skip to main content
10.1145/3503181.3503207acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiccseConference Proceedingsconference-collections
research-article

The Boosting Effect of Online Retailing on Household Consumption During Covid-19

Authors Info & Claims
Published:01 March 2022Publication History

ABSTRACT

The outbreak of Covid-19 has posed severe negative impact on household consumption. This paper investigates the boosting effect of online retailing on household consumption during the epidemic period. Based on the data of Anhui Province in China, this paper show that during the epidemic period, every 1% increase in the growth rate of online retail sales could increase the proportion of total retail sales of consumer goods above the quota in GDP by 4.27%. Therefore, we provide reliable empirical evidence of promoting consumer consumption through the development of online retail under the normalization of the epidemic situation.

References

  1. Atul Adya, Paramvir Bahl, Jitendra Padhye, Alec Wolman, and Lidong Zhou. 2004. A multi-radio unification protocol for IEEE 802.11 wireless Fang F Q, W Xing. A Study on U-shaped Relationship between Household Consumption and E-commerce Market Size [J]. Finance and Trade Economics, 2015(11):131-147.Google ScholarGoogle Scholar
  2. Wang X. The Effect and Mechanism of "internet plus" Promoting China's Consumption Upgrading [J]. Journal of Finance, 2016 (12): 94-102.Google ScholarGoogle Scholar
  3. Wang J Y, F Guo, Y G Li. 2020: "Quantitative estimation of the short-term impact of the COVID-19 epidemic on offline micro-merchants-with a discussion on the value of digital finance in mitigating the impact", Working paper, Center for Digital Finance Research, Peking University.Google ScholarGoogle Scholar
  4. Lin Y F, Y Shen, A Sun. Economic Effects of China's Government's Consumption Voucher Policy [J]. Economic Research, 2020,55(07):4-20.Google ScholarGoogle Scholar
  5. Zhu F, Liu Q. Competing with complementors: An empirical look at Amazon. com[J]. Strategic management journal, 2018, 39(10): 2618-2642.Google ScholarGoogle Scholar
  6. Alexander D, Karger E. Do stay-at-home orders cause people to stay at home? Effects of stay-at-home orders on consumer behavior[J]. 2020.Google ScholarGoogle ScholarCross RefCross Ref
  7. Baker S R, Farrokhnia R A, Meyer S, Income, liquidity, and the consumption response to the 2020 economic stimulus payments[R]. National Bureau of Economic Research, 2020a.Google ScholarGoogle ScholarCross RefCross Ref
  8. Baker S R, Farrokhnia R A, Meyer S, How Does Household Spending Respond to an Epidemic? Consumption During the 2020 COVID-19 Pandemic[R]. National Bureau of Economic Research, 2020b.Google ScholarGoogle ScholarCross RefCross Ref
  9. Chen H, Qian W, Wen Q. The impact of the COVID-19 pandemic on consumption: Learning from high frequency transaction data[J]. Available at SSRN 3568574, 2020.Google ScholarGoogle Scholar
  10. Goldmanis M, Hortaçsu A, Syverson C, E‐commerce and the Market Structure of Retail Industries[J]. The Economic Journal, 2010, 120(545): 651-682.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. The Boosting Effect of Online Retailing on Household Consumption During Covid-19
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICCSE '21: 5th International Conference on Crowd Science and Engineering
      October 2021
      182 pages
      ISBN:9781450395540
      DOI:10.1145/3503181

      Copyright © 2021 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 1 March 2022

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate92of247submissions,37%
    • Article Metrics

      • Downloads (Last 12 months)6
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format