Estimating Digital Product Trade through Corporate Revenue Data

Fuente: arXiv
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Autores principales: Stojkoski, Viktor, Koch, Philipp, Coll, Eva, Hidalgo, Cesar A.
Formato: Preprint
Publicado: 2023
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author Stojkoski, Viktor
Koch, Philipp
Coll, Eva
Hidalgo, Cesar A.
author_facet Stojkoski, Viktor
Koch, Philipp
Coll, Eva
Hidalgo, Cesar A.
contents Despite global efforts to harmonize international trade statistics, our understanding of digital trade and its implications remains limited. Here, we introduce a method to estimate bilateral exports and imports for dozens of sectors starting from the corporate revenue data of large digital firms. This method allows us to provide estimates for digitally ordered and delivered trade involving digital goods (e.g. video games), productized services (e.g. digital advertising), and digital intermediation fees (e.g. hotel rental), which together we call digital products. We use these estimates to study five key aspects of digital trade. We find that, compared to trade in physical goods, digital product exports are more spatially concentrated, have been growing faster, and can offset trade balance estimates, like the United States trade deficit on physical goods. We also find that countries that have decoupled economic growth from greenhouse gas emissions tend to have larger digital exports and that digital products exports contribute positively to the complexity of economies. This method, dataset, and findings provide a new lens to understand the impact of international trade in digital products.
format Preprint
id arxiv_https___arxiv_org_abs_2310_02253
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Estimating Digital Product Trade through Corporate Revenue Data
Stojkoski, Viktor
Koch, Philipp
Coll, Eva
Hidalgo, Cesar A.
General Economics
Economics
Despite global efforts to harmonize international trade statistics, our understanding of digital trade and its implications remains limited. Here, we introduce a method to estimate bilateral exports and imports for dozens of sectors starting from the corporate revenue data of large digital firms. This method allows us to provide estimates for digitally ordered and delivered trade involving digital goods (e.g. video games), productized services (e.g. digital advertising), and digital intermediation fees (e.g. hotel rental), which together we call digital products. We use these estimates to study five key aspects of digital trade. We find that, compared to trade in physical goods, digital product exports are more spatially concentrated, have been growing faster, and can offset trade balance estimates, like the United States trade deficit on physical goods. We also find that countries that have decoupled economic growth from greenhouse gas emissions tend to have larger digital exports and that digital products exports contribute positively to the complexity of economies. This method, dataset, and findings provide a new lens to understand the impact of international trade in digital products.
title Estimating Digital Product Trade through Corporate Revenue Data
topic General Economics
Economics
url https://arxiv.org/abs/2310.02253