高质量发展耦合协调时空格局演化及影响因素——以浙江省县域为例

综合运用耦合协调、空间关联分析和地理加权回归模型，对浙江省县域高质量发展耦合协调水平进行测度，进一步分析其空间演化特征及影响因素。结果表明：① 浙江省县域高质量发展整体上呈现出“东高西低、北高南低”的空间分异特征，高质量发展耦合空间格局以良好耦合为主，高质量发展协调水平以中级协调为主。② 高质量发展耦合协调空间结构呈现出向环杭州湾高度集聚态势，空间耦合冷热点区变化显著，空间演化路径以递次转移为主、跨级转移为辅，空间协调冷热点区分布格局比较稳定。③ 高质量协调发展影响因素具有明显地域特征，其作用强度自经济实力、集聚能力、政府财政支持和基础设施依次递减。

Spatial-temporal Pattern Evolution and Influencing Factors of High Quality Development Coupling Coordination: Case on Counties of Zhejiang Province

By using the entropy method, the mean square deviation weighting method, the coupling coordination model, the spatial correlation analysis method, and GWR model, the research studied the dynamic coupling coordination level, spatial-temporal pattern differentiation and influencing factors of the high quality development in counties of Zhejiang Province. It shows that over the past 10 years, the spatial differentiation of the high quality development in Zhejiang Province has shown the overall spatial characteristics of ‘high development in the east, low development in the west, high development in the north and low development in the south’; The coupling spatial pattern of high quality development is relatively stable, with good coupling as the main factor, and the coordination level of high quality development is relatively low, with intermediate coordination as the main factor, and the counties with high coupling and coordination are mainly concentrated in the area around Hangzhou Bay; The dynamic coupling and coordination spatial structure of high quality development of counties in Zhejiang Province shows a high agglomeration trend around Hangzhou Bay, with significant changes in the spatial coupling cold hot spots and spatial coordination cold hot spots, with evolution path dominated by successive transfer and supplemented by cross-level transfer, the distribution pattern is relatively stable. The influence factors of coordination of high quality development have obvious regional characteristics. The intensity of its influence factors decreases from economic strength, agglomeration capacity, government financial support and infrastructure in turn.