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This paper establishes a quantitative model based on the system dynamics (SD) theory to reflect the 'socioeconomic–water–environment' coupling system and proposes three future development scenarios. Hubei province, China, is selected to verify this model. The simulation results from 2020 to 2030 demonstrate that the pressures of water supply and demand and pollution under the sustainable development scenario are less than those under two other scenarios. It means that adjustment of the industrial structure has a relatively weaker effect on alleviating the pressure of water supply and demand. Saving water and controlling pollution should be the emphasis of current efforts. [ABSTRACT FROM AUTHOR]

This study documents the COVID-19 disease-control measures enacted in rural China and examines the economic and social impacts of these measures. We conducted two rounds of surveys with 726 randomly selected village informants across seven provinces. Strict disease-control measures have been universally enforced and appear to have been successful in limiting disease transmission in rural communities. The infection rate in our sample was 0.001 per cent, a rate that is near the national average outside of Hubei province. None of the villages reported any COVID-19-related deaths. For a full month during the quarantine, the rate of employment of rural workers was essentially zero. Even after the quarantine measures were lifted, nearly 70 per cent of the villagers still were unable to work owing to workplace closures. Although action has been taken to mitigate the potential negative effects, these disease-control measures might have accelerated the inequality between rural and urban households in China. [ABSTRACT FROM AUTHOR]