Evidence map›Paper›PMID 36933127›Full record

ArticleEnvironmental science and pollution research international2023

Impact of COVID-19 on China's business and economic conditions: the importance of quantile asymmetries.

Assad Ullah, Xinshun Zhao, Aamir Aijaz Sayed, Azka Amin, Adeel Riaz

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Assad UllahSchool of Economics and Management, Hainan Normal University, Haikou, China. assad@henu.edu.cn.ORCID http://orcid.org/0000-0001-5365-0224
Xinshun ZhaoSchool of Economics, Henan University, Kaifeng, China.
Aamir Aijaz SayedInstitute of Management, Commerce & Economics, Shri Ram Swaroop Memorial University, Lucknow, India.
Azka AminSchool of Economics, Hainan University, Haikou, China.
Adeel RiazSchool of Business, Henan University, Kaifeng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China has remained a growth engine for the global economy for the last several years. In this study, we assess the impact of COVID-19 on China's business and economic conditions; employing the quantile-on-quantile (QQ) regression and the quantile causality approaches. These econometrics batteries suit our research postulation, as they are capable to delineate underlying asymmetries across the whole distribution, based on which we can infer whether the response of China's business and economic conditions towards COVID-19 is heterogenous or homogenous. Utilizing the novel business and economic conditions measures, we observed that COVID-19 had initially disrupted both business and economic conditions in China. However, they showcased recovery over time. Our in-depth analysis allowed us to infer that the effect of COVID-19 on China's business and economic conditions is heterogeneous across different quantiles, and there is reliable evidence of asymmetry. The outcomes of quantile causality in mean and variance corroborate our primary estimations. These findings educate policymakers, companies, and other stakeholders to understand the nuances of China's business and economic conditions vis-a-vis COVID-19 in the short-run and as time elapsed.

Indexed as

COVID-19ChinaEconomic DevelopmentEmploymentHumansBusiness conditionChinaCOVID-19Economic conditionQuantile causalityQuantile-on-Quantile regression

Identifiers

PMID36933127
PMCPMC10024002

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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.