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中国城市绿色创新的时空演变及其影响因素。

The spatiotemporal evolution and influencing factors of urban green innovation in China.

机构信息

College of Geography and Environment, Shandong Normal University, Jinan 250358, China; Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250358, China.

College of Geography and Environment, Shandong Normal University, Jinan 250358, China.

出版信息

Sci Total Environ. 2023 Jan 20;857(Pt 1):159426. doi: 10.1016/j.scitotenv.2022.159426. Epub 2022 Oct 13.

DOI:10.1016/j.scitotenv.2022.159426
PMID:36244483
Abstract

Green innovation (GI) is an important way to build an ecological civilization and an innovative country. The study on urban green innovation (UGI) is of great significance for enriching the research on GI and rationally formulating high-quality urban development policies. The green patent data obtained using a web crawler was used to represent the level of UGI. The spatiotemporal evolution and influencing factors of UGI in China were analyzed by standard deviation ellipses, spatial autocorrelation, and Geodetector. The research shows that: From 2005 to 2020, the level of UGI in China tended to rise rapidly. The center of gravity of UGI in China was located in the southeast of China's geometric center and tended to move to the south and west. The standard deviation ellipse was distributed in a "northeast-southwest" pattern, the area was gradually shrinking, and the length of the two semi-axes was shortening. UGI in China showed obvious global and local spatial autocorrelations. The degree of global spatial autocorrelation was gradually increasing. Among the types of local spatial autocorrelation, the largest number of low-low agglomeration cities was mainly located in the northwest and southwest part of China, while high-high agglomeration cities were distributed in Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta. The government intervention expressed by the proportion of scientific and technological expenditure in fiscal expenditure and environmental regulation is the dominant factor affecting UGI.

摘要

绿色创新(GI)是建设生态文明和创新型国家的重要途径。城市绿色创新(UGI)的研究对于丰富 GI 的研究和合理制定高质量的城市发展政策具有重要意义。使用网络爬虫获取的绿色专利数据代表了 UGI 的水平。通过标准差椭圆、空间自相关和地理探测器分析了中国 UGI 的时空演变及其影响因素。研究表明:2005 年至 2020 年,中国 UGI 的水平呈快速上升趋势。中国 UGI 的重心位于中国几何中心的东南部,并趋于向西南方向移动。标准差椭圆呈“东北-西南”分布,面积逐渐缩小,两半轴长度缩短。中国 UGI 呈现出明显的全局和局部空间自相关。全局空间自相关程度逐渐增强。在局部空间自相关类型中,低-低集聚城市的数量最多,主要分布在中国的西北和西南部,而高-高集聚城市则分布在北京-天津-河北、长江三角洲和珠江三角洲。以财政支出中科技支出占比和环境规制来表示的政府干预是影响 UGI 的主导因素。

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