Do Charitable Foundations Spend Money Where People Need It Most? A Spatial Analysis of China
AbstractCharitable foundations are a critical part of public services. However, there is a large gap between the locations and expenditures of charitable foundations and the real population needs for most nations. Three types of Chinese local charity foundations, i.e., those for poverty, education and medical assistance, are used as examples to explore the distinct gaps. The spatial distributions of local charity foundations are characterized by spatial scan statistics and spatial autocorrelation models. The local population needs of charitable assistance for poverty, education and medical services are quantified with their respective weighted proxy indexes of the current conditions. Thus, the nonlinear relationships between population needs and the expenditures of local charitable foundations are described with generalized additive models. The results show that both the participation rate and the charity expenditures of the foundations are highly clustered within a few cities where the population needs are relatively small and are furthermore rare among the other cities. The charity expenditures of local foundations are nonlinearly correlated with the current conditions of socioeconomic development, education and medical levels due to the diverse development stages of the cities. This study provides quantitative evidence for local authorities and charitable foundations to make targeted and constructive decisions to gradually reduce the distinct gaps. View Full-Text
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Song, Y.; Fu, L. Do Charitable Foundations Spend Money Where People Need It Most? A Spatial Analysis of China. ISPRS Int. J. Geo-Inf. 2018, 7, 100.
Song Y, Fu L. Do Charitable Foundations Spend Money Where People Need It Most? A Spatial Analysis of China. ISPRS International Journal of Geo-Information. 2018; 7(3):100.Chicago/Turabian Style
Song, Yongze; Fu, Linyun. 2018. "Do Charitable Foundations Spend Money Where People Need It Most? A Spatial Analysis of China." ISPRS Int. J. Geo-Inf. 7, no. 3: 100.
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