农林经济管理学报2026，Vol.25Issue(2)：236-247,12.DOI:10.16195/j.cnki.cn36-1328/f.2026.02.25
中国生猪产业高质量发展水平评价与区域协调发展研究
Evaluation of high-quality development level and regional coordinated development of China's hog industry
摘要
Abstract
Based on panel data covering 30 Chinese provinces from 2014 to 2022,this study employs the entropy weight-TOPSIS method to measure the high-quality development of the swine industry.The Dagum Gini coefficient,kernel density estimation,and convergence models are utilized to characterize spatiotemporal differentiation and examine convergence properties and spatial spillover effects.The results show that during 2014-2022,the high-quality development of China's swine industry followed a dynamic trajectory of"steady ascent-periodic fluctuation-significant decline-rapid recovery".Policy priorities throughout the study period concentrated primarily on the dimensions of"product safety"and"production regulation,"while provincial heterogeneity persisted in breeding management practices and development pathways.Regional disparities exhibited a fluctuating downward trend,yet regions with weak industrial foundations continue to face constraints in collaborative upgrading.Although spatial spillover effects exert inhibiting influence on the convergence speed,significant β-convergence is identified at the national level.Accordingly,policy recommendations are proposed including strengthening risk prevention,control,and emergency adjustment mechanisms,consolidating investments in green,low-carbon,and resource-conserving technologies,implementing regionally differentiated support policies and collaborative governance frameworks,and optimizing policy tracking,evaluation,and dynamic correction mechanisms to advance high-quality development in the swine industry.关键词
生猪产业/高质量发展/文本分析/熵权-TOPSIS法/收敛Key words
hog industry/high-quality development/text analysis/TOPSIS/convergence分类
管理科学引用本文复制引用
张海钊,宋春雨,周慧,胡向东..中国生猪产业高质量发展水平评价与区域协调发展研究[J].农林经济管理学报,2026,25(2):236-247,12.基金项目
国家自然科学基金重点项目(72033009)、中国农业科学院科技创新工程(10-IAED-01-2025)和国家重点研发计划(2023YFD1301905) （72033009）
