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Closed-Loop Environmental Governance for Carbon-Neutral Mega-Events: Institutional Design, Policy Tools, MRV, and Environmental Legacy of the Beijing 2022 Winter Olympics

カーボンニュートラルな大規模イベントのための閉ループ環境ガバナンス: 北京2022冬季五輪の制度設計、政策手段、MRV、環境レガシー (AI 翻訳)

L. Kang, H. Shao, Minji An, Zhe Zhu

Sustainability📚 査読済 / ジャーナル2026-02-11#炭素会計Origin: CN
DOI: 10.3390/su18041847
原典: https://doi.org/10.3390/su18041847
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🤖 gxceed AI 要約

日本語

本研究は、北京2022冬季五輪の全ライフサイクルにおけるカーボンニュートラルガバナンスを評価し、制度設計、MRV、環境レガシーに焦点を当てている。公式の炭素会計データと公開統計を用いて、MRV中心のガバナンスチェーンが透明性とコンプライアンスを強化したことを明らかにした。環境指標は改善したが、これは純粋な因果寄与ではなく加速効果によるものと解釈される。

English

This study evaluates the full life-cycle carbon-neutral governance of the Beijing 2022 Winter Olympics, focusing on institutional design, MRV, and environmental legacy. Using official carbon accounting data and public statistics, it finds that an MRV-centered governance chain improved transparency and compliance. Environmental indicators improved, but the study attributes this to an acceleration effect rather than net causal contribution, highlighting the importance of robust MRV and quality offsets.

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

日本でも2020年東京五輪のカーボンニュートラル実績が議論されており、本論文のMRV中心のガバナンスモデルは日本の大規模イベントや自治体のカーボンニュートラル戦略に示唆を与える。

In the global GX context

This paper provides a detailed case study of carbon-neutral mega-event governance, relevant to future Olympic hosts and other large-scale events. The MRV framework and lessons on over-attribution are valuable for policymakers and event organizers worldwide.

👥 読者別の含意

🔬研究者:This paper offers a rigorous methodology for evaluating carbon neutrality claims in large events, using MRV and benchmarking to avoid over-attribution.

🏢実務担当者:Event organizers can learn from the MRV-centered governance chain and the importance of quality offsets and transparent disclosure.

🏛政策担当者:Regulators can consider the closed-loop governance model for ensuring credibility of carbon neutrality pledges in mega-events.

📄 Abstract(原文)

In the context of China’s “dual-carbon” strategy, the Beijing 2022 Winter Olympics provides a critical case for examining whether carbon-neutral commitments can be translated into measurable and lasting environmental outcomes through a closed-loop governance mechanism. This study develops an integrated analytical framework linking institutional design, policy tools, monitoring–reporting–verification (MRV), and environmental legacy, and evaluates full life-cycle carbon-neutral governance and post-event environmental performance using officially verified carbon accounting materials, governmental disclosures, and publicly available statistical data from 2016–2022. We synthesize the emission structure across preparation and Games-time phases, examine key mitigation and offset portfolios, and assess multi-dimensional environmental indicators in Beijing and Zhangjiakou, including atmospheric quality, energy structure transition, ecological restoration, and low-carbon transport systems. The results suggest that an MRV-centered governance chain strengthened accounting transparency and compliance-oriented implementation, while environmental indicators in the competition zones exhibited sustained improvement over the study period. To reduce over-attribution under concurrent national clean-air policies and macro-level environmental governance trends, we benchmarked host-zone indicators against external reference statistics and interpret the observed improvements as an “acceleration effect” under bounded inference rather than a strict net causal contribution. The findings highlight the importance of hotspot-oriented asset-chain governance (transport infrastructure and venue construction), robust MRV disclosure, and quality-controlled offsets in shaping credible environmental legacies, and provide policy implications for future mega-events seeking to balance carbon neutrality with long-term regional sustainability.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。