农业现代化研究2017，Vol.38Issue(5)：852-861,10.DOI:10.13872/j.1000-0275.2017.0088
中国奶业地理集中演化模式及其成因分析
Analysis the pattern and causes of geographical concentration change in China's dairy industry
摘要
Abstract
Based on a state-level panel data set of China's dairy industry from 1990 to 2015, and applying the dynamic panel model and the relative entropy method, this paper investigated the spatial distribution characteristics of China's dairy industry and analyzed the driving factors of it. Results show that: 1) since 1990, at the national level, the geographical concentration pattern of China's dairy industry has been observed as "diffusion". And at the regional level, both Central North China and Northwest China showed "diffusion" pattern. However, augmentation features were shown in metropolitan areas, Northeast and South China; 2) in 2011, the recession pattern first appeared at the national level, while the pattern of diffusion was maintained in the regions of Central North China, South China and metropolises; 3) in terms of the change of regional geographical concentration patterns, "attrition" pattern shifted orderly from "metropolitan areas to Central North, Northeast, and to Northwest China". Surprisingly, South China has enjoyed a consistent increase in cow inventories all the time since 1990; and 4) according to the econometric analysis results, regional feed supply, the one year lag of cow inventory and economic growth factors promote dairy cows clustering, while per cow productivity and the total population boost lead to the dispersion of cows.关键词
奶业地理集中模式/奶牛存栏/相对熵值/集聚/分散Key words
dairy geographical concentration pattern/cow inventory/relative entropy/clustering/dispersion分类
管理科学引用本文复制引用
道日娜,罗燕芳..中国奶业地理集中演化模式及其成因分析[J].农业现代化研究,2017,38(5):852-861,10.基金项目
国家自然科学基金(71563036) （71563036）
内蒙古自然科学基金(2014MS0702) （2014MS0702）
长江师范学院高层次人才引进科研启动项目(2017KYQD05). National Natural Science Foundation of China (71563036) （2017KYQD05）
Natural Science Foundation of Inner Mongolia (2014MS0702) （2014MS0702）
The high-level introduction of talent research start-up fund of Yangtze Normal University (2017KYQD05). （2017KYQD05）
