成功への異なる道、失敗の共通源：中国大手鉱業グループのグリーン・低炭素発展の構成経路
Different Paths to Success, but a Common Source of Failure: The Configuration Path of Green and Low-Carbon Development for Large Mining Groups in China (原題)
Dan Qiu, Bangjun Wang
🤖 gxceed AI 要約
日本語
中国の大手鉱業グループを対象に、TOE-PフレームワークとNCA・動的fsQCAを用いて、グリーン低炭素発展の複数経路を特定。単一条件は必要十分でなく、技術・組織・環境・実践のシナジーが重要。緑色発明特許が全経路で中核条件となり、技術革新の基盤的役割を強調。高業績と非高業績の因果非対称性も示唆。
English
Using TOE-P framework with NCA and dynamic fsQCA on Chinese listed mining firms (2015-2025), this study identifies multiple configurational paths to high green and low-carbon performance. No single condition is necessary; synergy among technology, organization, environment, and practice is key. Green invention patents emerge as the sole core condition across all paths, underscoring technological innovation as foundational. Causal asymmetry between high and non-high outcomes is revealed.
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Dual Carbon政策下での鉱業セクターの移行経路を実証。日本企業にとっては、資源制約下での技術革新主導の脱炭素戦略の示唆に富む。SSBJ開示やサプライチェーン排出削減において、鉱業からの調達リスク管理に応用可能。
In the global GX context
Provides empirical evidence on configurational paths for decarbonization in a high-emission sector under China's Dual Carbon goals. Contributes to global understanding of how technology, regulation, and organizational factors combine to drive green transition, relevant for ISSB-aligned disclosure and transition finance assessments.
👥 読者別の含意
🔬研究者:Methodological insights on using fsQCA for configurational analysis in sustainability transitions.
🏢実務担当者:Strategic guidance on combining innovation, regulation compliance, and organizational practices for decarbonization.
🏛政策担当者:Evidence for designing differentiated policies that foster technological innovation in mining sectors.
📄 Abstract（原文）
China’s “Dual Carbon” goals impose rigid constraints on high-emission industries, yet why similarly endowed large mining groups exhibit divergent green and low-carbon performance remains poorly understood. The existing literature predominantly relies on single-factor net-effect analyses, failing to capture the configurational complexity and causal asymmetry underlying transformation outcomes. To address this gap, we extend the Technology–Organization–Environment (TOE) framework by integrating a green practice dimension, constructing a TOE-P configurational model. Using balanced panel data of A-share listed mining companies from 2015 to 2025, we combine Necessary Condition Analysis (NCA) with dynamic fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify the multiple conditions and combinational paths driving high green and low-carbon development. Our findings reveal three key insights. First, no single condition constitutes a necessary condition; high performance is inherently configuration-driven, requiring synergistic coordination among technology, organization, environment, and practice. Second, three equivalent paths, which are innovation breakthrough, regulation–innovation–practice synergy, and innovation-substitution-for-investment, emerge with green invention patents as the sole core condition shared across all paths, underscoring technological innovation as the foundational capability. Third, pronounced causal asymmetry exists between high and non-high outcomes; non-high performance stems from distinct mechanisms such as resource–practice decoupling rather than simply lacking success conditions. These results support differentiated, technology-driven transformation strategies and tailored policy designs for mining enterprises with varying resource constraints.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18178833first seen 2026-09-03 05:10:13
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