{"title":"统计方法在城市经济与生活水平研究中的应用——以中国2003—2008年为例","authors":"Wenjing Cao","doi":"10.1109/COMGEO.2013.21","DOIUrl":null,"url":null,"abstract":"In recent years, statistical methods are used more and more in the field of economic and living standard, which is a very important indicator reflecting the degree of society development and peoples' living quality. This paper uses 14 economic and living indexes to analyze and evaluate economic and living standard of China from year 2003 and 2008. The results show that three components can be extracted as 'income and expense capability', 'asset investment situation' and 'whole economical strength (poor or rich)' from these 14 indexes. Besides, all study areas in this study can be divided into three groups according to their living standard, which is related with development degree and geographical location.","PeriodicalId":383309,"journal":{"name":"2013 Fourth International Conference on Computing for Geospatial Research and Application","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Statistical Methods in City Economic and Living Standard Study: A Case of China (2003 -- 2008)\",\"authors\":\"Wenjing Cao\",\"doi\":\"10.1109/COMGEO.2013.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, statistical methods are used more and more in the field of economic and living standard, which is a very important indicator reflecting the degree of society development and peoples' living quality. This paper uses 14 economic and living indexes to analyze and evaluate economic and living standard of China from year 2003 and 2008. The results show that three components can be extracted as 'income and expense capability', 'asset investment situation' and 'whole economical strength (poor or rich)' from these 14 indexes. Besides, all study areas in this study can be divided into three groups according to their living standard, which is related with development degree and geographical location.\",\"PeriodicalId\":383309,\"journal\":{\"name\":\"2013 Fourth International Conference on Computing for Geospatial Research and Application\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on Computing for Geospatial Research and Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMGEO.2013.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on Computing for Geospatial Research and Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMGEO.2013.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Statistical Methods in City Economic and Living Standard Study: A Case of China (2003 -- 2008)
In recent years, statistical methods are used more and more in the field of economic and living standard, which is a very important indicator reflecting the degree of society development and peoples' living quality. This paper uses 14 economic and living indexes to analyze and evaluate economic and living standard of China from year 2003 and 2008. The results show that three components can be extracted as 'income and expense capability', 'asset investment situation' and 'whole economical strength (poor or rich)' from these 14 indexes. Besides, all study areas in this study can be divided into three groups according to their living standard, which is related with development degree and geographical location.