中国生态农业学报（中英文）2026，Vol.34Issue(6)：1375-1389,15.DOI:10.12357/cjea.20250430
基于熵权-TOPSIS法的农业新质生产力评价与障碍分析
Evaluation and obstacle analysis of new quality productive forces in agriculture based on entropy weight-TOPSIS method
摘要
Abstract
Agricultural productivity represents the most traditional,fundamental,and yet vulnerable component of social productivity.Therefore,agriculture is also the field with the most arduous tasks and the broadest prospects for developing new quality productive forces.To explore the level of development of new quality productive forces in agriculture,this study constructed an evaluation index system from three dimensions:a high-caliber workforce,technology-intensive means of production,and diverse subjects of labor.Using inter-provincial panel data from 2013 to 2022,we measured the new quality productive forces in agriculture and analyzed their spatiotemporal characteristics and obstacles.The findings are as follows:1)The level of development of new quality productive forces in agriculture showed an overall increasing trend nationwide,with an average annual growth rate of 3.26％.However,the overall levels remained relatively low,ranging from 0.12 and 0.18.Regionally,the level of development consistently followed the pattern of eastern China＞central China＞northeastern China＞western China.2)From 2013 to 2022,regional disparities within each area gradually widened,with notable polarization in western and northeastern China.There was a positive spatial correlation among the provinces(autonomous regions and municipalities),indicating strong spatial clustering.3)The primary factors influencing the development of new quality productive forces in agriculture were,in descending order,level of industrial integration,mechanization,digitization,and level of rural education.Based on these findings,the following policy implications were proposed:strengthening data monitoring and evaluation mechanisms,formulating differentiated regional development policies,supporting the development of agricultural and rural industrial clusters,and promoting the coordinated advancement of agricultural technological innovation and talent cultivation.关键词
农业新质生产力/熵权-TOPSIS法/Kernel密度估计/障碍因子识别Key words
new quality productive forces in agriculture/entropy weight-TOPSIS method/Kernel density estimation/barrier factor identification分类
管理科学引用本文复制引用
黄和平,许梦园,甘仙女..基于熵权-TOPSIS法的农业新质生产力评价与障碍分析[J].中国生态农业学报（中英文）,2026,34(6):1375-1389,15.基金项目
国家社会科学基金项目(2023BJY090)和国家自然科学基金项目(42201294)资助 The study was supported by the National Social Science Fund of China(2023BJY090),and the National Natural Science Foundation of China(42201294). （2023BJY090）
