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Research Efficiency in Manufacturing: An Application of DEA at the Industry Level

Author

Listed:
  • Jens Schmidt-Ehmcke
  • Petra Zloczysti

Abstract

This paper analyzes research efficiency at the industry level in manufacturing for 13 European member and four nonmember countries during 2000 and 2004. A unique dataset was compiled that matches patent applications at the European Patent Office (EPO) to industry-specific R&D inputs from EU KLEMS. We find that Germany, the United States, and Denmark have the highest efficiency scores on average in total manufacturing. The main industries that are at the technology frontier are those involved in electrical and optical equipment and machinery. Separate frontier estimations for these industries, conducted without the constraint of a constant technology frontier, provide additional support for our results.

Suggested Citation

  • Jens Schmidt-Ehmcke & Petra Zloczysti, 2009. "Research Efficiency in Manufacturing: An Application of DEA at the Industry Level," Discussion Papers of DIW Berlin 884, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp884
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.97909.de/dp884.pdf
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    Citations

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    Cited by:

    1. Roman, Monica & Suciu, Christina, 2012. "Analiza eficienţei activităţii de cercetare dezvoltare inovare prin metoda DEA [The Efficency Analysis Of R&D Activities By Using Dea]," MPRA Paper 44000, University Library of Munich, Germany.
    2. Monica Roman, 2010. "Regional Efficiency Of The Knowledge Economy In The New Eu Countries: The Romanian And Bulgarian Case," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 4(1), pages 33-53, JUNE.
    3. Ron Boschma & Simona Iammarino & Raffaele Paci & Jordy Suriñach & Corinne Autant-Bernard & Sylvie Chalaye & Elisa Gagliardini & Stefano Usai, 2017. "European Knowledge Neighbourhood: Knowledge Production in EU Neighbouring Countries and Intensity of the Relationship with EU Countries," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(1), pages 52-75, February.
    4. Marta Foddi & Stefano Usai, 2013. "Regional Knowledge Performance in Europe," Growth and Change, Wiley Blackwell, vol. 44(2), pages 258-286, June.
    5. Shiping Mao & Marios Dominikos Kremantzis & Leonidas Sotirios Kyrgiakos & George Vlontzos, 2022. "R&D Performance Evaluation in the Chinese Food Manufacturing Industry Based on Dynamic DEA in the COVID-19 Era," Agriculture, MDPI, vol. 12(11), pages 1-19, November.
    6. Serkan Atmaca, 2011. "Patents from the Academe: A Methodology Research for the Analysis of University Patents and Preliminary Findings for Turkey," STPS Working Papers 1101, STPS - Science and Technology Policy Studies Center, Middle East Technical University, revised Dec 2011.
    7. M. Foddi & S. Usai, 2012. "Regional innovation performance in Europe," Working Paper CRENoS 201221, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    More about this item

    Keywords

    R&D efficiency; industry level; data envelopment analysis; manufacturing;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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