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Poolability and Aggregation Problems of Regional Innovation Data: An Application to Nanomaterial Patenting

Author

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  • Roberto Patuelli

    () (Institute for Economic Research (IRE), University of Lugano, Switzerland; The Rimini Centre for Economic Analysis, Italy)

  • Andrea Vaona

    () (Institute for Economic Research (IRE), University of Lugano, Switzerland; Kiel Institute for the World Economy, Germany)

  • Christoph Grimpe

    () (ZEW Centre for European Economic Research, Mannheim, Germany; Catholic University of Leuven, Belgium; University of Zurich, Switzerland)

Abstract

Research and development (R&D) in the field of nanomaterials is expected to be a major driver of innovation and economic growth. In this respect, many countries, as national systems of innovation, have established support programs offering subsidies for industry- and government-funded R&D. Consequently, it is of great interest to understand which factors facilitate the creation of new technological knowledge. The existing literature has typically addressed this question by employing a knowledge production function based on firm-, regional- or even country-level data. Estimating the effects for the entire national system of innovation, however, implicitly assumes poolability of regional data. We apply our reasoning to Germany, which has well-known – and wide – regional disparities, for example between the former East and West. Based on analyses at the level of NUTS-3 regions, we find different knowledge production functions for the East and the West. Moreover, we investigate how our results are affected by the adoption of alternative aggregation levels. Our findings have implications for further research in the field, that is, a careful evaluation of poolability and aggregation is required before estimating knowledge production functions at the regional level. Policy considerations are offered as well.

Suggested Citation

  • Roberto Patuelli & Andrea Vaona & Christoph Grimpe, 2008. "Poolability and Aggregation Problems of Regional Innovation Data: An Application to Nanomaterial Patenting," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0810, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpaper:0810
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    References listed on IDEAS

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    Cited by:

    1. Paulo Maçãs Nunes & Zélia Serrasqueiro & Jacinto Vidigal da Silva, 2014. "Family-owned and non family-owned SMEs: empirical evidence of survival determinants," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 68-76.
    2. Dohse, Dirk & Vaona, Andrea, 2014. "Start-up complexity and the thickness of regional input markets," Economics Letters, Elsevier, vol. 124(3), pages 424-427.
    3. Riccardo Ferretti & Pierpaolo Pattitoni & Anna Salinas, 2015. "The effectiveness of insider trading regulations: The case of the Italian tender offers," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0057, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    4. R. Ferretti & P. Pattitoni & R. Patuelli, 2016. "Market Abuse Directive and Insider Trading: Evidence from Italian Tender Offers," Working Papers wp1071, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Riccardo Ferretti & Pierpaolo Pattitoni & Anna Salinas, 2015. "The effectiveness of insider trading regulations: The case of the Italian tender offers," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 15309, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    6. Paola Brighi & Roberto Patuelli & Giuseppe Torluccio, 2012. "Self-Financing of Traditional and R&D Investments: Evidence from Italian SMEs," Working Paper series 61_12, Rimini Centre for Economic Analysis.
    7. Guido Candela & Massimiliano Castellani & Pierpaolo Pattitoni & F. Marta L. Lascio, 2016. "On Rosen’s and Adler’s hypotheses in the modern and contemporary visual art market," Empirical Economics, Springer, vol. 51(1), pages 415-437, August.

    More about this item

    Keywords

    nanotechnology; patents; poolability; aggregation; Germany; spatial autocorrelation; spatial filtering;

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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