贵州财经大学学报 ›› 2023 ›› Issue (06): 100-109.

• 乡村振兴 • 上一篇    

产业扶贫合作社对农户农业全要素生产率的影响——基于乌蒙山和六盘山片区产业扶贫试点项目的准实验研究

汪三贵, 郭建兵, 李梦思   

  1. 中国人民大学 农业与农村发展学院/中国扶贫研究院, 北京 100872
  • 收稿日期:2023-05-31 发布日期:2023-12-02
  • 作者简介:汪三贵(1962-),男,湖南临澧人,中国人民大学农业与农村发展学院教授,博士生导师,中国人民大学中国扶贫研究院院长,研究方向为农村发展;郭建兵(1998-),男,河南林州人,中国人民大学农业与农村发展学院博士生,研究方向为农村发展;李梦思(1999-),女,河南固始人,中国人民大学农业与农村发展学院硕士生,研究方向为农村发展。
  • 基金资助:
    中国人民大学科学研究基金项目"中华人民共和国脱贫攻坚史研究——解析脱贫攻坚的历史演进与成效"(22XNLG07)。

The effect of industrial poverty alleviation cooperative on farmers’ total factor productivity of agriculture -A quasi-experimental study of industrial poverty alleviation pilot project in the Wumeng Mountain and Liupan Mountain Area

WANG Sangui, GUO Jianbing, Li Mengsi   

  1. School of Agricultural Economics and Rural Development/China Anti-Poverty Research Institute, Renmin University of China, Beijing 100872, China
  • Received:2023-05-31 Published:2023-12-02

摘要: 提升农业全要素生产率是新时期全面推进乡村振兴和加快建设农业强国的必由之路。基于乌蒙山和六盘山片区产业扶贫试点准实验研究项目,利用3省7县807户两期微观农户面板数据,解决潜在内生性问题,运用双重差分模型(DID)分析了产业扶贫合作社对农户农业全要素生产率的影响。研究发现,产业扶贫合作社对农户的农业全要素生产率有显著正向影响,稳健性分析和安慰剂检验进一步验证了结果的可靠性。异质性分析表明,产业扶贫合作社对土地经营规模大、家庭农业劳动少、户主年龄高和非建档立卡户样本群体的农业全要素生产率的影响更大。机制分析表明,产业扶贫合作社通过提供技术培训提高了农户的农业全要素生产率。进一步发现,产业扶贫合作社能通过提升农业全要素生产率提高农户农业收入。基于以上结论,在乡村振兴阶段应继续扶持产业合作社带动农户发展,注重关注产业合作社对不同农户的异质性影响,提升产业合作社技术培训的供给能力,进而不断提升农户农业全要素生产率和带动农户增收。

关键词: 产业扶贫, 合作社, 农业全要素生产率, 准实验

Abstract: Improving total factor productivity of agricultural is an important path to comprehensively promote rural vitalization and move faster to build up China’s strength in agriculture. Based on the quasi-experimental research data of the industrial poverty alleviation pilot project in the Wumeng and Liupan mountain area, this paper uses the Differences-in-Differences model (DID) to address potential endogeneity and the panel data of 807 farmers in 7 countries across 3 provinces to analyze the effect of industrial poverty alleviation projects on total factor productivity of agricultural. The study found that industrial poverty alleviation cooperatives can significantly improve farmers’ total factor productivity of agriculture. Robustness analysis and placebo test further strengthen the reliability of empirical analysis results. The heterogeneity analysis showed that the industrial poverty alleviation cooperative project had a greater impact on the agricultural total factor productivity of the sample groups of large cultivated farmland area, less agricultural labor, high age of household head and non-registered households. Mechanism analysis shows that industrial poverty alleviation cooperatives can improve farmers’ total factor productivity by providing technical training. It was further found that industrial poverty alleviation cooperatives can improve the agricultural income of farmers by improving the total factor productivity of agriculture. Based on the above conclusions, we should continue to support industrial cooperatives in the rural revitalization stage to drive the development of farmers, pay attention to the differential impact of industrial cooperatives on different farmers, and improve the supply capacity of industrial cooperatives for technical training and technical training, so as to continuously improve farmers' total factor productivity of agriculture and increase farmers’ income.

Key words: industrial poverty alleviation, cooperative, total factor productivity of agriculture, quasi-experimental

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