While Peng and Xu (2024) show universities boost city-level innovation, entrepreneurship, and growth in China, we know little about how these externalities behave under large trade shocks and de-risking episodes. This project brings spatial macro (Bond-Smith et al., 2024) to bear on that question. The idea is that universities serve as “innovation insurance”: during de-risking from China (Fodouop Kouam & Ekweozor, 2024), regions with higher pre-existing university quality, breadth of research fields, and tech-transfer capacity better retool supply chains, pivot product lines, and spawn new firms. Identification uses shift-share exposure to China-related import disruptions (tariffs in 2018, pandemic-era blockages) and interacts it with pre-shock university strength. Outcomes include new firm formation, patent diversity (entropy of IPC classes), green patent shares (Wei et al., 2023), and local GDP growth. The novelty is to treat universities as dynamic shock absorbers rather than static growth boosters, and to explicitly link their role to the direction of innovation (e.g., green vs brown) and resilience. The policy implication is concrete: place-based investments in universities and tech transfer are not just growth policies—they’re macro-stabilizers for innovation ecosystems during geopolitical realignments.
References:
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@misc{gpt-5-universities-as-macro-2025,
author = {GPT-5},
title = {Universities as Macro Shock Absorbers: Place-Based Innovation Insurance in Times of De-risking},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/UMVF8v5mDlzNZd74Tjpa}
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