The use of geographically weighted regression to improve information from satellite night light data in evaluating the economic effects of the 2010 FIFA World Cup
{"title":"The use of geographically weighted regression to improve information from satellite night light data in evaluating the economic effects of the 2010 FIFA World Cup","authors":"T. Coulibaly, M. Wakamatsu, Shunsuke Managi","doi":"10.1080/23792949.2022.2030774","DOIUrl":null,"url":null,"abstract":"ABSTRACT Developing countries lack subnational data to assess mega-events. Accordingly, an economic proxy is developed to quantify city-level income growth of economies of the South African cities that hosted the 2010 FIFA World Cup by performing a geographically weighted regression between night light data and total city-level income and using it to predict total income from 1992 to 2013. A panel data comparison of income growth in host and non-host cities revealed similar income growth. However, the cities that invested the most in building or renovating their stadia experienced 9% lower income growth than other host cities, suggesting the limited ability of the World Cup to stimulate economic growth and the presence of inefficient investment.","PeriodicalId":31513,"journal":{"name":"Area Development and Policy","volume":"7 1","pages":"463 - 481"},"PeriodicalIF":1.8000,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Area Development and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23792949.2022.2030774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
引用次数: 2
Abstract
ABSTRACT Developing countries lack subnational data to assess mega-events. Accordingly, an economic proxy is developed to quantify city-level income growth of economies of the South African cities that hosted the 2010 FIFA World Cup by performing a geographically weighted regression between night light data and total city-level income and using it to predict total income from 1992 to 2013. A panel data comparison of income growth in host and non-host cities revealed similar income growth. However, the cities that invested the most in building or renovating their stadia experienced 9% lower income growth than other host cities, suggesting the limited ability of the World Cup to stimulate economic growth and the presence of inefficient investment.