青岛乡村人居环境质量评价及驱动机制探究

STUDY ON THE QUALITY EVALUATION AND DRIVING MECHANISM OF RURAL HUMAN SETTLEMENTS ENVIRONMENT IN QINGDAO

关键词:  乡村人居环境质量  协调度  驱动机制  地理探测器模型  青岛市

Key words:  rural human settlements quality  coordination degree  driving mechanism  geodetector model  Qingdao city

摘要:

目的 以青岛市乡村人居环境质量为切入点进行研究，研究结果将为青岛市美丽乡村建设和政策制定提供理论借鉴。方法 文章基于文献查阅法构建指标体系，采用主成分分析法确定指标权重，并利用综合评价法和协调度指数对青岛市乡村人居环境质量进行测度。驱动力分析是在主成分分析的基础上，利用因子探测器模型和交互探测器模型对主成分中的指标进行驱动因子探测。结果 2001—2017年青岛市乡村人居环境质量综合指数呈逐年上升的趋势，从0.121增加到0.854；评价体系的协调度整体呈增加趋势，但存在倒“U”型的周期波动。驱动力探测结果表明人均GDP、农民人均纯收入、乡村绿地面积和非生产性投资等是主要驱动因子。结论 青岛市乡村人居环境质量的变化与政策的制度存在较大的关系，在政策的导向下，经济发展已经成为青岛市乡村人居环境质量优化升级的主要驱动因素。

Abstract:

The research on the environmental quality of rural human settlements in Qingdao will provide theoretical reference for the construction and policy making of beautiful villages in Qingdao. In this paper, the index system was constructed based on literature reference method, and the index weight was determined by principal component analysis, and the quality of rural human settlements environment in Qingdao was measured by comprehensive evaluation method and coordination index. The driving force analysis was based on the principal component analysis, and using the factor detector model and the interactive detector model to detect the driving factor of the index in the principal component. The results were indicated as follows. From 2001 to 2017, the comprehensive index of rural human settlements quality in Qingdao increased year by year, from 0.121 to 0.854. The degree of coordination of the evaluation system as a whole showed an increasing trend, but there was a periodic fluctuation of inverted "U" type. The results of driving force detection showed that the per capita net income of per capita GDP, farmers, rural green space area and unproductive investment were the main driving factors. It concludes that under the guidance of policy, economic development has become the main driving factor for the optimization and upgrading of rural human settlements quality in Qingdao.