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Rational assessment of the regional sustainable development level is an important prerequisite for formulating development strategies and achieving the UN Sustainable Development Goals (SDGs). Currently, little literature provides nuanced understanding for national sustainable development from the perspective of county sustainability. Such studies can provide more accurate regional heterogeneity characteristics and policy decision support. Thus, this paper applies the entropy weight method and Chinese county data from 2000 to 2017 to reassess the sustainability of Chinese counties. The results show that China's county sustainability (Sustainable Development Index, SDI) is slowly improving. County sustainability performance is poorer in ethnic minority agglomerations, poor counties, old revolutionary counties, and central and western regions, better in county-level cities and eastern regions. The decomposition results show that economic sustainability and environmental sustainability are the main supporters of SDI growth, and livelihood sustainability is in urgent need of improvement. The regional inequality of SDI in Chinese counties gradually decreases, and inter-group differences are the main contributors to regional inequality in SDI. This paper provides support for China to develop county-level sustainable development measures and practice the SDGs. The findings could be useful for policymakers. [Display omitted] • Based on the entropy weight method and the Chinese county data, the sustainable development levels of 1533 counties in China from 2000 to 2017 are estimated. • Analyses of spatial-temporal dynamic heterogeneity, Linear decomposition, and Dagum decomposition are conducted to study the features of sustainable development in Chinese counties. •The influence of natural features and national concern preferences on county sustainable development are discussed. [ABSTRACT FROM AUTHOR]

Linkages between air pollution and individual subjective well-being (SWB) are theorized as a key component of the United Nations Sustainable Development Goals. Using the China Family Panel Studies (CFPS) covering 12,668 residents who were interviewed for five consecutive times during 2010–2018, we find significant negative effects of air pollution on individual SWB via the change of the respondent's physical health level, physical exercise behavior and obesity risk. Specifically, a one standard deviation increase in county's annual average PM 2.5 concentrations, instrumented by thermal inversion, is associated with a 2.45 standard deviations decrease in individual SWB level. In particular, people who are male, young people, less educated group, urban resident and live in eastern or western China are more sensitive to air pollution. This paper provides new insights into the health costs of air pollution. [ABSTRACT FROM AUTHOR]