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政策效力提升能否抑制耕地流失?基于海南省耕地保护政策的实证分析

Can enhanced policy effectiveness curb farmland loss? An empirical analysis of farmland protection policies in Hainan Province

  • 摘要: 耕地资源是粮食安全和可持续发展的基础,但随着经济建设和土地开发压力增大,耕地流失问题日益突出,政策在保障耕地数量、质量与生态功能中发挥着关键作用。本文以海南省为例,探讨耕地保护政策与耕地流失之间的关系,揭示政策演变与耕地保护成效的互馈机制,为政府政策优化提供理论参考。本研究通过构建PMGTS政策量化模型对2000-2023年中央及海南省耕地保护政策文件进行分析;同时,采用自回归分布滞后模型(ARDL),探讨研究期内各阶段海南省政策特征与耕地状况的动态关联。研究结果表明:1)现行政策体系呈现“强资源投入-弱制度效能”的特征; 2)耕地保护政策效力(TFE)演化具有阶段跃迁特征,分别为耕地保护探索、调适、发展、优化4个阶段; 3)耕地流失与政策调整之间存在负相关性。在长期关系上政策效力的提升对耕地流失具有显著抑制作用,但在短期关系上抑制效应具有时滞性。4)政策效力对耕地流失的影响呈现出明显的阶段性强化特征,政策机制协同化转型是缓解耕地流失问题的关键路径。综上,海南省耕地保护政策效力与耕地流失之间存在显著互馈机制,政策制定需要长期规划和持续的政策支持,以助推耕地治理成效。

     

    Abstract: Arable land resources constitute the foundation of food security and sustainable development. However, with increasing pressures from economic development and land exploitation, the loss of arable land has become increasingly prominent. Policies play a crucial role in safeguarding the quantity, quality, and ecological functions of arable land. Taking Hainan Province as a case study, this paper examines the relationship between arable land protection policies and arable land loss, and reveals the mutual feedback mechanism between policy evolution and the effectiveness of arable land protection, providing a theoretical reference for government policy optimization. This study first analyzes the arable land protection policy documents issued by the central government and Hainan Province from 2000 to 2023 by constructing a PMGTS policy quantification model. An autoregressive distributed lag model (ARDL) is then employed to explore the dynamic relationship between policy characteristics and arable land conditions across different stages during the study period. The results show that: 1) the current policy system is characterized by strong resource input and relatively weak institutional effectiveness; 2) the evolution of the total policy effectiveness of arable land protection (TFE) exhibits clear stage transition characteristics, including four stages of exploration, adjustment, development, and optimization; 3) a negative correlation exists between arable land loss and policy adjustments. In the long run, improvements in policy effectiveness significantly restrain arable land loss, while in the short run the inhibitory effect shows a time lag; 4) the influence of policy effectiveness on arable land loss demonstrates an evident stage-specific strengthening pattern, and the coordinated transformation of policy mechanisms constitutes a key pathway for alleviating arable land loss. The findings indicate that a significant mutual feedback mechanism exists between the effectiveness of arable land protection policies and arable land loss in Hainan Province. Effective policy design therefore requires long-term planning and sustained policy support to enhance the effectiveness of arable land governance.

     

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