{"title":"Spatial distribution characteristics and influencing causes of CE in the YREB1","authors":"Jia You, Baoshuai Zhang, Jun Duan","doi":"10.3233/jcm-226844","DOIUrl":null,"url":null,"abstract":"A variety of measurement methods were used comprehensively in this paper to conduct empirical research on the CE, spatial pattern characteristics and influencing causes of the YREB. Both the total factor CE and the single factor CE were discovered relatively stable. Starting around 2013, the development of the tail cities of the YREB has gradually improved. In addition to Sichuan, Hunan, Chongqing, Hubei and other places where the increase in CE had exceeded that of other cities, the development of CE in Shanghai has also increased significantly. The CE of the YREB had increased with a significant positive spatial autocorrelation and a significant spatial aggregation effect between 2006 and 2017. The spatial spillover effect of CE in the YREB is mainly transmit through factors such as economic growth, energy structure, industrial structure, government intervention, population density, foreign direct investment and the level of marketization, and the spatial interaction between each factor and CE cannot be ignored.","PeriodicalId":45004,"journal":{"name":"Journal of Computational Methods in Sciences and Engineering","volume":"111 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Methods in Sciences and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jcm-226844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A variety of measurement methods were used comprehensively in this paper to conduct empirical research on the CE, spatial pattern characteristics and influencing causes of the YREB. Both the total factor CE and the single factor CE were discovered relatively stable. Starting around 2013, the development of the tail cities of the YREB has gradually improved. In addition to Sichuan, Hunan, Chongqing, Hubei and other places where the increase in CE had exceeded that of other cities, the development of CE in Shanghai has also increased significantly. The CE of the YREB had increased with a significant positive spatial autocorrelation and a significant spatial aggregation effect between 2006 and 2017. The spatial spillover effect of CE in the YREB is mainly transmit through factors such as economic growth, energy structure, industrial structure, government intervention, population density, foreign direct investment and the level of marketization, and the spatial interaction between each factor and CE cannot be ignored.
期刊介绍：
The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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