湖北农业科学 ›› 2025, Vol. 64 ›› Issue (3): 216-223.doi: 10.14088/j.cnki.issn0439-8114.2025.03.033

• 经济·管理 • 上一篇    下一篇

基于DEMATEL-ISM-MICMAC模型的耕地撂荒致因研究——以山西省长治市黎城县为例

赵慧蓉1, 殷海善2   

  1. 1.山西农业大学资源环境学院,山西 太谷 030801;
    2.山西农业大学农业经济管理学院,山西 太原 030006
  • 收稿日期:2023-08-14 出版日期:2025-03-25 发布日期:2025-04-17
  • 通讯作者: 殷海善(1970-),男,山西泽州人,副研究员,主要从事土地资源管理研究,(电话)13513632214(电子信箱)13513632214@139.com。
  • 作者简介:赵慧蓉(1998-),女,山西高平人,在读硕士研究生,研究方向为土地资源管理,(电话)15934049798(电子信箱)908699817@qq.com。
  • 基金资助:
    山西省社科联2021年度重点课题(SSKLZDKT2021043)

Study on the causes of cultivated land abandonment based on DEMATEL-ISM-MICMAC model: A case study of Licheng County, Changzhi City, Shanxi Province

ZHAO Hui-rong1, YIN Hai-shan2   

  1. 1. College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, Shanxi, China;
    2. College of Agricultural Economics and Management, Shanxi Agricultural University, Taiyuan 030006, Shanxi, China
  • Received:2023-08-14 Published:2025-03-25 Online:2025-04-17

摘要: 以山西省长治市黎城县为例,基于文献研究、实地调查与专家访谈方法从自然、经济、人口、生产4个方面提出了耕地撂荒的影响因素,采用DEMATEL-MICMAC-ISM模型对影响因素进行相关性、重要性、层级结构分析及驱动力-依赖性分析。结果表明,15个耕地撂荒影响因素划分为3个集合,共6层,分别为直接因素(L1)、中间因素(L2、L3、L4、L5)、深层因素(L6)。运用MICMAC模型计算各因素的依赖性值和驱动力值,将驱动因素分为联系型因素、独立型因素、自治型因素、依赖型因素4类。耕地撂荒的关键影响因素为地形坡度、海拔、本底值、农林水事务支出、农业机械总动力、区位条件、耕作便捷度、水源距离。

关键词: 耕地利用, 耕地撂荒, DEMATEL-ISM-MICMAC模型, 山西省长治市黎城县

Abstract: Taking Licheng County, Changzhi City, Shanxi Province as an example, this study proposed influencing factors of cultivated land abandonment from four aspects: natural conditions, economy, population, and production, based on literature review, field surveys, and expert interviews. The DEMATEL-MICMAC-ISM model was employed to analyze the correlations, importance, hierarchical structure, and driving force-dependency relationships of these factors. The results showed that the 15 influencing factors of cultivated land abandonment were divided into 3 clusters across 6 levels: Direct factors (L1), intermediate factors (L2, L3, L4, L5), and deep factors (L6). Using the MICMAC model, the dependency and driving force values of each factor were calculated, and the driving factors were categorized into four types: linked factors, independent factors, autonomous factors, and dependent factors. Key factors influencing cultivated land abandonment included terrain slope, elevation, background value, expenditure on agriculture, forestry, and water affairs, total agricultural machinery power, location conditions, tillage convenience, and distance to water sources.

Key words: cultivated land utilization, cultivated land abandonment, DEMATEL-ISM-MICMAC model, Licheng County,Changzhi City,Shanxi Province

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