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Motivating innovation in a knowledge economy with tax incentives

机译:通过税收优惠激励知识经济中的创新

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In the past decades the role of profit sharing schemes (PSS) as a way to foster innovation in a principal-agent context, and more generally of innovation in economic growth, have been widely acknowledged and studied. However, surprisingly little has been done to analyze the interactions between tax policy, PSS and innovative activity, not least because of severe data limitations. In this study we propose an agent-based model to explore the effects of two distinct tax policies on innovation in a pure knowledge economy: a ‘patent box’ incentive and a tax incentive on compensation earned by agents as PSS. A distinct feature of this paper is that in contrast to the conventional assumption that firms (principals) decide on whether to innovate or not, we propose that this decision is actually taken by their employees (agents). We compare the two tax incentives under several distinct specifications and find that the tax incentive on PSS is more efficient than a ‘patent box’ incentive when the role of capital investments in R&D is negligible. With R&D investments in the form of a capacity constraint, both tax incentives are found to play a role in fostering innovation. In addition we find important effects on the incentives’ relative efficacy due to labor mobility and due to the ability of firms to benefit from knowledge spillovers.
机译:在过去的几十年中,利润共享计划(PSS)作为一种在委托代理的背景下促进创新的方法,更广泛地讲是在经济增长中促进创新的作用,已得到广泛认可和研究。但是,令人惊讶的是,几乎没有做过分析税收政策,PSS和创新活动之间的相互作用的研究,这主要是由于数据的严格限制。在这项研究中,我们提出了一种基于代理的模型,以探讨两种不同的税收政策对纯知识经济中的创新的影响:“专利盒”激励和代理人作为PSS所获得的补偿的税收激励。本文的一个显着特征是,与企业(委托人)决定是否进行创新的传统假设相反,我们建议这一决定实际上是由其员工(代理人)做出的。我们比较了几种不同规范下的两种税收优惠政策,发现当资本投资在研发中的作用可以忽略时,PSS的税收优惠政策比“专利盒”优惠政策更为有效。通过能力限制形式的研发投资,两种税收优惠措施都被发现在促进创新中发挥作用。此外,我们发现由于劳动力流动以及公司从知识溢出中受益的能力,对激励措施的相对效力具有重要影响。

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