Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016
Lingbo Liu,
Yuni Zhong,
Siya Ao and
Hao Wu
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Lingbo Liu: Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Yuni Zhong: Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Siya Ao: Department of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China
Hao Wu: Department of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China
IJERPH, 2019, vol. 16, issue 14, 1-21
Abstract:
Urban green space has been proven effective in improving public health in the contemporary background of planetary urbanization. There is a growing body of literature investigating the relationship between non-communicable diseases (NCDs) and green space, whereas seldom has the correlation been explored between green space and epidemics, such as dysentery, tuberculosis, and malaria, which still threaten the worldwide situation of public health. Meanwhile, most studies explored healthy issues with the general green space, public green space, and green space coverage, respectively, among which the different relevance has been rarely explored. This study aimed to examine and compare the relevance between these three kinds of green space and incidences of the three types of epidemic diseases based on the Panel Data Model (PDM) with the time series data of 31 Chinese provinces from 2007 to 2016. The results indicated that there exists different, or even opposite, relevance between various kinds of green space and epidemic diseases, which might be associated with the process of urban sprawl in rapid urbanization in China. This paper provides a reference for re-thinking the indices of green space in building healthier and greener cities.
Keywords: urban green space; public green space; green space coverage; epidemic diseases; panel data model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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