The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce
By Jingting Fan, Lixin Tang, Weiming Zhu, Benteng Zou. Journal of International Economics, 2018
178 citations recorded by the source corpus.
Domestic trade costs reduce aggregate welfare and result in worse access to consumption goods in small and remote cities. As a new trade technology, e-commerce can increase inter-city trade and alleviate spatial consumption inequality because it (1) eliminates the fixed cost of market entry, and (2) reduces the effects of distance on trade costs. Using unique data from China's leading e-commerce platform, we provide evidence consistent with these two features: online trade is less hindered by distance relative to offline trade, and residents from smaller and more remote cities spend a larger fraction of their income online. We then build a multi-region general equilibrium model to quantify the impacts of e-commerce on domestic trade and welfare. We find that although it partially crowds out inter-city trade originally taking place offline, the emergence of e-commerce increases the aggregate domestic trade. The welfare gains from e-commerce are 1.6% on average, and are about 30% larger for cities in the smallest population and market potential quintiles.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/4c14f79a1af8af71e6fd2c6be28613cef1763c7d
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Citations in the corpus
- Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform (2018, background): “…case of ride-sharing platforms (Lam and Liu (2017) and Liu et al. (2017)), short-term lodging platforms (Farronato and Fradkin (2018)), crowd-funding platforms (Catalini and Hui (2017)), and e-commerce platforms (Blum and Goldfarb (2006), Lendle et al. (2016), Fan et al. (2016), and Hui (2018)).”