JOURNAL ARTICLE
How Do Restrictions on High-Skilled Immigration Affect Offshoring? Evidence from the H-1B Program.
Published In: Management Science (INFORMS), 2024, v. 70, n. 2. P. 907 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Glennon, Britta 3 of 3
Abstract
This article investigates how U.S. multinational companies (MNCs) respond to restrictive skilled immigration policies, specifically limitations on H-1B visas, by offshoring employment to foreign affiliates. Using detailed firm-level data on visa applications and multinational activity, the study finds that such restrictions cause firms to increase foreign affiliate employment both within existing affiliates and by opening new affiliates, particularly in China, India, and Canada. The offshoring effect is strongest for research and development (R&D) jobs but also extends to non-R&D employment, reflecting complementarities between innovation and production activities. Firm capabilities, measured by prior internationalization, significantly moderate this response: the most globalized firms substitute nearly one foreign affiliate job for every rejected visa, while the average firm substitutes less than half a job. These findings highlight skilled immigration restrictions as a push factor for the internationalization of knowledge work and suggest that domestic immigration policies can have unintended consequences on firm location choices and national innovative capacity.
Additional Information
- Source:Management Science (INFORMS). 2024/02, Vol. 70, Issue 2, p907
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2024
- ISSN:0025-1909
- DOI:10.1287/mnsc.2023.4715
- Accession Number:175542977
- Copyright Statement:Copyright of Management Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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