Spatiotemporal evolution characteristics and influencing factors of China’s interprovincial industrial green efficiency based on the super-efficiency SBM model
超効率SBMモデルに基づく中国省間産業グリーン効率の時空間進化特性と影響要因 (AI 翻訳)
Jinyu Wang, Rongqiang Xu, Shanshan Ye
🤖 gxceed AI 要約
日本語
本研究は超効率SBMモデルを用い、2005～2022年の中国省別パネルデータから産業グリーン効率指数を測定。地理検出器法で駆動要因を分析した結果、産業ガバナンスが最大の影響因子であり、経済基盤、要素投入が続く。東部と西部の格差が顕著で、デジタル経済の寄与が増加している。
English
This study measures China's interprovincial industrial green efficiency index from 2005-2022 using the super-efficiency SBM model and analyzes driving factors with the geographical detector method. Industrial governance has the largest driving effect, followed by economic foundation and factor input. Significant disparities exist between eastern and western provinces, and the digital economy's contribution is increasing.
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
中国の産業グリーン効率に関する実証研究であり、日本企業が中国事業を展開する際の参考になる可能性がある。ただし、日本のGX政策（GXリーグ、カーボンプライシング）との直接的な関連は薄い。
In the global GX context
This paper provides empirical evidence on industrial green efficiency in China, relevant for global supply chain analysis and comparative studies. It highlights the role of digital economy and governance, which may inform broader GX strategies, though it does not directly address global disclosure frameworks like TCFD or ISSB.
👥 読者別の含意
🔬研究者:Provides a comprehensive methodology for measuring industrial green efficiency and identifying driving factors using spatial econometrics.
🏢実務担当者:Offers insights into regional disparities and key drivers of green efficiency in China, useful for companies with Chinese operations or supply chains.
🏛政策担当者:Highlights the importance of industrial governance and digital economy in promoting green efficiency, relevant for industrial policy design.
📄 Abstract（原文）
With the rapid development of the economy and excessive resource consumption, improving industrial green efficiency is a crucial pathway to achieving sustainable industrial development. Based on the super-efficiency SBM model and using provincial panel data from 2005 to 2022, this study measures China’s industrial green efficiency index. It constructs an indicator system with 36 specific indicators selected from seven dimensions: industrial governance, economic foundation, factor input, technological efficiency, environmental governance, natural factors, and pollutant emissions. The study employs the geographical detector method to conduct an in-depth analysis of the driving effects of industrial green efficiency. The key findings are as follows: (1) Since 2005, China’s industrial green efficiency index has exhibited an initial increase followed by a slight decline, dropping from 0.668 to 0.623. (2) The pace of China’s green transition has been gradually accelerating, yet significant disparities in green efficiency indices remain among provinces, with particularly pronounced gaps between the developed eastern regions and the underdeveloped western regions. (3) The Moran’s Index indicates that 77.4% of China’s provinces show a positive spatial correlation between their industrial green efficiency and that of neighboring provinces, with this proportion on the rise. Strong spatial clustering is observed in Shanghai, Zhejiang, and Fujian, while spatial dispersion is noted in Hebei and Guangdong. (4) Industrial governance has the most significant driving effect on industrial green efficiency, followed by economic foundation (1.153), factor input (0.772), technological efficiency (0.637), environmental governance (0.567), natural factors (0.338), and pollutant emissions (0.239). (5) At present, economic development, industrial upgrading, capital investment, and green finance are the key driving forces behind industrial green efficiency. The negative impact of pollutant emissions has been gradually decreasing, while the role of technological innovation, though important, has shown a marginal diminishing trend in the later stages. Additionally, the digital economy’s contribution to industrial green efficiency has been steadily increasing.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.3389/fenvs.2025.1625233first seen 2026-05-05 19:07:45
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