首页|基于PMC指数模型的国家农高区政策量化评价研究

基于PMC指数模型的国家农高区政策量化评价研究

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为优化我国农高区政策体系,文章以 1997 年以来国家以及省域层面的 16 份国家农高区政策文本为研究对象,在采用NVivo 12 软件进行词频检索的基础上,通过PMC模型对 16 项政策文本进行量化评价.研究发现:16 项政策PMC指数均值为 7.36,总体处于优秀水平,其中,优秀等级政策 8 项,合格等级政策 8 项,表明国家农高区政策设计具有一定可行性,但仍有改进空间;将政策P4 与P16 进行对比,P4 着眼于全局统筹,P16 涵盖内容更加细致、全面.基于政策分析结果,提出以下建议:锚定农业强国建设目标,强化农高区长远发展规划;顺应科技和产业革命趋势,强化产业技术示范引领;探索引育结合的人才储备机制,持续引进战略复合型创新人才;推动科技金融体制创新,出台农高区财政金融扶持政策;着眼新质生产力发展需求,优化农高区公共服务政策.
Research on Quantitative Evaluation of National Nonggao District Policies Based on PMC Index Model
To optimize the policy system of China's agricultural and high-tech zones,this article takes 16 na-tional and provincial policy texts on agricultural and high-tech zones since 1997 as the research object.Based on the frequency search using NVivo 12 software,the PMC model is used to quantitatively evaluate the 16 pol-icy texts.Research has found that the average PMC index of 16 policies is 7.36,which is generally at an ex-cellent level.Among them,there are 8 excellent level policies and 8 qualified level policies,indicating that the policy design of the National Agricultural High tech Zone has certain feasibility,but there is still room for improvement;Comparing policy P4 with P16,P4 focuses on overall planning,while P16 covers more detailed and comprehensive content.Based on policy analysis results,the following suggestions are proposed:anchor the goal of building a strong agricultural country and strengthen the long-term development plan of agricultural high-tech areas;Adhere to the trend of technology and industrial revolution,strengthen the demonstration and leadership of industrial technology;Explore a talent reserve mechanism that combines education and talent de-velopment,and continuously introduce strategic and innovative talents;Promote innovation in the technology and finance system,and introduce financial support policies for the agricultural and high-tech zones;Focusing on the development needs of new quality productive forces,optimize public service policies in agricultural and high-tech areas.

National Nonggao districtPolicy of high agricultural districtQuantitative evaluation of policyPMC index model

陈丽雪、郭晓丽、何云峰

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山西农业大学公共管理学院,山西 晋中 030801

国家农高区 农高区政策 政策量化评价 PMC指数模型

山西农业大学"特""优"农业高质量发展科技支撑工程项目山西农业大学社会科学研究振兴振兴工程项目

TYGC24-742024YB-23

2024

辽宁农业科学
辽宁省农业科学院 辽宁省农学会

辽宁农业科学

CSTPCD
影响因子:0.376
ISSN:1002-1728
年,卷(期):2024.(5)
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