Building a social discount rate to be applied in US afforestation project appraisal

María José Muñoz Torrecillas, Julian Roche, Salvador Cruz Rambaud

Research output: Contribution to journalArticle

Abstract

This paper is focused on searching for the suitable discount rate to be applied to the valuation of a project related to forests in the USA, e.g., a recreational area inside a national park. To do this, we propose a new model based on hazard rate concepts, i.e., based on the risk that waiting time implies. More specifically, we derive the discount function whose instantaneous discount rate is the hazard rate of the system supporting the investment. We determine the rate of failure corresponding to different partition criteria of the whole system; in our case, we can use the information on forest fires caused in different ways, in different states or in different types of forest surfaces. After showing independence between the forest fires by states and causes, we derive a specific discount function for each cause which can be applied to every state or set of states which agree to fight against a concrete cause of forest fire. Additionally, we obtain a unique discount function by weighting the partial discount functions by type of forest surfaces. Our results are in line with the recommendations from several authors about using decreasing discount rates for projects with very long-term impacts.

Original languageEnglish
Article number445
JournalForests
Volume10
Issue number5
DOIs
Publication statusPublished - 1 May 2019

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discount rate
forest fires
afforestation
forest fire
forest types
hazard
valuation
national parks
national park
appraisal
rate
project

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Torrecillas, María José Muñoz ; Roche, Julian ; Rambaud, Salvador Cruz. / Building a social discount rate to be applied in US afforestation project appraisal. In: Forests. 2019 ; Vol. 10, No. 5.
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Building a social discount rate to be applied in US afforestation project appraisal. / Torrecillas, María José Muñoz; Roche, Julian; Rambaud, Salvador Cruz.

In: Forests, Vol. 10, No. 5, 445, 01.05.2019.

Research output: Contribution to journalArticle

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