QUANTIFYING KNOWLEDGE SPILLOVERS USING SPATIAL ECONOMETRIC MODELS
利用法国94个地区1992-2000年的专利和研发支出数据，估计知识生产函数，发现私人研发的跨行业溢出效应最大，且雅各布斯外部性随距离衰减比MAR外部性更剧烈。
ABSTRACT This paper seeks to develop our understanding of the somewhat diffuse nature of technological externalities and space by associating a geographical dimension with the sectoral dimension. Using a panel data set containing French patents as well as private and public research expenditures by industry and region over the period from 1992 to 2000, this paper estimates a knowledge production function. The region- and industry-specific nature of the sample data allows us to empirically examine spatial spillovers associated with public and private research expenditures in own- and other-industry sectors for our sample of 94 French regions. We find that the largest direct and indirect effects are associated with private R&D activity that spills across industry boundaries. However, since Jacobs externalities decrease more drastically with distance than MAR externalities, our results also point to different optimal strategies for regional versus national officials.