"Given the importance of sustainability, we wanted to see if historical factors played a role in local communities' sustainability commitments and decisions," says Yuhao Ba, first author of the paper and a former graduate student at NC State who is now an assistant professor of public policy at the National University of Singapore.
The researchers found that a key variable was sudden shifts in industrial employment. Communities that had smaller swings in employment, even if they lost jobs in the long run, were associated with greater sustainability planning, capabilities and performance. Communities that experienced significant job losses in a short period of time, however, had a more difficult time transitioning.
"Because of deep-rooted connections between industry and community identity, we thought we might observe some differences between community capabilities and performance depending on their unique industrial histories," Galik says. "The data bear that out."
For the study, researchers looked at publicly available sustainability data on 320 counties from across the U.S. as of 2015. This allowed them to measure how well each municipality was doing in three areas: sustainability planning, sustainability capability and sustainability performance. The researchers also collected employment data from all 320 counties, dating from 1969 to 2016. Drawing on this data, the researchers used a statistical tool called path analysis to identify complex structural relationships.
"Basically, that means we can get a better sense of the relationships between a number of variables and observed outcomes, both direct and indirect," Galik says. "In this case, the outcome we were interested in is sustainability performance."
Their findings were straightforward: communities that suffered sudden and significant job losses in manufacturing were substantially less likely to have robust sustainability plans and capability, and less likely to be making significant process on sustainability goals.
"Particularly given the attention – and funding – at the federal level for infrastructure, clean energy technology manufacturing, and climate adaptation, our study emphasizes the need to consider community history, context, and conditions as programs are designed and rolled out," Galik says.
The paper, "Historical industrial transitions influence local sustainability planning, capability, and performance," is published in the journal Environmental Innovation and Societal Transitions.