Does National AI Research Capacity Track Material Consumption?

Published: 7 October 2026| Version 1 | DOI: 10.17632/wcmsdpr3bk.1
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Description

This replication package contains the data and code for the paper “Does National AI Research Capacity Track Material Consumption?” by Asif Ali (North China University of Water Resources and Electric Power), Version 1.0. It includes a one-click Stata do-file that reproduces all estimates in Tables 2–8 and the statistics reported in the text, the final country–year panel in Excel and CSV formats, a codebook for all 93 variables, and a Python script that reproduces Figures 2–4. The panel covers 135 countries from 2000 to 2022 and combines AI publication data from OECD.AI with material-flow data from the UN SDG Indicators Database and the UNEP International Resource Panel, plus World Bank development indicators. Stata 16 or later is required; Python 3.9+ is optional for figures. The package is shared under CC BY 4.0, and users should cite the original data sources and the replication package. Contact: Asif Ali, asifalilakho33@yahoo.com.

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Artificial Intelligence, Sustainable Development, Environment Protection

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