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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

Spatiotemporal Characteristics and Driving Factors of the Coupled Coordination Between Digital Intelligence Development and Carbon Productivity in Urban Agglomerations of the Middle Reaches of Yangtze River
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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:(1)2012—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。 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.
作者 熊磊 章琦 严由亮 姜松 苏理云 XIONG Lei;ZHANG Qi;YAN Youliang;JIANG Song;SU Liyun(Accounting School,Chongqing University of Technology,Chongqing 400054,China;School of Economics and Business Administration,Chongqing University,Chongqing 400044,China;School of Accounting,Zhejiang Gongshang University,Hangzhou 310018,Zhejiang,China;School of Economics and Finance,Chongqing University of Technology,Chongqing 400054,China;College of Science,Chongqing University of Technology,Chongqing 400054,China)
出处 《经济地理》 CSSCI CSCD 北大核心 2024年第10期46-54,共9页 Economic Geography
基金 国家社会科学基金项目(20CJY040、21BJY123、23XGL038) 重庆市教育委员会人文社会科学研究项目(24SKJD133、23SKGH251) 浙江省哲学社会科学规划课题(24NDQN080YB)。
关键词 长江中游城市群 数智发展水平 碳生产率 耦合协调 urban agglomerations in the middle reaches of the Yangtze River digital intelligence development level carbon productivity coupling coordination
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