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粮食安全政策量化评价及优化:基于PMC指数模型

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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.
Quantitative Evaluation and Optimization of Food Security Policies:Based on PMC Index Model
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,fur-ther 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 bal-ance of policy effects.

food securitypolicy evaluationPMC indextext miningindex system construction

彭新锋、田富俊

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福建农林大学 公共管理与法学院,福建 福州 350002

粮食安全 政策评价 PMC指数 文本挖掘 指标体系构建

福建省社科研究基地重大项目

FJ2022MJDZ021

2024

武汉理工大学学报(信息与管理工程版)
武汉理工大学

武汉理工大学学报(信息与管理工程版)

CSTPCD
影响因子:0.37
ISSN:2095-3852
年,卷(期):2024.46(4)