中国省级水贫困的测算及空间关联效应

doi:10.13961/j.cnki.stbctb.2024.05.022

	中国省级水贫困的测算及空间关联效应
其他题名	Calculation and Spatial Correlation Effects of Water Poverty in Various Provinces of China
	邓光耀1,2 ; 张鑫2
	2024-10-28
发表期刊	水土保持通报
卷号	44 期号:5 页码:204-213
摘要	[目的]测度中国各省(市)的水贫困情况,并进行社会网络分析,为缓解中国水贫困窘境提供决策依据.[方法]采用熵权法和社会网络分析方法,对2010-2021年中国各个省(市)的水贫困程度进行测算并分析其空间关联效应.[结果]①中国省级水贫困指数在考察期内整体呈上升趋势,水贫困程度逐步下降,但空间非均衡特征也比较明显.②省级水贫困网络整体呈现出显著的空间关联性和复杂的结构形态,所有地区都关联其中,但这种关联性的紧密程度不高.③根据块模型分析结果,北京、天津等5个省(市)被归类为"净受益"板块,湖南、海南等13个省(市)则被归类为"净溢出"板块,广东、重庆等4个城市则被归类为"双向溢出"板块;而内蒙古、黑龙江等9个省(市)则被归类为"经纪人板块".此外,板块内关系稀疏,板块间联系紧密.④核心边缘密度分析表明,核心地区的数目频繁波动,边缘地区的数目则先增加后减少.[结论]国家应全面认识水贫困指数的空间关联关系和网络结构特征,制定并推行区域差异化的政策和策略,以协同促发展,充分发挥政府和市场作用,有效改善水贫困窘境,提升水安全保障.
其他摘要	[Objective]The water poverty in China's provinces(cities)was measured and social network analysis was conducted in order to provide a decision-making basis for alleviating China's water poverty dilemma.[Methods]The entropy weight method and social network analysis were employed to measure and analyze the spatial correlation effects of water poverty in various Chinese provinces(cities)from 2010 to 2021.[Results]① The water poverty index of Chinese provinces has shown an overall upward trend during the inspection period,and the degree of water poverty has gradually decreased.However,the spatial non-equilibrium characteristics remain quite evident.② The provincial water poverty network exhibits significant spatial correlation and complex structural forms as a whole,with all regions interconnected;however,the degree of closeness of this correlation is not high.③ According to the block model analysis results,5 provinces(cities)including Beijing and Tianjin are classified as the"net beneficiary"group,13 provinces(cities)including Hunan and Hainan as the"net spillover"group,4 provinces(cities)including Guangdong and Chongqing as the"two-way spillover"group,and 9 provinces(cities)including Inner Mongolia and Heilongjiang as the"broker"group.In addition,the relationships within the plates are sparse,whereas the connections between the plates are strong.④ Analysis of the core-edge density shows that the number of core areas fluctuates frequently,while the number of edge areas initially increases and then decreases.[Conclusion]The State should develop a comprehensive understanding of the spatial correlation and network structure characteristics of the Water Poverty Index,formulate and implement regionally differentiated policies and strategies,promote coordinated development,give full play to the roles of the government and market,effectively address the challenges of water poverty,and enhance water security.
关键词	水贫困指数空间关联社会网络分析
DOI	10.13961/j.cnki.stbctb.2024.05.022
URL	查看原文
收录类别	中国科技核心期刊 ; 北大核心 ; CSCD
ISSN	1000-288X
语种	中文
原始文献类型	Periodical
中图分类号	F205
CN号	61-1094/X
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/38424
专题	统计与数据科学学院
通讯作者	张鑫
作者单位	1.兰州财经大学"一带一路"经济研究院,甘肃兰州 730020; 2.兰州财经大学统计与数据科学学院,甘肃兰州 730020
第一作者单位	兰州财经大学; 统计与数据科学学院
通讯作者单位	统计与数据科学学院
推荐引用方式 GB/T 7714	邓光耀,张鑫. 中国省级水贫困的测算及空间关联效应[J]. 水土保持通报,2024,44(5):204-213.
APA	邓光耀,&张鑫.(2024).中国省级水贫困的测算及空间关联效应.水土保持通报,44(5),204-213.
MLA	邓光耀,et al."中国省级水贫困的测算及空间关联效应".水土保持通报 44.5(2024):204-213.