Iurkov, V, Koval, M and Zaefarian, G orcid.org/0000-0001-5824-8445 (2023) How much does domestic location matter for B2B firms’ export intensity? A variance decomposition study. Journal of International Marketing. ISSN 1069-031X
Abstract
Business-to-business (B2B) firms leverage the advantages of their domestic location to export goods and services. However, little empirical research has examined the extent to which domestic location effects explain variation in B2B firms’ export intensity, despite their potentially critical role. In this study, the authors explore this question with a variance decomposition analysis—an approach that allows them to quantitatively examine the relative contribution of domestic location and other effects on B2B firms’ export intensity. Their analysis uses a large longitudinal sample of 7,465 European B2B firms over 15 years (2004–2018). Splitting domestic location effects into the home country and subnational region (a geographic space within a country) effects, they find that each explains a substantial portion of the variation in export intensity. Notably, the results show that the examined effects are more critical for small and medium-sized enterprises than for larger B2B firms. Domestic location factors also matter more for B2B manufacturing than service firms. The findings enhance scholarly and managerial understanding of the application and predictive power of domestic location effects in explaining firm internationalization through exports.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © American Marketing Association 2023. This is an author produced version of an article published in Journal of International Marketing. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | variance decomposition analysis, export intensity, home country, subnational region |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Apr 2023 11:57 |
Last Modified: | 25 Jun 2023 23:18 |
Status: | Published online |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/1069031X231170206 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197933 |