Xiaoxuan Li , Wen Song , Shisong Cao , You Mo , Mingyi Du , Ziyue He
{"title":"多维城市化对可持续发展目标(SDGs)的影响:对中国 31 个省份的长期分析","authors":"Xiaoxuan Li , Wen Song , Shisong Cao , You Mo , Mingyi Du , Ziyue He","doi":"10.1016/j.ecolind.2024.112822","DOIUrl":null,"url":null,"abstract":"<div><div>Sustainable development, intimately linked to the survival of the global human population, has garnered immense attention. The rapid pace of urbanization has exerted a profound influence on the achievement and progress towards the United Nations’ Sustainable Development Goals (SDGs). Nevertheless, a knowledge gap persists regarding the comprehensive impact of urbanization on these goals. The present study delved into the multifaceted impacts of urbanization on SDGs through a comprehensive analysis of four distinct urbanization dimensions: land urbanization (LURB), economic urbanization (EURB), population urbanization (PURB), and social urbanization (SURB). We analyzed the spatiotemporal characteristics of the four-dimensional urbanizations in 31 provinces of China from 1995 to 2015 using impervious surface and statistical data. We employed the Spearman coefficient to investigate the interaction between urbanizations and 17 SDGs. Furthermore, we delved into how economic zone settings influenced these interactions. The results reveal that land expansion, GDP per capita, and the degree of social consumption exhibited stronger synergies with SDGs, whereas the share of the secondary sector and the urban population rate demonstrated more trade-off effects. This underscores the importance of considering the multifaceted nature of urbanization when striving to achieve the SDGs. Additionally, the diverse impact of urbanization patterns on SDG implementation across various economic zones emphasizes the need for tailored and region-specific strategies to maximize the positive outcomes of urbanization and promote sustainable development.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"169 ","pages":"Article 112822"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of multidimensional urbanization on sustainable development goals (SDGs): A long-term analysis of the 31 provinces in China\",\"authors\":\"Xiaoxuan Li , Wen Song , Shisong Cao , You Mo , Mingyi Du , Ziyue He\",\"doi\":\"10.1016/j.ecolind.2024.112822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Sustainable development, intimately linked to the survival of the global human population, has garnered immense attention. The rapid pace of urbanization has exerted a profound influence on the achievement and progress towards the United Nations’ Sustainable Development Goals (SDGs). Nevertheless, a knowledge gap persists regarding the comprehensive impact of urbanization on these goals. The present study delved into the multifaceted impacts of urbanization on SDGs through a comprehensive analysis of four distinct urbanization dimensions: land urbanization (LURB), economic urbanization (EURB), population urbanization (PURB), and social urbanization (SURB). We analyzed the spatiotemporal characteristics of the four-dimensional urbanizations in 31 provinces of China from 1995 to 2015 using impervious surface and statistical data. We employed the Spearman coefficient to investigate the interaction between urbanizations and 17 SDGs. Furthermore, we delved into how economic zone settings influenced these interactions. The results reveal that land expansion, GDP per capita, and the degree of social consumption exhibited stronger synergies with SDGs, whereas the share of the secondary sector and the urban population rate demonstrated more trade-off effects. This underscores the importance of considering the multifaceted nature of urbanization when striving to achieve the SDGs. Additionally, the diverse impact of urbanization patterns on SDG implementation across various economic zones emphasizes the need for tailored and region-specific strategies to maximize the positive outcomes of urbanization and promote sustainable development.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"169 \",\"pages\":\"Article 112822\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X24012792\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X24012792","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
The impact of multidimensional urbanization on sustainable development goals (SDGs): A long-term analysis of the 31 provinces in China
Sustainable development, intimately linked to the survival of the global human population, has garnered immense attention. The rapid pace of urbanization has exerted a profound influence on the achievement and progress towards the United Nations’ Sustainable Development Goals (SDGs). Nevertheless, a knowledge gap persists regarding the comprehensive impact of urbanization on these goals. The present study delved into the multifaceted impacts of urbanization on SDGs through a comprehensive analysis of four distinct urbanization dimensions: land urbanization (LURB), economic urbanization (EURB), population urbanization (PURB), and social urbanization (SURB). We analyzed the spatiotemporal characteristics of the four-dimensional urbanizations in 31 provinces of China from 1995 to 2015 using impervious surface and statistical data. We employed the Spearman coefficient to investigate the interaction between urbanizations and 17 SDGs. Furthermore, we delved into how economic zone settings influenced these interactions. The results reveal that land expansion, GDP per capita, and the degree of social consumption exhibited stronger synergies with SDGs, whereas the share of the secondary sector and the urban population rate demonstrated more trade-off effects. This underscores the importance of considering the multifaceted nature of urbanization when striving to achieve the SDGs. Additionally, the diverse impact of urbanization patterns on SDG implementation across various economic zones emphasizes the need for tailored and region-specific strategies to maximize the positive outcomes of urbanization and promote sustainable development.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.