Dr M. Awais Gulzar
Lecturer in Finance (ZUCC, China)
Qualifications: PhD Finance (HUST), MBA-Finance (IUB)
Contact DetailsEmail: [email protected]
Room: New Zealand University of Waikato Institute (NZUWI) at Zhejiang University City College, China
About M. Awais
Dr. Gulzar joined Waikato Management School in August 2019 as a lecturer in finance. Prior to this, he served as a teaching fellow of finance at Waikato Management School's overseas programme in China, and as an assistant professor at Zhejiang University City College (ZUCC), China.
He is also an adjunct professor at Zhejiang University, ESSCA School of Management Shanghai and Shanghai Normal University. Since receiving his PhD from Huazhong University of Science and Technology, Dr Gulzar has been working in China.
Dr. Gulzar's teaching and research focuses on corporate finance, behavioural finance, corporate governance, corporate social responsibility, family businesses, earnings management and low carbon economics. He has published several articles in leading international journals.
Corporate finance; Behavioural finance; Corporate governance; Corporate social responsibility; Low carbon economics, Family businesses, Earnings management.
Gulzar, M. A., Ahmad, M., Hassan, M., & Rasheed, M. I. (2021). How social media use is related to student engagement and creativity: investigating through the lens of intrinsic motivation. Behaviour and Information Technology, online, 12 pages. doi:10.1080/0144929X.2021.1917660
Gulzar, M. A., Asghar, H., Hwang, J., & Hassan, W. (2020). China’s pathway towards solar energy utilization: Transition to a low-carbon economy. International Journal of Environmental Research and Public Health, 17(12), 1-11. doi:10.3390/ijerph17124221
Zeng, Y., Gulzar, M. A., Wang, Z., & Zhao, X. (2020). The effect of expected financial performance on corporate environmental responsibility disclosure: evidence from China. Environmental Science and Pollution Research, 27, 37946-37962. doi:10.1007/s11356-020-09719-8
Gulzar, M. A., Abid, M., Nazir, H. Z., Zahid, F. M., & Riaz, M. (2020). On enhanced estimation of population variance using unconventional measures of an auxiliary variable. Journal of Statistical Computation and Simulation, 90(12), 2180-2197. doi:10.1080/00949655.2020.1767620
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