Configurational Paths and Dynamic Mechanisms of “Quantitative-Qualitative Synergistic Improvement” in Low-Carbon Innovation in Energy-Rich Regions from the Perspective of Carbon Neutrality
炭素中立の視点からのエネルギー豊富地域における低炭素イノベーションの「量的・質的相乗的改善」の構成パスと動的メカニズム (AI 翻訳)
Lin Chen, Changheng Wang
🤖 gxceed AI 要約
日本語
本研究は、炭素中立目標の下でエネルギー豊富地域における低炭素イノベーションの量的・質的向上のメカニズムを解明。構成理論とシステムダイナミクスを統合し、多様な要因の非線形的結合が成功の鍵であることを示した。中国事例から得られた知見は、地域特性に応じた低炭素戦略の策定に役立つ。
English
This study investigates the mechanisms for synergistic improvement of low-carbon innovation in energy-rich regions under carbon neutrality. Integrating configurational theory and system dynamics, it reveals that multiple factors (technology, institution, environment) combine in non-linear ways to drive patent output, economic benefits, and innovation quality. The findings guide differentiated regional low-carbon strategies.
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
中国のエネルギー豊富地域を対象とした研究だが、炭素中立目標下でのイノベーション促進の理論的枠組みは、日本の地域エネルギー転換にも示唆を与える可能性がある。
In the global GX context
While focused on Chinese energy-rich regions, this study's configurational approach to low-carbon innovation offers a novel analytical lens for understanding transition dynamics in resource-dependent economies globally.
👥 読者別の含意
🔬研究者:Provides a configurational framework for understanding low-carbon innovation in resource-dependent regions.
🏛政策担当者:Offers differentiated strategy insights for energy-rich regions pursuing carbon neutrality.
📄 Abstract（原文）
Driven by the global carbon neutrality agenda and China’s high-quality development strategy, energy-rich regions, as the main body of national energy security supply and key areas of carbon emission control, are facing severe challenges and strategic opportunities for low-carbon transition. Resolving the theoretical dilemma and practical bottleneck of the uncoordinated evolution between “quantitative expansion” and “qualitative improvement” in low-carbon innovation activities in such regions has become a critical scientific issue urgently to be addressed. Following the logical paradigm of “Motivation→Behavior→ Countermeasures”, this study integrates configurational theory and system dynamics thinking to construct an integrated analytical framework for “quantitative-qualitative synergistic improvement” in low-carbon innovation in energy-rich regions. By combining content analysis, expert surveys and group fuzzy decision-making trial and evaluation laboratory method, this study identifies multi-dimensional key factors driving “quantitative-qualitative synergistic improvement” in low-carbon innovation; furthermore, fuzzy-set qualitative comparative analysis is employed to reveal multiple equivalent configurational paths driving high patent output, high economic benefits and high comprehensive innovation quality. The findings show that a single factor is not a necessary condition for success, while the non-linear complex coupling of multi-dimensional factors such as technology, institution and environment constitutes the core dynamic mechanism. The conclusions clarify the realization logic of “quantitative-qualitative synergistic improvement” from dynamic and global perspectives, and provide theoretical basis and practical guidance for energy-rich regions to formulate differentiated low-carbon innovation strategies according to local conditions and achieve sustainable development under the goal of carbon neutrality.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.22158/ibes.v8n2p241first seen 2026-06-05 05:11:09
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