Analyzing investment strategies under changing energy and climate policies: an interdisciplinary bottom-up approach regarding German metal industries
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
- Porzio, Giacomo Filippo & Fornai, Barbara & Amato, Alessandro & Matarese, Nicola & Vannucci, Marco & Chiappelli, Lisa & Colla, Valentina, 2013. "Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry," Applied Energy, Elsevier, vol. 112(C), pages 818-833.
- Fröhling, Magnus & Schwaderer, Frank & Bartusch, Hauke & Rentz, Otto, 2010. "Integrated planning of transportation and recycling for multiple plants based on process simulation," European Journal of Operational Research, Elsevier, vol. 207(2), pages 958-970, December.
- Schumacher, Katja & Sands, Ronald D., 2007.
"Where are the industrial technologies in energy-economy models? An innovative CGE approach for steel production in Germany,"
Elsevier, vol. 29(4), pages 799-825, July.
- Katja Schumacher & Ronald D. Sands, 2006. "Where Are the Industrial Technologies in Energy-Economy Models?: An Innovative CGE Approach for Steel Production in Germany," Discussion Papers of DIW Berlin 605, DIW Berlin, German Institute for Economic Research.
- Hare, M & Deadman, P, 2004. "Further towards a taxonomy of agent-based simulation models in environmental management," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 25-40.
- Ackerman, Frank & Munitz, Charles, 2012. "Climate damages in the FUND model: A disaggregated analysis," Ecological Economics, Elsevier, vol. 77(C), pages 219-224.
- Alberth, Stephan & Hope, Chris, 2007. "Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model," Energy Policy, Elsevier, vol. 35(3), pages 1795-1807, March.
More about this item
KeywordsEnergy intensive industries; Metal industry; Climate policy; Bottom-up approach; Investment decision; Greenhouse gas emissions;
- L61 - Industrial Organization - - Industry Studies: Manufacturing - - - Metals and Metal Products; Cement; Glass; Ceramics
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jbecon:v:87:y:2017:i:1:d:10.1007_s11573-016-0829-1. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Andrew Huffard) The email address of this maintainer does not seem to be valid anymore. Please ask Andrew Huffard to update the entry or send us the correct email address. General contact details of provider: http://www.springer.com .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.