Evidence map›Paper›PMID 35082145›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Encouraging the resumption of economic activity after COVID-19: Evidence from a large scale-field experiment in China.

Juan Palacios, Yichun Fan, Erez Yoeli, Jianghao Wang, Yuchen Chai, Weizeng Sun, David G Rand, Siqi Zheng

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  6. Encouraging the resumption of economic activity after COVID-19: Evidence from a large scale-field experiment in China.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Juan PalaciosSustainable Urbanization Lab, Center for Real Estate, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-4234-5114
Yichun FanSustainable Urbanization Lab, Center for Real Estate, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0001-8400-3863
Erez YoeliSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142.ORCID 0000-0002-8459-017X
Jianghao WangSustainable Urbanization Lab, Center for Real Estate, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0001-5333-3827
Yuchen ChaiSustainable Urbanization Lab, Center for Real Estate, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139.
Weizeng SunSchool of Economics, Central University of Finance and Economics, 100081 Beijing, China.ORCID 0000-0001-8343-6093
David G RandSloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02142.
Siqi ZhengSustainable Urbanization Lab, Center for Real Estate, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139; sqzheng@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 pandemic comes to an end, governments find themselves facing a new challenge: motivating citizens to resume economic activity. What is an effective way to do so? We investigate this question using a field experiment in the city of Zhengzhou, China, immediately following the end of the city's COVID-19 lockdown. We assessed the effect of a descriptive norms intervention providing information about the proportion of participants' neighbors who have resumed economic activity. We find that informing individuals about their neighbors' plans to visit restaurants increases the fraction of participants visiting restaurants by 12 percentage points (37%), among those participants who underestimated the proportion of neighbors who resumed economic activity. Those who overestimated did not respond by reducing restaurant attendance (the intervention yielded no "boomerang" effect); thus, our descriptive norms intervention yielded a net positive effect. We explore the moderating role of risk preferences and the effect of the intervention on subjects' perceived risk of going to restaurants, as well as the contrast with an intervention for parks, which were already perceived as safe. All of these analyses suggest our intervention worked by reducing the perceived risk of going to restaurants.

Indexed as

ChinaCOVID-19HumansMotivationParks, RecreationalPerceptionRestaurantsSARS-CoV-2Social NormsCOVID-19descriptive normsfield experimentpolicyvoluntary economic resumption

Identifiers

PMID35082145
PMCPMC8812684

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.