Spatiotemporal Distribution of U5MR and Their Relationship with Geographic and Socioeconomic Factors in China

Zeng Li, Jingying Fu, Dong Jiang, Gang Lin, Donglin Dong and Xiaoxi Yan
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Zeng Li: College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Ding No.11 Xueyuan Road, Haidian District, Beijing 100083, China
Jingying Fu: Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China
Dong Jiang: Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China
Gang Lin: Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China
Donglin Dong: College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Ding No.11 Xueyuan Road, Haidian District, Beijing 100083, China
Xiaoxi Yan: Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China

IJERPH, 2017, vol. 14, issue 11, 1-12

Abstract: Epidemiological studies conducted around the world have reported that the under-five mortality rate (U5MR) is closely associated with income and educational attainment. However, geographic elements should also remain a major concern in further improving child health issues, since they often play an important role in the survival environment. This study was undertaken to investigate the relationship between the U5MR, geographic, and socioeconomic factors, and to explore the associated spatial variance of the relationship in China using the geographically weighted regression (GWR) model. The results indicate that the space pattern of a high U5MR had been narrowed notably during the period from 2001 to 2010. Nighttime lights (NL) and the digital elevation model (DEM) both have obvious influences on the U5MR, with the NL having a negative impact and DEM having a positive impact. Additionally, the relationship between the NL and DEM varied over space in China. Moreover, the relevance between U5MR and DEM was narrowed in 2010 compared to 2001, which indicates that the development of economic and medical standards can overcome geographical limits.

Keywords: U5MR; nighttime lights; digital elevation model; GWR (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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