Uma abordagem de econometria espacial para a relação entre o crédito e o crescimento econômico dos municípios do Espírito Santo, Brasil, no período de 2006 a 2018
{"title":"Uma abordagem de econometria espacial para a relação entre o crédito e o crescimento econômico dos municípios do Espírito Santo, Brasil, no período de 2006 a 2018","authors":"Jandir Fraga Junior, Edson Zambon Monte","doi":"10.5935/1808-2785/rem.v20n1p.232-258","DOIUrl":null,"url":null,"abstract":"The main aim of this work was to verify the effects of credit on the economic growth of the municipalities of Espírito Santo, in the period from 2006 to 2018, using spatial econometrics for panel data. According to the results, all estimated spatial models revealed significant spatial effects, and the Durbin spatial model (SDM) presented the best fit when using the Akaike information criterion (AIC). The main results show that the variables credit supply and number of branches, without spatial lag, were significant and positively correlated with the economic growth of the municipalities. In addition, there were spatial spillover effects of the variables credit supply, number of branches and GDP per capita on the economic growth of municipalities. It is noteworthy that the variables number of branches","PeriodicalId":34129,"journal":{"name":"Revista de Economia Mackenzie","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de Economia Mackenzie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5935/1808-2785/rem.v20n1p.232-258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The main aim of this work was to verify the effects of credit on the economic growth of the municipalities of Espírito Santo, in the period from 2006 to 2018, using spatial econometrics for panel data. According to the results, all estimated spatial models revealed significant spatial effects, and the Durbin spatial model (SDM) presented the best fit when using the Akaike information criterion (AIC). The main results show that the variables credit supply and number of branches, without spatial lag, were significant and positively correlated with the economic growth of the municipalities. In addition, there were spatial spillover effects of the variables credit supply, number of branches and GDP per capita on the economic growth of municipalities. It is noteworthy that the variables number of branches