摘要
农业现代化政策是推进农业现代化的“顶层设计”,粮食主产区作为农业发达地区,其政策制定是否科学合理将直接影响我国农业强国建设。本文以随机抽样得出的粮食主产区农业现代化政策为研究对象,将文本挖掘与PMC指数模型相结合,对其进行量化评价。结果显示,在政策样本中,有2项政策达到完美等级,5项政策表现良好,只有1项政策处于良好水平以下,这说明粮食主产区各省、市的农业现代化政策制定较为科学合理,但仍有一定改进空间。具体而言,各项政策在政策内容、政策措施和政策功能三方面表现较好,政策时效和政策涉及部门是政策优化需要关注的重点。
The agricultural modernization policy is a"top-level design"to promote agricultural modernization.As a developed agricultural area,the main grain-producing area,whether its policy formulation is scientific and reasonable will directly affect the construction of China's agricultural power.This paper takes the agricultural modernization policy of the main grain-producing area derived from random sampling as the research object,and combines text mining with the PMC index model to quantitatively evaluate it.The results show that in the policy sample,two policies have reached the perfect level,five policies have performed well,and only one policy is below the good level,which shows that the formulation of agricultural modernization policies in provinces and cities in the main grain-producing areas is relatively scientific and reasonable,but there is still some room for improvement.Specifically,various policies perform well in policy content,policy measures and policy functions.Policy timeliness and policy-related departments are the focus of policy optimization.
作者
李超然
卢智增
LI Chaoran;LU Zhizeng(School of Public Administration,Guilin University of Technology Guilin,Guangxi 541004)
出处
《现代农业研究》
2024年第12期91-98,共8页
Modern Agriculture Research
基金
国家社会科学基金项目“数智赋能西南民族地区生态保护修复监管的机制与路径研究”(项目编号:24BMZ055)。
关键词
粮食主产区
农业现代化
PMC指数
文本挖掘
main grain production areas
agricultural modernization
PMC index
text mining