Spillovers in the production of knowledge: A meta-regression analysis
Spillovers in the production of knowledge: A meta-regression analysis
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DOI：
10.1016/j.respol.2018.02.004
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发表时间：
2018-05-01
期刊：
影响因子：
7.2
通讯作者：
Sequeira, Tiago Neves
中科院分区：
文献类型：
--
作者：
Neves, Pedro Cunha;Sequeira, Tiago Neves
继阿罗（Arrow，1962）之后，知识的生产在二十世纪下半叶受到定量分析。讨论了知识的决定因素和创新过程中存在的外部性，并产生了直接的政策影响。特别是，过去知识库溢出的存在和强度鼓励了大多数发达国家对研发的高额补贴。我们调查了有关知识生产溢出效应的实证文献，并实施了荟萃分析回归。我们发现平均溢出效应小于但接近 1，并且非常显着。我们还发现，当知识生产的估计考虑了外国投入时，溢出效应往往更大，而当估计仅包括富裕经济体、使用区域数据、知识池不是专利存量时，溢出效应往往较低。
The production of knowledge was subjected to quantitative analysis in the second half of the twentieth century, following Arrow (1962). The determinants of knowledge and the externalities present in the innovation process were discussed with immediate policy influence. In particular, the presence and strength of the spillover of the pool of past knowledge has encouraged high subsidization of R&D in the most developed countries. We survey the empirical literature on the spillover effect in the production of knowledge and implement a meta-analytic regression. We discover that the average spillover effect is less than but close to one and is highly significant. We also find that the spillover effect tends to be greater when the estimation of knowledge production accounts for foreign inputs, and It tends to be lower when the estimation includes only rich economies, regional data are used, and the pool of knowledge is not the patent stock.