Estimating India's Digital Carbon Footprint: A Preliminary Assessment of Data Centres, Mobile Data Use and Climate Policy
インドのデジタルカーボンフットプリントの推定：データセンター、モバイルデータ利用、気候政策の予備的評価 (AI 翻訳)
Vedika Shrivastava
🤖 gxceed AI 要約
日本語
本研究は、インドのデジタルインフラ（データセンター、モバイルデータ伝送、AI推論）の運用炭素排出量を推定。平均排出係数で約15～17 MtCO2、限界排出係数で20～23 MtCO2と試算。系統的な報告と再生可能エネルギー利用の必要性を強調。
English
This study provides preliminary estimates of the operational carbon footprint of India's digital infrastructure, including data centers, mobile data transmission, and AI inference. Annual emissions are estimated at 15-17 MtCO2 (average grid) and 20-23 MtCO2 (operating margin). The authors call for systematic reporting and increased renewable energy use.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
インドのデジタルカーボンフットプリント推計は、日本の気候関連開示やSSBJにおいても、サプライチェーン排出（Scope3）の一部としてデジタルサービスの排出把握が求められる中で参考になる。
In the global GX context
This paper provides a methodology for estimating the carbon footprint of digital infrastructure, relevant to global disclosure frameworks (e.g., ISSB, CDP) as companies report Scope 2 and Scope 3 emissions from data centers and mobile networks.
👥 読者別の含意
🔬研究者:Provides a transparent methodology for estimating digital carbon footprints that can be adapted to other emerging economies.
🏢実務担当者:Useful for technology companies and data center operators to benchmark their emissions and identify efficiency improvements.
🏛政策担当者:Highlights the need for mandatory reporting standards for digital infrastructure emissions and renewable energy mandates.
📄 Abstract（原文）
This study presents a preliminary estimate of the operational carbon footprint associated with India's digital infrastructure, focusing on commercial data centres, mobile data transmission, and an illustrative artificial intelligence inference scenario. Publicly available data from government agencies and industry reports were combined with transparent assumptions to estimate electricity consumption and associated carbon emissions. Operational data centres are estimated to emit approximately 8.3 MtCO2 annually using the average grid emission factor, while mobile data transmission contributes a comparable amount. Under the operating margin emission factor, the corresponding estimates increase to approximately 11 MtCO2 each. The AI inference scenario contributes only a small share of total emissions but highlights an emerging reporting category. Overall, India's operational digital carbon footprint is estimated at approximately 15 to 17 MtCO2 annually under average emission factors and 20 to 23 MtCO2 under operating margin factors. The findings highlight the need for systematic reporting, stronger energy efficiency measures, and increased renewable electricity use within India's rapidly expanding digital infrastructure.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.21275/sr26620114353first seen 2026-07-23 05:26:50
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