The Productivity Effects of Regional Anchors on Local Firms in Swedish Regions between 2007 and 2019 – Evidence from an Expert-informed Machine-Learning Approach

Magnus Nilsson, Torben Schubert () and Johan Miörner ()
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Torben Schubert: CIRCLE, Lund University, Postal: CIRCLE - Centre for Innovation Research, Lund University, PO Box 117, SE-22100 Lund, Sweden
Johan Miörner: CIRCLE, Lund University, Postal: CIRCLE - Centre for Innovation Research, Lund University, PO Box 117, SE-22100 Lund, Sweden

No 2023/8, Papers in Innovation Studies from Lund University, CIRCLE - Centre for Innovation Research

Abstract: This paper analyses the impact of regional anchors on local firms in Swedish regions. Departing from previous idiographic research, we adopt a nomothetic research design relying on a stepwise expert-informed supervised machine learning approach to identify the population of anchor firms in the Swedish economy between 2007 and 2019. We find support for positive anchor effects on the productivity of other firms in the region. These effects are moderated by regional and anchor conditions. We find that the effects are greater when there are multiple anchors within the same industry and that the effects are larger in economically weaker regions.

Keywords: anchor-tenant; productivity; machine learning; anchor firms; Sweden (search for similar items in EconPapers)
JEL-codes: D24 O30 R11 R12 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2023-10-10
New Economics Papers: this item is included in nep-bec, nep-big, nep-cmp, nep-eff, nep-geo, nep-ino, nep-sbm, nep-tid and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:lucirc:2023_008

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