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辽宁省水足迹强度差异及空间关联格局分析
引用本文:盖美,吴慧歌,曲本亮.辽宁省水足迹强度差异及空间关联格局分析[J].地域研究与开发,2017,36(1).
作者姓名:盖美  吴慧歌  曲本亮
作者单位:1. 辽宁师范大学海洋经济与可持续发展研究中心,辽宁大连,116029;2. 大连市环境科学设计研究院,辽宁大连,116023
基金项目:2016年辽宁省教育厅人文社科类科研平台项目,教育部人文社科重点研究基地重大项目,国家社会科学基金重大项目
摘    要: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。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。

关 键 词:水足迹强度  核密度估计  空间自相关  空间计量模型  辽宁省

Disparities and Spatial CorrelationPattern Analysis of Water Footprint Intensity in Liaoning Province
Gai Mei,Wu Huige,Qu Benliang.Disparities and Spatial CorrelationPattern Analysis of Water Footprint Intensity in Liaoning Province[J].Areal Research and Development,2017,36(1).
Authors:Gai Mei  Wu Huige  Qu Benliang
Abstract: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.
Keywords:water footprint intensity  kernel density estimation  spatial autocorrelation  spatial econometric model  Liaoning Province
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