigation activities.

Suggested Citation

  • Katy Roelich & Jannik Giesekam, 2019. "Decision making under uncertainty in climate change mitigation: introducing multiple actor motivations, agency and influence," Climate Policy, Taylor & Francis Journals, vol. 19(2), pages 175-188, February.
  • Handle: RePEc:taf:tcpoxx:v:19:y:2019:i:2:p:175-188
    DOI: 10.1080/14693062.2018.1479238
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    Cited by:

    1. Christopher Hassall & Michael Nisbet & Evan Norcliffe & He Wang, 2024. "The Potential Health Benefits of Urban Tree Planting Suggested through Immersive Environments," Land, MDPI, vol. 13(3), pages 1-12, February.
    2. Walter Leal Filho & Robert Stojanov & Franziska Wolf & Newton R. Matandirotya & Christian Ploberger & Desalegn Y. Ayal & Fardous Mohammad Safiul Azam & Tareq Mohammed Ali AL-Ahdal & Rebecca Sarku & No, 2022. "Assessing Uncertainties in Climate Change Adaptation and Land Management," Land, MDPI, vol. 11(12), pages 1-15, December.
    3. McKenna, R. & Mulalic, I. & Soutar, I. & Weinand, J.M. & Price, J. & Petrović, S. & Mainzer, K., 2022. "Exploring trade-offs between landscape impact, land use and resource quality for onshore variable renewable energy: an application to Great Britain," Energy, Elsevier, vol. 250(C).
    4. Stanton, Muriel C. Bonjean & Roelich, Katy, 2021. "Decision making under deep uncertainties: A review of the applicability of methods in practice," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    5. Glenn Lyons & Greg Marsden, 2021. "Opening out and closing down: the treatment of uncertainty in transport planning’s forecasting paradigm," Transportation, Springer, vol. 48(2), pages 595-616, April.
    6. Lowes, Richard & Woodman, Bridget, 2020. "Disruptive and uncertain: Policy makers’ perceptions on UK heat decarbonisation," Energy Policy, Elsevier, vol. 142(C).
    7. Omid Alizadeh, 2022. "Advances and challenges in climate modeling," Climatic Change, Springer, vol. 170(1), pages 1-26, January.
    8. Andrea Momblanch & Lindsay Beevers & Pradeep Srinivasalu & Anil Kulkarni & Ian P. Holman, 2020. "Enhancing production and flow of freshwater ecosystem services in a managed Himalayan river system under uncertain future climate," Climatic Change, Springer, vol. 162(2), pages 343-361, September.
    9. Leslie Paul Thiele, 2020. "Integrating political and technological uncertainty into robust climate policy," Climatic Change, Springer, vol. 163(1), pages 521-538, November.
    10. Minna Havukainen & Mirja Mikkilä & Helena Kahiluoto, 2022. "Climate Policy Reform in Nepal through the Lenses of the Institutional Analysis and Development Framework," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    11. Bachner, G. & Mayer, J. & Steininger, K.W. & Anger-Kraavi, A. & Smith, A. & Barker, T.S., 2020. "Uncertainties in macroeconomic assessments of low-carbon transition pathways - The case of the European iron and steel industry," Ecological Economics, Elsevier, vol. 172(C).

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