A nudge to resume economic activity

But even at times during the pandemic when cases have been falling, there is often uncertainty about which activities are most ready for resumption. To some extent, people may form judgments about this based on social cues. If a lot of your neighbors start going to restaurants again, does it make you more likely to avoid restaurants, knowing they might be more crowded? Or might it signal that dining out is becoming safer?

A field experiment of citizens in the city of Zhengzhou, China, conducted by an MIT research team in the spring of 2020, shows that people tend to have the latter reaction. When study respondents were informed that their neighbors were going out to restaurants, the proportion of participants also doing so increased by 12 percentage points, or 37 percent. The primary factor inducing this change appears to be evolving risk preferences: Perhaps paradoxically, people considered the activity to be safer knowing their neighbors were partaking in it.

Given improving conditions, knowing what other people in a social network are doing could thus be a useful signal. At any rate, the study suggests that many people do have the tendency to increase activity, not decrease it, when informed that others are themselves increasing activity.

"When we implemented our experiment, [Zhengzhou] had zero Covid cases," says MIT Professor Siqi Zheng, part of the research team and co-author a new paper detailing the study's results. "The city government had loosened the lockdown measures and dining out services were allowed to reopen. However, most people were reluctant to resume economic activities, perhaps because they were not sure whether it was really safe or not."

Zheng adds, "We felt that in [some] uncertain times, such information might be particularly valuable: If others think it's safe to go out, then maybe I should feel safe. To be sure, we were also prepared for the opposite reaction, that people would hunker down and try to avoid crowds."

Instead, "The intervention motivated individuals to resume patronizing restaurants," says Juan Palacios, a postdoc at the Center for Real Estate and the Sustainable Urbanization Lab (SUL), and another co-author of the paper. "When individuals learned that their neighbors were planning to go out, they followed suit."

As such, the researchers regard the experiment as a possible low-cost intervention governments could pursue, to help ramp up consumer activity when merited by improving conditions during the pandemic.

The paper, "Encouraging the resumption of economic activity after COVID-19: Evidence from a large scale filed experiment in China," was published online today in Proceedings of the National Academy of Sciences.

The paper's authors are Yuchen Chai, a researcher at SUL; Yichun Fan, a PhD candidate in MIT's Department of Urban Studies and Planning (DUSP) and researcher at SUL; Palacios; David Rand, the Erwin H. Schell Professor and Professor of Management Science and Brain and Cognitive Sciences at MIT; Weizeng Sun of the Central University of Finance and Economics, in Beijing; Jianghao Wang, an associate professor at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, in Beijing; Erez Yoeli, a research scientist at the MIT Sloan School of Management; and Zheng, who is the Samuel Tak Lee Champion Professor of Urban and Real Estate Sustainability at MIT and faculty director of the MIT Center for Real Estate and SUL.

To conduct the study, the researchers worked with 622 participants from Zhengzhou for several weeks in the spring of 2020, soon after China's initial Covid-19 lockdown was lifted. All participants were asked to state their belief, on a weekly basis, about the percentage of their neighbors who were planning to go to restaurants that weekend. They also downloaded an app, designed for the study, that tracked their whereabouts using GPS data.

One half of the group received an additional piece of information: The actual percentage of their neighbors who were planning to dine out on any given weekend, the kind of fact social scientists call a "descriptive norm." This percentage was derived from a separate survey conducted in the same location.

By comparing the weekend activities of the two groups, the researchers found people in the group that learned the real percentage of neighbors dining out would, in turn, go to restaurants considerably more often.

"We use a descriptive norm experimental design, a well-established method in psychology," Rand says. "Given that the nudge is relatively simple to implement and practically free, we think it might come in handy for others trying to promote reopening."

In another facet of the study, the researchers were also able to determine that the decision-making of participants was heavily based around risk perceptions. The scholars conducted the same experiment to see if participants would also be more willing to go to public parks -- but found the intervention made virtually no difference in behavior, in that case, because people already regarded public park visits as a safe activity.

Other scholars say the findings are a useful contribution to the growing literature on public behavior and risk perception during the shifting cycles of the Covid-19 pandemic.

As the researchers acknowledge in the paper, the study was "run in just one setting at a very particular moment in time," so caution "needs to be taken when generalizing our results to other cultures and time periods." It is also possible that the varying availability of vaccines, which first reached the public several months after the spring of 2020, may alter risk perceptions as well.

"We do recognize that it won't always work as well as it did for us," Yoeli says. "It's probably best to try it in settings where people are really unsure about the safe course of action." Still, he adds, "The simplicity and generic aspect of this intervention allows policymakers to use our design and implement it in their communities, across the world."

The research received support from the MIT China Future City Zhengzhou City Living Lab Program.