福建省预制菜产业空间形态与成因分析

Spatial Configuration and Driving Mechanisms of the Prepared Dishes Industry in Fujian Province

  • 摘要:
    目的/意义 福建省预制菜产业在政府支持下充分利用基础设施与区位优势,已构建完整产业体系,处于全国领先水平,是研究预制菜产业发展演化的典型样本。系统分析福建省预制菜产业的空间分布格局及其形成机制,为优化区域产业布局、推动乡村产业振兴提供参考。
    方法/过程 以企业数量表征预制菜产业规模,综合运用空间分析与统计方法,揭示福建省预制菜产业的空间形态及成因。
    结果/结论 结果表明:(1)福建省预制菜产业已形成沿海带状聚集、内陆点状聚集、东北—西南方向延伸的空间形态特征;(2)整体上看,福建省预制菜产业呈现以大型企业为主、以闽南地区为绝对聚集区的发展格局;(3)OLS模型与GWR模型分析显示,物流基础、工业基础、对外贸易、原料产量对预制菜产业规模产生显著的正向驱动作用,其中工业基础影响最为显著;经济水平与劳动力条件则产生显著的负向作用,尤以地区经济水平影响最为显著;各因素的影响存在显著空间异质性。

     

    Abstract:
    Objective/Meaning In recent years, China's prepared dishes industry has flourished as a novel business model integrating the primary, secondary, and tertiary industries to drive rural revitalization. Supported by government policies and leveraging robust infrastructure and locational advantages, Fujian Province has established a comprehensive industrial system for prepared dishes, positioning itself at the forefront nationally. This makes Fujian an exemplary case for studying the evolution of the prepared dishes industry.
    Methods/Procedures Using the number of enterprises as an indicator of industrial scale, this study employs spatial analysis and statistical methods to reveal the spatial morphology of Fujian's prepared dishes industry and its underlying drivers.
    Results/Conclusions The findings indicate:(1) The prepared dishes industry in Fujian exhibits a distinct spatial pattern characterized by coastal belt-like agglomeration, inland point-like clusters, and an elongated distribution along the northeast-southwest axis. (2) Overall, the industry demonstrates a development structure dominated by large enterprises, with Southern Fujian (Minnan region) serving as the absolute agglomeration core. (3) Analysis via OLS (Ordinary Least Squares) and GWR (Geographically Weighted Regression) models reveals that logistics infrastructure, industrial foundations, foreign trade, and raw material output exert significantly positive driving effects on industry scale, with industrial foundations being the most influential. Conversely, economic development level and labor force conditions show significantly negative effects, particularly regional economic development. Furthermore, the impacts of these factors demonstrate pronounced spatial heterogeneity.

     

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