{"title":"中国数字经济空间关联特征分析","authors":"Diexin Chen","doi":"10.1117/12.2670334","DOIUrl":null,"url":null,"abstract":"Based on the data of China's regional input-output in 2007-2017, taking the digital economy output gravity between 30 provinces and cities in China as the research object, a spatial correlation matrix is constructed, and the social network analysis method is used to analyze the overall and individual spatial correlation of China's digital economy. The research results provide reference for effectively strengthening the spatial correlation of digital economy and promoting regional coordinated development.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis on spatial correlation characteristics of China's digital economy\",\"authors\":\"Diexin Chen\",\"doi\":\"10.1117/12.2670334\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the data of China's regional input-output in 2007-2017, taking the digital economy output gravity between 30 provinces and cities in China as the research object, a spatial correlation matrix is constructed, and the social network analysis method is used to analyze the overall and individual spatial correlation of China's digital economy. The research results provide reference for effectively strengthening the spatial correlation of digital economy and promoting regional coordinated development.\",\"PeriodicalId\":202840,\"journal\":{\"name\":\"International Conference on Mathematics, Modeling and Computer Science\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Mathematics, Modeling and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2670334\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Mathematics, Modeling and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2670334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on spatial correlation characteristics of China's digital economy
Based on the data of China's regional input-output in 2007-2017, taking the digital economy output gravity between 30 provinces and cities in China as the research object, a spatial correlation matrix is constructed, and the social network analysis method is used to analyze the overall and individual spatial correlation of China's digital economy. The research results provide reference for effectively strengthening the spatial correlation of digital economy and promoting regional coordinated development.
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