Toward carbon neutrality: The impact of the opening of high-speed rail on urban green total factor energy efficiency in China
炭素中立に向けて：中国における高速鉄道開通が都市のグリーン全要素エネルギー効率に与える影響 (AI 翻訳)
Lan Yu, Chunheng Fu, Ting Yu, Yuntao Wei
🤖 gxceed AI 要約
日本語
本論文は、高速鉄道（HSR）の開通が中国の都市におけるグリーン全要素エネルギー効率（GTFEE）に与える影響を、動的ネットワークスラックベース尺度（DNSBM）と時間変動段階差の差（DID）モデルを用いて分析。主な結果として、HSR開通はGTFEEを有意に向上させ、その効果はスマートシティや高革新レベルの都市で顕著である。媒介分析により、経済集積、産業構造の最適化、グリーン革新能力の向上という三つの経路が確認された。
English
This study examines the impact of high-speed rail (HSR) opening on urban green total factor energy efficiency (GTFEE) in China using a dynamic network slacks-based measure and staggered difference-in-differences method. Results show HSR significantly improves GTFEE, with stronger effects in smart cities and high-innovation cities. Mediation analysis identifies economic agglomeration, industrial structure optimization, and green innovation as transmission channels.
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HSR政策は日本の新幹線と類似点があり、日本版GTFEE研究への応用が期待される。また、SSBJやGXリーグでの交通インフラの脱炭素効果評価に示唆を与える。
In the global GX context
This paper provides robust causal evidence on transport infrastructure's role in green efficiency, relevant to global carbon neutrality strategies and infrastructure investment decisions aligned with TCFD/ISSB frameworks.
👥 読者別の含意
🔬研究者:Provides a methodological framework (DNSBM + staggered DID) and mediation analysis for studying infrastructure's green efficiency impacts.
🏢実務担当者:Offers quantitative evidence for evaluating HSR projects' environmental benefits and identifying mediating factors (agglomeration, innovation) that firms can leverage.
🏛政策担当者:Supports policy design for low-carbon transport and infrastructure investments tied to carbon neutrality targets, with heterogeneity insights for smart city and innovation policies.
📄 Abstract（原文）
As a key low-carbon-oriented transport infrastructure, the opening of high-speed rail (HSR) has been widely recognized as a critical enabler to support China’s national carbon peaking and carbon neutrality strategic targets. This study employs the dynamic network slacks-based measure (DNSBM) framework to estimate urban green total factor energy efficiency (GTFEE), accounting for both internal production linkages and cross-period production inertia. Our causal identification based on the time-varying staggered difference-in-differences (DID) model revealed that HSR opening exerts a significant positive impact on urban GTFEE, and this core conclusion remained consistent across several robustness checks, including propensity score matching DID estimation, counterfactual placebo test, exclusion of concurrent policy shocks, and alternative measurement of core variables. Heterogeneity tests further indicated that the GTFEE improvement effect of HSR opening is particularly pronounced in three subgroups: smart-city pilot cities, high-innovation-level cities, and cities with advanced industrial structures. Mediating mechanism analysis verified that HSR opening promotes urban low-carbon transformation through three core transmission paths: stimulating economic agglomeration, driving industrial structure optimization, and enhancing green innovation capacity. Furthermore, the Goodman–Bacon decomposition test for heterogeneous treatment effects confirmed that the potential estimation bias of staggered DID is negligible in this study, further supporting the reliability of our baseline estimation results.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.36922/ajwep026110068first seen 2026-06-10 05:07:47
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