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The Structure of Firm R&D and the Factor Intensity of Production

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  • James D Adams

Abstract

This paper studies the influence of the structure of firm R&D, industry R&D spillovers, and plant level physical capital on the factor intensity of production. By the structure of firm R&D we mean its distribution across states and products. By factor intensity we mean the cost shares of variable factors, which in this paper are blue collar labor, white collar labor, and materials. We characterize the effect of the structure of firm R&D on factor intensity using a Translog cost function with quasi-fixed factors. This cost function gives rise to a system of variable cost shares that depends on factor prices, firm and industry R&D, and physical capital.

Suggested Citation

  • James D Adams, 1997. "The Structure of Firm R&D and the Factor Intensity of Production," Working Papers 97-15, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:97-15
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    Cited by:

    1. Piva, Mariacristina & Santarelli, Enrico & Vivarelli, Marco, 2005. "The skill bias effect of technological and organisational change: Evidence and policy implications," Research Policy, Elsevier, vol. 34(2), pages 141-157, March.
    2. Guido Friebel & Gerard McCullough & Laura Padilla Angulo, 2014. "Patterns of Restructuring The US Class 1 Railroads from 1984 to 2004," Journal of Transport Economics and Policy, University of Bath, vol. 48(1), pages 115-135, January.
    3. Gray, Richard S. & Malla, Stavroula & Tran, Kien C., 2003. "An Empirical Analysis Of Public And Private Spillovers Within The Canola Biotech Industry," 2003 Annual meeting, July 27-30, Montreal, Canada 22137, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. K. Raabe & I. Arnold & C.J.M. Kool, 2006. "Firm Size and Monetary Policy Transmission: A Theoretical Model on the Role of Capital Investment Expenditures," Working Papers 06-14, Utrecht School of Economics.
    5. TESTE, Thierry, 1999. "Technologies de l'information et de la communication : Approches économètriques sur le paradoxe de productivité," LATEC - Document de travail - Economie (1991-2003) 1999-06, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    6. Lucy Chennells & John Van Reenen, 1999. "Has technology hurt less skilled workers? A survey of the micro-econometric evidence," IFS Working Papers W99/27, Institute for Fiscal Studies.
    7. Ljubica Nedelkoska & Simon Wiederhold, 2010. "Technology, outsourcing, and the demand for heterogeneous labor: Exploring the industry dimension," Jena Economics Research Papers 2010-052, Friedrich-Schiller-University Jena.
    8. Hollanders, Hugo & ter Weel, Bas, 2002. "Technology, knowledge spillovers and changes in employment structure: evidence from six OECD countries," Labour Economics, Elsevier, vol. 9(5), pages 579-599, November.
    9. Lucia Foster & Cheryl Grim, 2010. "Characteristics of the Top R&D Performing Firms in the U.S.: Evidence from the Survey of Industrial R&D," Working Papers 10-33, Center for Economic Studies, U.S. Census Bureau.
    10. Harabi, Najib, 2000. "Employment Effects of Ecological Innovations: An Empirical Analysis," MPRA Paper 4395, University Library of Munich, Germany.

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    More about this item

    Keywords

    CES; economic; research; micro; data; microdata; chief; economist;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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