Valuing transgenic drought tolerant canola using real options
Katherine Wynn,
German Spangenberg,
Kevin F. Smith and
William Wilson
Economics of Innovation and New Technology, 2019, vol. 28, issue 3, 279-295
Abstract:
Building on the application of real options to value research and development (R&D) investment, this paper extends the application to value new canola varieties still being developed using gene technology in Australia. In this study we develop an economic model using real options and Monte Carlo simulation to estimate the ex-ante value of trait technologies under development. The model is applied to empirical field trial data for Australian canola that has been genetically modified to increase its tolerance to drought. The results show that drought tolerant canola is more profitable for farmers than cropping with conventional canola. The results also quantitatively demonstrate why breeding for drought tolerance as it is often defined, with a yield deficit under average rainfall conditions, is an unattractive investment, and why a yield advantage across rainfall levels is necessary for the trait to have market value. Investment analysis and planning is at the core of agricultural strategy and it is difficult but essential to be able to evaluate R&D investments while they are still in development. This paper contributes to that cause by demonstrating how real options can be used to value a live investment in gene technology.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10438599.2018.1483526 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ecinnt:v:28:y:2019:i:3:p:279-295
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GEIN20
DOI: 10.1080/10438599.2018.1483526
Access Statistics for this article
Economics of Innovation and New Technology is currently edited by Professor Cristiano Antonelli
More articles in Economics of Innovation and New Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().