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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

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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。
Analysis on the spatiotemporal evolution and influencing factors of green technology innovation capability of urban agglomerations in the middle reaches of the Yellow River
Base on the DPSIR model,a comprehensive evaluation index system for the green technology inno-vation capability of urban agglomerations in the middle reaches of the Yellow River was constructed.The spatio-temporal pattern evolution,influencing factors,and spatial correlation network characteristics of the green tech-nology 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 geo-graphic detector.The results showed that:(1)The green technology innovation capability of the urban agglomer-ations in the middle reaches of the Yellow River was increasing year by year,and the imbalance of green technol-ogy innovation capability among the four major urban agglomerations was gradually decreasing,while the imbal-ance 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 cap-itals 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 ag-glomeration 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 cit-ies,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 devel-opment,innovation resources,innovation environment and industrial structure were the main driving factors af-fecting the spatial differentiation of green technology innovation capability of urban agglomerations in the mid-dle reaches of the Yellow River through interaction with other factors.

green technology innovationspatiotemporal evolutionurban agglomerationthe middle reaches of the Yellow River

史利江、李前锦、高杉、李永宁、姚晓军、张晓龙、张殷波、高峰

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山西财经大学资源环境学院,山西太原 030006

西北师范大学地理与环境科学学院,甘肃兰州 730070

绿色技术创新 时空演变 城市群 黄河中游

2024

中国沙漠
中国科学院寒区旱区环境与工程研究所

中国沙漠

CSTPCD北大核心
影响因子:1.504
ISSN:1000-694X
年,卷(期):2024.44(6)