Yifei Hua

TL;DR: Wang et al. as discussed by the authors provided a more systematic analysis than previously available of how China can reach its peak carbon emissions as early as possible, and proposed some specific and practical recommendations to achieve a "win-win" solution with respect to the integration of emission mitigation and economic development.

TL;DR: In this article, an overview of the past operational development of China's eight carbon market pilots, the current problems in the national carbon market, the elements that need to be improved during the establishment process, and the feasibility of future connection between China's carbon market and the international carbon market was summarized and analyzed.

TL;DR: In this paper, the impacts of different factors on haze pollution in different regions, and understand the causes of regional inequality of haze pollution were compared using quantile regression and regression-based Shapley value decomposition.

TL;DR: In this article, a Bayesian regularized neural network model was used to predict the intention to recycle packaging waste in a questionnaires focusing on the intention of recycling packaging waste, which achieved a high degree of fit between the predicted and measured values of the test set, thus proving the rationality of the selected variables and the neural network.

TL;DR: According to the Shapley decomposition, rather than social-economic variables, climate and heating factors contribute the most to the interprovincial differences in URECP and RRECP, and it is found that income level is the most important factor accounting for inter-provincial discrepancies.