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The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services

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Abstract

Business innovation is an important driver of productivity growth. In this paper, I assess the importance of R&D and ICT investment for firm performance in the manufacturing and service industries. Explicitly, I use an extended version of the CDM model that treats ICT together with R&D as the main inputs into innovation and productivity, and test it on a large unbalanced panel data set based on the innovation survey for Norway. Four different types of innovation and the number of patent applications are used as innovation output measures. I find that ICT investment is strongly associated with all types of innovation in both sectors, with the result being strongest for product innovation in manufacturing and for process innovation in service industries. The impact of ICT on patenting is only positive in manufacturing. Overall, ICT seems to be less important than R&D for innovation, but more important for productivity. These results support the proposition that ICT is an important driver of productivity growth. Given the high rate of ICT diffusion in Norway, my results also contribute to explaining what is referred to as the 'Norwegian productivity puzzle', i.e. the fact that Norway is one of the most productive economies in the OECD despite having relatively low R&D intensity.

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  • Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:801
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    Cited by:

    1. Pierre Mohnen & Michael Polder & George van Leeuwen, 2019. "Information and Communications Technology, R&D, and Organizational Innovation: Exploring Complementarities in Investment and Production," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 299-322, National Bureau of Economic Research, Inc.
    2. Khanna, Rupika & Sharma, Chandan, 2018. "Testing the effect of investments in IT and R&D on labour productivity: New method and evidence for Indian firms," Economics Letters, Elsevier, vol. 173(C), pages 30-34.
    3. Pierre Mohnen & Michael Polder & George van Leeuwen, 2018. "ICT, R&D and Organizational Innovation: Exploring Complementarities in Investment and Production," NBER Working Papers 25044, National Bureau of Economic Research, Inc.
    4. Marina Rybalka & Michael Spjelkavik Mark, 2023. "Innovation Pattern Heterogeneity and Crisis Resilience," Businesses, MDPI, vol. 3(2), pages 1-24, May.

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    More about this item

    Keywords

    Innovation; ICT; R&D; Productivity; CDM model; Manufacturing and Services;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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