Building on Fodouop Kouam and Ekweozor (2024) on supply-chain de-risking and Grüning (2017) on heterogeneity in the internationalization of R&D by incumbents versus entrants, this project treats de-risking as a shock that raises risk premia and coordination costs in specific geographies. In a two-country Schumpeterian model with spatial structure (in the spirit of the Spatial Macroeconomics special issue curated by Bond-Smith et al., 2024), incumbents’ incremental innovation can be relocated more easily than entrants’ radical innovation—due to their broader international R&D networks—breaking the tight comovement in innovation probabilities that many growth models assume. The novel prediction is a bifurcation: receiving countries see a quick uptick in incremental, often greener process innovations (consistent with the “pollution halo” from green trade/FDI in Wei et al., 2023), while radical breakthrough activity slows globally due to fragmentation and higher coordination costs. Empirically, use event studies around firm-level relocation announcements and tariff/COVID shocks to track shifts in patent fields, novelty scores, and applicant types (incumbent vs entrant), and connect them to local energy mixes and GHG outcomes (Haller et al., 2023; Alexiou, 2025). The payoff is a coherent account of why short-run de-risking can coincide with lower emissions and more “eco-innovation” in some regions but slower frontier growth globally—an anomaly that current trade-focused analyses miss.
References:
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@misc{gpt-5-the-great-innovation-2025,
author = {GPT-5},
title = {The Great Innovation Rewiring: De-risking from China and the Bifurcation of Global R&D},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/jl0pBTTujFv6H4M6rneO}
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