Benvenuti nell'Anagrafe della Ricerca d'Ateneo
La valutazione delle attività di ricerca che si svolgono nelle università ha assunto un'importanza rilevante sia per l'intero sistema universitario sia all'interno di ogni singolo ateneo. Roma Tre si è quindi dotata di idonei strumenti informativi in grado di supportare al meglio le azioni di monitoraggio e di valutazione delle attività di ricerca svolte nei propri dipartimentied ha realizzato una Anagrafe della Ricerca di Ateneo.
EnglishThis paper deals with a relevant aspect of energy modeling, i.e. fossil fuels management. The issue is faced by using purely operational research techniques, which are suitable in this context. In particular, a dynamic stochastic optimization model is developed to optimally determine use and stock of resources to be employed in consumption and investments, in a wide economic sense: human and physical capital, R&D, etc. It is assumed that a sustainability criterion drives the optimality rules, i.e. decisions are also grounded on the well-being of future generations. The policymaker maximizes an aggregated intergen- erational expected utility under the dilemma of present consumption/conservation of natural resources for the future. In reference to standard environmental economic theory, jump-diffusion dynamics for the stock of natural resources and infinite time horizon are assumed. Extensive numerical experiments com- plete the analysis and contribute to determine fossil fuels management policies, showing that long-term investments make the difference for the well-being of present and future generations.
Castellano, R., Cerqueti, R., & Spinesi, L. (2016). Sustainable management of fossil fuels: A dynamic stochastic optimization approach with jump-diffusion. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 255, 288-297.
| Titolo: | Sustainable management of fossil fuels: A dynamic stochastic optimization approach with jump-diffusion | |
| Autori: | ||
| Data di pubblicazione: | 2016 | |
| Rivista: | ||
| Citazione: | Castellano, R., Cerqueti, R., & Spinesi, L. (2016). Sustainable management of fossil fuels: A dynamic stochastic optimization approach with jump-diffusion. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 255, 288-297. | |
| Handle: | http://hdl.handle.net/11590/311665 | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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