浙江农业学报 ›› 2017, Vol. 29 ›› Issue (8): 1398-1408.DOI: 10.3969/j.issn.1004-1524.2017.08.23

• 农业经济与发展 • 上一篇    下一篇

农户参与农地整治的空间特征及其影响因素分析--以甘肃省河西走廊区为例

刘洋, 陈英*, 张玉娇, 田丰   

  1. 甘肃农业大学 资源与环境学院,甘肃 兰州 730070
  • 收稿日期:2017-06-08 出版日期:2017-08-20 发布日期:2017-09-06
  • 通讯作者: 陈英,E-mail: cheny@gsau.edu.cn
  • 作者简介:刘洋(1990-),男,山东潍坊人,硕士研究生,研究方向为农村区域发展与土地资产管理。E-mail:gasu01educn@126.com
  • 基金资助:
    国家自然科学基金项目(71263003,71563001)

Analysis on spatial characteristics and influence factors of farmers’ participation in land consolidation: A case of Hexi Corridor in Gansu Province

LIU Yang, CHEN Ying*, ZHANG Yujiao, TIAN Feng   

  1. College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China
  • Received:2017-06-08 Online:2017-08-20 Published:2017-09-06

摘要: 为深入研究农户参与农地整治项目的空间区域差异及其影响因素,对河西走廊15个县(市、区)的农地整治项目进行实地调查走访,采用模糊综合评判法测算农户参与的水平,运用探索性空间数据分析法(ESDA)测评农户参与的空间格局及区域差异,并运用空间计量模型分析农户参与的影响因素。研究结果表明:(1)河西走廊农地整治农户参与水平普遍较低,空间区域差异明显,具有显著的正的空间自相关性;(2)河西走廊农户参与水平“热点区域”集中分布在东部石羊河流域和西部疏勒河流域,“盲点区域”则处于中部黑河流域的肃州区、高台县、临泽县,总体呈现出空间地域上“两头高中间低”的“哑铃”结构;(3)空间误差回归分析表明,在考虑了空间地理效应之后,“农户耕地块数”“村领导对待整治项目态度”“农户对种植农产品市场预期”等因素对农户参与空间差异产生了更为显著的影响。根据区域实际情况,剖析农地整治中农户参与的空间格局及其影响因素的内在机理,可为政府和国土部门制定差别化的农户参与激励政策以提升农地整治的绩效及农户有效参与度提供理论依据和参考方法。

关键词: 农地整治, 农户参与, 探索性空间数据分析, 空间计量模型, 河西走廊

Abstract: Based on the survey data of 15 counties’ rural land consolidation in Hexi Corridor, the spatial characteristics and influence factors of farmers’ participation in rural land consolidation were explored. The fuzzy comprehensive evaluation was used to measure the farmers’ participation, the exploratory spatial data analysis was used to determine the spatial characteristics and differences, and the spatial econometric model was applied to analyze the influence factors. The results showed that:(1) The farmers’ participation was generally low, and the spatial characteristics were obvious, which showed a significant positive spatial autocorrelation. (2) The “hot regions” of farmers’ participation were concentrated in Shiyang River and Shule River Basin, while Suzhou District, Gaotai County, Linze County were the “blind regions” in Black River Basin, showing a “dumbbell” structure. (3) The spatial error model showed that, the farmland blocks, the village manager‘s attitude towards rural land consolidation, farmers’ market expectations for farm products have a more significant effect on the spatial disparity of farmers’ participation. According to the actual situations, it is helpful to explore the spatial characteristics and influence factors of farmers’ participation for making different policies of the farmers’ participation for the government and land departments, and providing theoretical and method references for promoting the land consolidation performance and farmers’ participation.

Key words: rural land consolidation, farmer‘s participation, exploratory spatial data analysis, spatial econometric model, Hexi Corridor

中图分类号: