Henry Farrell

The Folly of Decoupling From China – with Abraham Newman

On May 14, U.S. President Donald Trump threatened to break the United States’ economic relationship with China. “There are many things we could do,” he told Fox Business host Maria Bartiromo. “We could cut off the whole relationship. Now if you did, what would happen? You’d save $500 billion.” It was Trump’s most extreme anti-China rhetoric to date, but it wasn’t out of step with the mood in Washington. Both Republicans and Democrats agree that China has transformed from a competitor into an adversary, and perhaps even an enemy.

As tensions have mounted as a result of the

Henry Farrell and Abraham Newman, “The Folly of Decoupling From China,” Foreign Affairs (online), June 3, 2020.

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Other Writing:

Chapter in an Edited Volume

“Constructing Mid-Range Theories of Trust: The Role of Institutions” in Whom Can We Trust? How Groups, Networks, and Institutions Make Trust Possible (the Capstone volume of the Russell Sage Foundation project on Trust) – eds. Karen Cook, Russell Hardin and Margaret Levi

November 25, 2009 eds. Karen Cook Russell Hardin and Margaret Levi Russell Sage Foundation: 2009
The last fifteen years have seen an explosion in research on trust, but there are still important gaps in our understanding of its sources and consequences.1 In particular, we know relatively little about the relationship between trust and the other sources of cooperation that social scientists have identified, most prominently institutions, sets of rules that ...
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Essay

What If These Economic Weapons Fall into Trump’s Hands? – with Abraham Newman

October 11, 2023 New York Times with Abraham Newman
The Biden administration has built an unprecedented machine for economic and technological coercion. When Russia invaded Ukraine, the United States and its allies cut off Russia’s access to its own central bank reserves held outside Russia. The administration revamped export controls to strangle China’s access to the powerful and specialized semiconductors needed to train A.I., ...
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