江西财经大学学报 ›› 2020, Vol. 0 ›› Issue (5): 103-116.

• “三农”研究 • 上一篇    下一篇

农村一二三产业融合:农户参与及其增收效应研究

李姣媛1, 覃诚2, 方向明2   

  1. 1.浙江工商大学 金融学院,浙江 杭州 310018;
    2.中国农业大学 经济管理学院,北京 100083
  • 收稿日期:2020-02-26 修回日期:2020-07-13 出版日期:2020-09-25 发布日期:2020-11-03
  • 通讯作者: 方向明,中国农业大学教授,博士生导师,主要从事农业经济与农村发展研究,联系方式xmfang@cau.edu.cn。
  • 作者简介:李姣媛,浙江工商大学讲师,主要从事农业经济与农村发展研究;覃 诚,中国农业大学博士研究生,主要从事农业经济理论与政策研究。
  • 基金资助:
    农业农村部农业财政资助研究项目“乡村产业融合发展典型模式及经验研究”

Integration of the Three Industries in Rural Areas:Rural Households' Participation and Its Income-Increasing Effects

LI Jiao-yuan1, QIN Cheng2, FANG Xiang-ming2   

  1. 1. Zhejiang Gongshang University, Hangzhou 310018;
    2. China Agricultural University, Beijing 100083, China
  • Received:2020-02-26 Revised:2020-07-13 Online:2020-09-25 Published:2020-11-03

摘要: 农户参与三产融合的增收效应是评估农村三产融合发展效果的重要方面。基于2019年对浙江、湖北、四川3省714户农户实地调查数据分析农户三产融合参与情况,运用Logit模型探究农户参与三产融合的影响因素,采用倾向得分匹配法(PSM)评估三产融合参与对农户收入的影响效应。研究结果表明,户主受教育水平、家庭社会资本、是否为新型农业经营主体、村庄产业发展相关经济基础设施水平和所在地区等是农户参与三产融合的主要诱因。参与三产融合使农户家庭人均经营性收入显著提升164.7%,但对其他类型的收入没有显著影响。相比其他群体,参与三产融合对户主年龄在45岁及以上、受教育程度为高中及以上的农户和没有注册成为新型农业经营主体的普通农户家庭人均经营性收入的影响效应更为显著。

关键词: 农村三产融合, 基础设施, 农户收入, 倾向得分匹配法

Abstract: The income-increasing effect of rural households' participation in the integration of the three industries is one of the important aspects in evaluating the effects of the integrated development of the three industries in rural areas. Based on the survey data of 714 rural households from Zhejiang, Hubei, and Sichuan provinces in 2019, this paper tries to analyze the participation of rural households in the integration of the three industries. It makes use of the Logit model to explore the influencing factors of the participation and employs the propensity score matching method (PSM) to evaluate the effects of the participation on farmers' income. The results show that such factors as the education the head of a household received, family's social capital, whether a family being the subject of the new-type agricultural operation, the level of economic infrastructures related to the development of village industries, and the location are the major causes to the households' participation in the integration of the three industries. The participation has significantly increased the per capita operational income by 164.7%, but no significant effect can be found on the income of other types. Compared with other groups, the participation has a more significant effect on the per capita operational income of the rural households with the heads aged 45 or above, the households with education level of high school or over, and the ordinary households not registered as subjects of new agricultural operation.

Key words: integration of three industries in rural areas, infrastructure, rural household income, propensity score method

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