Shanglei Chai

Dr. Shanglei Chai

Business School, Shandong Normal University, Jinan, Shandong, China
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 May 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Shanglei ChaiShanglei Chai
Shanglei Chai
KZKe Zhang
Ke Zhang
WWWei Wei
Wei Wei
WMWenyuan Ma
Wenyuan Ma
MAMohammad Zoynul Abedin
Mohammad Zoynul Abedin

28 September 2023 in Finance Research Letters
Verified
Journal Article
Closed access
Shanglei ChaiShanglei Chai
Shanglei Chai
MCMengjun Cao
Mengjun Cao
QLQiang Li
Qiang Li
Qiang JiQiang Ji
Qiang Ji
ZLZuankuo Liu
Zuankuo Liu

6 January 2022 in Annals of Operations Research
Verified
Journal Article
Open access
PDF file
Shanglei ChaiShanglei Chai
Shanglei Chai
WCWenjun Chu
Wenjun Chu
ZZZhen Zhang
Zhen Zhang
ZLZhilong Li
Zhilong Li
MAMohammad Zoynul Abedin
Mohammad Zoynul Abedin
This paper uses weekly data from July 01, 2011 to July 09, 2021 to examine the dynamic nonlinear connectedness between the green bonds, clean energy, and stock price around the COVID-19 outbreak in the global markets. By building a time-varying parameter vector autoregression model (TVP-VAR), the comparison analyses of pre- and during the COVID-19 sample groups verify the existence of nonlinear and dynamic correlation among the three variables. First, prior to the COVID-19 pandemic, the simultaneous impacts of clean energy on stock price increased over time. Second, the results of impulse responses at different horizons indicate that green bonds lead to a short-term increase of clean energy, and it exerts an increasingly positive impacts after the COVID-19 outbreak. The COVID-19 has weakened the negative impacts of green bonds on stock price in the medium term. Finally, through the analysis of impulse responses at different points, we find that stock prices will rise when clean energy is subjected to a positive shock, and this positive effect is stronger during economic recovery period than in the other two periods.

28 July 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
MDMo Du
Mo Du
RZRuirui Zhang
Ruirui Zhang
Shanglei ChaiShanglei Chai
Shanglei Chai
QLQiang Li
Qiang Li
RSRuixuan Sun
Ruixuan Sun
WCWenjun Chu
Wenjun Chu
The impact of China’s green finance policies on renewable energy, clean energy, and other green companies is a hot topic of concern. This study uses the difference-in-differences (DID) model to examine the incentive effect of the Green Credit Guidelines (GCG) on the technological innovation and financial performance of Chinese listed green enterprises. The heterogeneity analysis is carried out from the level of digital finance, green development, and marketization. This study finds that: (1) Green finance is conducive to stimulating the technological innovation and financial performance of green enterprises. (2) Green enterprises in areas with high digital finance levels have a more significant incentive effect on green finance policies, compared to areas with less-developed digital finance. (3) Green enterprises in areas with high levels of green development are more significantly positively affected by green finance policies, compared to areas with less-developed digital finance. (4) The incentive effect of green credit policies on green enterprises in areas with a high degree of marketization is more significant, compared with regions with a lower level of green development. Finally, some policy implications are proposed to provide a reference for China to improve the green financial system to facilitate the financing of green enterprises.

29 September 2024 in Applied Energy
Verified
Journal Article
Closed access
Shanglei ChaiShanglei Chai
Shanglei Chai
WHWenjing Huo
Wenjing Huo
QLQiang Li
Qiang Li
QJQiang Ji
Qiang Ji
XSXunpeng Shi
Xunpeng Shi

1 October 2018 in Energy Economics
Verified
Journal Article
Closed access
Shanglei ChaiShanglei Chai
Shanglei Chai
PZP. Zhou
P. Zhou