资源科学 ›› 2020, Vol. 42 ›› Issue (2): 274-285.doi: 10.18402/resci.2020.02.07

• 土地资源 • 上一篇    下一篇

贫困脆弱性视阈下的农地流转减贫效应

左孝凡, 陆继霞()   

  1. 中国农业大学人文与发展学院,北京 100193
  • 收稿日期:2019-07-08 修回日期:2019-10-28 出版日期:2020-02-25 发布日期:2020-04-25
  • 通讯作者: 陆继霞
  • 作者简介:左孝凡,男,安徽合肥人,博士研究生,研究方向为贫困、不平等与发展。E-mail: zuoxiaofan@vip.qq.com
  • 基金资助:
    国家社会科学基金项目(15BSH030);中华全国工商业联合会“‘万企帮万村’精准扶贫模式案例研究”项目

Effects of agricultural land transfer on rural poverty reduction from the perspective of poverty vulnerability

ZUO Xiaofan, LU Jixia()   

  1. College of Humanities and Development Studies, China Agricultural University, Beijing 100193, China
  • Received:2019-07-08 Revised:2019-10-28 Online:2020-02-25 Published:2020-04-25
  • Contact: LU Jixia

摘要:

农地流转是实现农业现代化和产业化、促进贫困户实现脱贫的重要路径,引导农地有序流转对进一步推进“精准扶贫”战略具有重要意义。基于2016年中国家庭追踪调查数据(CFPS),通过构建可行最小二乘法(FGLS)模型对中国农村居民贫困脆弱性进行测量,以农户未来陷入贫困风险为贫困的测量指标,运用倾向得分匹配(PSM)方法研究农地流转的减贫效应。研究发现:①在贫困脆弱性视阈下,分别以中国现行贫困标准和0.3贫困脆弱临界值标准,仍有22.3%农村居民群体处于贫困状态,西部地区和东北地区脆弱性水平分别为0.295和0.258,远高于东部和中部地区;②农地流转具有显著减贫效应,能够有效降低农村居民未来陷入贫困的风险,通过PSM方法消除“自选择”偏误后检验结果依然稳健;③农地流转的农业产值增长效应达0.573,农地流转可以通过提高家庭农业产值降低农村居民的贫困脆弱性。为此,提出了加强深度贫困区扶贫力度,提高深度贫困区居民自我发展能力;推进农地有序流转,培育适度规模经营主体等对策建议。

关键词: 农地流转, 精准扶贫, 贫困脆弱性, PSM方法, 中国

Abstract:

Based on the 2016 China Family Panel Studies (CFPS) data, this study measured the poverty vulnerability of Chinese rural residents by constructing a feasible least squares (FGLS) model, using farmers’ risk of poverty in the future as a measure of poverty, and using propensity score matching (PSM) method to study the poverty reduction effects of agricultural land transfer. The study found that, from the perspective of poverty vulnerability, using China’s current poverty standard and 0.3 as the threshold standard of poverty vulnerability, 22.3% of rural residents are still in poverty, and the vulnerability levels in the western and northeastern regions are 0.295 and 0.258, much higher than the eastern and central regions. Agricultural land transfer has a significant poverty reduction effect, which can effectively reduce the risk of rural residents falling into poverty in the future. The test results remain robust after eliminating the “self-selection” bias through the PSM method. The agricultural output value added of agricultural land transfer is 0.573, and agricultural land transfer can reduce the poverty vulnerability of rural residents by increasing the family agricultural output value. To this end, suggestions are put forward to strengthen poverty alleviation in deep poverty-stricken areas, improve the self-development ability of residents in these areas, promote the orderly transfer of agricultural land, and cultivate moderate-scale management entities.

Key words: agricultural land transfer, precision poverty alleviation, poverty vulnerability, PSM method, China