Patent portfolio-based indicators to evaluate the commercial benefits of national plant genetic resources

Bo Kyeong Lee, So Young Sohn

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

According to property rights theory, national plant genetic resources (PGRs) are sovereign properties rather than resources belonging to the common heritage of humankind. Consequently, provider states can claim compensation from users of their national PGRs, leading to the need for bilateral or multilateral agreements to share national PGRs' commercial benefits. However, as benefit-sharing agreements are made exante, estimating the potential profit is difficult. Thus, issues around asymmetric information about the commercial value of such resources have emerged. In this paper, we use a patent portfolio as a proxy to estimate the potential commercial benefits of national PGRs and propose new evaluation indicators. We propose a comprehensive evaluation process that covers constructing a patent portfolio for each PGR, establishing indicators in terms of marketability, technology, and exclusiveness, and assigning weights to the indicators using fuzzy analytic hierarchy. In addition, we illustrate this process using a case of Korean national PGRs based on the opinions of stakeholders and experts. This research is expected to help promote national PGR transactions with equitable access and benefit sharing agreements.

Original languageEnglish
Pages (from-to)43-52
Number of pages10
JournalEcological Indicators
Volume70
DOIs
Publication statusPublished - 2016 Nov 1

Bibliographical note

Funding Information:
We acknowledge the cooperation of The Korea Biotechnology Industry Organization for the expert survey and the helpful comments from Chan Sik Jung from Korea Institute of Intellectual Property. This work was supported by National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (2016R1A2A1A05005270).

Publisher Copyright:
© 2016 Elsevier Ltd. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Ecology, Evolution, Behavior and Systematics
  • Ecology

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