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Published on: February 22, 2018
Spatial inequality in depression among middle-aged and older adults in China: Evidence from a regression-based
Guangchuan Zhao1, Jian Sun2, Chen Su3
1School of Economics, Fudan University, Shanghai 200433, China; School of Public Administration, Nanjing University of Finance & Economics, Nanjing 210023, China; Institute of Social Security, Nanjing University of Finance & Economics, Nanjing 210023, China.
Abstract:
Drawing on Lefebvre's spatial theory, this paper conceptualizes spatial inequality in depression. Using data from the China Health and Retirement Longitudinal Study and Shapley value decomposition approach, this paper quantifies spatial inequality in depression and assesses its contribution to total depression inequality among middle-aged and older adults in China. The findings reveal that the average value for Gini coefficient of spatial inequality in depression is 0.103, and the relative contribution rate to total inequality is 24.91 %. Notably, the contribution of urban-rural institutional space to spatial inequality exceeds that of eastern-central-western-northeastern physical space. Moreover, there is a significant upward trend in total spatial inequality. The primary policy implication underscores the need to narrow the inequality in depression and prioritize the equilibrium of urban and rural institutional space in mental health development.
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