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Capturing the economic value of triadic patents

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Abstract

This study provides a comprehensive analysis of patent family characteristics of triadic patents. We test specific features of triadic patent families to highlight common correlation patterns between patent value, as measured by patent forward citation data, and the structure of triadic patent families that cover the same invention at the international level. Our results suggest that the share of USPTO, EPO and JPO patents in the patent family, and the time span between the earliest priority application and latest priority application, are positively associated with the value of inventions in the triadic patent families.

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Notes

  1. ,OECD Triadic Patent Families database, March 2017.

  2. “To account for this, the TPF database uses consolidated patent families. Any patents that are directly or indirectly linked to other patents are counted as a single patent family. For example, if patent A shares priorities 1 and 2, and patent B shares priorities 2 and 3, priorities 1 and 2 are directly linked, as are priorities 2 and 3. As they both share a direct link with priority 2, priorities 1 and 3 are indirectly linked. All patents sharing one of these three priorities are assembled in a single patent family in the OECD TPF database.” Popp (2005).

  3. OECD Citations database, March 2017.

  4. We only accessed the data of citations from USPTO patents.

  5. We used the minimum and mean values of the number of USPTO patents within the family to plot the graph.

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Correspondence to Leila Tahmooresnejad.

Appendices

Appendix 1

See Tables 5 and 6.

Table 5 Descriptive statistics
Table 6 Correlation matrix

Appendix 2

See Tables 7 and 8.

Table 7 Regression results for the total number of forward citations using zero-inflated negative binomial models
Table 8 Regression results for the totalnumber of forward citations in the first three years using zero-inflated negative binomial models

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Tahmooresnejad, L., Beaudry, C. Capturing the economic value of triadic patents. Scientometrics 118, 127–157 (2019). https://doi.org/10.1007/s11192-018-2959-4

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