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The Impact of Residents’ Online Consumption on Offline Consumption—An Ordered Probit Semi-Parametric Estimation Method

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  • Xianjin Tu

    (School of Economics and Management, Chongqing Normal University, Chongqing 400047, China)

  • Victor Shi

    (Lazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada)

  • Ming Zhang

    (School of State Governance, Southwest University, Chongqing 400715, China)

  • Gangwu Lv

    (College of Resources and Environment, Southwest University, Chongqing 400715, China)

Abstract

Online consumption not only is an economic phenomenon, but also has a profound impact on offline consumption. Under this context, this article analyzes the mechanism of how they influence offline consumption and puts forward research hypotheses. China Household Financial Survey (CHFS) data and a semi-parametric ordered probit estimation method are used empirical tests. The results indicate that consumers with online consumption experience are very likely to consume again. The scale of online consumption not only drives the increase of overall consumption, but also promotes the growth of offline consumption via capital effect, complementarity effect, and psychologic effect. In general, online consumption and offline consumption have achieved integrated development.

Suggested Citation

  • Xianjin Tu & Victor Shi & Ming Zhang & Gangwu Lv, 2021. "The Impact of Residents’ Online Consumption on Offline Consumption—An Ordered Probit Semi-Parametric Estimation Method," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10047-:d:631215
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    1. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
    2. Patricia L. Mokhtarian, 2002. "Telecommunications and Travel: The Case for Complementarity," Journal of Industrial Ecology, Yale University, vol. 6(2), pages 43-57, April.
    3. Lee, Richard J. & Sener, Ipek N. & Mokhtarian, Patricia L. & Handy, Susan L., 2017. "Relationships between the online and in-store shopping frequency of Davis, California residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 40-52.
    4. Mark B. Stewart, 2004. "Semi-nonparametric estimation of extended ordered probit models," Stata Journal, StataCorp LP, vol. 4(1), pages 27-39, March.
    5. Broekhuizen, Thijs L.J. & Jager, Wander, 2004. "A conceptual model of channel choice: measuring online and offline shopping value perceptions," Research Report 04F04, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Quentin André & Ziv Carmon & Klaus Wertenbroch & Alia Crum & Douglas Frank & William Goldstein & Joel Huber & Leaf Boven & Bernd Weber & Haiyang Yang, 2018. "Consumer Choice and Autonomy in the Age of Artificial Intelligence and Big Data," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 28-37, March.
    7. Ipek N Sener & Phillip R Reeder, 2012. "An Examination of Behavioral Linkages across ICT Choice Dimensions: Copula Modeling of Telecommuting and Teleshopping Choice Behavior," Environment and Planning A, , vol. 44(6), pages 1459-1478, June.
    8. repec:dgr:rugsom:04f04 is not listed on IDEAS
    9. David Bounie & Youssouf Camara & John Galbraith, 2020. "Consumers’ Mobility, Expenditure and Online-Offline Substitution Response to COVID-19: Evidence from French Transaction Data," Cahiers de recherche 14-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    10. Hirschman, Elizabeth C, 1980. "Innovativeness, Novelty Seeking, and Consumer Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 283-295, December.
    11. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.
    12. Wu, Lei-Yu & Chen, Kuan-Yang & Chen, Po-Yuan & Cheng, Shu-Ling, 2014. "Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective," Journal of Business Research, Elsevier, vol. 67(1), pages 2768-2776.
    13. Jesse W.J. Weltevreden & Ton Van Rietbergen, 2007. "E‐Shopping Versus City Centre Shopping: The Role Of Perceived City Centre Attractiveness," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 98(1), pages 68-85, February.
    14. Aguiléra, Anne & Guillot, Caroline & Rallet, Alain, 2012. "Mobile ICTs and physical mobility: Review and research agenda," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 664-672.
    15. Babin, Barry J. & Darden, William R., 1996. "Good and bad shopping vibes: Spending and patronage satisfaction," Journal of Business Research, Elsevier, vol. 35(3), pages 201-206, March.
    16. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    17. Chia‐Lin Hsu & Kuo‐Chien Chang & Mu‐Chen Chen, 2012. "Flow Experience and Internet Shopping Behavior: Investigating the Moderating Effect of Consumer Characteristics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(3), pages 317-332, May.
    18. Belk, Russell W, 1975. "Situational Variables and Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 157-164, December.
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