| 中国物流业与低碳经济融合水平的区域差异与时空演化 |
| 摘要点击 222 全文点击 3 投稿时间：2025-04-06 修订日期：2025-06-10 |
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| 中文关键词 物流业 低碳经济 融合水平 区域差异 时空演化 |
| 英文关键词 logistics industry low-carbon economy integration level regional disparities spatiotemporal evolution |
| DOI 10.13227/j.hjkx.202504066 |
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| 中文摘要 |
| 在“双碳”目标引领下，探索物流业与低碳经济之间的协同关系，推动二者的有效耦合与协调发展，对落实碳达峰目标具有重要意义. 基于2013~2022年中国30个省域的面板数据，运用耦合加权法、基尼系数、核密度估计和空间自相关分析，系统分析了物流业与低碳经济融合水平的区域差异与时空演化特征. 结果表明：①研究期内，中国物流业与低碳经济的融合水平呈逐年上升趋势，耦合协调等级由勉强协调和初级协调为主逐步向初级协调为主转变，但整体仍处于较低水平. ②区域异质性显著，呈现“东高西低”的梯度格局. 东部地区耦合协调度领先且增速快，中西部及东北地区增速滞后. ③地区内差异小幅波动增加，区域间差异是总体差异的主要来源，总体差异贡献率波动变化. ④空间格局呈现俱乐部收敛特征，高水平地区趋于积聚，但空间溢出效应有限. 研究深入解析物流业与低碳经济协同发展的空间异质性及动态演化机制，可为构建差异化政策体系和实现资源优化配置提供重要决策依据. |
| 英文摘要 |
| Under the guidance of the “dual carbon” goals， exploring the synergistic relationship between the logistics industry and the low-carbon economy and promoting their effective coupling and coordinated development are of great significance for achieving the carbon peak target. Based on panel data from 30 Chinese provinces between 2013 and 2022， this study systematically analyzes the regional disparities and spatiotemporal evolution characteristics of the integration level between the logistics industry and the low-carbon economy using coupling weighting methods， the Gini coefficient， kernel density estimation， and spatial autocorrelation analysis. The results indicated that： ① During the study period， the integration level of China's logistics industry and low-carbon economy showed an upward trend year by year. The coupling coordination grade transitioned from being predominantly marginal or primary coordination to primarily primary coordination， though the overall level remained relatively low. ② Regional heterogeneity was significant， presenting an “east-high， west-low” gradient pattern. The coupling coordination degree in the eastern region led with rapid growth， while the central， western， and northeastern regions lagged in growth. ③ Intra-regional differences exhibited minor fluctuations with an increasing trend， and inter-regional differences constituted the main source of overall disparities， with the contribution rate of total differences fluctuating over time. ④ The spatial pattern demonstrated club convergence characteristics， with high-level regions tending to cluster， though spatial spillover effects remained limited. This study provides an in-depth analysis of the spatial heterogeneity and dynamic evolution mechanisms of the coordinated development between the logistics industry and the low-carbon economy， offering important decision-making insights for constructing differentiated policy systems and optimizing resource allocation. |
