G2TT
来源类型Discussion paper
规范类型论文
来源IDDP17285
DP17285 Global Innovation Spillovers and Productivity: Evidence from 100 Years of World Patent Data
Kristina Manysheva; Marti Mestieri
发表日期2022-05-06
出版年2022
语种英语
摘要We use a panel of historical patent data covering a large range of countries over the past century to study the evolution of innovation across time and space and its effect on productivity. We document a substantial rise of international knowledge spillovers as measured by patent citations since the 1990s. This rise is mostly accounted for by an increase in citations to US and Japanese patents in fields of knowledge related to computation, information processing, and medicine. We estimate the causal effect of innovation induced by international spillovers on sectoral output per worker and total factor productivity (TFP) growth in a panel of country-sectors from 2000 to 2014, as well as on aggregate income per capita since 1960. To assess causality, we develop a shift-share instrument that leverages pre-existing citation linkages across countries and fields of knowledge, as well as heterogeneous countries' exposure to technology waves. On average, an increase of one standard deviation in log-patenting activity increases sectoral output per worker growth by 1.1 percentage points. We find results of similar magnitude for sectoral TFP growth and long-run aggregate income per capita growth.
主题Macroeconomics and Growth
关键词Innovation Technology diffusion Patents
URLhttps://cepr.org/publications/dp17285
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/546304
推荐引用方式
GB/T 7714
Kristina Manysheva,Marti Mestieri. DP17285 Global Innovation Spillovers and Productivity: Evidence from 100 Years of World Patent Data. 2022.
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