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A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification

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  • Paola Cardamone

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  • Paola Cardamone, 2012. "A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification," Journal of Productivity Analysis, Springer, vol. 37(1), pages 41-58, February.
    • Handle: RePEc:kap:jproda:v:37:y:2012:i:1:p:41-58
    DOI: 10.1007/s11123-011-0225-3
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    32. Paola Cardamone, 2010. "The role of R&D spillovers in product and process innovation," Applied Economics Letters, Taylor & Francis Journals, vol. 17(5), pages 483-493.
    33. Jaffe, Adam B, 1988. "Demand and Supply Influences in R&D Intensity and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 431-437, August.
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    36. Gustavsson, Patrik & Poldahl, Andreas, 2003. "Determinants of Firm R&D: Evidence from Swedish Firm Level Data," Working Paper Series 190, Trade Union Institute for Economic Research.
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    Cited by:

    1. Ángela Vásquez-Urriago & Andrés Barge-Gil & Aurelia Rico & Evita Paraskevopoulou, 2014. "The impact of science and technology parks on firms’ product innovation: empirical evidence from Spain," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 835-873, September.
    2. Aiello, Francesco & Cardamone, Paola, 2012. "Regional economic divide and the role of technological spillovers in Italy. Evidence from microdata," Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 205-220.

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    More about this item

    Keywords

    R&D spillovers; Translog; Technical efficiency; Italian manufacturing firms; O33; L29; C23;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • L29 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Other
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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