Wesseler Justus, Smart Richard D, Thomson Jennifer, Zilberman David
Social Science Department, Wageningen University, Wageningen, The Netherlands.
TUM School of Life Sciences Weihenstephan, Technische Universität München, Freising, Germany.
PLoS One. 2017 Jul 27;12(7):e0181353. doi: 10.1371/journal.pone.0181353. eCollection 2017.
A number of new crops have been developed that address important traits of particular relevance for smallholder farmers in Africa. Scientists, policy makers, and other stakeholders have raised concerns that the approval process for these new crops causes delays that are often scientifically unjustified. This article develops a real option model for the optimal regulation of a risky technology that enhances economic welfare and reduces malnutrition. We consider gradual adoption of the technology and show that delaying approval reduces uncertainty about perceived risks of the technology. Optimal conditions for approval incorporate parameters of the stochastic processes governing the dynamics of risk. The model is applied to three cases of improved crops, which either are, or are expected to be, delayed by the regulatory process. The benefits and costs of the crops are presented in a partial equilibrium that considers changes in adoption over time and the foregone benefits caused by a delay in approval under irreversibility and uncertainty. We derive the equilibrium conditions where the net-benefits of the technology equal the costs that would justify a delay. The sooner information about the safety of the technology arrive, the lower the costs for justifying a delay need to be i.e. it pays more to delay. The costs of a delay can be substantial: e.g. a one year delay in approval of the pod-borer resistant cowpea in Nigeria will cost the country about 33 million USD to 46 million USD and between 100 and 3,000 lives.
已经培育出了一些新作物,这些作物解决了与非洲小农户特别相关的重要性状问题。科学家、政策制定者和其他利益相关者担心,这些新作物的审批过程会导致延误,而这种延误往往在科学上是不合理的。本文针对一种能提高经济福利并减少营养不良的风险技术的最优监管,开发了一个实物期权模型。我们考虑技术的逐步采用,并表明推迟审批会降低对该技术感知风险的不确定性。审批的最优条件纳入了控制风险动态的随机过程参数。该模型应用于三种改良作物的案例,这些作物要么已经被监管程序推迟审批,要么预计会被推迟。作物的收益和成本在一个局部均衡中呈现,该均衡考虑了随着时间推移采用情况的变化以及在不可逆性和不确定性下审批延迟所导致的机会成本。我们推导出技术净收益等于证明延迟合理所需成本的均衡条件。关于该技术安全性的信息越早到达,证明延迟合理所需的成本就越低,也就是说,延迟的代价就越高。延迟的成本可能很大:例如,尼日利亚批准抗豆荚螟豇豆的过程延迟一年,该国将损失约3300万美元至4600万美元,以及100至3000条生命。