Data on Urban Energy Transition and Green Finance Reform and Innovation Pilot Zones in China, 2011–2022
中国における都市のエネルギー転換とグリーンファイナンス改革・革新パイロットゾーンのデータ（2011-2022年） (AI 翻訳)
Ma Yingke
🤖 gxceed AI 要約
日本語
本論文は、中国のグリーンファイナンス改革・革新パイロット政策が都市のエネルギー転換に与える影響を、2011～2022年の277都市のパネルデータを用いて分析。政策はグリーン技術革新を媒介としてエネルギー転換指数を平均1.2%向上させ、エネルギー構造と効率の両方を改善する。政策効果は都市の特性や移行経路によって異なり、パイロットゾーンの拡大とターゲット政策の重要性を示唆する。
English
This study analyzes the impact of China's green finance reform pilot policy on urban energy transition using panel data from 277 cities (2011-2022). The policy raises the energy transition index by 1.2% on average via green technological innovation, improving both energy structure and efficiency. Effects vary by city characteristics and transition paths, suggesting the need for expanded pilot zones and targeted policies.
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
中国のグリーンファイナンス政策の実証エビデンスは、日本の地域別脱炭素政策や金融機関の投融資判断に示唆を与える。特にSSBJ開示と連動した資金配分の効果測定手法として参考になる。
In the global GX context
This paper provides causal evidence on green finance policy effectiveness, relevant for global discussions on transition finance and the design of disclosure-linked incentives. The empirical approach using diff-in-diff and mediation analysis can inform ISSB and TCFD-aligned policy evaluations.
👥 読者別の含意
🔬研究者:Methodology for evaluating green finance policy impacts using panel data and mediation analysis.
🏢実務担当者:Insights into how green finance pilots can drive energy transition, useful for corporate green financing strategies.
🏛政策担当者:Evidence supporting the expansion of green finance pilot zones and the need for differentiated policies based on city characteristics.
📄 Abstract（原文）
Research HypothesesThe green finance pilot policy significantly promotes urban energy transition.The policy functions via green technological innovation, with high-quality green invention patents playing a stronger mediating role.Policy effects vary across cities with different dynamic energy transition paths.The policy improves energy structure and utilization efficiency synergistically.DataThis study uses panel data of 277 prefecture-level cities in China from 2011 to 2022, collected from official statistical yearbooks and the CSMAR database, with missing data filled by interpolation. We calculate the energy transition index via the coupling coordination model, and adopt policy interaction terms, green patents and urban characteristic variables for analysis.Key FindingsThe policy raises the energy transition index of pilot cities by an average of 1.2%. Green innovation acts as the core transmission channel, especially high-quality innovation. Policy impacts differ among cities and transition paths. The policy optimizes both energy structure and efficiency, with a slightly better effect on energy efficiency.Data Interpretation & ApplicationWe interpret data using difference-in-differences, mediation effect and grouped regression to verify policy effects, mechanisms and heterogeneity. The results support expanding green finance pilots and designing targeted policies to advance low-carbon urban energy transition.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.57760/sciencedb.40318first seen 2026-06-26 04:58:13
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