Based on the panel data of water footprint of 14 cities in Liaoning Province,this paper estimated the water footprint and water footprint intensity of 14 cities in Liaoning Province from 2004 to 2013,and found that water footprint intensity has obviously decrease tendency and water footprint intensity has great difference in Liaon-ing Province. By constructing the kernel density estimation model to describe the dynamic evolution trend of per ca-pita water footprint and water footprint intensity and by using the Gini coefficient and Theil index to explore the wa-ter footprint intensity's difference and found that it has reduced and has a convergence trend. Through the spatial autocorrelation test,there is significant spatial autocorrelation of water footprint intensity in Liaoning Province, high-high correlation pattern areas mainly distributed in less developed cities,such as Fuxin,Chaoyang and Hulud-ao and low-low correlation pattern areas mainly distributed in relatively developed cities in Liaoning Province,such as Dalian,Anshan,Panjin. There exists a significant spatial effect of water footprint intensity among cities of Liaon-ing Province and the per capita water footprint has great influence on the water footprint intensity.%基于辽宁省14个城市的水足迹面板数据,计算2004—2013年辽宁各城市的水足迹和水足迹强度,辽宁省水足迹强度明显下降,各城市间水足迹强度存在很大差异.采用核密度估计模型、基尼系数、锡尔指数分析人均水足迹和水足迹强度的动态演变规律,辽宁省水足迹强度差异在不断缩小且有收敛趋势.通过空间自相关检验发现,辽宁省水足迹强度存在显著空间自相关关系,高高集聚区域主要分布在辽宁省经济欠发达的城市,如阜新、朝阳、葫芦岛;低低集聚区域主要集中在辽宁省经济水平相对发达的城市,如大连、鞍山、盘锦;辽宁省水足迹强度存在显著空间效应,其中人均水足迹对水足迹强度的影响最大.
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