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How e-commerce support economic growth amid COVID-19: evidence from Chinese economy

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Abstract

The study’s motivation develops from the need to comprehend how e-commerce affects economic resilience and recovery amid the COVID-19 crisis, particularly in the Chinese economy, and to provide empirical evidence to help stakeholders and policymakers understand how to use e-commerce for economic growth. This study aims to investigate how e-commerce supported economic expansion during the COVID-19 pandemic, particularly emphasizing the Chinese economy. Because of the rapid changes in consumer perceptions brought on by the COVID-19 epidemic, this study gives a thorough methodology for assessing the success of e-commerce businesses. The application’s twenty-five secondary standards include two sustainability elements, sustainable development, and carbon dioxide emissions. Three Indian e-commerce companies serve as a case study to illustrate the assessment methodology. To capture the uncertainty in the judicial process, the findings are achieved via multi-criteria judgment (MCDM) technique called fuzzy VIKOR. In addition, quantitative research is used to rate and compare e-commerce businesses in terms of how well it meets the needs of their customers. The results break down the most crucial criterion and sub-criteria for online retailers to meet to meet consumer aspirations and remain profitable and environmentally responsible in the long run.

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Data availability

The data that support the findings of this study are openly available on request.

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Funding

1. This work was supported by Major Humanities and Social Sciences Research Projects in Zhejiang higher education institutions, Grant Number:2023QN148.

2. This work was supported by Scientific Research and Innovation Team of Zhejiang Business Technology Institute, Grant Number:KYTD202203.

3.This work was supported by Basic Scientific Research Business Expenses of Zhejiang Business Technology Institute, Grant Number:TD2022-02.

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Authors and Affiliations

Authors

Contributions

Jianjun Sun: Conceptualization; methodology; writing, original draft; data curation; data analysis; visualization; editing; proof reading; corrections.

Corresponding author

Correspondence to Jianjun Sun.

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The author declares there were no human participants, human data or human issues.

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The author declares no competing interests.

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Responsible Editor: Arshian Sharif

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Cite this article

Sun, J. How e-commerce support economic growth amid COVID-19: evidence from Chinese economy. Environ Sci Pollut Res 30, 88842–88860 (2023). https://doi.org/10.1007/s11356-023-28628-0

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  • DOI: https://doi.org/10.1007/s11356-023-28628-0

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