{"title":"Difference and Influencing Factors of the City Logistics Development Level in China","authors":"Man Zhang, Zheng Kou","doi":"10.1002/cpe.70012","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Urban logistics is an important bridge connecting urban supply and demand, and its development level is crucial to urban economic development. To explore the development level, spatial and temporal differences, and influencing factors of urban logistics in China, this article uses the entropy weight method, Theil index, and hierarchical regression model to analyze the panel data of urban logistics in 31 provinces (autonomous regions and municipalities) in China. The research conclusion provides a reference for the government to formulate a balanced development policy for urban logistics. It has important practical significance for guiding logistics enterprises to adjust their regional distribution.</p>\n </div>","PeriodicalId":55214,"journal":{"name":"Concurrency and Computation-Practice & Experience","volume":"37 4-5","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Concurrency and Computation-Practice & Experience","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpe.70012","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Urban logistics is an important bridge connecting urban supply and demand, and its development level is crucial to urban economic development. To explore the development level, spatial and temporal differences, and influencing factors of urban logistics in China, this article uses the entropy weight method, Theil index, and hierarchical regression model to analyze the panel data of urban logistics in 31 provinces (autonomous regions and municipalities) in China. The research conclusion provides a reference for the government to formulate a balanced development policy for urban logistics. It has important practical significance for guiding logistics enterprises to adjust their regional distribution.
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