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Patents as a measure for eco-innovation

Author

Listed:
  • Vanessa Oltra

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Ray Kemp

    (Institute of Information Sciences and Technology - Department of Computer Science, Massey University)

  • Fred de Vries

    (OTEC - Educational Technology Expertise Centre - Open Universiteit Nederland [Heerlen])

Abstract

This paper examines the usefulness of patent analysis for measuring different types of eco-innovation. The overall conclusion is that patents are a useful means for measuring environmentally motivated product innovations, and more generally technologies with environmental benefits. For these types of innovations it is acceptable to use patent analysis, provided they are carefully screened for relevance. Patent analysis may be used for measuring five attributes of eco-innovation: 1) eco-inventive activities in specific technology fields; 2) international technological diffusion; 3) research and technical capabilities of companies; 4) institutional knowledge sources of eco-innovation; 5) technological spillovers and knowledge flows.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Vanessa Oltra & Ray Kemp & Fred de Vries, 2008. "Patents as a measure for eco-innovation," Post-Print hal-00391546, HAL.
    • Handle: RePEc:hal:journl:hal-00391546
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    JEL classification:

    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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