汚染対策からシステムガバナンスへ：中国における環境政策進化の50年
From pollution control to system governance: five decades of environmental policy evolution in China (原題)
Xingjun Ru, Yingying Lu, Shaofeng Chen, Heinz Schandl
🤖 gxceed AI 要約
日本語
本論文は、1978年から2025年までの中国中央環境政策文書3460件を、LLMによる意味強化・動的トピックモデリング・多層検証を統合した計算枠組みで分析した。汚染対策から生態文明・デュアルカーボンへ至る5段階の累積的移行を定量的に示し、制度の層状化と循環経済言説の構造的統合を明らかにする。大規模政策テキスト分析の再現可能な枠組みを提示する。
English
This study analyzes 3,460 Chinese central environmental policy documents (1978–2025) using an integrated computational framework combining LLM-based semantic enhancement, dynamic topic modeling, and multi-layer validation. It traces five cumulative stages of governance, from pollution control to ecological civilization and the dual-carbon agenda, revealing institutional layering and the structural embedding of circular economy discourse. The work offers a replicable framework for large-scale policy text analysis.
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
中国の環境政策ガバナンスの変遷を定量的に追跡する手法は、日本のSSBJ・有報での気候関連開示や政策動向分析にも応用可能であり、AIを活用した政策テキスト分析の先例として日本企業・政策担当者に示唆を与える。
In the global GX context
This paper demonstrates how LLM-based computational text analysis can trace long-term policy evolution, offering a replicable method for analyzing climate disclosure and policy frameworks globally, including TCFD/ISSB-aligned reporting and national decarbonization strategies.
👥 読者別の含意
🔬研究者:AIと政策テキスト分析を組み合わせた手法論と、中国環境ガバナンスの長期定量分析の実証例を提供する。
🏢実務担当者:中国市場での規制動向を理解し、サプライチェーンや投資判断における政策リスク評価に活用できる。
🏛政策担当者:大規模政策文書の計算分析手法は、自国の環境政策の進化追跡や国際比較に応用可能である。
📄 Abstract（原文）
China's environmental governance has undergone a profound transformation since the late 1970s, with implications that extend far beyond its borders. Existing accounts of this evolution rely largely on qualitative periodisation and expert interpretation, offering limited capacity to trace long-term changes in policy priorities and governance logics. This study analyses 3460 central-level environmental policy documents from 1978 to 2025 through an integrated computational framework that combines large language model-based semantic enhancement, dynamic topic modelling, and multi-layer validation, measuring discursive intensity in both absolute and normalised terms across nearly five decades of policy development. The analysis traces five interlinked stages of environmental governance, marking a transition from problem-driven pollution control and energy conservation towards concept-led, system-oriented governance anchored in ecological civilisation and the dual-carbon agenda. Change across these stages is cumulative, not substitutive. Normalised measurement reveals a pattern of institutional persistence with declining relative dominance: foundational regulatory instruments grew in absolute frequency even as their share of policy attention fell, a signature of institutional layering in which new governance paradigms accumulate upon established foundations rather than replacing them. The trajectory of circular economy discourse, from peripheral mention in the 1980s to structural integration with carbon mitigation objectives, shows how resource conservation themes achieve institutional embedding within this evolving architecture. The study provides systematic, corpus-based quantitative evidence that confirms, refines, and extends established qualitative narratives, demonstrates a replicable framework for large-scale policy text analysis, and offers new insight into how state attention and governance paradigms evolve in rapidly transforming economies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.resconrec.2026.109195first seen 2026-10-14 05:13:07
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