基于省际面板数据的Translog-SFA分析规模生猪养殖技术效率  

Large-scale Pig-breeding Technology Achieving the Optimal Efficiency based on Translog-SFA Analysis of Provincial Panel Data

作　　者：周杨[1] 郝庆升[1] ZHOU Yang;HAO Qingsheng(Economic Management College,Jilin Agricultural University,Jilin Changchun 130118)

机构地区：[1]吉林农业大学经济与管理学院,吉林长春130118

出　　处：《家畜生态学报》2018年第9期62-66,82,共6页Journal of Domestic Animal Ecology

基　　金：吉林省科技厅科技发展计划项目(20160418089FG)

摘　　要：文章基于我国25个省市2006～2015年的大规模生猪养殖的省际面板数据,建立超越对数随机前沿模型,经过极大似然比估计与t检验,研究了中国大规模生猪养殖技术效率。结果表明,我国大规模生猪养殖技术效率还未达到最优,技术创新与进步对于增加大规模生猪总产值更为显著。提高当地经济水平、农业发展水平以及道路运输条件对大规模生猪养殖技术效率的提升有积极影响。Based on 25 provincial panel data of large-scale pig farms during 2006-2015,the paper studied the technological efficiency of large-scale pig farming in China by establishing a transcendental logarithmic stochastic frontier model and through maximum likelihood ratio estimation and T test.The results show that the efficiency of large-scale pig breeding in China has not yet reached the optimal level,and technological innovation and progress are more significant for increasing the total output value of large-scale pigs.Raising the local economic level,the level of agricultural development and the conditions of road transport have a positive impact on the efficiency of large-scale pig farming techniques.

关 键 词：规模生猪养殖 技术效率 效率损失 超越对数随机前沿模型 

分 类 号：S811.5[农业科学—畜牧学]