The main aim of sustainable development is to increase the quality of life and resident happiness as the latter is one of the most important indicators for the assessment of quality of life. However, due to the uncertainty of economic policies, it will not only have a direct impact on resident well-being but may also indirectly affect resident well-being through specific channels. The economic policies are aimed at the achievement of sustainable development, therefore it is very important to investigate the influences of the uncertainty of economic policies on resident happiness. This allows to assess the sustainability of policies in terms of their inputs to the quality of life. The direct impact of economic policy uncertainty on resident well-being and the mediating effects of household asset allocation and the expectation on the above influencing relationship were analyzed based on the uncertainty index of China’s economic policies and households database of China Family Panel Studies (CFPS) during the period 2010–2018, so as to clarify the complete path of economic policy uncertainty affecting resident happiness. Results show that the uncertainty of economic policy significantly reduces resident happiness. In the context of the uncertainty of economic policies, families can relieve such negative impacts as an increasing proportion of financial assets in their total assets. However, decreases in asset shares for household consumer goods and future expectation obviously lower resident happiness. The research conclusions provide important input in research on the influences of the uncertainty of economic policy on the quality of life and offer new evidences for the development of “happiness economics”.
Monetary policy uncertainty (MPU) not only imposes a great impact on the systematic financial risks of a country but also generates a significant spillover effect on countries having close economic exchanges with the former under the background of global economic integration. With the daily return rates of 64 listed financial companies in China from February 2006 to September 2020 used as the samples, China’s systematic financial risks were measured in this research by using long-run marginal expected shortfall (LRMES). On this basis, an FAVAR model with time-varying parameters was constructed to empirically investigate the spillover effect of US MPU on China’s systematic financial risks and its main transmission channels. Results showed that within the sample period (February 2006 – September 2020), US MPU generated a significant positive spillover effect on China’s systematic financial risks, namely, China’s systematic financial risks would be aggravated if the level of US MPU was elevated. From different time intervals, the spillover level was particularly high during global financial crises and global COVID-19 pandemic, indicating that the spillover effect of MPU is nonlinear and closely related to global major sudden risk events. Through the further research, it is found that this effect is mainly transmitted through short-term capital flow, interest rate, and economic uncertainty-induced channels, among which the short-term capital flow is the most important.
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