En-Ze Wang

TL;DR: This paper explored the interaction among the COVID-19 pandemic, crude oil market and stock market in the US by utilizing a time-varying parameter vector autoregression (TVP-VAR) model.

TL;DR: In this article, a comprehensive assessment of the interrelationships among environmental regulation, clean energy consumption, and economic growth is presented, where the authors estimate a production function accounting for heterogeneity by using the finite mixture model.

TL;DR: In this paper , an extended energy demand model with a finite mixture model was proposed to account for the heterogeneous nexus between information communication technology (ICT) and energy demand, which showed that ICT can not only exert a positive effect on energy demand but also a negative impact on energy consumption.

TL;DR: Wang et al. as discussed by the authors investigated the impact of the green credit policy on the carbon dioxide emission intensity of firms in heavily polluting industries and potential impact channels, and found that the policy can reduce the total energy intensity, especially the coal consumption intensity, thus lowering the carbon emission intensity.

TL;DR: In this article , a comprehensive investigation of the nexus among green complexity, CO 2 emission and institutional quality has been conducted by applying the finite mixture model to a novel dataset covering 78 countries from 1995 to 2014.