Journal of Geographical Sciences >
Spatial pattern evolution and driving factors of urban green technology innovation in China
Li Ying (1993-), PhD Candidate, specialized in economic geography and portfolio selection. E-mail: liying2019@m.scnu.edu.cn |
Received date: 2023-05-31
Accepted date: 2023-11-17
Online published: 2024-02-06
Supported by
National Natural Science Foundation of China(42171172)
Natural Science Foundation of Guangdong Province(2021A1515012248)
Major Program of the National Social Science Fund of China(21ZDA011)
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 capitals, 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 explanatory power in understanding the differences in GTI.
LI Ying , FANG Yuanping , MENG Qinggang . Spatial pattern evolution and driving factors of urban green technology innovation in China[J]. Journal of Geographical Sciences, 2024 , 34(2) : 289 -308 . DOI: 10.1007/s11442-024-2205-3
Figure 1 Spatial distribution of green technology innovation in China |
Figure 2 Change trend of Moran’s I index of green technology innovation in China from 2006 to 2020 |
Figure 3 Spatial distribution pattern of hot and cold spots of green technology innovation in China |
Figure 4 Center of gravity - Standard deviation ellipse of green technology innovation in China |
Table 1 Center of gravity - Standard deviation ellipse parameters of green technology innovation in China |
Year | 2006 | 2010 | 2015 | 2020 |
---|---|---|---|---|
Center of gravity coordinates | 115.486°E | 115.059°E | 114.877°E | 114.853°E |
33.446°N | 32.967°N | 32.815°N | 32.783°N | |
Center of gravity city | Zhoukou | Zhumadian | Zhumadian | Zhumadian |
Movement direction | — | Southwest | Southwest | Northeast |
Moving distance (km) | — | 71.212 | 26.353 | 4.441 |
Movement speed (km/year) | — | 17.803 | 5.271 | 0.888 |
Short semi-axis (km) | 674.534 | 694.942 | 689.058 | 687.773 |
Long semi-axis (km) | 1096.13 | 1064.213 | 1082.258 | 1072.757 |
Azimuth (°C) | 24.937 | 22.819 | 24.563 | 23.026 |
Elliptical area ratio | 1 | 1 | 1.009 | 0.998 |
Figure 5 Mechanisms of drivers of differences in green technology innovation in Chinese cities |
Table 2 Determinants of China’s GTI differentiation detection factors |
Year Detection factors | 2006 | 2020 | 2006-2010 | 2011-2015 | 2016-2020 | |||||
---|---|---|---|---|---|---|---|---|---|---|
q | Seq | q | Seq | q | Seq | q | Seq | q | Seq | |
Er | 0.022 | - | 0.034** | 5 | 0.032*** | 5 | 0.017*** | 6 | 0.017*** | 5 |
(0.195) | (0.057) | (0.000) | (0.000) | (0.000) | ||||||
Eco | 0.413*** | 1 | 0.470*** | 1 | 0.361*** | 1 | 0.301*** | 2 | 0.426*** | 1 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | ||||||
Fin | 0.289*** | 2 | 0.231*** | 4 | 0.301*** | 2 | 0.316*** | 1 | 0.141*** | 4 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | ||||||
Ind | 0.003 | - | 0.016 | - | 0.024*** | 6 | 0.091*** | 5 | 0.011 | - |
(0.949) | (0.720) | (0.000) | (0.000) | (0.128) | ||||||
Fis | 0.094 | - | 0.270*** | 3 | 0.228*** | 3 | 0.179*** | 4 | 0.259*** | 3 |
(0.451) | (0.000) | (0.000) | (0.000) | (0.000) | ||||||
Gov | 0.134*** | 3 | 0.386*** | 2 | 0.199*** | 4 | 0.228*** | 3 | 0.304*** | 2 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) |
Note: P-values are in parentheses, *** and ** indicate passing the significance level test of 0.01 and 0.05, respectively. |
Figure 6 Detection results for the interaction among driving factors for green technology innovation in China |
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