长三角数字经济创新与经济增长非均衡格局研究

Research on the inequitable pattern of digital economy innovation and economic growth in the Yangtze River Delta

摘要

数字经济创新日益成为经济增长的关键驱动力,而现有研究缺乏对二者空间关联的关注。综合运用响应强度测度模型、不一致指数、重心耦合分析模型、灰色关联分析等方法,研究2010—2023年长三角数字经济创新与经济增长的响应关系、非均衡格局及空间关联,研究发现:1)长三角数字经济创新的经济增长响应形成了以杭甬、扬镇常、芜铜为核心的核心边缘结构,弱响应和中等响应的地市占比较高;2)长三角数字经济创新与经济增长空间不一致指数存在明显差异,呈现出明显的“核心-边缘”结构;3)长三角数字经济创新重心与经济增长重心都呈“团状式”分布特征,迁移轨迹虽有阶段性差异,但变化幅度小;4)长三角经济增长重心和数字经济创新重心的空间重叠性变动不大,变动一致性整体呈现同向迁移;5)消费能力、投资水平、信息化水平与经济增长关联度高,其次为交通便利程度、人口数量、科技政策、人力资源、工业发展水平,数字经济创新与经济增长的灰色关联度最小;6)长三角经济增长与数字经济创新灰色关联度高的地市有舟山、湖州、杭州、铜陵,关联度处于“中等”和“低”类型的比例较高,原因主要是经济体量、产业结构以及数字经济创新应用程度差异。

Abstract

Innovation in the digital economy is increasingly becoming a key driver of economic growth,yet existing research lacks attention to the spatial correlation between the two.By comprehensively applying methods such as the response intensity measurement model,inconsistency index,gravity center coupling analysis model,and grey relational analysis,this study investigated the response relationship and non-equilibrium pattern between digital economy innovation and economic growth in the Yangtze River Delta from 2010 to 2023,and analyzed their spatial correlation.The research findings are as follows:1) The economic growth response of digital economy innovation in the Yangtze River Delta has formed a core-periphery structure with Hangzhou-Ningbo,Yangzhou-Zhenjiang-Changzhou,and Wuhu-Tongling as the cores,and the proportion of cities with weak and moderate responses is relatively high; 2) There are obvious differences in the spatial inconsistency index between digital economy innovation and economic growth in the Yangtze River Delta,presenting an obvious "core-periphery" structure; 3) The barycenters of digital economy innovation and economic growth in the Yangtze River Delta both show "clustered" distribution characteristics.Although there are stage differences in the migration trajectories,the change range is small; 4) The spatial overlap of the barycenters of economic growth and digital economy innovation in the Yangtze River Delta does not change much,and the consistency of change generally shows the same-direction migration; 5) Consumption capacity,investment level,and informationization level have a high degree of correlation with economic growth,followed by transportation convenience,population quantity,science and technology policies,human resources,and industrial development level,and the grey correlation degree between digital economy innovation and economic growth is the smallest; 6) The cities in the Yangtze River Delta with a high grey correlation degree between economic growth and digital economy innovation are Zhoushan,Huzhou,Hangzhou,and Tongling,and the proportion of the correlation degree in the "medium" and "low" types is relatively high.The main reasons are the differences in economic volume,industrial structure,and the application degree of digital economy innovation.

关键词

数字经济创新 / 经济增长 / 灰色关联分析 / 响应 / 重心转移 / 长三角

Key words

digital economy innovation / economic growth / grey correlation analysis / response / barycenter transfer / Yangtze River Delta

[1] 宋培,李琳,艾阳,等.数字经济创新、技术赋能偏向与产业结构转型[J].财经科学,2023(5):75-91.
[2] 宋培,李琳,艾阳,等.中国数字经济创新发展的技术选择与效果评估[J].科学学研究,2023,41(8):1410-1421.
[3] 张帅,吴珍玮,陆朝阳,等.中国省域数字经济与实体经济融合的演变特征及驱动因素[J].经济地理,2022,42(7):22-32.
[4] 左万水,古恒宇,周麟,等.中国市域数字经济创新空间格局演化及其驱动机制[J].经济地理,2024,44(6):102-112.
[5] 周浩,李健斌.中国数字经济创新活动的特征事实与分析:来自专利的证据[J].暨南学报(哲学社会科学版),2023,45(9):54-68.
[6] Sun Luyun,Zhao Pan,Zhou Benda.Exploring the digital economy innovation in the Yangtze River Delta:a perspective of complex networks[J].Entropy,2025,27(12):1241
[7] 王阿娜.数字经济创新对中国城市全球价值链专业化分工的影响[J].首都经济贸易大学学报,2025,27(1):23-35.
[8] 付敏杰,李绪恒.财政分权、支出结构偏向与地级市数字经济创新[J].价格理论与实践,2025(3):20-26.
[9] 廖苏宏.数字经济创新、国内国际双循环与现代化产业体系建设[J].统计与决策,2025,41(21):91-97.
[10] 聂贤波.数字经济创新、劳动力非农就业与共同富裕[J].技术经济与管理研究,2024(8):40-45.
[11] 杨晓章,钟世虎,潘妍.数字经济创新合作网络的时空演进特征及收入分配效应[J].统计研究,2025,42(11):60-72.
[12] 姚建盛,夏运煌,黄毅,等.长三角地区数字经济对旅游经济韧性的影响及其空间效应[J].经济地理,2026,46 (4):143-154.
[13] 李源,刘承良.中国城市数字技术创新的时空演化及影响因素[J].地理科学,2024,44 (5):754-765.
[14] 王艳芳,邸春硕.数字技术创新、传统技术变革与经济增长[J].科学学与科学技术管理,2025,46(1):109-121.
[15] Du Danli,Jian Xiaojie.Nonlinear impact of digital innovation on regional economic growth:empirical evidence from Chinese data[J].Technology Analysis & Strategic Management,2025,37(7):737-751.
[16] 于正松,莫君慧,李同昇,等.入境旅游业发展的居民收入响应强度省际差异[J].经济地理,2014,34(12):188-193.
[17] 闫东升,何甜,陈雯.人口聚集、经济扩散及其不一致状况:来自长江三角洲的经验研究[J].经济地理,2017,37(9):47-56.
[18] 张克新,赵莉,汪田归,等.西南地区非物质文化遗产与传统村落空间错位及影响因素[J/OL].贵州师范大学学报(自然科学版),2025-04-22.https://link.cnki.net/urlid/52.5006.N.20260422.1058.022.
[19] 赵淑娟,刘海英,江涌起.基于PSR-EES模型的绥化市土地生态安全评价及影响因素分析[J].贵州师范大学学报(自然科学版),2022,40(6):46-53.
[20] 陈俊梁,史欢欢,林影,等.城镇化对经济增长影响的路径分析:基于长三角城市群的研究[J].经济问题,2022(4):49-57.
[21] 胡晓辉,马立行.内需拉动经济增长的长期宏观效应:基于长三角城市群的实证研究[J].华东经济管理,2020,34(11):1-8.
[22] 龚维进,倪鹏飞,徐海东,等.互联网驱动中国区域经济增长:时空效应与复合机制[J].管理科学学报,2021,24(11):1-25.
[23] 肖燕飞.中国区域资本时空演变特征及其对经济增长影响[J].经济地理,2017,37(11):28-36.
[24] 西蒙·库兹涅茨.各国的经济增长[M].北京:商务印书馆,2022.
[25] 刘承良,管明明,段德忠.中国城际技术转移网络的空间格局及影响因素[J].地理学报,2018,73(8):1462-1477.

基金资助

河南省哲学社会科学规划项目(2023BJJ002);河南省科协2026年度科技决策咨询研究课题(SKXJCZX-2026-49B);河南省高校人文社会科学一般项目(2027-ZDJH-357)