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. Issue 4 (2nd October 2022)

• Record Type: Journal Article
• Authors: Coulibaly, Thierry Yerema; Wakamatsu, Mihoko Tegawa; Managi, Shunsuke
• Is Part Of: Area development and policy. Volume 7:Issue 4(2022)
• Page Start: 463
• Page End: 481
• Publication Date: 2022-10-02
• Subjects: economic index -- satellite data -- predicting income -- spatial econometrics -- mega-event -- World Cup -- South Africa; C01, C53, F69, O11; 经济指标 -- 卫星数据 -- 预测收入 -- 空间计量经济学 -- 大型活动 -- 世界杯 -- 南非; índice económico -- datos por satélite -- predicción de ingresos -- econometría espacial -- mega evento -- Copa Mundial -- Sudáfrica; Экономический индекс -- спутниковые данные -- прогнозирование доходов -- пространственная эконометрика -- мега-событие -- Чемпионат мира -- Южная Африка; Regional planning -- BRIC countries -- Periodicals; Economic development -- BRIC countries -- Periodicals; Rural-urban relations -- BRIC countries -- Periodicals; Human geography -- BRIC countries -- Periodicals; Regional planning -- Developing countries -- Periodicals; Economic development -- Developing countries -- Periodicals; Rural-urban relations -- Periodicals; Human geography -- Developing countries -- Periodicals; 338.90091724
• DOI: 10.1080/23792949.2022.2030774
• Languages: English
• ISSNs: 2379-2949

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.