粮食安全政策量化评价及优化:基于PMC指数模型  

Quantitative Evaluation and Optimization of Food Security Policies:Based on PMC Index Model

作　　者：彭新锋 田富俊[1] PENG Xinfeng;TIAN Fujun(School of Public Administration and Law,Fujian Agriculture and Forestry University,Fuzhou 350002,China;不详)

机构地区：[1]福建农林大学公共管理与法学院,福建福州350002

出　　处：《武汉理工大学学报（信息与管理工程版）》2024年第4期658-664,676,共8页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：福建省社科研究基地重大项目(FJ2022MJDZ021).

摘　　要：针对粮食安全政策的量化评价及优化问题,以粮食安全政策为研究对象,通过文本挖掘法构建PMC指数模型,并利用PMC指数和曲面对筛选出的10项政策文本进行实证分析。结果表明:我国粮食安全政策整体质量较高,10项政策中2项为优秀、5项为良好、3项为合格,但在政策时效、政策领域和政策视角等方面仍需进一步优化;并据此提出加强政策制定的连贯性、拓宽政策实施的适用范围、提升政策效应的均衡性等建议。Aiming at the quantitative evaluation and optimization of food security policy,this paper took food security policy as the research object,constructed the PMC index model through text mining method,and used the PMC index and surface to make an empirical analysis of the selected 10 policy texts.The results indicate that the overall quality of China′s food security policies is relatively high,with two of the 10 policies being excellent,five being good,and three being qualified.However,further optimization is still needed in terms of policy effectiveness,policy areas,and policy perspectives.Based on this,suggestions are proposed to strengthen the coherence of policy formulation,expand the scope of policy implementation and improve the balance of policy effects.

关 键 词：粮食安全 政策评价 PMC指数 文本挖掘 指标体系构建 

分 类 号：G353.1[文化科学—情报学] F320.1[经济管理—产业经济]