湖北农业科学 ›› 2021, Vol. 60 ›› Issue (4): 74-78.doi: 10.14088/j.cnki.issn0439-8114.2021.04.016

• 土地管理 • 上一篇    下一篇

乡村振兴背景下农户耕地细碎化治理意愿及影响因素分析

魏永梅, 方世明, 程佳   

  1. 中国地质大学(武汉)公共管理学院,武汉 430074
  • 收稿日期:2020-06-11 出版日期:2021-02-25 发布日期:2021-03-07
  • 通讯作者: 方世明,男,教授,博士,主要从事土地利用规划、地质公园申报与规划研究;程 佳,男,主要从事土地利用规划研究。
  • 作者简介:魏永梅(1995-),女,甘肃会宁人,在读硕士研究生,研究方向为土地利用规划,(电话)18821623739(电子信箱)1456127854@qq.com。

Analysis of farmers' willingness to cultivate land fragmentation governance and influencing factors under the background of rural revitalization

WEI Yong-mei, FANG Shi-ming, CHENG Jia   

  1. College of Public Administration, China University of Geosciences, Wuhan 430074,China
  • Received:2020-06-11 Online:2021-02-25 Published:2021-03-07

摘要: 基于甘肃省白银市会宁县团结村等村庄农户调研数据,建立Logistic回归模型研究乡村振兴背景下农户耕地细碎化治理的意愿,并探究影响农户参与耕地细碎化治理的因素。结果表明,55.74%的农户愿意进行耕地细碎化治理。户主文化水平越高、家庭劳动力人数越多、对“乡村振兴”政策了解程度越高、从众心理越强,对今后农业机械化生产的态度越看好,农户更愿意参与耕地细碎化治理,家庭主要劳动力健康状况越良好、耕地越肥沃、地块到家的距离越近,农户耕地细碎化治理意愿越低。

关键词: 乡村振兴, 意愿, 耕地细碎化治理, Logistic回归

Abstract: Based on the survey data of farmers in Tuanjie village and other villages in Huining county, Baiyin city, Gansu province, a Logistic regression model is established to study the willingness of farmers to cultivate arable land under the background of rural revitalization, and the factors are explored that affect farmers'participation in the management of arable land. The results show that 55.74% of farmers are willing to carry out land fragmentation governance. The higher the education level of the head of the household, the greater the number of family labor, the higher the level of understanding of the “rural revitalization” policy, the stronger the herd mentality, the more optimistic about the future agricultural mechanized production, the more willing the farmers are to participate in the governance of cultivated land fragmentation; The better the health status, the more fertile the cultivated land and the closer the plot to home, the lower the farmers' willingness to manage the cultivated land.

Key words: rural revitalization, willingness, land fragmentation governance, Logistic regression

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