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A research and technology valuation model for decision analysis in the environmental and renewable energy sectors

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  • Valdivia, Miguel
  • Galan, Jose Luis
  • Laffarga, Joaquina
  • Ramos, Juan-Luis

Abstract

Annually, companies invest vast amounts of resources into research and development (R&D) in order to remain competitive in today's markets. This investment intensive effort needs to be carefully managed and monitored in order to make the most of these investments. Making informed decisions regarding resource allocation is vital for maximizing return on investment (ROI). One important way to achieve this is use of a valuation model that is capable of estimating the potential return of R&D investment by assessing among other parameters, the level of uncertainty and risk associated with this kind of project. This paper presents a valuation decision model that has been applied to the renewable and environmental sector. Here we present a flexible, user-friendly and understandable model that reflects the intrinsic risks associated with R&D projects. The model can be customized for use across a variety of capital intensive and medium-long term R&D projects in the private and public realms. A real-life case study is used to illustrate the utility of the model within the biofuel sector; specifically, for a project focused on the production of biofuel from municipal solid waste. Use of valuation models, such as the one described here, when used from the very initial phases of the project till project completion can serve a vital role in R&D management—one that enables decision-makers to define realistic and productive targets throughout the full R&D project period.

Suggested Citation

  • Valdivia, Miguel & Galan, Jose Luis & Laffarga, Joaquina & Ramos, Juan-Luis, 2020. "A research and technology valuation model for decision analysis in the environmental and renewable energy sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    • Handle: RePEc:eee:rensus:v:122:y:2020:i:c:s136403212030023x
    DOI: 10.1016/j.rser.2020.109726
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    References listed on IDEAS

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