黑龙江国土资源

随着乡村振兴战略深入实施，农村土地资源利用面临新型农业经营模式推广、生态保护红线约束和城乡要素流动加速等多重挑战，研究选取浙江省嘉兴市嘉善县为研究区，针对农村土地资源利用效率评价中的关键问题，构建了“经济-社会-生态”多维综合评价体系。通过整合碳汇功能和生物多样性指标的生态产出量化方法、采用三阶段数据包络分析(Data Envelopment Analysis, DEA)模型剥离环境变量干扰、引入超效率评价突破传统模型限制等系统性改进，显著提升了评价精度。研究证实，三阶段DEA模型通过环境变量校正和超效率扩展，更适合多目标约束下的土地资源评价。基于此，建议对高、中、低效区分别实施集约化提升、结构优化和生态补偿的差异化政策，为乡村振兴中的土地精准管理提供量化工具。本研究为协调粮食安全、生态保护与农民增收目标提供了方法论支撑，所构建的指标体系与评估框架可拓展至其他农业区域。

With the in-depth implementation of the rural revitalization strategy, the utilization of rural land resources is facing multiple challenges, such as the promotion of new agricultural operation models, the constraint of the ecological protection red line, and the acceleration of urban-rural factor flow.Focusing on the key issues in evaluating the utilization efficiency of rural land resources, this study constructed a multi-dimensional comprehensive evaluation system of “economy-society-ecology” for Jiashan County, Jiaxing City, Zhejiang Province.By integrating ecological output quantification methods for carbon sink functions and biodiversity indices, applying a three-stage Data Envelopment Analysis(DEA) model to eliminate the influence of environmental variables, and introducing a super-efficiency evaluation to overcome the limitations of traditional models, the evaluation accuracy was significantly improved.The results demonstrate that the three-stage DEA model, through environmental variable correction and super-efficiency extension, is more suitable for land resource evaluation under multi-objective constraints.Based on this, it is suggested to implement differentiated policies—intensive upgrading, structural optimization, and ecological compensation—for high-,medium-,and low-efficiency areas respectively, providing quantitative tools for precise land management in rural revitalization.This study provides methodological support for coordinating food security, ecological protection, and farmers' income goals, and the established index system and evaluation framework can be extended to other agricultural regions.