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Technological innovation and the distribution of employment growth: a firm-level analysis

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  • Flavio Calvino

Abstract

This work studies the firm-level relationship between different types of innovative activities and employment growth rates. Improving on previous investigations on the topic, it combines a detailed analysis of the effects of product and process innovation on average employment growth with a broader outlook on the whole conditional employment growth distribution. Results show that product innovation—especially in terms of good new to the entire market—has a positive effect on employment growth. This role is likely to be particularly relevant for both fast-growing and shrinking firms. Process innovation appears instead to have less clear-cut dynamics, consistently with existing evidence. Among different types of process innovation, the introduction of novel auxiliary processes appears to be more positively linked with employment growth.

Suggested Citation

  • Flavio Calvino, 2019. "Technological innovation and the distribution of employment growth: a firm-level analysis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(1), pages 177-202.
    • Handle: RePEc:oup:indcch:v:28:y:2019:i:1:p:177-202.
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    File URL: http://hdl.handle.net/10.1093/icc/dty003
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    Citations

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    Cited by:

    1. Daragh O'Leary & Justin Doran & Bernadette Power, 2022. "Intensity of competition and firm innovative behavior," Economics and Business Letters, Oviedo University Press, vol. 11(2), pages 53-69.
    2. Juthathip Jongwanich & Archanun Kohpaiboon & Ayako Obashi, 2020. "Technological Advancement, Import Penetration, and Labour Markets: Evidence from Thai Manufacturing," Working Papers DP-2020-09, Economic Research Institute for ASEAN and East Asia (ERIA).
    3. Feihong Zheng & Yue Niu, 2023. "Environmental Decentralization, Resource Endowment and Urban Industrial Transformation and Upgrading: A Comparison of Resource-Based and Non-Resource-Based Cities in China," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    4. Carita Eklund & Kristof van Criekingen, 2022. "Fast as a gazelle – young firms gaining from educational diversity," Industry and Innovation, Taylor & Francis Journals, vol. 29(8), pages 927-947, September.
    5. Rocío Guede-Cid & Leticia Rodas-Alfaya & Santiago Leguey-Galán & Ana I. Cid-Cid, 2021. "Innovation Efficiency in the Spanish Service Sectors, and Open Innovation," JOItmC, MDPI, vol. 7(1), pages 1-18, February.
    6. Díaz, Guillermo Arenas & Barge-Gil, Andrés & Heijs, Joost, 2020. "The effect of innovation on skilled and unskilled workers during bad times," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 141-158.
    7. Juthathip Jongwanich & Archanun Kohpaiboon, 2024. "Digital technology adoption and SMEs’ Financial Performance: Evidence from Thailand," Discussion Papers 81, Thammasat University, Faculty of Economics, revised Jan 2024.
    8. Juthathip Jongwanich & Archanun Kohpaiboon & Ayako Obashi, 2020. "Technological Advancement, Import Penetration, and Labour Markets: Evidence from Thai Manufacturing," Working Papers ERIA-DP-2020-09, Economic Research Institute for ASEAN and East Asia (ERIA).

    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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