Submitted:
15 October 2026
Posted:
16 October 2026
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Abstract
A large literature, mostly on Chinese provinces and cities, reports that digitalisation reduces carbon emissions. Most of this evidence relies on composite digital-economy indices and on emission figures that are estimated or spatially allocated rather than observed. This study tests the claim with directly measured quantities: tropospheric nitrogen dioxide (NO2) columns from the TROPOMI satellite instrument and crowdsourced Ookla measurements of network speed and latency, for 161 districts of Uzbekistan in 2019–2025 and 42 regions of Central Asia. District-level changes in gridded EDGAR CO2 emissions for road transport and buildings closely reproduce national changes, which makes such inventories unsuitable as sub-national outcomes. Panel regressions with district and year fixed effects, a correction for the July 2021 change in the TROPOMI processor, and population controls give an elasticity of NO2 with respect to mobile download speed of 0.001 (95% confidence interval −0.013 to 0.015). The average district's speed rose about 7.4-fold over the period, so the associated change in NO2 is bounded between −2.6% and +3.0%. No alternative specification or regional estimate is statistically significant, and none of three pre-specified heterogeneity hypotheses survives a Holm correction. Within districts, faster mobile networks were not associated with a measurable change in NO2.
Keywords:
digital infrastructure
; air pollution
; nitrogen dioxide
; TROPOMI
; mobile broadband
; emission inventories
; remote sensing
; Uzbekistan
; Central Asia
; pre-analysis plan
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.