Sustainable energy prices and growth: Comparing macroeconomic and backcasting scenarios
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- Dong, Cong & Huang, Guohe & Cai, Yanpeng & Cheng, Guanhui & Tan, Qian, 2016. "Bayesian interval robust optimization for sustainable energy system planning in Qiqihar City, China," Energy Economics, Elsevier, vol. 60(C), pages 357-376.
- de Bruin, Jilske Olda & Kok, Kasper & Hoogstra-Klein, Marjanke Alberttine, 2017. "Exploring the potential of combining participative backcasting and exploratory scenarios for robust strategies: Insights from the Dutch forest sector," Forest Policy and Economics, Elsevier, vol. 85(P2), pages 269-282.
- Hurmekoski, Elias & Hetemäki, Lauri, 2013. "Studying the future of the forest sector: Review and implications for long-term outlook studies," Forest Policy and Economics, Elsevier, vol. 34(C), pages 17-29.
- Kim, Sehoon & Connerton, Timothy Paul & Park, Cheongyeul, 2021. "Exploring the impact of technological disruptions in the automotive retail: A futures studies and systems thinking approach based on causal layered analysis and causal loop diagram," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
- Wen, Zong-guo & Di, Jing-han & Yu, Xue-wei & Zhang, Xuan, 2017. "Analyses of CO2 mitigation roadmap in China’s power industry: Using a Backcasting Model," Applied Energy, Elsevier, vol. 205(C), pages 644-653.
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