福建省预制菜产业空间形态与成因分析

Analysis on the Spatial Configuration and Causes of the Prepared Dishes Industries 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  With the support of the government, the industries of prepared dishes in Fujian Province have made full use of the advantages of infrastructure and location. Fujian Province has established a comprehensive industrial system for the prepared dishes, positioning itself at the forefront nationally. This makes Fujian an exemplary case for studying the development and evolution of the prepared dishes industries. In this paper, the spatial distribution pattern and formation mechanism of the prepared dishes industries in Fujian Province were systematically analyzed, in order to provide reference for optimizing the regional industrial layout and promoting the revitalization of rural industries.
    Methods/Procedures  The number of enterprises was used as an indicator of industrial scale of prepared dishes, and the spatial analysis and statistical methods were comprehensively used to reveal the spatial morphology and causes of the prepared dishes industries in Fujian Province.
    Results/Conclusions The results showed that: (1) The industries of prepared dishes in Fujian Province have formed the distinct spatial pattern characterized by the coastal belt-like agglomeration, inland point-like aggregation and an elongated distribution along the northeast-southwest axis. (2) On the whole, the industries of prepared dishes in Fujian Province presented a development pattern dominated by the large enterprises, with Southern Fujian serving as the absolute agglomeration area. (3) The analysis of OLS (Ordinary Least Squares) model and GWR (Geographically Weighted Regression) model showed that the logistics infrastructure, industrial foundations, foreign trade, and raw material output had significant positive driving effects on the industry scale of prepared dishes, among which the industrial foundations had the most significant impact. Conversely, the economic development level and labor force conditions showed significantly negative effects, particularly the regional economic development level. Furthermore, the impacts of these factors demonstrated pronounced spatial heterogeneity.

     

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