Javier Lopez-Gonzalez
jlopezgonzalez.bsky.social
Javier Lopez-Gonzalez
@jlopezgonzalez.bsky.social
Senior Economist at the OECD leading the work on digital trade. Views are my own
Overall, the analysis shows that data policies matter for our globalised economy. It underscores the dangers of unnecessarily restrictive policies and suggests that balanced and global approaches to data regulation work best.
February 11, 2025 at 11:41 AM
6. At the extreme, a requirement that all
data be stored domestically is equivalent to a prohibition to transfer data.
February 11, 2025 at 11:41 AM
5. Local storage requirements, when not combined with cross-border data flow restrictions, tend to have a lower impact. Indeed, the removal of these would lead to an increase in global GDP of 0.18%. More restrictive forms of data localisation lead to greater negative impacts.
February 11, 2025 at 11:41 AM
4. The economic costs of geoeconomic fragmentation of data flow regimes are potentially sizeable (more than 1% real global GDP loss), but much smaller than those associated with full fragmentation reflecting an already fragmented regulatory landscape.
February 11, 2025 at 11:41 AM
3. Open regimes that include safeguards balance the trade costs associated with data regulation with the trust benefits of data safeguards.

Indeed, if such approaches were adopted by all economies, global GDP would grow by 1.77%.
February 11, 2025 at 11:41 AM
2. The absence of data flow regulation is also associated with negative economic outcomes.

Indeed, if all economies removed their data flow regulation trade costs would fall, but so too would trust. Overall, global GDP would fall by nearly 1%
February 11, 2025 at 11:41 AM
The results show that:

1. Cross-border data flows are a key element of the global economy.

Data autarky, or what might otherwise be considered as ‘full fragmentation, where all economies fully restrict their data flows, would lead to global GDP losses of 4.5% and reductions in exports of 8.5%.
February 11, 2025 at 11:41 AM
This report aims to identify the potential economic implications and opportunity costs associated with different data flow and data localisation regulations.

What is novel about it is that it looks at the trade cost and trust benefits associated with the regulation.
February 11, 2025 at 11:41 AM
The implications of these measures are not well understood, especially where it relates to finding a balance between enabling flows while also ensuring that data receives the desired safeguards when transferred abroad, a concept that has also been referred to as data free flows with trust (#DFFT).
February 11, 2025 at 11:41 AM
#Dataflows are the lifeblood of our modern social and economic interactions. However, concerns related to #privacy, #nationalsecurity and #regulatoryreach, among others, have led to growing regulation conditioning (or prohibiting) its flow or mandating that data be stored or processed domestically.
February 11, 2025 at 11:41 AM