基于组合赋权视角下山东省区域农业竞争力研究

摘 要：[目的]通过分析山东省2013年—2019年的数据,对山东省内16个地级市的农业竞争力进行分析研究,为山东省整体农业竞争力进一步提升提出建议。[方法]建立山东省区域农业竞争力指标体系,采用三种客观赋权方法进行单一赋权同时构建组合赋权模型,对山东省各地级市农业竞争力进行综合分析和评价,并根据组合权重得分进行排序。[结果]（1）渔业总产值、单位面积农机总动力和地方财政能力是影响山东省区域农业竞争力的重要指标因素。（2）山东省区域农业竞争力发展呈现“M”曲线先升再降,整体水平呈现上升趋势具备较大的发展潜力。（3）山东省各个城市之间农业竞争力存在较大的梯度差异,水平较高地区集中于沿海及半岛地区,水平较低的基本处于省边际地区。[建议] 进一步优化渔业产业结构,强化渔业技术创新、加大农业科技投入力度和加强地方财政能力建设。

Study on regional agricultural competitiveness of Shandong Province from the perspective of combination weighting

Abstract: [Objective] Through analyzing the data of shandong province from 2013 to 2019, the agricultural competitiveness of 16 prefecture-level cities in Shandong province was analyzed and studied, and suggestions were put forward for further improving the overall agricultural competitiveness of Shandong Province. [Methods] The index system of regional agricultural competitiveness in Shandong province was established. Three objective weighting methods were used for single weighting and combined weighting model was constructed. The agricultural competitiveness of prefecture-level cities in Shandong province was comprehensively analyzed and evaluated, and ranked according to the combined weight score. [Results] (1) Total output value of fishery, total power of agricultural machinery per unit area and local financial capacity are important index factors affecting regional agricultural competitiveness in Shandong Province. (2) The development of regional agricultural competitiveness in Shandong province showed a "M" curve, rising first and then falling, and the overall level showed a rising trend with great development potential. (3) There is a great gradient difference in agricultural competitiveness among cities in Shandong Province. The areas with higher agricultural competitiveness are concentrated in coastal and peninsula areas, while the areas with lower agricultural competitiveness are located in provincial marginal areas. [Suggestion] Further optimize fishery industry structure, strengthen fishery technology innovation, increase agricultural science and technology investment and strengthen local financial capacity construction.