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Author

En-Ze Wang

Other affiliations: Qingdao University
Bio: En-Ze Wang is an academic researcher from Wuhan University. The author has contributed to research in topics: Economics & Vector autoregression. The author has an hindex of 2, co-authored 2 publications receiving 140 citations. Previous affiliations of En-Ze Wang include Qingdao University.

Papers
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Journal ArticleDOI
30 May 2020
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.
Abstract: This research explores 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 Our results indicate that there is a negative connection between crude oil returns and stock returns Interestingly, contrary to our intuition, we find that the COVID-19 pandemic cannot exert a negative effect but has a statistically significantly positive effect on crude oil returns and stock returns

224 citations

Journal ArticleDOI
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.

121 citations

Journal ArticleDOI
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.

35 citations

Journal ArticleDOI
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.

20 citations

Journal ArticleDOI
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.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: The number of people infected by, and deaths from, the coronavirus pandemic (COVID-19) has amplified so has country responses to it, as reflected in the number of infected persons and deaths as discussed by the authors.
Abstract: As the coronavirus pandemic (COVID-19) has amplified so has country responses to it. With COVID-19 taking its toll on humans, as reflected in the number of people infected by, and deaths from, COVI...

459 citations

Journal ArticleDOI
TL;DR: In this article, the authors study the impact of COVID-19 on corporate performance and show that the negative impact has a negative impact on firm performance, while the positive impact is limited.
Abstract: Using the financial data of listed Chinese companies, we study the impact of COVID-19 on corporate performance. We show that COVID-19 has a negative impact on firm performance. The negative impact ...

407 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used an event study approach to empirically study the market performance and response trends of Chinese industries to the COVID-19 pandemic and found that transportation,...
Abstract: In this article, we use an event study approach to empirically study the market performance and response trends of Chinese industries to the COVID-19 pandemic. The study found that transportation, ...

382 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors employed panel data of 30 China's provinces for the period 2006-2018 to explore the influence of green finance on green total factor productivity, revealing estimation results that green finance development significantly improves the level of green productivity.

330 citations

Journal ArticleDOI
TL;DR: In this article, the authors measure the trade interconnectedness among countries before and after the COVID-19 outbreak, and forecast the future direction of trade using trade network analysis and artificial neural networks.
Abstract: This article measures the trade interconnectedness among countries before and after the COVID-19 outbreak, and forecasts the future direction of trade. Using Trade Network Analysis and Artificial N...

302 citations