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Investing in Biogas: Timing, Technological Choice and the Value of Flexibility from Inputs Mix

Author

Listed:
  • Michele Moretto

    (University of Padua)

  • Luca Di Corato

    (Swedish University of Agricultural Sciences)

Abstract

In a continuous-time framework we study the technology and investment choice problem of a continuous co-digestion biogas plant dealing with randomly fluctuating relative convenience of input factor costs. Input factors enter into the productive process together mixed according to a given initial rule. Being inputs relative convenience stochastically evolving, a successive revision of the initial rule may be desirable. Hence, when the venture starts the manager may or may not install a flexible technology allowing for such option. Investment is irreversible and flexibility is costly. The problem is solved determining in the light of future prospects the optimal revision and then playing backward fixing the investment timing rule.

Suggested Citation

  • Michele Moretto & Luca Di Corato, 2009. "Investing in Biogas: Timing, Technological Choice and the Value of Flexibility from Inputs Mix," Working Papers 2009.84, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2009.84
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    References listed on IDEAS

    as
    1. Di Corato, Luca & Moretto, Michele, 2011. "Investing in biogas: Timing, technological choice and the value of flexibility from input mix," Energy Economics, Elsevier, vol. 33(6), pages 1186-1193.
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    Citations

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    Cited by:

    1. Di Corato, Luca & Moretto, Michele, 2011. "Investing in biogas: Timing, technological choice and the value of flexibility from input mix," Energy Economics, Elsevier, vol. 33(6), pages 1186-1193.
    2. Bertolini, Marina & D’Alpaos, Chiara & Moretto, Michele, 2016. "Investing in Photovoltaics: Timing, Plant Sizing and Smart Grids Flexibility," MITP: Mitigation, Innovation,and Transformation Pathways 244540, Fondazione Eni Enrico Mattei (FEEM).
    3. Yu-Fu Chen & Michael Funke, 2010. "Booms, Recessions And Financial Turmoil: A Fresh Look At Investment Decisions Under Cyclical Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(s1), pages 290-317, July.
    4. Di Corato, Luca & Montinari, Natalia, 2014. "Flexible waste management under uncertainty," European Journal of Operational Research, Elsevier, vol. 234(1), pages 174-185.
    5. Carrosio, Giovanni, 2013. "Energy production from biogas in the Italian countryside: Policies and organizational models," Energy Policy, Elsevier, vol. 63(C), pages 3-9.
    6. Andreas Welling, 2017. "Green Finance: Recent developments, characteristics and important actors," FEMM Working Papers 170002, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    7. Fabio Bartolini & Luciana G. Angelini & Gianluca Brunori & Oriana Gava, 2015. "Impacts of the CAP 2014–2020 on the Agroenergy Sector in Tuscany, Italy," Energies, MDPI, Open Access Journal, vol. 8(2), pages 1-22, February.
    8. repec:eee:rensus:v:80:y:2017:i:c:p:180-196 is not listed on IDEAS
    9. Wittmann, Nadine & Yildiz, Özgür, 2013. "A microeconomic analysis of decentralized small scale biomass based CHP plants—The case of Germany," Energy Policy, Elsevier, vol. 63(C), pages 123-129.

    More about this item

    Keywords

    Factor Proportions; Technological Choice; Flexibility; Real Options; Alternative Energy Source;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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