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Measuring Innovation in the Mining Industry with Patents

Author

Listed:
  • Alica Daly
  • Giulia Valacchi
  • Julio Raffo

Abstract

Traditionally, the mining sector has been considered a slow innovator compared to other industries, like the manufacturing or pharmaceutical industries. However, we observe an upsurge in the innovation activity of the mining industry in the first half of the 2000s. During this period, mining innovation started to increase rapidly after periods of stagnation and downward trends. To conduct and in-depth investigation of the global trends and patterns behind this structural change in mining innovation, we formulated a general search strategy to identify patent activity in this sector. The strategy is repeatable over time and in multiple databases. It enabled us to produce a dataset of patents in mining and mining-related technologies. Using this newly-created database we identified at the basis of the structural change a switch away from refining technologies into exploration and environmental technologies probably explained by the took over of the so-called 4th Industrial Revolution. The types of actors active in the mining innovation also changed across time: there are now many more individuals, research centers and universities innovating in mining and relatively less companies. Finally, the country composition in the pool of mining innovation activity has radically changed with the appearance of China on the global scene starting from early 2000.

Suggested Citation

  • Alica Daly & Giulia Valacchi & Julio Raffo, 2019. "Measuring Innovation in the Mining Industry with Patents," WIPO Economic Research Working Papers 56, World Intellectual Property Organization - Economics and Statistics Division.
  • Handle: RePEc:wip:wpaper:56
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    References listed on IDEAS

    as
    1. Ernest Miguelez & Carsten Fink, 2013. "Measuring the International Mobility of Inventors: A New Database," WIPO Economic Research Working Papers 08, World Intellectual Property Organization - Economics and Statistics Division, revised May 2013.
    2. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    3. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1, March.
    4. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    5. Antoine Dechezleprêtre & Yann Ménière & Myra Mohnen, 2017. "International patent families: from application strategies to statistical indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 793-828, May.
    6. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    7. Nada Wasi & Aaron Flaaen, 2015. "Record linkage using Stata: Preprocessing, linking, and reviewing utilities," Stata Journal, StataCorp LP, vol. 15(3), pages 672-697, September.
    8. repec:wip:wpaper:8 is not listed on IDEAS
    9. Frederic Scherer, 1984. "Using Linked Patent and R&D Data to Measure Interindustry Technology Flows," NBER Chapters, in: R&D, Patents, and Productivity, pages 417-464, National Bureau of Economic Research, Inc.
    10. Bartos, Paul J., 2007. "Is mining a high-tech industry: Investigations into innovation and productivity advance," Resources Policy, Elsevier, vol. 32(4), pages 149-158, December.
    11. Josh Lerner & Amit Seru, 2017. "The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond," NBER Working Papers 24053, National Bureau of Economic Research, Inc.
    12. Catalina Martínez, 2011. "Patent families: When do different definitions really matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 39-63, January.
    13. Mila Kashcheeva & Sacha Wunsch-Vincent & Hao Zhou, 2014. "International Patenting Strategies of Chinese Residents: an analysis of foreign-oriented patent families," WIPO Economic Research Working Papers 20, World Intellectual Property Organization - Economics and Statistics Division.
    14. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June.
    15. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Intellectual property; patents; patent data; mining; innovation; mining services; METS;
    All these keywords.

    JEL classification:

    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources
    • L64 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Machinery; Business Equipment; Armaments

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