Coupling Interaction between New-Type Urbanization and Low-Carbon Development in the Ningxia Yellow River Basin Urban Agglomeration
Zhou Tao<sup>1</sup>, Wang Yaping<sup>1</sup>, Liu Xiaopeng<sup>2,3</sup>
🤖 gxceed AI 要約
日本語
本論文は、寧夏黄河流域都市圏の2012〜2022年のパネルデータを用い、新型都市化と低炭素発展の結合・相互作用を分析。修正結合協調モデル、PVARモデル、Tobitモデルを適用し、両システムの協調度と影響要因を定量的に評価。炭素排出削減と地域の質の高い発展の両立に向けた政策的示唆を提供する。
English
This study examines the coupling and interaction between new-type urbanization and low-carbon development using panel data (2012–2022) for the Ningxia Yellow River urban agglomeration. Applying a modified coupling coordination model, PVAR, and Tobit models, it quantifies the degree of coordination and influencing factors. The findings provide policy implications for balancing carbon emission reduction with regional high-quality development.
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
中国の地域開発と低炭素政策の連携を示す事例であり、日本における地方都市の脱炭素戦略やスマートシティ政策を考える上で参考になる。ただし、日本の制度・地域特性に合わせた調整が必要。
In the global GX context
This adds empirical evidence on how urbanization and low-carbon transitions can be coupled, relevant to global discussions on sustainable urban development and climate policy integration. The analytical framework can be transferred to other regions, though local contexts differ.
👥 読者別の含意
🔬研究者:Provides a methodology for measuring coupling between urbanization and low-carbon systems, useful for comparative studies.
🏢実務担当者:Offers insights for regional planners and sustainability officers in aligning urban growth with decarbonization goals.
🏛政策担当者:Highlights the importance of coordinating urban development and carbon reduction policies at regional scale.
📄 Abstract（原文）
This study investigates the coupling and interactive relationship between new urbanization and low-carbon development to provide support for realizing the transformation of new urbanization, promoting 'carbon emission reduction,' and facilitating regional high-quality development. Based on panel data from 2012–2022 for the Yellow River urban agglomeration in Ningxia, and employing a modified coupling coordination model, panel vector autoregression (PVAR) model, and Tobit model, this paper exa...
🔗 Provenance — このレコードを発見したソース
- chinarxiv https://chinaxiv.org/abs/202509.00028first seen 2026-08-02 13:44:27
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