Firms in product space: adoption, growth and competition
Luca Macedoni,
John Morrow and
Vladimir Tyazhelnikov
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
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%.
Keywords: multi-product firms; firm capabilities; product classification; product space; growth paths (search for similar items in EconPapers)
JEL-codes: D2 F1 L1 L23 L25 (search for similar items in EconPapers)
Pages: 65 pages
Date: 2024-02-02
New Economics Papers: this item is included in nep-com
References: Add references at CitEc
Citations:
Downloads: (external link)
http://eprints.lse.ac.uk/126833/ Open access version. (application/pdf)
Related works:
Working Paper: Firms in product space: Adoption, growth and competition (2024) 
Working Paper: Firms in Product Space: Adoption, Growth and Competition (2024) 
Working Paper: Firms in Product Space: Adoption, Growth and Competition (2024) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:126833
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().