His blog makes the point:
That is, I’d argue, the way to think about the coming Trump shock. You can’t really turn the clock back a quarter-century; but even trying can produce exactly the kind of rapid, disruptive shifts in production that fed blue-collar anger going into this election.The idea is expanded in the column:
What the coming trade war will do, however, is cause a lot of disruption. Today’s world economy is built around “value chains” that spread across borders: your car or your smartphone contain components manufactured in many countries, then assembled or modified in many more. A trade war would force a drastic shortening of those chains, and quite a few U.S. manufacturing operations would end up being big losers, just as happened when global trade surged in the past.
. . .
Recent empirical research seems to tell us that such damages are more persistent than we had thought:
China’s emergence as a great economic power has induced an epochal shift in patterns of world trade. Simultaneously, it has challenged much of the received empirical wisdom about how labor markets adjust to trade shocks. Alongside the heralded consumer benefits of expanded trade are substantial adjustment costs and distributional consequences. These impacts are most visible in the local labor markets in which the industries exposed to foreign competition are concentrated. Adjustment in local labor markets is remarkably slow, with wages and labor-force participation rates remaining depressed and unemployment rates remaining elevated for at least a full decade after the China trade shock commences. Exposed workers experience greater job churning and reduced lifetime income. At the national level, employment has fallen in U.S. industries more exposed to import competition, as expected, but offsetting employment gains in other industries have yet to materialize. Better understanding when and where trade is costly, and how and why it may be beneficial, are key items on the research agenda for trade and labor economists.
