{"title":"城市化条件下长三角城市生活用水量的收敛性及其影响因素","authors":"Dongying Sun, Yanxiao Wang, Mengxia Shi, Xuhui Ding","doi":"10.1080/1573062X.2023.2229299","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study employs panel data from 41 cities from 2010 to 2019 in the Yangtze River Delta. The entropy weight method is used to calculate the urbanization level. Then, the convergence, panel spatial econometric, and threshold regression models are adopted to examine the convergence and to identify the factors affecting water consumption. The following conclusions may be drawn: Spatial differences in the level of domestic water consumption show a trend of gradual reduction over time; there exists mutual influence of neighboring cities; urbanization positively affects domestic water consumption significantly; the spatial spillover effect of urbanization on domestic water consumption is significantly negative; the promotion effect of urbanization on domestic water consumption is nonlinear, and the promotion effect increases with the increase of the proportion of domestic water and the proportion of public service water. Then, targeted countermeasures are brought forward.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"1038 - 1051"},"PeriodicalIF":1.6000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Convergence and influencing factors of urban domestic water consumption in the Yangtze River Delta under urbanization\",\"authors\":\"Dongying Sun, Yanxiao Wang, Mengxia Shi, Xuhui Ding\",\"doi\":\"10.1080/1573062X.2023.2229299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This study employs panel data from 41 cities from 2010 to 2019 in the Yangtze River Delta. The entropy weight method is used to calculate the urbanization level. Then, the convergence, panel spatial econometric, and threshold regression models are adopted to examine the convergence and to identify the factors affecting water consumption. The following conclusions may be drawn: Spatial differences in the level of domestic water consumption show a trend of gradual reduction over time; there exists mutual influence of neighboring cities; urbanization positively affects domestic water consumption significantly; the spatial spillover effect of urbanization on domestic water consumption is significantly negative; the promotion effect of urbanization on domestic water consumption is nonlinear, and the promotion effect increases with the increase of the proportion of domestic water and the proportion of public service water. Then, targeted countermeasures are brought forward.\",\"PeriodicalId\":49392,\"journal\":{\"name\":\"Urban Water Journal\",\"volume\":\"20 1\",\"pages\":\"1038 - 1051\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Water Journal\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/1573062X.2023.2229299\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Water Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1573062X.2023.2229299","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Convergence and influencing factors of urban domestic water consumption in the Yangtze River Delta under urbanization
ABSTRACT This study employs panel data from 41 cities from 2010 to 2019 in the Yangtze River Delta. The entropy weight method is used to calculate the urbanization level. Then, the convergence, panel spatial econometric, and threshold regression models are adopted to examine the convergence and to identify the factors affecting water consumption. The following conclusions may be drawn: Spatial differences in the level of domestic water consumption show a trend of gradual reduction over time; there exists mutual influence of neighboring cities; urbanization positively affects domestic water consumption significantly; the spatial spillover effect of urbanization on domestic water consumption is significantly negative; the promotion effect of urbanization on domestic water consumption is nonlinear, and the promotion effect increases with the increase of the proportion of domestic water and the proportion of public service water. Then, targeted countermeasures are brought forward.
期刊介绍:
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...