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Public support for technical advance: the role of firm size

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  • Ashish Arora
  • Wesley M. Cohen

Abstract

This article develops a model that shows how firm size—that most important firm-level correlate of R&D—moderates the impact of demand- and supply-side government policies that support R&D. The most robust result is that government support to product R&D will elicit less of a response the greater is average firm size within the industry. This result suggests, for example, that government support to upstream research in the life sciences will stimulate less downstream industrial investment in the development of new drugs to the extent that the firms in the downstream industry are larger. The model also predicts that where entry is less encumbered, we can expect demand-side subsidies to elicit greater product R&D within an industry. Thus, to the degree that, for example, barriers to entering the solar panel manufacturing industry are lower, we should expect R&D on solar panel development to rise more in response to tax credits for their purchase.

Suggested Citation

  • Ashish Arora & Wesley M. Cohen, 2015. "Public support for technical advance: the role of firm size," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(4), pages 791-802.
    • Handle: RePEc:oup:indcch:v:24:y:2015:i:4:p:791-802.
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    File URL: http://hdl.handle.net/10.1093/icc/dtv028
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    Citations

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    Cited by:

    1. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    2. Abhishek Nagaraj, 2022. "T he P rivate I mpact of P ublic D ata: L andsat S atellite M aps I ncreased G old D iscoveries and E ncouraged E ntry," Management Science, INFORMS, vol. 68(1), pages 564-582, January.
    3. Pham, Huy & Ha, Van & Le, Hanh-Hong & Ramiah, Vikash & Frino, Alex, 2024. "The effects of polluting behaviour, dirty energy and electricity consumption on firm performance: Evidence from the recent crises," Energy Economics, Elsevier, vol. 129(C).
    4. Cao, Qinwei & Qiu, Shunli & Huang, Jian, 2022. "Contradiction and mechanism analysis of science and technology input-output: Evidence from key universities in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    5. Jugend, Daniel & Fiorini, Paula De Camargo & Armellini, Fabiano & Ferrari, Aline Gabriela, 2020. "Public support for innovation: A systematic review of the literature and implications for open innovation," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    6. Sara Amoroso, 2017. "Multilevel heterogeneity of R&D cooperation and innovation determinants," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(1), pages 93-120, April.
    7. Agnese Rapposelli & Giuliana Birindelli & Michele Modina, 2024. "The relationship between firm size and efficiency: why does default on bank loans matter?," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3379-3401, August.

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