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

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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Academic Article

Stability of Democracies: A Complex Systems Perspective – with Karoline Wiesner, Alvin Birdi, Tina Eliassi-Rad, David Garcia, Stephan Lewandowsky, Patricia Palacios, Don Ross, Didier Sornet and Karim Thebault

Karoline Wiesner, Alvin Birdi, Tina Eliassi-Rad, Henry Farrell, David Garcia, Stephan Lewandowsky, Patricia Palacios, Don Ross, Didier Sornet and Karim Thebault (2019), “Stability of Democracies: A Complex Systems Perspective,” European Journal of Physics 40, 1:014002. The idea that democracy is under threat, after being largely dormant for at least 40 years, is looming increasingly large ...
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