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Firms in product space: Adoption, growth and competition

Author

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  • Luca Macedoni
  • John Morrow
  • Vladimir Tyazhelnikov

Abstract

Which products are potentially produced together? When demand for a product increases, which firms will supply it? Using multi-product production patterns within and across firms, we recover a continuous cost based distance between firms and unproduced products. Higher product distance implies decreasing adoption frequency. When export demand induces domestic product adoption, closer firms provide this supply. Potential costs imply measures of Revenue and Competition Potential. These predict firm sales growth, scope growth and core focus. If all firms produced all products linked by co-production, consumer welfare would increase by 10-30%.

Suggested Citation

  • Luca Macedoni & John Morrow & Vladimir Tyazhelnikov, 2024. "Firms in product space: Adoption, growth and competition," CEP Discussion Papers dp1978, Centre for Economic Performance, LSE.
  • Handle: RePEc:cep:cepdps:dp1978
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    References listed on IDEAS

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    1. Frank Neffke & Martin Henning & Ron Boschma, 2011. "How Do Regions Diversify over Time? Industry Relatedness and the Development of New Growth Paths in Regions," Economic Geography, Taylor & Francis Journals, vol. 87(3), pages 237-265, July.
    2. Robert C. Feenstra & James A. Levinsohn, 1995. "Estimating Markups and Market Conduct with Multidimensional Product Attributes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(1), pages 19-52.
    3. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    4. Pinelopi K Goldberg & Amit K Khandelwal & Nina Pavcnik & Petia Topalova, 2010. "Multiproduct Firms and Product Turnover in the Developing World: Evidence from India," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1042-1049, November.
    5. Ilke Van Beveren & Andrew B. Bernard & Hylke Vandenbussche, 2012. "Concording of EU trade and production data over time," Working Paper Research 239, National Bank of Belgium.
    6. Ilke Van Beveren & Andrew B. Bernard & Hylke Vandenbussche, 2012. "Concording EU Trade and Production Data over Time," NBER Working Papers 18604, National Bureau of Economic Research, Inc.
    7. Escolar, Emerson G. & Hiraoka, Yasuaki & Igami, Mitsuru & Ozcan, Yasin, 2023. "Mapping firms’ locations in technological space: A topological analysis of patent statistics," Research Policy, Elsevier, vol. 52(8).
    8. Swati Dhingra & John Morrow, 2019. "Monopolistic Competition and Optimum Product Diversity under Firm Heterogeneity," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 196-232.
    9. Macedoni, Luca, 2022. "Large multiproduct exporters across rich and poor countries: Theory and evidence," Journal of Development Economics, Elsevier, vol. 156(C).
    10. Miguel R. Guevara & Dominik Hartmann & Manuel Aristarán & Marcelo Mendoza & César A. Hidalgo, 2016. "The research space: using career paths to predict the evolution of the research output of individuals, institutions, and nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1695-1709, December.
    11. Alex Bishop & Juan Mateos-Garcia & George Richardson, 2022. "Using Text Data to Improve Industrial Statistics in the UK," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-01, Economic Statistics Centre of Excellence (ESCoE).
    12. Leonid Kogan & Dimitris Papanikolaou & Lawrence D. W. Schmidt & Bryan Seegmiller, 2021. "Technology, Vintage-Specific Human Capital, and Labor Displacement: Evidence from Linking Patents with Occupations," NBER Working Papers 29552, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Herkenhoff, Philipp & Krautheim, Sebastian & Sauré, Philip, 2024. "A simple model of buyer–seller networks in international trade," European Economic Review, Elsevier, vol. 170(C).
    2. Jackie M.L. Chan & Michael Irlacher & Michael Koch & Luca Macedoni, 2025. "Wage Setting in Multiproduct Firms," Economics working papers 2025-02, Department of Economics, Johannes Kepler University Linz, Austria.

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    More about this item

    Keywords

    multi-product firms; firm capabilities; product classification; product space; growth paths;
    All these keywords.

    JEL classification:

    • F1 - International Economics - - Trade
    • D2 - Microeconomics - - Production and Organizations
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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