Evidence map›Paper›PMID 35309208›Full record

ArticleFrontiers in public health2022

Has COVID-19 Changed China's Digital Trade?-Implications for Health Economics.

Feng Hu, Liping Qiu, Xun Xi, Haiyan Zhou, Tianyu Hu, Ning Su, Haitao Zhou, Xiaolei Li, Shaobo Yang, Zhigang Duan and 6 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  11. Assessing financial performance through green bond markets and energy reliance in Asian economies.Environmental science and pollution research international · 2023
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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

16 authors.

Feng HuGlobal Value Chain Research Center, Zhejiang Gongshang University, Hangzhou, China.
Liping QiuGlobal Value Chain Research Center, Zhejiang Gongshang University, Hangzhou, China.
Xun XiSchool of Management, Shandong Technology and Business University, Yantai, China.
Haiyan ZhouInstitute of Spatial Planning and Design, Zhejiang University City College, Hangzhou, China.
Tianyu HuSchool of Information Engineering, Zhengzhou University, Zhengzhou, China.
Ning SuSchool of MBA, Zhejiang Gongshang University, Hangzhou, China.
Haitao ZhouSchool of MBA, Zhejiang Gongshang University, Hangzhou, China.
Xiaolei LiChina State Construction International Investments (Zhejiang Province) Ltd., Hangzhou, China.
Shaobo YangResearch Centre, Shanghai Yice Think Tank, Shanghai, China.
Zhigang DuanJinhua JG Tools Manufacturing Co., Ltd., Jinhua, China.
Zenan DongSales Department, Estone SRL, Carrara, Italy.
Zongjian WuResearch Centre, Shanghai Yice Think Tank, Shanghai, China.
Haibo ZhouResearch Centre, Shanghai Yice Think Tank, Shanghai, China.
Ming ZengResearch Centre, Shanghai Yice Think Tank, Shanghai, China.
Ting WanResearch Centre, Shanghai Yice Think Tank, Shanghai, China.
Shaobin WeiInstitute of Spatial Planning and Design, Zhejiang University City College, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technologies have played a significant role in the defense against the COVID-19 pandemic. This development raises the question of whether digital technologies have helped Chinese exports recover quickly and even grow. To answer this question, we study monthly data on Chinese exports to 40 countries/regions from January 2019 to June 2020 and covering 97 product categories. The study takes the COVID-19 outbreak as a natural experiment and treats digital trade products as the treatment group. Using a generalized difference-in-differences (DID) approach, we empirically investigate how this major global public health crisis and digital trade have influenced Chinese exports. Our empirical analysis reveals that the COVID-19 pandemic has inhibited China's export trade overall, digital trade has significantly promoted trade, and the supply mechanism has played a significant role in promoting the recovery of exports. Heterogeneity tests on destination countries/regions reveal that digital trade has significantly promoted exports to countries/regions with different income levels, with a more significant effect on low-risk destinations than on high-risk destinations. The sector heterogeneity test demonstrates that digital trade has enhanced the export recovery of sectors dealing in necessities for pandemic prevention. Other robustness tests, including parallel trend and placebo tests, support the above conclusions. Finally, we extend the research conclusions and discuss their implication for health economics and the practice of fighting COVID-19.

Indexed as

COVID-19ChinaCommerceHumansPandemicsPublic HealthChinese exportsCOVID-19digital tradegeneralized difference-in-differencesnatural experiments

Identifiers

PMID35309208
PMCPMC8924300

What OpenQuestion holds

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LicenceCC BY
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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.