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How Off-farm Employment Affects Technical Efficiency of China's Farms: The Case of Jiangsu

机译:非农就业如何影响中国农场的技术效率-以江苏省为例

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摘要

Using three-wave survey data for four villages of Jiangsu Province in China, the present paper examines whether and to what extent off-farm employment affects the technical efficiency of agricultural production. The level of technical efficiency is measured using a stochastic frontier production function approach. Based on estimation results from instrumental variable panel quantile regressions we find that there is a positive significant effect of off-farm employment on the level of farm technical efficiency. We also find that fragmentation of farmland is a barrier to the improvement of technical efficiency. In addition, we find a downward trend in the level of agricultural technical efficiency among our sample. Therefore, the Chinese Government should stimulate agricultural mechanization and the development of farming techniques to improve technical efficiency in the context of increasing off-farm employment.
机译:本文使用江苏省四个村庄的三波调查数据,考察了非农就业是否以及在多大程度上影响了农业生产的技术效率。使用随机前沿生产函数方法来衡量技术效率水平。基于工具变量面板分位数回归的估计结果,我们发现非农就业对农场技术效率水平具有积极的显着影响。我们还发现,农田分割是提高技术效率的障碍。此外,我们在样本中发现了农业技术效率水平的下降趋势。因此,中国政府应在增加非农就业的背景下,促进农业机械化和农业技术的发展,以提高技术效率。

著录项

  • 来源
    《China & World Economy》 |2016年第3期|37-51|共15页
  • 作者单位

    Center for Chinese Agricultural Policy, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China;

    Center for Chinese Agricultural Policy, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, China;

    Department of Economics and Business Economics, Aarhus University, Denmark;

    School of Advanced Agricultural Sciences, Peking University, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    off-farm employment; stochastic frontier analysis; technical efficiency;

    机译:非农就业;随机前沿分析;技术效率;

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