首页|Spatial pattern evolution and driving factors of urban green technology innovation in China

Spatial pattern evolution and driving factors of urban green technology innovation in China

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This study uses green patent data from 264 cities in China between 2006 and 2020 to examine the evolution of spatial patterns in urban green technology innovation(GTI)across the country and identify the underlying driving factors.Moran's I index,Getis-Ord Gi*index,standard deviation ellipse,and geographical detector were used for the analysis.The findings indicate an increase in the overall level of GTI within Chinese cities.Provincial capi-tals,cities along the eastern coast,and planned cities emerge as the prominent"highlands"of GTI,whereas the"lowlands"of GTI predominantly lie in the western and northeastern regions,forming the spatial pattern of"hot in the east and center of the country,cold in the northwest and the northeast."The distribution center of gravity of GTI is toward the southwest of China.The distribution pattern is in the"northeast-southwest"direction,which is characterized by"diffusion,"followed by"agglomeration."Differences in economic development have the highest determining power on the spatial differentiation of GTI in Chinese cities,whereas differences in environmental regulation and industrial structure have the lowest degree of relative influence.The interaction between any two factors contributes to an amplified ex-planatory power in understanding the differences in GTI.

green technology innovationspatial patterndriving factorsgeographical detectorChinese city

LI Ying、FANG Yuanping、MENG Qinggang

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School of Economics and Management,South China Normal University,Guangzhou 510006,China

School of Geography,South China Normal University,Guangzhou 510006,China

School of Statistics and Mathematics,Shandong University of Finance and Economics,Jinan 250014,China

National Natural Science Foundation of ChinaNatural Science Foundation of Guangdong ProvinceMajor Program of the National Social Science Fund of China

421711722021A151501224821ZDA011

2024

地理学报(英文版)
中国地理学会,中国科学院地理科学与资源研究所

地理学报(英文版)

CSTPCD
影响因子:1.307
ISSN:1009-637X
年,卷(期):2024.34(2)
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