| “双碳”背景下数字经济与绿色物流耦合协调发展的时空特征及组态路径 |
| 摘要点击 144 全文点击 18 投稿时间：2024-05-29 修订日期：2024-08-13 |
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| 中文关键词 数字经济 绿色物流 耦合协调 动态QCA 组态路径 |
| 英文关键词 digital economy green logistics coupling coordination dynamic QCA configuration paths |
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| 中文摘要 |
| 数字经济与绿色物流耦合协调发展对于推动数字中国和美丽中国融合共进、落实“双碳”目标具有重要意义. 在厘清数字经济与绿色物流耦合协调发展机制的基础上，运用纵横向拉开档次法、修正的耦合协调度模型、冷热点分析及动态的汇总型模糊集定性比较分析（fsQCA）等方法揭示2013~2021年我国数字经济与绿色物流耦合协调发展的时空特征及组态路径. 结果表明：①时序变化上，我国数字经济与绿色物流发展水平均呈波动中上升趋势，两者的耦合协调度也具有增长态势，经历了由濒临失调向勉强协调的阶段式跨越，但整体耦合协调度不高. ②空间格局上，数字经济与绿色物流耦合协调度呈“东部高、中西部低”的分布格局，东部地区已处于初级协调状态，中西部多数省份仍处于以数字经济滞后型为特征的失调状态. ③空间关联上，数字经济与绿色物流耦合协调度空间正相关特征显著，江苏、上海、浙江和福建形成热点区且变化相对稳定，冷点区由内蒙古自治区向东北往黑龙江和吉林扩张，向南逐步覆盖山西. ④驱动数字经济与绿色物流高耦合协调的组态模式有3种，分别为技术主导型、技术-人才协同型和技术-结构优化型；分时段对比分析发现，技术条件随时间推移愈发重要，而在产业结构高级化程度较高的地区，人力资本可与技术条件形成替代关系. |
| 英文摘要 |
| The coupling coordinated development between digital economy and green logistics is of great significance in promoting the integration of Digital China and Beautiful China and realizing the goal of “Double Carbon.” For the purpose of clarifying the mechanism of coupling coordinated development between the digital economy and green logistics， this study applied the vertical and horizontal scatter degree method， modified coupling coordination degree model， cold-hot spot analysis， and dynamic aggregated fuzzy set qualitative comparative analysis （fsQCA） method to reveal the spatiotemporal characteristics and configuration paths of the coupling coordinated development between China's digital economy and green logistics during the period from 2013 to 2021. The findings showed that： ① In terms of temporal change， the development level of China's digital economy and green logistics fluctuated in an upward trend. The coupling coordination degree between the two also had a growth trend， experienced from the verge of dysfunction to barely coordination by stage spanning， but the overall coupling coordination degree was not high. ② In terms of spatial patterns， the coupling coordination degree between digital economy and green logistics showed a distribution pattern of “high in the east and low in the central and western regions.” The eastern region was already in a state of primary coordination， while most provinces in the central and western regions were still in a state of dysfunction characterized by a type of lagging digital economy. ③ In terms of spatial correlation， the spatial positive correlation of the coupling coordination degree between digital economy and green logistics was significant. Jiangsu， Shanghai， Zhejiang， and Fujian formed a hotspot area， and the change was relatively stable， while the coldspot area expanded from Inner Mongolia to the northeast towards Heilongjiang and Jilin， gradually covering Shanxi to the south. ④ Three types of configuration models drove the high coupling coordinated development between digital economy and green logistics， which were technology-led， technology-talent synergy， and technology-structure optimization. A comparative analysis of the study period revealed that technological conditions had become more important over time， whereas human capital could form a substitute for technological conditions in regions with a higher degree of advanced industrial structure. |
