India's Net Zero 2070 Trajectory: A Geospatial Analysis A Multisectoral and Spatial Policy Assessment
インドのネットゼロ2070軌道: 地理空間分析と多部門・空間的政策評価 (AI 翻訳)
T. Kumaran, G. Poyyamoli, S. Thirunavukkarasu
🤖 gxceed AI 要約
日本語
本論文は、インドの2070年ネットゼロ目標の実現可能性を、地理空間的に差別化された公正移行モデル（GDJTM）と地理空間拡張されたKaya恒等式を用いて多部門・空間的に評価する。エネルギー、産業、運輸、土地利用セクターにおける排出削減弾性の変動と、資源賦存や制度能力の地域的不均等を分析し、中央・東部の石炭依存地域と西部・南部の再生可能エネルギー回廊のミスマッチを指摘。ネットゼロ達成には、技術展開、財政調整、社会的保護を空間的に調整した地域別移行コンパクトが不可欠と結論付ける。
English
This paper assesses the feasibility of India's Net Zero 2070 target using a Geospatially Differentiated Just Transition Model (GDJTM) and a spatially extended Kaya Identity. It analyzes how mitigation elasticities vary across energy, industry, transport, and land-use sectors, highlighting mismatches between coal-dependent regions in central/eastern India and renewable corridors in the west/south. The study argues that region-specific transition compacts integrating technology, fiscal realignment, and social protection are essential for compressing the mitigation window between 2040 and 2070.
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
インドのネットゼロ経路は、日本企業のサプライチェーンや国際的な気候政策にも影響する。日本にとっては、空間的に公正な移行を考慮した政策設計の重要性や、地理空間分析手法の活用可能性を示唆する点で参考になる。
In the global GX context
This paper contributes to global GX discourse by providing a spatially explicit, justice-centered framework for assessing net-zero feasibility in a large developing economy. Its geospatial methodology and region-specific transition compacts offer insights for countries facing similar coal-dependent vs. renewable-rich regional disparities, relevant for ISSB and transition finance discussions.
👥 読者別の含意
🔬研究者:The GDJTM and spatially extended Kaya Identity provide a novel methodological framework for integrating spatial justice into decarbonization pathway modeling.
🏢実務担当者:Corporate sustainability teams can use the regional transition compact concept to inform location-specific decarbonization strategies in India and other emerging markets.
🏛政策担当者:The paper underscores the need for spatially targeted climate finance and just transition policies, offering a template for NDC design that balances emissions reduction with regional equity.
📄 Abstract（原文）
India's Net Zero 2070 Trajectory: A Geospatial Analysis undertakes a multisectoral and spatially differentiated assessment of the feasibility of India's long-term decarbonization commitment. Framed through a refined Geospatially Differentiated Just Transition Model (GDJTM) and a geospatially extended Kaya Identity, the paper interrogates how mitigation elasticity varies across energy, industry, transport, and land-use systems, and how these sectoral pathways intersect with regional disparities in resource endowments, institutional capacity, and just transition needs. Drawing on recent evidence for baseline emissions growth, peak-year sensitivity under alternative NDC intensification scenarios, and the spatial distribution of emission hotspots, the analysis highlights a pronounced mismatch between coaldependent production zones in Central and Eastern India and high-renewable transition corridors in the West and South. Particular attention is given to financing architecture, costof-capital differentials, macroeconomic multipliers, and the political economy of coal phasedown. The study argues that Net Zero feasibility hinges on region-specific transition compacts that sequence technological deployment, fiscal realignment, and social protection in a spatially targeted and globally competitive manner. It concludes that a geospatially explicit, justicecentred planning architecture—combining advanced earth observation, integrated assessment modelling, and spatially differentiated climate finance—is indispensable if India is to compress its mitigation window between 2040 and 2070 without compromising developmental imperatives.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.53422/jdms/2026.132803first seen 2026-05-27 04:57:46
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