基于PMC指数模型的高标准农田建设政策量化评价研究
收稿日期: 2025-07-07
录用日期: 2025-08-18
网络出版日期: 2026-06-26
基金资助
国家社会科学基金项目(19XGJ012);2024年新疆维吾尔自治区教育科学规划(PEN2024015)
Research on Quantitative Evaluation of High Standard Farmland Construction Policy Based on PMC Index Modeling
Received date: 2025-07-07
Accepted date: 2025-08-18
Online published: 2026-06-26
本研究聚焦高标准农田建设政策,采用PMC指数模型为研究方法构建政策评价框架,旨在为农业土地资源管理的持续优化提供理论依据与实践指导。研究首先对政策文本进行语义分析与结构化建模,通过提取政策关键词,并结合社会网络分析法构建关键词共现矩阵,最终形成包含10个维度(如政策工具、实施效果、受体覆盖等)和49个细分指标的多层次评价体系。在实证环节,研究选取东北黑土区、华东平原区和中部丘陵区三大典型农业带的10项高标准农田政策样本,开展区域差异化比较研究。通过计算综合绩效指数和构建三维政策评价矩阵,系统识别了不同政策方案在实施效率、覆盖面和可持续性等方面的显著特征。研究认为,现行政策体系在目标协同和执行保障方面运行良好,能够有效促进高标准农田建设,但在动态适应机制建设方面仍有改进空间。因此,本文提出了四方面的优化路径:一是制定政策弹性适应机制,提高农业生产技术变革的响应速度;二是制定分步目标体系,编制高标准农田政策专项技术路线图;三是完善差异化激励机制,制定激励约束标准。四是强化政策重点、明确政策目标,通过扩大调控手段、明确实施细则来提高政策的影响力。本文创新性地将PMC指数模型引入到高标准农田建设政策中,构建高标准农田政策评价指标体系,对10项高标准农田建设政策文件进行量化评价、分析并开展区域差异化比较研究。未来,研究还需针对政策执行效果展开深入探讨。
杨永亮 , 旦志红 , 王忠豪 , 邵泽峰 . 基于PMC指数模型的高标准农田建设政策量化评价研究[J]. 农业大数据学报, 2026 , 8(2) : 245 -257 . DOI: 10.19788/j.issn.2096-6369.000122
This study focuses on the policy of high-standard farmland construction and adopts the PMC index model as the research method to construct a policy evaluation framework, aiming to provide a theoretical basis and practical guidance for the continuous optimization of agricultural land resource management. The study first conducts semantic analysis and structural modeling of the policy text, and by extracting the policy keywords and constructing the keyword co-occurrence matrix combined with the social network analysis method, it finally forms a multilevel evaluation system containing 10 dimensions and 49 subdivided indicators. In the empirical link, the study selects 10 samples of high-standard farmland policies in three typical agricultural belts, namely, the Northeast Black Soil Area, the East China Plain Area and the Central Hilly Area, to carry out a comparative study of regional differentiation. By calculating the comprehensive performance index and constructing a three-dimensional policy evaluation matrix, the significant features of different policy programs in terms of implementation efficiency, coverage and sustainability are systematically identified. The results of the study concluded that the current policy system works well in terms of target synergy and implementation guarantee, and can effectively promote the construction of high-standard farmland, but there is still room for improvement in terms of the construction of dynamic adaptation mechanisms. Therefore, this paper proposes a four-pronged optimization path: first, to formulate a policy flexible adaptation mechanism to improve the response speed of technological changes in agricultural production; second, to formulate a step-by-step target system and prepare a special technology roadmap for high-standard farmland policy; third, to improve the differentiated incentive mechanism and formulate detailed incentive and constraint standards; fourthly, it will strengthen the focus of the policy, clarify the policy objectives, and increase the impact of the policy by expanding the means of regulation and clarifying the rules of implementation. This paper innovatively incorporates the PMC index model into the policy for constructing high-standard farmland, establishing a policy evaluation index system. It quantitatively evaluates, analyzes, and conducts a regional comparative study of 10 policy documents related to high-standard farmland construction. Future research should further explore the effectiveness of these policies.
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