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

IF 1.8 Q3 DEVELOPMENT STUDIES Area Development and Policy Pub Date : 2022-03-07 DOI:10.1080/23792949.2022.2030774
T. Coulibaly, M. Wakamatsu, Shunsuke Managi
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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.
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利用地理加权回归来改进卫星夜间灯光数据的信息,以评估2010年FIFA世界杯的经济影响
摘要发展中国家缺乏国家以下各级的数据来评估大型活动。因此,通过在夜光数据和城市总收入之间进行地理加权回归,并用它来预测1992年至2013年的总收入,开发了一种经济指标,以量化举办2010年国际足联世界杯的南非城市经济的城市收入增长。对主办城市和非主办城市收入增长的面板数据比较显示,收入增长相似。然而,在体育场建设或翻新方面投资最多的城市的收入增长率比其他主办城市低9%,这表明世界杯刺激经济增长的能力有限,投资效率低下。
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来源期刊
Area Development and Policy
Area Development and Policy DEVELOPMENT STUDIES-
CiteScore
6.10
自引率
13.80%
发文量
27
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