中国省际水足迹强度的空间网络结构及其成因研究
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摘要
中国水资源短缺的问题已经成为制约经济与社会可持续发展的主要瓶颈,提高水资源利用效率势在必行。文章基于中国31个省份2005—2015年水足迹强度数据,从社会网络的视角对水足迹强度的空间关联结构特征进行研究。结果发现:在样本考察期内,水足迹强度空间网络关联的紧密程度不断提高,同时,网络结构稳定性也在逐步增强。中国水足迹强度空间溢出存在着明显的梯度关系,板块一和板块二扮演"受益者"角色,板块三和板块四扮演着"贡献者"角色。地理位置、经济水平、产业结构、外商投资规模等因素影响着水足迹强度空间关联关系。
China's water shortage has become a major bottleneck restricting the sustainable development of economy and society, thus it is imperative to improve the efficiency of water resources utilization. From the perspective of social network, this paper analyzes the spatial correlation structure of water footprint intensity on the basis of the panel data of 31 Chinese provinces from 2005 to 2015. The results show that during the sample study period, spatial network correlation density of water footprint intensity shows an increasing trend, and at the same time the stability of network structure is gradually enhanced; there is an apparent gradient for the spatial overflow of China's provincial water footprint intensity, with Block 1 and Block 2 playing the role of"beneficiaries", and Block 3 and Block the role of"contributors"; geographical location, economic level, industrial structure, scale of foreign investment and other factors affect the spatial correlation of water footprint intensity.
China's water shortage has become a major bottleneck restricting the sustainable development of economy and society, thus it is imperative to improve the efficiency of water resources utilization. From the perspective of social network, this paper analyzes the spatial correlation structure of water footprint intensity on the basis of the panel data of 31 Chinese provinces from 2005 to 2015. The results show that during the sample study period, spatial network correlation density of water footprint intensity shows an increasing trend, and at the same time the stability of network structure is gradually enhanced; there is an apparent gradient for the spatial overflow of China's provincial water footprint intensity, with Block 1 and Block 2 playing the role of"beneficiaries", and Block 3 and Block the role of"contributors"; geographical location, economic level, industrial structure, scale of foreign investment and other factors affect the spatial correlation of water footprint intensity.
引文
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[3]Chapagain A K,Orr S.An Improved Water Footprint Methodology Linking Global Consumption to Local Water Resources:A Case of Spanish Tomatoes[J].Journal of Environmental Management,2009,90(2).
[4]Cha K,Son M,Hong S,et al.Method to Assess Water Footprint,ACase Study for White Radishes in Korea[J].International Soil and Water Conservation Research,2017,5(2).
[5]邓晓军,谢世友,王新华.重庆市2004年的水足迹分析[J].长江流域资源与环境,2007,16(5).
[6]盖力强,谢高地,李士美等.华北平原小麦、玉米作物生产水足迹的研究[J].资源科学,2010,32(11).
[7]潘文俊,曹文志,王飞飞等.基于水足迹理论的九龙江流域水资源评价[J].资源科学,2012,34(10).
[8]王博,汤洁,侯克怡.基于ESDA的流域水足迹强度时空格局特征解析[J].统计与决策,2014,(23).
[9]赵良仕,孙才志,郑德凤.中国省际水资源利用效率与空间溢出效应测度[J].地理学报,2014,69(1).
[10]鲍超,陈小杰,梁广林.基于空间计量模型的河南省用水效率影响因素分析[J].自然资源学报,2016,31(7).
[11]Zhao L,Sun C,Liu F.Interprovincial Two-stage Water Resource Utilization Efficiency Under Environmental Constraint and Spatial Spillover Effects in China[J].Journal of Cleaner Production,2017,(164).
[12]刘华军,刘传明.京津冀地区城市间大气污染的非线性传导及其联动网络[J].中国人口科学,2016,(2).
[13]焦鹏飞,张凤荣,李灿等.基于引力模型的县域中心村空间布局分析--以山西省长治县为例[J].资源科学,2014,36(1).
[14]刘华军,刘传明,孙亚男.中国能源消费的空间关联网络结构特征及其效应研究[J].中国工业经济,2015,(5).
[15]孙才志,陈栓,赵良仕.基于ESDA的中国省际水足迹强度的空间关联格局分析[J].自然资源学报,2013,28(4).
[16]刘子刚,郑瑜.基于生态足迹法的区域水生态承载力研究--以浙江省湖州市为例[J].资源科学,2011,33(6).
[17]李敬,陈澍,万广华等.中国区域经济增长的空间关联及其解释--基于网络分析方法[J].经济研究,2014,(11).