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Technology, Licensing and Multinational Production

Sophia Praetorius ()
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Sophia Praetorius: ECON - Département d'économie (Sciences Po) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris

Sciences Po Economics Publications (main) from HAL

Abstract: How flexible are multinational production networks when assembly technologies are specialized and costly to reconfigure? Using data on the global automotive industry from 2000-2023, I document that production is organized around discrete process technologies (platforms) that constrain where each product can be assembled. Exploiting the 2011 T¯ohoku earthquake as a quasi-natural experiment, I show that platform compatibility limits firms' ability to reallocate production after local shocks. Firms overcome this constraint by licensing technologies to each other. I develop and estimate a structural model of multinational production with discrete technology choice and inter-firm licensing. Models abstracting from production technologies overstate the reallocation induced by tariffs and understate the price incidence borne by the tariffing country's consumers. The model also allows to study policies restricting access to technologies: these can trigger more reallocation than a broad tariff war, with costs concentrated on the firms and locations bound by the affected technologies.

Keywords: Trade policy; FDI; Technology licensing; International trade; Multinational production (search for similar items in EconPapers)
Date: 2026-10-22
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-05296847v2
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