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测度研发的私人回报与社会回报:非意图溢出与技术市场

Measuring the Private and Social Returns to R&D: Unintended Spillovers versus Technology Markets
Journal of Political Economy · 2022 · Pere Arqué‐Castells、Daniel F. Spulber

中文摘要

测度研发私人回报与社会回报的经典方法假定研发成果通过溢出实现扩散。我们构建了一个一般性框架,允许研发成果通过溢出和自愿技术转让两种途径扩散。为将该框架应用于实证分析,我们构建了一个记录美国上市公司之间技术市场互动的数据集。我们利用研发税收激励的变化来识别因果效应。与经典方法相比,将市场渠道纳入考量会缩小所观测到的研发社会回报与私人回报之间的差距。分析提示,技术市场中存在可观的交易收益。

Abstract

The canonical approach to measuring private and social returns to R&D assumes diffusion through spillovers. We develop a general framework that allows R&D to diffuse through both spillovers and voluntary technology transfers. To operationalize the framework, we create a data set of interactions in the market for technology between publicly held US firms. We use changes in tax incentives for R&D to identify causal effects. Taking market channels into account decreases the observed difference between social and private returns to R&D as compared with the canonical approach. The analysis suggests significant gains from trade in markets for technology.
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