Estimating the impact of investing in a resource efficient, resilient global energy-intensive manufacturing industry
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DOI: 10.1016/j.techfore.2011.05.011
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Cited by:
- Clara Inés Pardo Martínez, 2009. "Energy efficiency developments in the manufacturing industries of Germany and Colombia, 1998-2005," Serie de Documentos en Economía y Violencia 6144, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
- Sen, Parag & Roy, Mousumi & Pal, Parimal, 2016. "Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization," Energy, Elsevier, vol. 116(P1), pages 1031-1038.
- Ricciardi, Francesca & De Bernardi, Paola & Cantino, Valter, 2020. "System dynamics modeling as a circular process: The smart commons approach to impact management," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
- Sgouridis, Sgouris & Ali, Mohamed & Sleptchenko, Andrei & Bouabid, Ali & Ospina, Gustavo, 2021. "Aluminum smelters in the energy transition: Optimal configuration and operation for renewable energy integration in high insolation regions," Renewable Energy, Elsevier, vol. 180(C), pages 937-953.
- Florian Flachenecker & Jun Rentschler, 2019. "From barriers to opportunities: Enabling investments in resource efficiency for sustainable development," Public Sector Economics, Institute of Public Finance, vol. 43(4), pages 345-373.
- Abrahamsen, Eirik Bjorheim & Selvik, Jon Tømmerås & Milazzo, Maria Francesca & Langdalen, Henrik & Dahl, Roy Endre & Bansal, Surbhi & Abrahamsen, Håkon Bjorheim, 2021. "On the use of the ‘Return Of Safety Investments’ (ROSI) measure for decision-making in the chemical processing industry," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
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Keywords
Resource efficiency; Resilience; Dynamic modeling; Energy-intensive manufacturing industry; Energy policy; Industry competitiveness;All these keywords.
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