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Factors affecting online shopping frequency: lessons from New Zealand

Author

Listed:
  • Wanglin Ma

    (Lincoln University)

  • Christopher Gan

    (Lincoln University)

  • Puneet Vatsa

    (Lincoln University)

  • Wei Yang

    (Lincoln University)

  • Hongyun Zheng

    (Huazhong Agricultural University)

Abstract

During the COVID-19 pandemic lockdown, the number of people shopping online has increased worldwide, and New Zealand is no exception. To date, little is known about the online shopping behaviours of New Zealanders in a pandemic environment. This paper provides the first attempt by exploring the factors affecting online shopping frequency in New Zealand, a country widely regarded as a paragon of excellence for containing the COVID-19 pandemic. A Poisson regression model is utilized to analyze data collected through an online survey between July and November 2020. The empirical results show that people's online shopping frequency is positively affected by payment convenience, competitive pricing, living in the city, and the number of children. The perceived effectiveness of the government's action in combating COVID-19, having poor past online shopping experiences, and being married reduce online shopping frequency.

Suggested Citation

  • Wanglin Ma & Christopher Gan & Puneet Vatsa & Wei Yang & Hongyun Zheng, 2022. "Factors affecting online shopping frequency: lessons from New Zealand," SN Business & Economics, Springer, vol. 2(6), pages 1-10, June.
    • Handle: RePEc:spr:snbeco:v:2:y:2022:i:6:d:10.1007_s43546-022-00214-5
    DOI: 10.1007/s43546-022-00214-5
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    References listed on IDEAS

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    1. Thomas Reardon & Ben Belton & Lenis Saweda O. Liverpool‐Tasie & Liang Lu & Chandra S. R. Nuthalapati & Oyinkan Tasie & David Zilberman, 2021. "E‐commerce's fast‐tracking diffusion and adaptation in developing countries," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1243-1259, December.
    2. Hung‐Hao Chang & Chad D. Meyerhoefer, 2021. "COVID‐19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 448-465, March.
    3. Xuwen Gao & Xinjie Shi & Hongdong Guo & Yehong Liu, 2020. "To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-14, August.
    4. Wanglin Ma & Xiaobing Wang, 2020. "Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1087-1112, October.
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    Cited by:

    1. Wanglin Ma & Puneet Vatsa & Hongyun Zheng & Yanzhi Guo, 2022. "Does online food shopping boost dietary diversity? Application of an endogenous switching model with a count outcome variable," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-19, December.

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    More about this item

    Keywords

    Online shopping; COVID-19; Poisson regression; New Zealand;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods

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