Evidence map›Paper›PMID 36248772›Full record

ArticleGlobal food security2022

How online food delivery platforms contributed to the resilience of the urban food system in China during the COVID-19 pandemic.

Xiaobing Wang, Fangxiao Zhao, Xu Tian, Shi Min, Stephan von Cramon-Taubadel, Jikun Huang, Shenggen Fan

Open access · greenAbstract read
In one paragraph

Article in Global food security, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
7.9field-weighted citation impact, top 3% of its field
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

5 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Food Delivery Apps and Their Potential to Address Food Insecurity in Older Adults: A Review.International journal of environmental research and public health · 2024
    Review
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

7 authors at 4 institutions in 2 countries.

Xiaobing WangChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Yiheyuan Road 5, Haidian District, Beijing, 100871, China.
Fangxiao ZhaoChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Yiheyuan Road 5, Haidian District, Beijing, 100871, China.
Xu TianAcademy of Global Food Economics and Policy, College of Economics and Management, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing, 100083, China.
Shi MinCollege of Economics and Management, Huazhong Agricultural University, Shizishan Street 1, Hongshan District, Wuhan, 430070, Hubei, China.
Stephan von Cramon-TaubadelDepartment of Agricultural Economics and Rural Development, University of Göttingen, Platz der Göttinger Sieben 5, Göttingen, 37073, Germany.
Jikun HuangChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Yiheyuan Road 5, Haidian District, Beijing, 100871, China.
Shenggen FanAcademy of Global Food Economics and Policy, College of Economics and Management, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing, 100083, China.
Peking University · CNChina Agricultural University · CNHuazhong Agricultural University · CNUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We use high-frequency data to quantify the nature and performance of online food delivery platforms during the COVID-19 pandemic in urban China, and to estimate the short- and long-term effects of lockdown and reopening measures. A staggered difference-in-differences (DID) estimation strategy and event study approach are used to identify the effects of lockdown and reopening measures on the performance of online food delivery platforms and restaurants. The results indicate that some restaurants continued to operate and offer online food delivery while lockdowns were in effect. Both the number of operating restaurants and their online food delivery services rebounded and experienced further growth after lockdowns were lifted. The adjustment path of the online food delivery business following the implementation of lockdowns differed from the adjustment path following the lifting of lockdowns. The lockdown and reopening measures did not affect all types of restaurant/cuisine equally. We also examine possible impact mechanisms of lockdown measures on online food delivery and restaurants, and conduct robustness checks to confirm the stability of the main findings. This study contributes to the existing literature by confirming the positive contribution of online food delivery to the resilience of urban food systems in response to unexpected external shocks. Our results have implications for the design of policies to guarantee food supply and help urban food systems adapt to unexpected shocks.

Indexed as

COVID-19LockdownOnline food deliveryReopening

Identifiers

PMID36248772
PMCPMC9554343
OpenAlexW4304808933

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.