Lianbiao Cui

Prof. Lianbiao Cui

School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 December 2018 in Applied Energy
Verified
Journal Article
Closed access
JCJiandong Chen
Jiandong Chen
PWPing Wang
Ping Wang
LCLianbiao Cui
Lianbiao Cui
SHShuo Huang
Shuo Huang
MSMalin Song
Malin Song

1 August 2021 in Journal of Environmental Management
Verified
Journal Article
Closed access
JGJiajia Guo
Jiajia Guo
YZYong Zhou
Yong Zhou
SAShahid Ali
Shahid Ali
USUmer Shahzad
Umer Shahzad
LCLianbiao Cui
Lianbiao Cui

10 February 2023 in Resources Policy
Verified
Journal Article
Closed access
LCLianbiao Cui
Lianbiao Cui
SYSuyun Yue
Suyun Yue
Xuan-Hoa NghiemXuan-Hoa Nghiem
Xuan-Hoa Nghiem
MDMei Duan
Mei Duan

2 March 2016 in Annals of Operations Research
Verified
Journal Article
Closed access
PDF file
MSMa-Lin Song
Ma-Lin Song
RFRon Fisher
Ron Fisher
JWJian-Lin Wang
Jian-Lin Wang
LCLianbiao Cui
Lianbiao Cui

5 October 2020 in Journal of Environmental Planning and Management
Verified
Journal Article
Closed access
TFTehreem Fatima
Tehreem Fatima
USUmer Shahzad
Umer Shahzad
LCLianbiao Cui
Lianbiao Cui
This study analyzes the effects of increased income and renewable energy on environmental quality, which has been ignored in the existing literature. An important contribution of this study is to analyze the role of renewable and nonrenewable energy in relation to the rising level of carbon emissions in the leading emitting countries. This research further examines the heterogeneous impacts of rising income levels and EKC investigation for CO2 emissions. The Kao cointegration, generalized method of moments (GMM), random effects, fixed effect (FE) regression models, and panel causality techniques are employed for panel data estimations. The empirical outcomes mention that an increase in income moderates the ratio of consumption of renewable energy to CO2 emissions. Increased income contributes more to the energy mix, which contributes to environmental pollution, through nonrenewable energy. This research reports policy-relevant critical masses beyond which an increase in income negatively affects the link between renewable energy and CO2 emissions.

1 October 2020 in Journal of Cleaner Production
Verified
Journal Article
Closed access
XZXiaoxiao Zhou
Xiaoxiao Zhou
MSMalin Song
Malin Song
LCLianbiao Cui
Lianbiao Cui