Combining life cycle assessment and dynamic qualitative comparative analysis to analyze the environmental impacts of urban development across different provinces in China
{"title":"Combining life cycle assessment and dynamic qualitative comparative analysis to analyze the environmental impacts of urban development across different provinces in China","authors":"Xinxin Wang , Bingbing Zhang , Yong Qin , Zeshui Xu , Marinko Skare","doi":"10.1016/j.spc.2024.09.026","DOIUrl":null,"url":null,"abstract":"<div><div>Examining the environmental pollution landscape is a vital link for urban development. Across production, distribution, and usage stages of 24 provinces in China between 2010 and 2019, this study conducts Life Cycle Assessment and Dynamic Qualitative Comparative Analysis to explore the effects of conditional combination on environmental impact assessment indicators including Photochemical Oxidation, Eutrophication, Global Warming Potential, Human Toxicity, and Acidification. The results reveal that: (1) Shandong contributes most significantly to environmental impact assessment indicators in the production and distribution stages, while Inner Mongolia dominates the usage stage. In contrast, Beijing, Hainan, and Shanghai show lower contributions, though Hainan exhibits a rising trend in the Global Warming Potential index across all stages; (2) The production stage consistently accounts for the largest environmental impact, with notable differences in contributions from Beijing, Ningxia, Inner Mongolia, and Shanghai across the three stages; (3) Environmental impact is not driven by individual factors alone; rather, it is the combination of factors that proves influential. Complex nonlinear relationships are revealed between energy consumption patterns and environmental impacts in the production stage. The combination of transport operating distance and traffic volume has an interaction during the distribution stage. The usage stage leads only to the environmental impact of Eutrophication, which is caused by the resident population and ecological water consumption excluding residential water use. These findings present a new strategy for optimizing energy structure and water resource utilization, and emphasize the synergies to reduce the environmental impacts, providing instrumental implications for policymakers and government managers in environmental management and urbanization development.</div></div>","PeriodicalId":48619,"journal":{"name":"Sustainable Production and Consumption","volume":"51 ","pages":"Pages 457-473"},"PeriodicalIF":10.9000,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Production and Consumption","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352550924002835","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Examining the environmental pollution landscape is a vital link for urban development. Across production, distribution, and usage stages of 24 provinces in China between 2010 and 2019, this study conducts Life Cycle Assessment and Dynamic Qualitative Comparative Analysis to explore the effects of conditional combination on environmental impact assessment indicators including Photochemical Oxidation, Eutrophication, Global Warming Potential, Human Toxicity, and Acidification. The results reveal that: (1) Shandong contributes most significantly to environmental impact assessment indicators in the production and distribution stages, while Inner Mongolia dominates the usage stage. In contrast, Beijing, Hainan, and Shanghai show lower contributions, though Hainan exhibits a rising trend in the Global Warming Potential index across all stages; (2) The production stage consistently accounts for the largest environmental impact, with notable differences in contributions from Beijing, Ningxia, Inner Mongolia, and Shanghai across the three stages; (3) Environmental impact is not driven by individual factors alone; rather, it is the combination of factors that proves influential. Complex nonlinear relationships are revealed between energy consumption patterns and environmental impacts in the production stage. The combination of transport operating distance and traffic volume has an interaction during the distribution stage. The usage stage leads only to the environmental impact of Eutrophication, which is caused by the resident population and ecological water consumption excluding residential water use. These findings present a new strategy for optimizing energy structure and water resource utilization, and emphasize the synergies to reduce the environmental impacts, providing instrumental implications for policymakers and government managers in environmental management and urbanization development.
期刊介绍:
Sustainable production and consumption refers to the production and utilization of goods and services in a way that benefits society, is economically viable, and has minimal environmental impact throughout its entire lifespan. Our journal is dedicated to publishing top-notch interdisciplinary research and practical studies in this emerging field. We take a distinctive approach by examining the interplay between technology, consumption patterns, and policy to identify sustainable solutions for both production and consumption systems.