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

Xianjin Tu, Victor Shi, Ming Zhang and Gangwu Lv
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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

Sustainability, 2021, vol. 13, issue 18, 1-16

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.

Keywords: online consumption; offline consumption; ordered probit model; semi-parametric estimation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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