{"title":"一个独特的银行指数与地理参考数据与阿根廷的应用程序","authors":"F. García","doi":"10.17230/ECOS.2017.45.2","DOIUrl":null,"url":null,"abstract":"espanolEste trabajo construye un Indice de Bancarizacion (IB) usando informacion georreferenciada de la zona central de la Argentina a partir de las dos primeras componentes principales obtenidas aplicando la metodologia MULTISPATI que permite una mejor visualizacion de la variabilidad espacial. A pesar de observar un peso relativo similar de los indicadores parciales utilizados para medir las dimensiones de analisis de la bancarizacion sobre la primera componente, no sucede lo mismo sobre la segunda donde se detectan diferencias. El IB revela un nivel de bancarizacion heterogeneo dentro del area central de Argentina. EnglishThis paper constructs a Banking Index (BI) of geographic coverage and applies it to the central area of Argentina. The Index is created using georeferenced data from the first two principal components obtained applying MULTISPATI methodology, which facilitates visualization of the spatial distribution of coverage. Although the relative weights are similar for the partial indicators used to measure the first component of the Banking Index, some differences are detected in the weights for the second component. The BI reveals a heterogeneous level of banking coverage within the central area of Argentina.","PeriodicalId":40682,"journal":{"name":"Ecos de Economia","volume":"21 1","pages":"24-38"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Un índice único de bancarización con datos georreferenciados con Una aplicación para la Argentina\",\"authors\":\"F. García\",\"doi\":\"10.17230/ECOS.2017.45.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"espanolEste trabajo construye un Indice de Bancarizacion (IB) usando informacion georreferenciada de la zona central de la Argentina a partir de las dos primeras componentes principales obtenidas aplicando la metodologia MULTISPATI que permite una mejor visualizacion de la variabilidad espacial. A pesar de observar un peso relativo similar de los indicadores parciales utilizados para medir las dimensiones de analisis de la bancarizacion sobre la primera componente, no sucede lo mismo sobre la segunda donde se detectan diferencias. El IB revela un nivel de bancarizacion heterogeneo dentro del area central de Argentina. EnglishThis paper constructs a Banking Index (BI) of geographic coverage and applies it to the central area of Argentina. The Index is created using georeferenced data from the first two principal components obtained applying MULTISPATI methodology, which facilitates visualization of the spatial distribution of coverage. Although the relative weights are similar for the partial indicators used to measure the first component of the Banking Index, some differences are detected in the weights for the second component. The BI reveals a heterogeneous level of banking coverage within the central area of Argentina.\",\"PeriodicalId\":40682,\"journal\":{\"name\":\"Ecos de Economia\",\"volume\":\"21 1\",\"pages\":\"24-38\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecos de Economia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17230/ECOS.2017.45.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecos de Economia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17230/ECOS.2017.45.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Un índice único de bancarización con datos georreferenciados con Una aplicación para la Argentina
espanolEste trabajo construye un Indice de Bancarizacion (IB) usando informacion georreferenciada de la zona central de la Argentina a partir de las dos primeras componentes principales obtenidas aplicando la metodologia MULTISPATI que permite una mejor visualizacion de la variabilidad espacial. A pesar de observar un peso relativo similar de los indicadores parciales utilizados para medir las dimensiones de analisis de la bancarizacion sobre la primera componente, no sucede lo mismo sobre la segunda donde se detectan diferencias. El IB revela un nivel de bancarizacion heterogeneo dentro del area central de Argentina. EnglishThis paper constructs a Banking Index (BI) of geographic coverage and applies it to the central area of Argentina. The Index is created using georeferenced data from the first two principal components obtained applying MULTISPATI methodology, which facilitates visualization of the spatial distribution of coverage. Although the relative weights are similar for the partial indicators used to measure the first component of the Banking Index, some differences are detected in the weights for the second component. The BI reveals a heterogeneous level of banking coverage within the central area of Argentina.