【摘要】 基于2000—2013年中国省际空间面板数据,论文采用探索性空间数据分析方法探讨中国城镇化水平的空间布局特征以及动态变迁,并运用空间滞后模型和空间误差模型分析了城镇化对环境污染的影响。结果表明:我国省际城镇化水平存在显著的空间集聚特征;高水平集聚区主要有北京、天津为中心的环渤海区域、上海为中心的长三角区域,低水平集聚区则以四川、贵州、云南为核心;新疆、吉林、海南的城镇化进程较周边邻近省份相对缓慢,而浙江、湖北、广东、重庆则相对较快;基于各省份城镇化进程的相互影响,城镇化水平的提升将显著缓解环境污染的压力。更多还原

【Abstract】 Based on 2000—2013inter-provincial panel data in China,the paper discusses spatial distribution feature and dynamic change of urbanization level in China with Exploratory Spatial Data Analysis,and analyzes the impact of urbanization on environmental pollution with Spatial Lag Model and Spatial Error Model.The results show as follows:spatial aggregation significantly exists for interprovincial urbanization level;the high-level aggregation regions include circum-Bohai-sea region centered by Beijing and Tianjin and Yangtze River delta region centered by Shanghai;low-level aggregation regions include Sichuan,Guizhou and Yunnan.The urbanization process of Xinjiang,Jilin and Hainan is slower than their adjacent provinces,and the urbanization process of Zhejiang,Hubei,Guangdong,Chongqing are quicker.Based on mutual influence of urbanization process in each province,increasing urbanization level can significantly alleviate the pressure of environmental pollution.更多还原