摘要
基于粤港澳大湾区35 个县(市、区)的面板数据,在解释县域城乡融合发展的内涵特征的基础上,利用熵值加权综合指数法、K-Means聚类法和空间计量模型,分析2010 年、2015 年和2021 年粤港澳大湾区县域城乡融合发展水平的动态演进趋势和影响因素.结果表明:粤港澳大湾区县域城乡融合水平总体上呈小幅度上升趋势,但层级性与不均衡性特征显著,珠江口东岸县域城乡融合发展水平明显高于珠江口西岸.财政支出分权、财政支农支出、产业结构高级化对县域城乡融合发展有促进作用,财政城乡公共服务支出、金融效率和产业结构合理化则表现为抑制作用.据此提出加强新型城镇化和乡村振兴的战略耦合、注重整体推进与因地制宜、完善财政投入体制机制、强化产业发展与城乡融合的协同互促的对策建议.
Abstract
Based on the panel data of 35 counties(cities and districts)in the Guangdong-Hong Kong-Macao Greater Bay Area,the entropy-weighted composite index method,K-Means clustering method and spatial economet-ric model were used to analyse the dynamic evolution trend and influencing factors of the level of urban-rural inte-gration development in county level in 2010,2015 and 2021 on the basis of explaining the connotative characteris-tics of urban-rural integration development in county level.The results showed that the level of urban-rural integra-tion in the counties of the Guangdong-Hong Kong-Macao Greater Bay Area generally showed a small upward trend,but the characteristics of stratification and unevenness were significant,with the level of urban-rural integration de-velopment in the counties on the east bank of the Pearl River Estuary being significantly higher than that on the west bank of the Pearl River Estuary.In terms of influencing factors,fiscal expenditure decentralisation,fiscal expendi-ture on agriculture and advanced industrial structure had a facilitating effect on the development of urban-rural inte-gration in the county,while fiscal urban-rural public service expenditure,financial efficiency and rationalisation of industrial structure showed an inhibiting effect.Based on the results of the study,countermeasures are proposed to strengthen the strategic coupling of new urbanization and rural revitalization,focus on overall promotion and local adaptation,improve the institutional mechanism of financial investment,and strengthen the synergy and mutual pro-motion of industrial development and urban-rural integration.
基金项目
广东省研究生教育创新项目(2023ANLK048)
广东海洋大学研究生教育创新项目(2021015)
广东海洋大学教育教学创新改革项目(PX-2721362)
湖南省研究生科研创新立项项目(QL20220168)
NETL
NSTL
维普
万方数据