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Towards improving the relevance of scenarios for public policy questions: A proposed methodological framework for policy relevant low carbon scenarios

Citations

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Cited by:

  1. Andersen, Per Dannemand & Hansen, Meiken & Selin, Cynthia, 2021. "Stakeholder inclusion in scenario planning—A review of European projects," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  2. Addolorata Marasco & Alessandro Romano, 2018. "Deterministic modeling in scenario forecasting: estimating the effects of two public policies on intergenerational conflict," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2345-2371, September.
  3. Minkkinen, Matti, 2019. "The anatomy of plausible futures in policy processes: Comparing the cases of data protection and comprehensive security," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 172-180.
  4. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
  5. Cairns, George & Wright, George & Fairbrother, Peter, 2016. "Promoting articulated action from diverse stakeholders in response to public policy scenarios: A case analysis of the use of ‘scenario improvisation’ method," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 97-108.
  6. Skea, Jim & van Diemen, Renée & Portugal-Pereira, Joana & Khourdajie, Alaa Al, 2021. "Outlooks, explorations and normative scenarios: Approaches to global energy futures compared," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  7. Nilsson, Måns & Nykvist, Björn, 2016. "Governing the electric vehicle transition – Near term interventions to support a green energy economy," Applied Energy, Elsevier, vol. 179(C), pages 1360-1371.
  8. 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.
  9. Derbyshire, James, 2024. "Integrating modelling-based and stakeholder-focused scenario approaches to close the planning gap and accelerate low-carbon transitions," Ecological Economics, Elsevier, vol. 221(C).
  10. Amorim-Lopes, Mário & Oliveira, Mónica & Raposo, Mariana & Cardoso-Grilo, Teresa & Alvarenga, António & Barbas, Marta & Alves, Marco & Vieira, Ana & Barbosa-Póvoa, Ana, 2021. "Enhancing optimization planning models for health human resources management with foresight," Omega, Elsevier, vol. 103(C).
  11. Minkkinen, Matti & Auffermann, Burkhard & Ahokas, Ira, 2019. "Six foresight frames: Classifying policy foresight processes in foresight systems according to perceived unpredictability and pursued change," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  12. Chen, Jiandong & Gao, Ming & Mangla, Sachin Kumar & Song, Malin & Wen, Jie, 2020. "Effects of technological changes on China's carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  13. Derbyshire, James & Wright, George, 2017. "Augmenting the intuitive logics scenario planning method for a more comprehensive analysis of causation," International Journal of Forecasting, Elsevier, vol. 33(1), pages 254-266.
  14. Zhuo Hu & Dong Huang & Congjun Rao & Xiaolin Xu, 2016. "Innovative allocation mechanism design of carbon emission permits in China under the background of a low-carbon economy," Environment and Planning B, , vol. 43(2), pages 419-434, March.
  15. Watson, Jim & Gross, Rob & Ketsopoulou, Ioanna & Winskel, Mark, 2015. "The impact of uncertainties on the UK's medium-term climate change targets," Energy Policy, Elsevier, vol. 87(C), pages 685-695.
  16. Hooper, Tara & Austen, Melanie C. & Beaumont, Nicola & Heptonstall, Philip & Holland, Robert A. & Ketsopoulou, Ioanna & Taylor, Gail & Watson, Jim & Winskel, Mark, 2018. "Do energy scenarios pay sufficient attention to the environment? Lessons from the UK to support improved policy outcomes," Energy Policy, Elsevier, vol. 115(C), pages 397-408.
  17. MacKay, R. Bradley & Stoyanova, Veselina, 2017. "Scenario planning with a sociological eye: Augmenting the intuitive logics approach to understanding the Future of Scotland and the UK," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 88-100.
  18. Turnheim, Bruno & Nykvist, Björn, 2019. "Opening up the feasibility of sustainability transitions pathways (STPs): Representations, potentials, and conditions," Research Policy, Elsevier, vol. 48(3), pages 775-788.
  19. Trutnevyte, Evelina & Barton, John & O'Grady, Áine & Ogunkunle, Damiete & Pudjianto, Danny & Robertson, Elizabeth, 2014. "Linking a storyline with multiple models: A cross-scale study of the UK power system transition," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 26-42.
  20. Ramboarison-Lalao, Lovanirina & Gannouni, Kais, 2019. "Liberated firm, a leverage of well-being and technological change? A prospective study based on the scenario method," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 129-139.
  21. Alexandros Flamos, 2016. "A Sectoral Micro-Economic Approach to Scenario Selection and Development: The Case of the Greek Power Sector," Energies, MDPI, vol. 9(2), pages 1-12, January.
  22. Su, Chi-Wei & Yuan, Xi & Tao, Ran & Shao, Xuefeng, 2022. "Time and frequency domain connectedness analysis of the energy transformation under climate policy," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  23. Geels, F.W. & McMeekin, A. & Pfluger, B., 2020. "Socio-technical scenarios as a methodological tool to explore social and political feasibility in low-carbon transitions: Bridging computer models and the multi-level perspective in UK electricity gen," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  24. 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.
  25. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  26. Derbyshire, James & Giovannetti, Emanuele, 2017. "Understanding the failure to understand New Product Development failures: Mitigating the uncertainty associated with innovating new products by combining scenario planning and forecasting," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 334-344.
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