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中国农学通报 ›› 2020, Vol. 36 ›› Issue (6): 149-156.doi: 10.11924/j.issn.1000-6850.casb18100090

所属专题: 农业地理

• 三农研究 • 上一篇    下一篇

广东省农地边际化特征及其影响因素的地理探测

曾小洁, 王芳(), 冯艳芬, 朱姝   

  1. 广州大学地理科学学院,广州 510006
  • 收稿日期:2018-10-25 修回日期:2019-07-23 出版日期:2020-02-25 发布日期:2020-02-22
  • 通讯作者: 王芳
  • 作者简介:曾小洁,女,广东揭阳人,1994年出生,在读硕士,研究方向:土地资源管理。通信地址:510006 广东省广州市大学城外环西路230号,Tel:020-39366890,E-mail:2678955353@qq.com。
  • 基金资助:
    国家自然科学基金面上项目“基于高空间分辨率与立体像对遥感数据的建筑物三维信息提取及分布模拟研究”(41371499);国家自然科学基金青年基金(41401432);广东省自然科学基金(2015A030313505);广东省哲学社会科学“十三五”规划(GD16CGL03);广东省教育高校特色创新项目“能源激励政策下的广东省边际土地开发和液体生物能源产业响应机制研究”(2014KTSCX088)

Farmland in Guangdong: Marginalization Characteristics and Geographical Detection of the Influencing Factors

Zeng Xiaojie, Wang Fang(), Feng Yanfen, Zhu Shu   

  1. College of Geographical Science, Guangzhou University, Guangzhou 510006
  • Received:2018-10-25 Revised:2019-07-23 Online:2020-02-25 Published:2020-02-22
  • Contact: Wang Fang

摘要:

为了明确经济发达地区广东省农地边际化现象及其主要影响因素。本研究采用“单位成本纯收益指标”、“农地利用集约度指标”和“农作物播种面积指标”三大主要指标,对广东省2000—2015年农地边际化特征进行提取。选择影响农地边际化特征的19个因子,利用地理探测器方法对农地边际化现象的核心影响因素进行挖掘。结果表明:2000—2015年广东省共发生3次比较明显的农地边际化现象,分别在2001—2002年、2005—2006年、2010—2013年,且第3次边际化持续时间最长,情况最严重。社会经济发展水平与结构指标和农户家庭资源要素结构变化指标对农地边际化的影响程度较大,其中第三产业产值比重、农村农户固定资产投资、粮食总播种面积对农地边际化现象有较强的解释力,q值分别为0.8067、0.8055、0.7916。任何两因子相互交互作用都能增强对农地边际化现象的解释力。

关键词: 农地边际化特征, 影响因素, 地理探测, 广东省

Abstract:

To clarify the marginalization of farmland in Guangdong which is a developed area and its main influencing factors, using three major diagnostic indicators of “unit cost net income index”, “agricultural land use intensity index” and “agricultural crop planting area index”, we summarized the marginalization characteristics of farmland in Guangdong from 2000 to 2015, selected 19 factors affecting the marginalization characteristics of farmland, and explored the core influencing factors of farmland marginalization by geo-detector method. The results showed that: there were 3 obvious farmland marginalization in Guangdong from 2000 to 2015, appeared in 2001-2002, 2005-2006 and 2010-2013, respectively, and the third marginalization lasted for the longest time and was the most serious; the level of social and economic development and structural indicators and the indicators of changes in the structure of rural household resource elements had a great impact on the marginalization of farmland, among them, the proportion of tertiary industry value, the fixed assets investment of rural farmers, and the total planting area of grain had a strong explanatory power to the marginalization of farmland, q was 0.8067, 0.8055, 0.7916, respectively. Any interaction between the two factors can enhance the explanatory power of the marginalization of farmland.

Key words: marginalization characteristics of farmland, influencing factors, geographical detection, Guangdong

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