Quantitative Evaluation of High-quality Grain Project Policy Based on PMC Index Model

The high-quality grain project serves as the most direct and effective approach to promote the high-quality development of grain industry. This paper constructs a three-dimensional analysis framework of “policy subject-policy instrument-policy effectiveness”, and comprehensively applies methods such as bibliometric analysis, content analysis, PMC index model and other research methods to conduct quantitative evaluation of 56 high-quality grain project policies from 2017 to 2023. The findings are as follows: 1) The primary entities of the policy have gradually established a trend of "focusing on the central and local food departments and cooperating with multiple departments". 2) The use of high-quality grain project policy tools is relatively coordinated, and the overall preference pattern is "supply > environment > demand". 3) The average score of PMC index score for 10 representative policy contents is 6.56 indicatinggood overall performance, however there remains room for improvement in areas such as safeguard measures. Based on this, the policy optimization suggestions are put forward.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
DOI
https://doi.org/10.16210/j.cnki.1007-7561.2025.03.018
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Evaluation of High-quality Grain Project Policy Based on PMC Index Model

SHILAP Revista de lepidopterología
Advanced Technologies in Various Fields
article

Quantitative Evaluation of High-quality Grain Project Policy Based on PMC Index Model

article en

Abstract

The high-quality grain project serves as the most direct and effective approach to promote the high-quality development of grain industry. This paper constructs a three-dimensional analysis framework of “policy subject-policy instrument-policy effectiveness”, and comprehensively applies methods such as bibliometric analysis, content analysis, PMC index model and other research methods to conduct quantitative evaluation of 56 high-quality grain project policies from 2017 to 2023. The findings are as follows: 1) The primary entities of the policy have gradually established a trend of "focusing on the central and local food departments and cooperating with multiple departments". 2) The use of high-quality grain project policy tools is relatively coordinated, and the overall preference pattern is "supply > environment > demand". 3) The average score of PMC index score for 10 representative policy contents is 6.56 indicatinggood overall performance, however there remains room for improvement in areas such as safeguard measures. Based on this, the policy optimization suggestions are put forward.

SHILAP Revista de lepidopterología
Northeast Agricultural University (CN)
Openalex Percentile: Top 77%
Advanced Technologies in Various Fields
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.