黄河中游城市群绿色技术创新能力的时空演变与影响因素  

Analysis on the spatiotemporal evolution and influencing factors of green technology innovation capability of urban agglomerations in the middle reaches of the Yellow River

作　　者：史利江 李前锦 高杉 李永宁 姚晓军[2] 张晓龙 张殷波 高峰[1] Lijiang Shi;Qianjin Li;Shan Gao;Yongning Li;Xiaojun Yao;Xiaolong Zhang;Yinbo Zhang;Feng Gao(College of Resources and Environment,Shanxi University of Finance and Economics,Taiyuan 030006,China;College of Geography and Environmental Science,Northwest Normal University,Lanzhou 730070,China)

机构地区：[1]山西财经大学资源环境学院,山西太原030006 [2]西北师范大学地理与环境科学学院,甘肃兰州730070

出　　处：《中国沙漠》2024年第6期122-134,共13页Journal of Desert Research

基　　金：国家自然科学基金面上项目(32171658);山西省基础研究计划项目(202103021223307);山西省研究生科研创新项目(2023KY550);山西省社科联重点研究项目(SSKLZDKT2020045)。

摘　　要：基于DPSIR模型构建了黄河中游城市群绿色技术创新能力的综合评价指标体系,利用熵值法、泰尔指数、空间自相关、引力模型以及地理探测器等方法分析了2010―2020年黄河中游城市群绿色技术创新能力的时空格局演变、影响因素以及空间关联网络特征。结果表明:(1)黄河中游城市群绿色技术创新能力呈逐年上升趋势,四大城市群间绿色技术创新能力的非均衡性逐步减小,但各城市间绿色技术创新能力的非均衡性逐渐增大。(2)绿色技术创新能力的空间分布形成了多“核心-边缘”的空间格局,4个省会城市的绿色技术创新能力优势明显,而黄土高原东西两侧、关中平原西部及中原城市群东南部的城市绿色技术创新能力偏低;空间自相关在全局上随机性较强,在局部也仅有个别城市存在高-低、低-高的集聚现象,没有形成明显的空间集聚特征。(3)绿色技术创新能力的空间关联网络格局趋于复杂,形成了郑州-新乡-西安强空间引力的小三角区和郑州-西安-太原强空间引力的大三角区。(4)社会经济基础、创新资源、创新环境以及产业结构等因素通过与其他因子的交互作用,成为影响黄河中游城市群绿色技术创新能力空间分异的主要驱动因素。Base on the DPSIR model,a comprehensive evaluation index system for the green technology innovation capability of urban agglomerations in the middle reaches of the Yellow River was constructed.The spatiotemporal pattern evolution,influencing factors,and spatial correlation network characteristics of the green technology innovation capability of urban agglomerations in the middle reaches of the Yellow River from 2010 to 2020 were analyzed by means of entropy method,Theil index,spatial autocorrelation,gravity model,and geographic detector.The results showed that:(1)The green technology innovation capability of the urban agglomerations in the middle reaches of the Yellow River was increasing year by year,and the imbalance of green technology innovation capability among the four major urban agglomerations was gradually decreasing,while the imbalance of green technology innovation capability among cities was gradually increasing.(2)The spatial distribution of green technology innovation ability formed a multiple core-edge spatial pattern.The four major provincial capitals had obvious advantages in green technology innovation ability,while the eastern and western parts of the Loess Plateau,the western part of the Guanzhong Plain and the southeastern part of the Central Plains urban agglomeration had low green technology innovation ability.The global autocorrelation was characterized by strong randomness,while the local autocorrelation was characterized by high-low and low-high clustering in some cities,without forming obvious spatial clustering characteristics.(3)The spatial correlation network pattern of green technology innovation capability tended to be complex,forming a small triangle of strong spatial gravity of Zhengzhou-Xinxiang-Xi'an and a large triangle of Zhengzhou-Xi'an-Taiyuan.(4)Social and economic development,innovation resources,innovation environment and industrial structure were the main driving factors affecting the spatial differentiation of green technology innovation capability of urban agglomerati

关 键 词：绿色技术创新 时空演变 城市群 黄河中游 

分 类 号：F129.9[经济管理—世界经济]