Item

The impact of online shopping on food stockpiling behaviour in China

Xia, L
Ma, Wanglin
Wang, D
Li, J
Date
2023-10-12
Type
Journal Article
Fields of Research
ANZSRC::380199 Applied economics not elsewhere classified , ANZSRC::350203 Financial econometrics , ANZSRC::350602 Consumer-oriented product or service development , ANZSRC::3801 Applied economics , ANZSRC::3802 Econometrics
Abstract
Food stockpiling is a common strategy to cope with food shortages, especially during major crises such as the COVID-19 pandemic. This paper investigates the effects of online shopping on household food stockpiling behaviour, using data collected from urban residents in China. Unlike previous studies considering only binary decisions, we take into account two-stage decisions (whether to stockpile and how much to stockpile). We employ a novel double-hurdle two-stage least square approach to model the sequential decision-making process and to address the endogeneity issue of online shopping. The empirical results show that online shopping significantly increases the probability that households choose to stockpile food and stockpiling ratio. Online shoppers in Eastern China are more likely to stockpile food, while their counterparts in the Western region tend to have a higher food stockpiling ratio. Online shopping significantly increases stockpiling ratio of perishable food such as fruits and vegetables relative to non-perishable food such as grains.
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