Although the COVID-19 outbreak initially mainly affected highly urbanized settings, eventually it will reach rural and remote populations resulting in even worse outcomes due to the lack of access to testing, health care and slower implementation of nonpharmaceutical interventions. Here we describe the containment efforts in rural China.
This paper analyzes the impact of macroeconomic variables on house price volatility under different regimes of policy uncertainty, incorporating the Economic Policy Uncertainty Index and several Chinese macroeconomic data sets for the period from 1999 to 2014. We adopt a logistic smooth transition vector autoregressive model and a generalized impulse response function. The results show that macroeconomic progress leads to house price growth, which is augmented by policy uncertainty. In addition, the effect of macroeconomic shocks on house price volatility varies under different regimes of policy uncertainty. We find that shocks are asymmetric under regimes of high and low policy uncertainty. Under a high policy uncertainty regime, expansionary quantitative monetary policy can facilitate house price growth, whereas a contractionary monetary policy gives rise to an enduring "Home Price Puzzle," which makes it difficult to regulate house prices.
Our results suggested cattle might be dominant hosts in SFTS-endemic regions in Hubei Province, which provided clues to transmission mechanism of "vectors, host animals, and humans", thus more effectively preventing and controlling the disease.
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