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Data · dataset · 2026

The spatiotemporal characteristics and driving factors of the coupling coordination between green low-carbon development and green finance in the Yangtze River Economic Belt

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The synergistic advancement of green low-carbon development and green finance constitutes a pivotal pathway for achieving China’s "Dual Carbon" goals and for steadily promoting high-quality development.

Description

Based on panel data from 107 prefecture-level cities in the Yangtze River Economic Belt over the period 2008-2023, this study elucidates the coupling and coordination mechanism between green low-carbon development and green finance.

A suite of analytical methods are employed to investigate the spatiotemporal evolution and driving forces of their coupling coordination degree, including a modified coupling coordination degree model, kernel density estimation, standard deviational ellipse analysis, exploratory spatiotemporal data analysis, spatiotemporal transition analysis, and nested quantile regression. Data on Green and Low-Carbon Development and Green Finance in the Yangtze River Economic Belt from 2008 to 2023.

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Inferred from text
Environment and climate finance 78%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00100.0005211 d agoJSON v1
FieldAssertionExtractorEvidence
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