长江流域资源与环境 >> 2025, Vol. 34 >> Issue (6): 1222-.doi: 10.11870/cjlyzyyhj202506006

• 区域可持续发展 • 上一篇    下一篇

长三角新质生产力时空演变及障碍因子识别

苗成林1,2,张傲翔1*,李国庆1   

  1. (1.安徽理工大学经济与管理学院,安徽 淮南 232001;2.山东工商学院工商管理学院,山东 烟台 264005)
  • 出版日期:2025-06-20 发布日期:2025-06-27

Spatial and Temporal Evolution and Obstacle Identification of New Productive Forces in the Yangtze River Delta

MIAO Cheng-lin1,2, ZHANG Ao-xiang1, LI Guo-qing 1   

  1. (1. School of Economics and Management, Anhui University of Science and Technology, Huainan 232001, China; 2. School of Management, Shandong Technology and Business University, Yantai 264005, China)
  • Online:2025-06-20 Published:2025-06-27

摘要: 长三角地区具有充分发挥战略新兴产业和高新技术产业动能的产业禀赋,对于加快形成新质生产力具有产业、技术和市场基础。选取2016~2022年长三角城市相关数据,通过CRITIC-突变级数法-TOPSIS、Dagum基尼系数和障碍度模型对长三角城市的新质生产力进行评价和分析。结果显示: 长三角新质生产力年平均增长率3.05%。各地区新质生产力关系表现为“上海>江苏>浙江>安徽,南京、苏州、无锡 、常州、杭州、合肥位于各区域前列;省份之间的基尼系数在0.14~0.18之间,处于绝对平均水平,组内差异贡献率和超密度贡献率有扩大趋势;系统层障碍因子中,人力资本结构、物质和无形生产资料以及指标层障碍因子中公路里程、环境保护力度、研发经费投入强度等障碍因子对长三角整体和各地区的新质生产力均具有较大影响力。针对研究结果,提出有关城际联动和人才结构方面有关的建议,为地区发展提供依据。

Abstract: The Yangtze River Delta (YRD) has the industrial endowment to give full play to the kinetic energy of strategic emerging industries and high-tech industries, and has industrial, technological and market foundations for accelerating the formation of new productive forces. Relevant data of YRD cities were selected from 2016-2022, and the new productive forces of YRD cities were evaluated and analysed by CRITIC-Mutation Level Method-TOPSIS, Dagum Gini Coefficient and Obstacle Degree Model. The findings were as follows: (1) The average annual growth rate of new productive forces in the YRD region was 3.05%. The rate was ordered as Shanghai>Jiangsu> Zhejiang>Anhui, with Nanjing, Suzhou, Wuxi, Changzhou, Hangzhou and Hefei at the forefront of the region; (2) The Gini coefficient between provinces ranged from 0.14 to 0.18, which was at the absolute average level. There was a tendency of expanding for the contribution rate of intra-group differences and hyperintensity; (3) Among the system-level obstacle factors, human capital structure, material and intangible means of production had a greater influence on the new productive forces in the YRD as a whole and in each region. Based on the results of the study, relevant recommendations on intercity linkages and human capital structure were proposed to provide a basis for regional development.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 张鑫, 陈志刚. 经济增长激励、官员异质性与城市工业污染:以长三角地区为例[J]. 长江流域资源与环境, 2018, 27(07): 1314 .
[2] 郭政, 董平, 陆玉麒, 黄群芳, 马颖忆. 长三角集装箱港口体系演化及影响因素分析[J]. 长江流域资源与环境, 2018, 27(07): 1340 .
[3] 蓝希, 刘小琼, 郭炎, 陈昆仑. “长江经济带”战略背景下武汉城市水环境承载力综合评价[J]. 长江流域资源与环境, 2018, 27(07): 1345 .
[4] 罗能生, 王玉泽.彭郁, 李建明. 长江中游城市群生态效率的空间关系及其协同提升机制研究[J]. 长江流域资源与环境, 2018, 27(07): 1349 .
[5] 刘钢, 刘坤琳, 汪玮茜, 赵爽. 水质感知视角下水库移民满意度分析——基于有序逻辑回归的实证研究[J]. 长江流域资源与环境, 2018, 27(07): 1355 .
[6] 戢晓峰, 刘丁硕. 基于3D理论与SEM的县域交通可达性与空间贫困的耦合机制[J]. 长江流域资源与环境, 2018, 27(07): 1360 .
[7] 张大鹏, 曹卫东, 姚兆钊, 岳洋, 任亚文. 上海大都市区物流企业区位分布特征及其演化[J]. 长江流域资源与环境, 2018, 27(07): 1365 .
[8] 佘颖, 刘耀彬. 国内外绿色发展制度演化的历史脉络及启示[J]. 长江流域资源与环境, 2018, 27(07): 1370 .
[9] 侯雯嘉, 陈长青, 乔辉, 孙新素, 周曙东. 1980~2009年长江下游地区油菜冻害时空特征研究[J]. 长江流域资源与环境, 2018, 27(07): 1375 .
[10] 姚琳, 沈竞, 温新龙, 高超. WRF模式参数化方案对江西山地风电场的风模拟研究[J]. 长江流域资源与环境, 2018, 27(07): 1380 .