| 长江经济带绿色物流-数字经济-生态环境耦合协调发展 |
| 摘要点击 444 全文点击 4 投稿时间：2025-07-30 修订日期：2025-11-01 |
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| 中文关键词 长江经济带 绿色物流 数字经济 生态环境 耦合协调 |
| 英文关键词 Yangtze River Economic Belt green logistics digital economy ecological environment coupling coordination |
| DOI 10.13227/j.hjkx.202507397 |
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| 中文摘要 |
| 绿色物流、数字经济与生态环境耦合协调发展对推动长江经济带高质量发展具有重要意义. 基于2014~2023年长江经济带省级面板数据，通过构建绿色物流、数字经济和生态环境（GDE系统）综合评价指标体系，运用耦合协调度模型、空间自相关模型、核密度估计法及面板Tobit模型，探讨GDE系统耦合协调时空特征及其影响因素. 结果表明：①长江经济带GDE系统耦合协调水平整体呈现上升趋势，形成“东高、中平、西低”的分布特征；在空间上全局存在显著正相关性，局部以“高-高”“低-低”集聚为主. ②制约GDE系统耦合协调发展的准则层障碍因子主要为经济效率、基础设施、发展规模和发展潜力，指标层障碍因子主要有人均货物周转量、人均邮政业务量和邮政网点密度等，障碍因子和障碍度在地区和时间上存在差异性. ③经济发展水平和产业结构对GDE系统耦合协调度存在显著正向影响，而政府干预和人口密度对GDE系统耦合协调度则存在显著负向影响. 研究结果有助于厘清GDE系统的耦合协调关系和影响因素，推动三系统协调发展，同时也可为区域高质量发展提供决策参考. |
| 英文摘要 |
| The coupled and coordinated development of green logistics， digital economy， and ecological environment is of great significance for promoting the high-quality development of the Yangtze River Economic Belt. Based on the provincial panel data of the Yangtze River Economic Belt from 2014 to 2023， by constructing a comprehensive evaluation index system of green logistics， digital economy， and ecological environment （hereinafter referred to as the GDE system） and applying the coupling coordination degree model， spatial autocorrelation model， kernel density estimation method， and panel Tobit model， we explored the spatio-temporal characteristics of coupling and coordination in the GDE system and its influencing factors. The results show that： ① The coupling and coordination level of the GDE system in the Yangtze River Economic Belt showed an overall upward trend， forming a distribution characteristic of “high in the east， flat in the middle， and low in the west.” The system exhibited significant positive spatial autocorrelation at the global level， with local agglomerations mainly characterized by high-high and low-low clusters. ② The main obstacle factors at the criterion level that restricted the coupling and coordinated development of the GDE system were economic efficiency， infrastructure， development scale， and development potential. The main obstacle factors at the indicator level included per capita cargo turnover volume， per capita postal business volume， postal network density， etc. There were differences in obstacle factors and obstacle degrees in terms of regions and time. ③ The level of economic development and industrial structure had a significant positive impact on the coupling coordination degree of the GDE system， while government intervention and population density had a significant negative impact on the coupling coordination degree of the GDE system. The research results are helpful in clarifying the coupling and coordination relationship and influencing factors of the GDE system and promoting the coordinated development of the three systems and can also provide decision-making references for high-quality regional development. |
