Energy Carbon Emission Measurement and Influencing Factor Analysis - A Case Study of Ningxia Abstract
エネルギー炭素排出量の測定と影響要因分析 - 寧夏回族自治区の事例研究 (AI 翻訳)
Jiaxuan Tian
🤖 gxceed AI 要約
日本語
中国寧夏回族自治区の5都市を対象に、排出係数法で2011～2023年の炭素排出量を推計。人口、経済水準、産業構造、グリーンファイナンス、技術革新、都市化の影響を分析した結果、炭素排出は北部工業都市に集中し「北高南低」の分布を示し、排出強度は低下している。経済成長と排出のデカップリングが進行し、グリーンファイナンスと技術革新が排出削減に有効であることが示された。地域別の政策提言を行う。
English
This study calculates urban carbon emissions for five prefecture-level cities in Ningxia from 2011-2023 using the emission factor method. It analyzes drivers including population, economic development, industrial structure, green finance, innovation, and urbanization. Results show spatial disparities with high emissions in northern industrial cities ('high north, low south'), declining emission intensity, and decoupling of economic growth from emissions. Green finance and technological innovation show significant emission reduction effects. Differentiated policy measures are proposed.
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
本論文は中国の資源依存地域における炭素排出測定と要因分析の事例を提供する。日本の読者にとっては、地域別の脱炭素戦略やグリーンファイナンスの排出削減効果に関する示唆が得られるが、寧夏固有の政策文脈やSSBJ・TCFDとの直接的な関連は薄い。ただし、サブナショナルレベルでの炭素会計手法は参考になる。
In the global GX context
This paper contributes to global carbon accounting literature by providing a detailed city-level analysis of carbon emissions in a developing region. It highlights the role of green finance and technological innovation in emission reduction, aligning with global trends. The decoupling of economic growth from emissions is a key finding for sustainability scholars, though it does not directly engage with ISSB or TCFD disclosure standards.
👥 読者別の含意
🔬研究者:Offers a case study of carbon emission drivers and decoupling in a Chinese region, useful for comparative carbon accounting research.
🏢実務担当者:Methodology for emission calculation and driver analysis could be adapted, but region-specific findings limit direct applicability.
🏛政策担当者:Provides insights into regional carbon reduction policies in China, but less relevant for Japanese policymakers.
📄 Abstract（原文）
This study takes five prefecture-level cities in Ningxia—Yinchuan, Shizuishan, Wuzhong, Guyuan, and Zhongwei—as research subjects, using the emission factor method to calculate urban carbon emissions from 2011 to 2023. It analyzes the impacts of population size, economic development level, industrial structure, and other factors on carbon emissions, and explores key driving forces by integrating data on green finance, innovation indices, and urbanization. The findings indicate that carbon emissions in Ningxia exhibit significant spatial disparities, with high-emission areas concentrated in northern industrial cities, showing a "high north, low south" distribution pattern. Total carbon emissions have shown an upward trend, while emission intensity has continuously declined, indicating a gradual decoupling between economic growth and carbon emissions. Economic level, industrial structure, and energy consumption are the core drivers, while green finance and technological innovation demonstrate significant emission reduction effects. Urbanization shows an inverted "U"-shaped relationship with carbon emissions. Finally, the study proposes differentiated policy measures, region-specific controls for northern and southern areas, core-led initiatives, and ecological prioritization as pathways for emission reduction, offering strategic recommendations for pollution control and carbon mitigation in Ningxia Hui Autonomous Region to achieve its dual carbon goals.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.54097/h6mk2j79first seen 2026-06-20 05:46:29
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