Endogenized technological learning in an energy systems model
AbstractTechnology dynamics is endogenized into a bottom-up energy systems model. Mixed integer programming is used to incorporate into the model the non-convex relation between declining specific investment in energy technologies and overall experience or capacities installed. The initial results achieved with this approach show the importance of early investment in new technology developments. New technologies will not become cheaper irrespective of research, development, and demonstration (RD & D) decisions; they will do so only if determined RD&D policies and investment strategies enhance their development.
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Bibliographic InfoArticle provided by Springer in its journal Journal of Evolutionary Economics.
Volume (Year): 7 (1997)
Issue (Month): 3 ()
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Web page: http://link.springer.de/link/service/journals/00191/index.htm
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- O14 - Economic Development, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
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