WASHINGTON (AP) — President Joe Biden will be trying to connect with blue-collar workers Wednesday when he travels to a truck factory in Pennsylvania to advocate for government investments and clean energy as ways to strengthen U.S. manufacturing.
The Democrat will tour the Lehigh Valley operations facility for Mack Trucks, a chance to touch base with the plant’s 2,500 workers, a majority of whom are unionized. Biden has made manufacturing jobs a priority, and Democrats’ political future next year might hinge on whether he succeeds in reinvigorating a sector that has steadily lost jobs for more than four decades.
The administration is championing a $973 billion infrastructure package, $52 billion for computer chip production, sweeping investments in clean energy and the use of government procurement contracts to create factory jobs. Biden will be briefed Wednesday on Mack’s electric garbage trucks.
“This is all part of his effort to lift up and talk about his Buy American agenda as well as the infrastructure package,” White House press secretary Jen Psaki said Tuesday in previewing the visit.
The president won Lehigh County in the 2020 election, but he is facing the perpetual challenge of past administrations to revive a manufacturing sector at the heart of American identity. Failure to bring back manufacturing jobs could further hurt already ailing factory towns across the country and possibly imperil Democrats’ chances in the 2022 midterm elections.
Pennsylvania Sen. Pat Toomey, a Republican, said Biden should siphon off unspent money from his $1.9 trillion coronavirus relief package to cover the investments in infrastructure, instead of relying on tax increases and other revenue raisers to do so.
“Hopefully, he will use his visit to learn about the real, physical infrastructure needs of Pennsylvanians — and the huge sums of unused ‘COVID’ funds which should pay for that infrastructure,” Toomey said in a statement.
Deindustrialization has been a thorny problem for Democrats seeking voters during elections.
Layoffs of white factory workers led communities to vote for Republican challengers and turn against Democratic incumbents, according to a 2021 research paper by McGill University’s Leonardo Baccini and Georgetown University’s Stephen Weymouth. They found a connection between deindustrialization and greater racial division as white voters interpreted the layoffs as a loss of social status.
Areas with more factory layoffs also became more pessimistic about the entire economy. The trends documented in the research were most pronounced in 2016, when Donald Trump won the White House while emphasizing blue-collar identity and racial differences.
One challenge for Democrats is that they’re not being forced to deal with the most recent manufacturing job losses, but layoffs that began decades ago.
“Biden would benefit from an improved manufacturing jobs outlook,” Weymouth said. “But a lot of economists think that many of these jobs are gone for good. And so, it’s an uphill battle. There’s alternatives: The president can pursue a more substantial social safety net for people who lose their jobs or investments in these communities that declined for decades.”
The Biden administration is separately trying to help domestic manufacturers by proposing Wednesday to increase the amount of American-made goods being purchased by the federal government.
Administration officials who insisted on anonymity to discuss the measures said they’re proposing that any products bought by the government must have 60% of the value of their component parts manufactured in the United States. The proposal would gradually increase that figure to 75% by 2029, significantly higher than the 55% threshold under current law.
Manufacturing has improved since the depths of more than a year ago during the coronavirus pandemic-induced recession. Labor Department data show that factories have regained about two-thirds of the 1.4 million manufacturing jobs lost because of the outbreak. Factory output as tracked by the Federal Reserve is just below its pre-pandemic levels.
