禁牧政策、养殖规模与技术效率——基于五省区绒毛用羊养殖户的微观研究
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  • 英文篇名:Grazing ban policy,breeding scale and technical efficiency:A case study of sheep farmers from five provinces
  • 作者:刘春鹏 ; 肖海峰
  • 英文作者:LIU Chun-peng;XIAO Hai-feng;College of Economics and Management,China Agricultural University;
  • 关键词:禁牧政策 ; 养殖规模 ; 技术效率 ; 门槛模型 ; SFA模型
  • 英文关键词:grazing ban policy;;breeding scale;;technical efficiency;;threshold model;;SFA model
  • 中文刊名:NXDH
  • 英文刊名:Research of Agricultural Modernization
  • 机构:中国农业大学经济管理学院;
  • 出版日期:2019-01-15
  • 出版单位:农业现代化研究
  • 年:2019
  • 期:v.40;No.230
  • 基金:国家现代农业产业技术体系资助项目(CARS-39-22)~~
  • 语种:中文;
  • 页:NXDH201901016
  • 页数:7
  • CN:01
  • ISSN:43-1132/S
  • 分类号:140-146
摘要
基于五省区绒毛用羊养殖户的微观调研数据,利用超越对数随机前沿生产函数模型,分析了禁牧政策对农牧户养殖技术效率的影响,进一步运用门槛模型探究了不同养殖规模下禁牧政策对农牧户养殖技术效率影响的异质性问题。研究结果表明:禁牧政策实施对农牧户养殖技术效率提升具有显著的正向作用,而且禁牧政策对农牧户养殖技术效率的影响会因养殖规模的不同而存在显著的门槛效应,即禁牧政策对小规模农牧户养殖技术效率的影响并不显著,而对大规模农牧户表现出显著的促进作用。与大规模农牧户相比,小规模农牧户养殖方式转变成本高、舍饲养殖资金不足、违规放牧行为不易被监管等因素可能是导致上述差异的主要原因。除此之外,养殖收入占比、家庭人口数量、加入养殖专业合作社、养殖方式、地区因素均对农牧户养殖技术效率具有显著影响。
        Based on a micro survey data of sheep farmers in five provinces,this paper applied a stochastic frontier production function model to analyze the effects of the grazing ban policy on the technical efficiency of sheep farms.In addition,this paper also adopted a threshold model to explore the heterogeneity of the impacts of the grazing ban policy on the farmer's farming technical efficiency under different farming scales.Results show that the implementation of the grazing ban policy had a significant positive effect on farmers' technology efficiency,and the effect had a significant threshold due to the different size of breeding scales.It meant that the grazing ban policy did not noticeably affect the technical efficiency of small-scale sheep farms,while it had a significant effect on large-scale sheep farms.Main reasons for the difference might be the high cost of the transformation,the lack of feeding funds,and the difficult supervision of illegal grazing management behaviors for small-scale sheep farms.In addition,the proportion of farming income,household size,joining farmer cooperatives,farming methods and regional factors also had significant impacts on technical efficiency.
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