Blocking the Giants: Theory and Evidence from the Great Firewall
Dr. Sun Ruiqi
Bans on digital products from foreign tech giants have become a policy staple. Yet the welfare implications of these bans are unknown. Policy-targeted products are typically large and highly differentiated, leading to rich substitution patterns that are essential for welfare analysis. I empirically reveal these substitution patterns through an event study of India’s ban on Chinese
apps: pairwise elasticities of substitution are correlated with pairwise similarities between product descriptions. Motivated by this finding, I develop a general equilibrium model in which granular products with heterogeneous productivities and hedonic attributes engage in Bertrand oligopolistic competition. This model is purpose-built to feature the pairwise elasticities of
substitution, which map to the product similarities constructed from a series of large language model tasks. I use the estimated model to evaluate the impact of China’s Great Firewall (GFW) policy. I find that while the GFW increased Chinese real incomes, the loss in leisure utility from using inferior apps overwhelms the benefits, resulting in a net welfare loss of 7.5%. This framework is easily implemented and widely applicable to research questions where pairwise substitutions are essential and rich text is available.