He Fu-Mei, Chang Tsangyao, Dou Zhen-Jiang, Li Fangjhy, Chang Ke-Chiun
School of Finance, Nanjing University of Finance and Economics, Nanjing, China.
School of Finance, Tongling University, Tongling, China.
Front Public Health. 2019 Dec 20;7:380. doi: 10.3389/fpubh.2019.00380. eCollection 2019.
This paper uses the 74-dimensional macroeconomic data set from 2005 to 2017 as a sample to construct a TVP-FAVAR model to empirically study the impact of China's economic growth on the health of residents. The study found that China's economic growth has an impact on the health of residents and is transformed into changes in the macroeconomic environment that exhibit non-linear time-varying characteristics. Specifically: (1) During the period of steady economic growth, China's economic growth has caused a significant increase in population mortality rate, infectious disease mortality rate, medical expenses of residents, traffic accident rate, neonatal mortality rate, and tumor mortality rate; (2) During the financial crisis, the positive impact of economic growth on population mortality rate, infectious disease mortality rate, traffic accident rate, and neonatal mortality rate was significantly reduced, while the medical expenses of residents, tumor mortality rate, and cardiovascular morbidity rate and the incidence of mental illness rate has a more obvious inhibitory effect; (3) In the period of sustained economic downturn, the positive impact of economic growth on overall population mortality rate, infectious disease incidence rate, traffic accident rate, and neonatal mortality rate continues to decrease, still negatively affecting the incidence of mental illness rate and cardiovascular morbidity rate. In this paper, we suggested that the Chinese government further promote the transformation of the economic growth model in the new normal economic stage, increase public health fiscal expenditure, and realize an economic development evaluation system that is oriented toward improving the health of residents.
本文以2005年至2017年的74维宏观经济数据集为样本,构建时变参数因子增强向量自回归(TVP-FAVAR)模型,实证研究中国经济增长对居民健康的影响。研究发现,中国经济增长对居民健康产生影响,并转化为具有非线性时变特征的宏观经济环境变化。具体而言:(1)在经济稳定增长时期,中国经济增长导致人口死亡率、传染病死亡率、居民医疗费用、交通事故率、新生儿死亡率和肿瘤死亡率显著上升;(2)金融危机期间,经济增长对人口死亡率、传染病死亡率、交通事故率和新生儿死亡率的正向影响显著降低,而对居民医疗费用、肿瘤死亡率、心血管发病率和精神疾病发病率有更明显的抑制作用;(3)在经济持续低迷时期,经济增长对总体人口死亡率、传染病发病率、交通事故率和新生儿死亡率的正向影响持续下降,对精神疾病发病率和心血管发病率仍有负面影响。本文建议中国政府在经济新常态阶段进一步推动经济增长模式转变,增加公共卫生财政支出,实现以改善居民健康为导向的经济发展评价体系。