Quantitative Evaluation of China's High-Standard Farmland Construction Policy: A Novel Approach Using the PMC Index Model (2011–2024)

IF 4 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Xiong Zhang, Junyao Ming, Xianbo Cheng, Qiuyu Chen, Shenyu Hu, Weiyan Hu
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Abstract

China's high-standard farmland construction (HSFC) stands as a cornerstone in safeguarding national grain security and nurturing sustainable agricultural development. A quantitative evaluation of HSFC policies serves as a potent methodology for refining and enhancing the policy architecture. This paper selects 174 policy documents on HSFC issued by the State Council and various ministries and commissions of China from 2011 to 2024. Firstly, the ROSTCM 6.0 tool is utilized to perform text mining. Subsequently, based on the keywords extracted from the text mining, a PMC index evaluation model for HSFC policies is constructed to quantitatively evaluate these 174 policies. Furthermore, according to the characteristics of policy development, the process is divided into three stages, and an in-depth analysis is carried out on these three stages. The highlights of this article lie in the use of the PMC index model and the integration of policy stage analysis. The PMC index model can intuitively show the overall situation of the policy as well as the advantages and disadvantages of each policy, which meets the research needs of the HSFC policy. By studying the textual development process of HSFC policy, this article identifies that the PMC index for HSFC policies was rated as “good and perfect” during 2011–2024. PMC surfaces show different states at different policy stages, generally with ups and downs at the time of policy formulation, and gradually smoothing out thereafter. Based on the characteristics of the different stages of development of the policies, this paper puts forward corresponding recommendations for the optimization of the HSFC policies and other policies.

Abstract Image

中国高标准农田建设政策定量评价——基于PMC指数模型的新方法(2011-2024)
高标准农田建设是保障国家粮食安全和促进农业可持续发展的基石。HSFC政策的定量评估是完善和增强政策架构的有效方法。本文选取了2011年至2024年国务院和中国各部委发布的174份关于HSFC的政策文件。首先,利用ROSTCM 6.0工具进行文本挖掘。随后,基于文本挖掘提取的关键词,构建HSFC策略的PMC指标评价模型,对这174个策略进行定量评价。进一步,根据政策制定的特点,将政策制定过程分为三个阶段,并对这三个阶段进行了深入的分析。本文的亮点在于PMC指标模型的运用和政策阶段分析的结合。PMC指标模型可以直观地显示政策的总体情况以及各政策的优缺点,满足了HSFC政策的研究需要。通过研究高收入金融政策的文本发展过程,本文发现2011-2024年高收入金融政策的PMC指数被评为“良好”和“完善”。PMC曲面在不同的政策阶段呈现出不同的状态,一般在政策制定时起伏不定,政策制定后逐渐趋于平缓。根据政策发展不同阶段的特点,本文对HSFC政策和其他政策的优化提出了相应的建议。
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来源期刊
Food and Energy Security
Food and Energy Security Energy-Renewable Energy, Sustainability and the Environment
CiteScore
9.30
自引率
4.00%
发文量
76
审稿时长
19 weeks
期刊介绍: Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor. Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights. Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge. Examples of areas covered in Food and Energy Security include: • Agronomy • Biotechnological Approaches • Breeding & Genetics • Climate Change • Quality and Composition • Food Crops and Bioenergy Feedstocks • Developmental, Physiology and Biochemistry • Functional Genomics • Molecular Biology • Pest and Disease Management • Post Harvest Biology • Soil Science • Systems Biology
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