摘要
文章基于扩展的索洛模型、C-D生产函数、空间自相关Global Moran’s I指数、空间计量经济模型,运用2016年中国31个省份畜牧业统计数据,纳入空间效应因素,对中国省级区域畜牧业全要素生产率进行了测算。结果显示,空间统计与空间计量经济学模型在测算我国省域畜牧业全要素生产率中具有较好效果,畜牧业劳动力的产出弹性最高,我国畜牧业的增长方式还处于劳动力带动为主的阶段,劳动力、资本投入、牧具总动力是畜牧业产出增长的主动力。分省区来看,畜牧业全要素生产率最高为上海,最低为四川;分区域来看,东南区、黄土高原区、黄淮海区、东北区的畜牧业全要素生产率较高,五大牧区、西南山区畜牧业全要素生产率水平偏低。
Based on the extended Solo model,C-D production function,spatial autocorrelation Global Moran’s index and spatial econometric model,this paper calculates the total factor productivity of provincial animal husbandry in China by using the statistical data of animal husbandry in 31 provinces of China in 2016 and taking into account the spatial effect factors.The results show that spatial statistics and spatial econometrics model have good effects in measuring the total factor productivity of provincial animal husbandry in China;the output elasticity of animal husbandry labor force is the highest;the growth mode of animal husbandry in China is still in the stage of being driven by labor force;the total power of labor,capital investment and animal husbandry is the main power of animal husbandry output growth.Seen from the angle of provinces,Shanghai has the highest total factor productivity of animal husbandry and Sichuan Province,the lowest.Regionally,the total factor productivity of animal husbandry in southeast region,loess plateau area,Huanghe-Huaihe-Haihe area and northeast is higher,while that of the five major pastoral areas and southwest mountainous area is on the low side.
作者
杨春
朱增勇
刘治
Yang Chun;Zhu Zengyong;Liu Zhi(Institute of Agricultural Economics and Development,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Key Lab of Digital Agricultural Early Warning Technology,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Sino-German School,Shanxi University of Finance & Economics,Taiyuan 030001,China)
出处
《统计与决策》
CSSCI
北大核心
2019年第16期91-94,共4页
Statistics & Decision
基金
国家自然科学基金资助项目(71503251)
中国农业科学院基本科研业务费专项资金资助项目(161005201901-3-6
161005201903-12)
中国农业科学院科技创新工程项目(ASTIP-IAED-2019-01)
国家牧草产业技术体系专项资金资助项目(CARS-34-22)