A Game Theory Approach for India to Reach Carbon Neutrality

インドがカーボンニュートラルを達成するためのゲーム理論アプローチ (AI 翻訳)

Akanksha Singh, S. Kumari, Shiv Lal, Magdalena Radulescu

International Journal of Energy Research📚 査読済 / ジャーナル2026-01-01#CCUS

🤖 gxceed AI 要約

日本語

本研究は、インドのカーボンニュートラル達成に向けて、CCUSと再生可能エネルギー（REW）の比較評価を行った。デルファイ法とファジーAHP、ゲーム理論を統合したハイブリッドフレームワークを提案し、専門家の合意に基づく評価基準の重要度を分析。その結果、CCUSはCO2削減と技術成熟度で優れる一方、REWはコスト効率と社会的受容性で優位であることが判明した。ゲーム理論モデルからは、政府がCCUSを支援し産業がREWに投資する戦略が最適であることが示された。

English

This study proposes a hybrid decision-making framework combining Delphi, FAHP, and game theory to evaluate CCUS vs renewable energy for India's carbon neutrality. Results show CCUS excels in CO2 reduction and technological maturity, while renewables are superior in cost-effectiveness and scalability. The game theory model suggests optimal policy-industry strategy: government support for CCUS and industry investment in renewables.

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

本論文はインドを対象としているが、CCUSと再生可能エネルギーの比較評価手法は、日本のGX政策における技術選択の参考になる。特に、政府と産業の協力戦略をゲーム理論で分析した点は、日本の産学官連携にも示唆を与える。

In the global GX context

This paper adds to the literature on technology pathways for developing countries' decarbonization. It demonstrates a structured approach combining expert elicitation and game theory to inform policy-industry coordination, relevant for global south and emerging economies.

👥 読者別の含意

🔬研究者:This paper provides a novel hybrid methodology for evaluating CCUS vs renewables, useful for researchers in energy transitions.

🏢実務担当者:Corporate sustainability teams can learn from the game theory insights on policy-industry collaboration for technology deployment.

🏛政策担当者:Policymakers can use the dual-technology strategy recommendation to balance investments in CCUS and renewables.

📄 Abstract（原文）

India’s pursuit of carbon neutrality requires a thorough evaluation of emerging mitigating technologies, particularly carbon capture, utilisation and storage (CCUS) and renewable energy (REW). This study introduces a hybrid decision‐making framework that integrates the Delphi technique, fuzzy analytical hierarchy process (FAHP), game theory and business‐as‐usual (BAU) to assess the comparative feasibility of these technologies. Using the Delphi technique, experts came to a consensus on the most important evaluation criteria for CO 2 reduction, cost, technological maturity, public acceptance and scalability. Then, using FAHP, they ranked these factors in order of importance. The results show that CCUS is better at reducing CO 2 and improving technology, whereas REW is better at being cost‐effective, accepted by society and scalable. The game theory model shows that the best policy‐industry strategy is when the government supports CCUS and the industry puts money into REW. This shows how important it is for different groups to work together. Projected electricity demand and CO 2 emissions in a BAU scenario suggest a considerable increase by 2068, necessitating a dual‐technology strategy. The research calls for smart public spending on CCUS infrastructure together with faster adoption of REW. Constraints include reliance on expert evaluation and the reduction of stakeholder engagement to their most basic level.

🔗 Provenance — このレコードを発見したソース

semanticscholar https://doi.org/10.1155/er/7824211first seen 2026-05-15 20:48:04

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