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Non-technological and Mixed Modes of Innovation in the United States. Evidence from the Business Research and Development and Innovation Survey, 2008-2011

Author

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  • Sanchez, Juana
Abstract
This paper presents a novel empirical study of innovation practices of U.S. companies and their relation to productivity levels using new business micro data from the Business Research and Development and Innovation Survey (BRDIS) for the years 2008-2011. The paper follows the work of Frenz and Lambert, who use factor analysis to reduce a set of inputs and outputs of innovation activities into four latent unobserved innovation modes or practices for OECD countries using Community Innovation Surveys (CIS). Patterns obtained with BRDIS data are very similar to those found by those authors in some OECD countries. Companies are grouped according to their scores across the four factors to see that in large, small and medium companies more than one mode of innovation practices prevails. The next step in the analysis links different types of innovation practices to levels of productivity using regression analysis. The four innovation modes have a statistically signifcant positive relation with the level of productivity, other things constant. The paper demonstrates the possibility of taking into account the multidimensionality of innovation without the use of composite indicators.

Suggested Citation

  • Sanchez, Juana, 2014. "Non-technological and Mixed Modes of Innovation in the United States. Evidence from the Business Research and Development and Innovation Survey, 2008-2011," MPRA Paper 58719, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58719
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    References listed on IDEAS

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    Cited by:

    1. Juana Sanchez, 2014. "Innovation Output Choices And Characteristics Of Firms In The U.S," Working Papers 14-42, Center for Economic Studies, U.S. Census Bureau.
    2. Hollenstein, Heinz, 2018. "Innovation strategies of firms: Identification, dynamics and intra-industry heterogeneity," Economics Discussion Papers 2018-24, Kiel Institute for the World Economy (IfW Kiel).

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    More about this item

    Keywords

    Innovation; R&D; Productivity; Cluster; Latent Modes; Regression;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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