广东省农业科技园区的空间格局特征及影响因素

Research on spatial pattern characteristics and influencing factors of agricultural science and technology parks in Guangdong Province

关键词:  农业科技园区  泰森多边形  重心迁移  协同发展  广东省

Key words:  agricultural science and technology parks  Thiessen polygon  center of gravity transfer  collaborative development  Guangdong Province

摘要:

【目的】科学评估农业科技园区的建设历程与布局状况，以此探析区域农业集聚发展潜力与影响因素。【方法】以广东省各层级农业科技园区为对象，综合运用空间修正引力模型、标准差椭圆工具和灰色关联分析等方法，探究园区发展历程、空间布局与影响因素。【结果】（1）广东省农业科技园区总体呈现多点式的集聚特征，珠三角地区和粤东地区分布相对较为密集；各阶段椭圆的倾角方向与行政区划的形状特征基本一致，表明目前农业科技园区的整体布局相对合理，但粤西南地区农业科技园区的覆盖密度仍相对较低。（2）依据农业科技园区的网络化协同潜力，可将全省划分为都市农业发展圈、山区立体农业发展圈、陆海联动农业发展圈和热带特色农业发展圈等核心圈层。（3）耕地面积占比和主干河网密度等水土因素是农业科技园区格局特征形成的重要影响指标，其灰色关联指数分别达到0.85和0.93。同时经济水平和科技创新能力等与农业科技园区的集聚也存在高度关联，两者灰色关联系数分别为0.82和0.73，但整体低于自然环境因素指标。【结论】加速农业科技园区整合式布局，可以有效支撑粮食主销区农业的高质量发展转型；未来需结合地方现实需求与基础条件状态等，进一步优化园区的宏观规划与微观选址。

Abstract:

Abstract: ［Purpose］This study aims to scientifically evaluate the development process and spatial distribution of agricultural science and technology parks (ASTPs) in Guangdong Province, thereby exploring the potential and influencing factors of regional agricultural agglomeration.［Method］Taking multi-level ASTPs in Guangdong as the research subject, this paper employs a spatially modified gravity model, standard deviation ellipse (SDE) analysis, and grey relational analysis (GRA) to examine their developmental trajectory, spatial layout, and key determinants.［Result］The findings are summarized as follows: (1) ASTPs in Guangdong generally exhibit a multi-nodal agglomeration pattern, with relatively dense distributions in the Pearl River Delta and eastern Guangdong. The inclination angles of the SDEs align closely with the shape characteristics of administrative divisions, indicating a relatively rational overall layout. However, coverage density remains comparatively low in the southwestern Guangdong. (2) Based on their networked collaborative potential, the province can be categorized into distinct core zones with varying characteristics: metropolitan agricultural development zones, mountainous three-dimensional agricultural development zones, land-sea synergistic agricultural development zones, and tropical specialty agricultural development zones. (3) Land-water factors—such as the proportion of arable land and the density of major river networks—are critical determinants shaping ASTP distribution patterns, with grey relational indices reaching 0.85 and 0.93, respectively. Meanwhile, economic development and technological innovation capacity also show significant correlations (grey relational coefficients of 0.82 and 0.73), though their influence remains secondary to natural environmental factors.［Conclusion］Accelerating the integrated spatial planning of ASTPs in Guangdong can effectively support high-quality agricultural transformation in major grain-consuming regions. Future efforts should optimize macro-level planning and micro-level site selection by aligning them with local demands and foundational conditions.