The Impact of Mental Health Status on Health Consumption of the Elderly in China

Wen Liu, Guosheng Han, Xiangzi Yan, Xuan Zhang, Guangjie Ning, Armigon Ravshanovich Akhmedov and William Cannon Hunter
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Wen Liu: Business School, Shandong University, Weihai 264209, China
Guosheng Han: Business School, Shandong University, Weihai 264209, China
Xiangzi Yan: Business School, Shandong University, Weihai 264209, China
Xuan Zhang: Business School, Shandong University, Jinan 250100, China
Guangjie Ning: Business School, Shandong University, Weihai 264209, China
Armigon Ravshanovich Akhmedov: Department of Hotel Management, Graduate School, Kyung Hee University, Seoul 02447, Korea
William Cannon Hunter: Department of Convention Management, College of Hotel and Tourism, Kyung Hee University, Seoul 02447, Korea

IJERPH, 2021, vol. 18, issue 12, 1-17

Abstract: Based on the national baseline survey data of the CHARLS2015, the comprehensive evaluation index of depression degree of the elderly in China is calculated using a principal component analysis method. The Tobit model is used to investigate the influence of mental health status with depression degree as a proxy variable on the health consumption of the elderly in China. The results show that the overall effect and the phased effect of depression on the health consumption of the elderly are positive. In other words, high levels of depression lead to a higher probability and amount of health consumption. Research findings show that chronic illness and increased social activity can weaken the effect of depression on the health spending of the elderly. Fully considering the factors affecting the mental health of elderly people is required to improve their level of mental health. Importantly, the quality audit system of health products and the supervision and management system of the health consumption market should be improved to realize the benign operation of the health consumption market.

Keywords: elderly; health consumption; mental health; Tobit model; truncated data regression; principal component analysis; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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