Given the increasing interest in keeping global warming below 1.5°C, a key question is what this would mean for China’s emission pathway, energy restructuring, and decarbonization. By conducting a multimodel study, we find that the 1.5°C-consistent goal would require China to reduce its carbon emissions and energy consumption by more than 90 and 39%, respectively, compared with the “no policy” case. Negative emission technologies play an important role in achieving near-zero emissions, with captured carbon accounting on average for 20% of the total reductions in 2050. Our multimodel comparisons reveal large differences in necessary emission reductions across sectors, whereas what is consistent is that the power sector is required to achieve full decarbonization by 2050. The cross-model averages indicate that China’s accumulated policy costs may amount to 2.8 to 5.7% of its gross domestic product by 2050, given the 1.5°C warming limit.

Regional trade agreements (RTAs) have been widely adopted to facilitate international trade and cross-border investment and promote economic development. However, ex ante measurements of the environmental effects of RTAs to date have not been well conducted. Here, we estimate the CO2 emissions burdens of the Regional Comprehensive Economic Partnership (RCEP) after evaluating its economic effects. We find that trade among RCEP member countries will increase significantly and economic output will expand with the reduction of regional tariffs. However, the results show that complete tariff elimination among RCEP members would increase the yearly global CO2 emissions from fuel combustion by about 3.1%, doubling the annual average growth rate of global CO2 emissions in the last decade. The emissions in some developing members will surge. In the longer run, the burdens can be lessened to some extent by the technological spillover effects of deeper trade liberalization. We stress that technological advancement and more effective climate policies are urgently required to avoid undermining international efforts to reduce global emissions.

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The COVID-19 outbreak has been one of the world's most severe challenges since World War II, which not only reflected in the observable economic depression, but also in emotional damage that is scarcely underscored. This paper estimates the effect of the epidemic on happiness of Chinese residents by capturing the emotions conveyed via massive social media, combined with city-level epidemic data. We confirm the significant negative impact of the outbreak on life satisfaction, with an extra 1% of cumulative death cases associated with a 0.54% decrease in expressed happiness. Meanwhile, we find that well-being drops the most in regions with high-level risk of COVID-19, and happiness in regions with higher or lower income levels are more vulnerable to the effects of the epidemic, in comparison to the intermediate-level income regions. Females' sentiment exhibits more sensitivity to the epidemic situation than does males' sentiment. Furthermore, the timing of major public events also plays a sizable role in determining selfreported happiness, and our results suggest that pandemic alerts announced by the World Health Organization (WHO) significantly increased the loss of well-being, while announcements of cityunlocking had the opposite impact. The interaction between the outbreak and real-time expressed happiness provides an important opportunity for reflection on the future governance policies of epidemic containment.