Danzon Patricia M, Nicholson Sean, Pereira Nuno Sousa
University of Pennsylvania, Health Care Management Department, The Wharton School, 3641 Locust Walk, Philadelphia, PA 19104, USA.
J Health Econ. 2005 Mar;24(2):317-39. doi: 10.1016/j.jhealeco.2004.09.006. Epub 2005 Jan 25.
Using data on over 900 firms for the period 1988-2000, we estimate the effect on phase-specific biotech and pharmaceutical R&D success rates of a firm's overall experience, its experience in the relevant therapeutic category, the diversification of its experience across categories, the industry's experience in the category, and alliances with large and small firms. We find that success probabilities vary substantially across therapeutic categories and are negatively correlated with mean sales by category, which is consistent with a model of dynamic, competitive entry. Returns to experience are statistically significant but economically small for the relatively straightforward phase 1 trials. We find evidence of large, positive and diminishing returns to a firm's overall experience (across all therapeutic categories) for the larger and more complex late-stage trials that focus on a drug's efficacy. There is some evidence that a drug is more likely to complete phase 3 if developed by firms whose experience is focused rather than broad (diseconomies of scope). There is evidence of positive knowledge spillovers across firms for phase 1. However, for phase 2 and phase 3 the estimated effects of industry-wide experience are negative, which may reflect either higher Food and Drug Administration (FDA) approval standards in crowded therapeutic categories or that firms in such categories must pursue more difficult targets. Products developed in an alliance tend to have a higher probability of success, at least for the more complex phase 2 and phase 3 trials, and particularly if the licensee is a large firm.
利用1988 - 2000年期间900多家公司的数据,我们估计了公司的整体经验、其在相关治疗领域的经验、其经验在不同领域的多元化程度、行业在该领域的经验以及与大、小公司的联盟对特定阶段生物技术和制药研发成功率的影响。我们发现,不同治疗领域的成功概率差异很大,且与各领域的平均销售额呈负相关,这与动态竞争进入模型一致。对于相对简单的1期试验,经验回报在统计上显著,但经济意义较小。我们发现,对于专注于药物疗效的规模更大、更复杂的后期试验,公司的整体经验(跨所有治疗领域)存在显著的正回报且回报递减。有证据表明,如果由经验集中而非广泛的公司(范围不经济)开发,药物更有可能完成3期试验。有证据表明,在1期试验中公司间存在积极的知识溢出。然而,对于2期和3期试验,行业经验的估计影响为负,这可能反映了在竞争激烈的治疗领域中食品药品监督管理局(FDA)的批准标准更高,或者此类领域的公司必须追求更具挑战性的目标。通过联盟开发的产品往往有更高的成功概率,至少对于更复杂的2期和3期试验是这样,特别是如果被许可方是大公司。