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| Author: | Schettino, F. |
| Title: | US patent citations data and industrial knowledge spillovers |
| Journal: | Economics of innovation and new technology
2007 : OCT-NOV, VOL. 16:7-8, p. 595-633 |
| Index terms: | citation analysis patents technological innovation growth knowledge industries USA |
| Language: | eng |
| Abstract: | This paper aims to evaluate empirically the U.S. interindustry knowledge spillover using the NBER patents data file from 1963 to 1999. Using the patent backward citations as a proxy of the patent's knowledge spillover, a time series is built to each U.S. manufacturing industry patent citations and their lags. Then, the time series of the external and the internal knowledge flow indices is generated, showing that traditional sectors are more technology-dependent from the others than the new one. A new taxonomy of innovation is derived focusing on the ideas instead of the goods production to obtain the innovation linkage and trajectories. Confirming that the high-tech sectors and its R&D expenditures being the most important, it is concluded that it is the giant's shoulders, substance of the whole economy. |
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