用户费用的失败承诺:来自美国专利和商标局的经验证据

Michael D. Frakes, Melissa Wasserman
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引用次数: 3

摘要

尽管政府机构的用户收费融资结构越来越多,但很少有人研究这种结构对机构决策可能产生的影响。本文试图在专利商标局(PTO)的背景下填补这一空白。我们首先建议,专利商标局的历史收费表及其对专利被授权人补贴专利申请人的依赖使该机构面临其强制性成本与其收入收费不平衡的风险。其次,我们理论化了专利商标局在这种情况下可能采取的步骤,以便在允许其尽可能多地履行其审查义务的同时恢复财务平衡。从广义上讲,我们认为预算受限的专利商标局将扭曲其审查实践,以努力增加每项审查申请产生的平均费用收入和/或降低每项申请的平均审查成本。我们假设PTO通过延长优先审查待遇来实现这些目标,即对某些技术给予更高的授权倾向和/或更短的等待时间。在Frakes和Wasserman(2013)探讨了专利商标局的通货膨胀授权反应的基础上,本文利用了新的专利处理数据,并提出证据表明,专利商标局将通过优先审查那些专利商标局审查成本最低的技术中的申请,在财政紧张时期尽可能多地保持总申请吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Failed Promise of User Fees: Empirical Evidence from the United States Patent and Trademark Office
Despite the proliferation of user-fee financing structures of governmental agencies, little research has been conducted on the possible influence of such structures on agency decision-making. This paper attempts to fill this gap in the context of the Patent and Trademark Office (PTO). We first suggest that the PTO’s historical fee schedule and its reliance on patent grantees to subsidize patent applicants exposes the Agency to a risk that its obligatory costs will fall out of balance with its incoming fee collections. Second, we theorize the steps that the PTO may take in such instances in order to restore financial balance while allowing it to satisfy as many of its examination obligations as it can. In broad terms, we contend that a budget constrained PTO will distort its examination practices in an effort to increase the average fee income generated per application reviewed and/or to decrease the average examination costs incurred per application processed. We hypothesize that the PTO achieves these goals through the extension of preferential examination treatment — i.e., higher granting propensities and/or shorter wait times — to some technologies over others. Building on Frakes and Wasserman (2013), which had explored the PTO’s inflationary granting response, this paper draws on novel patent-processing data and presents evidence suggesting that the PTO will attempt to maintain as much aggregate application throughput as it can during times of financial strain by prioritizing the examination of applications within those technologies that cost the PTO the least to review.
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