长江中游城市群数智发展水平与碳生产率的耦合协调时空特征及驱动因素

• 作者： 熊磊 ¹ 章琦 ² 严由亮 ³ 姜松 ⁴ 苏理云 ⁵
• 作者单位：
  1.  重庆理工大学会计学院

  2.  重庆大学经济与工商管理学院

  3.  浙江工商大学会计学院

  4.  重庆理工大学经济金融学院

  5.  重庆理工大学理学院
• 通讯作者： 严由亮 
• 发布时间：2024-12-03

摘要: 文章基于2012—2022年长江中游城市群28个地级及以上城市的面板数据，利用熵值法、耦合协调模型、空间杜宾模型等方法，探讨长江中游城市群数智发展水平与碳生产率的耦合协调时空特征及驱动因素。研究发现：①2012—2022年，长江中游城市群数智发展水平与碳生产率的耦合协调表现出稳步提升态势，其中2012—2020年“分布沿中值集中”，2021—2022年“发展向两端扩散”，右拖尾趋势比左拖尾趋势更明显，整体峰值向更高的协调度发展。②长江中游城市群数智发展水平与碳生产率的耦合协调形成以“两个优质协调城市”武汉和长沙、“一个中级协调城市”南昌为中心的“多核心”地理特征增长极，实现整体失调“脱贫”，协调度差异逐渐缩小。③长江中游城市群数智发展水平与碳生产率的耦合协调度存在显著正向空间自相关性；金融发展、人力资本、科技支持和产业结构对其呈现不同程度影响，其中金融发展、科技支持与产业结构发挥正向驱动作用，人力资本具有负向影响。

Abstract: Based on the panel data from 28 cities at prefecture level and above of urban agglomerations in the middle reaches of the Yangtze River from 2012 to 2022,this study employs methods such as the entropy method,coupling coordination degree model, and spatial Durbin model to discuss the spatiotemporal characteristics and driving factors of the coupling coordination between digital intelligence development and carbon productivity. It's found that: 1) From 2012 to 2022, the coupling coordination level between digital intelligence development and carbon productivity exhibited a steady upward trend,with a concentration around the median from 2012 to 2020, and a spread towards both ends from 2021 to 2022,which indicates that the right tailing trend is more obvious than the left tailing trend, and the overall peak shifts towards a higher degree of coordination. 2) A "multi-core" growth pattern has emerged, centered around two high-quality coordinated cities which are Wuhan and Changsha, and "one intermediate coordinated city which is Nanchang,leading to a transition from overall imbalance to a more balanced state with gradually diminishing differences in coordination degrees. 3) There is a significant positive spatial autocorrelation in the coupling coordination between digital intelligence development level and carbon productivity in urban agglomerations of the middle reaches of the Yangtze River. Financial development, technological support, and industrial structure play a positive driving role, human capital has a negative impact.

• 分类： 地理学 >> 人文地理学
• 稿件状态： 已在期刊出版
期刊名称： 《经济地理》 2024年 第10期 “区域经济与理论方法”专栏
• 引用： PSSXiv:202412.00123 (或此版本 PSSXiv:202412.00123V1)
  DOI:10.15957/j.cnki.jjdl.2024.10.005
  CSTR:32012.36.PSSXiv.202412.00123
• 推荐引用方式： 熊磊,章琦,严由亮,姜松,苏理云.长江中游城市群数智发展水平与碳生产率的耦合协调时空特征及驱动因素.经济地理,2024(10).[DOI:10.15957/j.cnki.jjdl.2024.10.005] (点此复制)