基于DEA模型的寿光蔬菜产业集群协同效率与资源整合研究

Research on Collaborative Efficiency and Resource Integration of Shouguang Vegetable Industry Cluster Based on DEA Model

摘要: 在农业现代化加速背景下，产业集群成为推动区域经济高质量发展的关键。寿光蔬菜产业集群虽成绩显著，但内部资源整合效率量化评估尚有空缺。本研究基于数据包络分析(DEA)模型，深入探究寿光蔬菜产业集群协同效率与资源优化路径。研究内容包括模型构建、指标设计、数据收集与预处理，以及通过三阶段DEA模型进行效率测算与结果分析，同时量化协同效应并动态分析全要素生产率变化。研究发现，寿光蔬菜产业集群在产业链构建等方面成效显著，但流通组织效率相对较低，技术进步是效率增长的核心驱动力。本研究丰富了农业产业集群效率评价理论体系，为全国农业产业集群发展提供了理论支持与实践参考，有助于推动其向更高水平、更高质量发展，助力乡村振兴与城乡均衡发展。

Abstract: In the context of accelerating agricultural modernization, industrial clusters have become the key to promoting the high-quality development of regional economy. Although the Shouguang vegetable industry cluster has made remarkable achievements, there is still a gap in the quantitative evaluation of internal resource integration efficiency. Based on the Data Envelopment Analysis (DEA) model, this study deeply explored the collaborative efficiency and resource optimization path of Shouguang vegetable industry cluster. The research includes model construction, index design, data collection and pre-processing, efficiency measurement and result analysis through a three-stage DEA model, while quantifying synergies and dynamically analyzing total factor productivity changes. The study found that the Shouguang vegetable industry cluster has achieved remarkable results in the construction of the industrial chain, but the efficiency of circulation organization is relatively low, and technological progress is the core driving force of efficiency growth. This study enriches the theoretical system of efficiency evaluation of agricultural industrial clusters, provides theoretical support and practical reference for the development of agricultural industrial clusters in China, helps to promote their development to a higher level and higher quality, and contributes to rural revitalization and balanced urban-rural development.