{"title":"关闭大城市，打开小城市:冠状病毒如何与人口变量相关","authors":"Preet Deep Singh","doi":"10.2139/ssrn.3569747","DOIUrl":null,"url":null,"abstract":"Using district level demographic variables from three states of India, we show how corona cases are correlated. We find that districts with high population density, international airports and high population are positively correlated with Corona cases. We also see a negative correlation with Sex Ratio. This study can have implications for policymakers to decide which districts to lock down.","PeriodicalId":424970,"journal":{"name":"Emerging Markets Economics: Industrial Policy & Regulation eJournal","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Close the Big Cities, Open the Small Ones: How Corona Correlates with Demographic Variables\",\"authors\":\"Preet Deep Singh\",\"doi\":\"10.2139/ssrn.3569747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using district level demographic variables from three states of India, we show how corona cases are correlated. We find that districts with high population density, international airports and high population are positively correlated with Corona cases. We also see a negative correlation with Sex Ratio. This study can have implications for policymakers to decide which districts to lock down.\",\"PeriodicalId\":424970,\"journal\":{\"name\":\"Emerging Markets Economics: Industrial Policy & Regulation eJournal\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Emerging Markets Economics: Industrial Policy & Regulation eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3569747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emerging Markets Economics: Industrial Policy & Regulation eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3569747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Close the Big Cities, Open the Small Ones: How Corona Correlates with Demographic Variables
Using district level demographic variables from three states of India, we show how corona cases are correlated. We find that districts with high population density, international airports and high population are positively correlated with Corona cases. We also see a negative correlation with Sex Ratio. This study can have implications for policymakers to decide which districts to lock down.
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