Dr. Muhammad Asghar Khan | Finance | Best Researcher Award
PHD at Southwestern University of Finance and Economics, China
Professional Profiles
EDUCATION
Ph.D. in Finance Institution: Southwestern University of Finance and Economics, Chengdu Year: 2014 – 2018 Master in Economics and Finance Institution: International Islamic University Islamabad, Islamabad Year: 2012 – 2014 Bachelor in Economics and Finance Institution: International Islamic University, Islamabad Year: 2023
Professional Experience
Associate Professor Institution: Panzhihua University, Panzhihua Duration: 2019 – Present
Skills
Management Skills: Client Relations: Effective communicator, client and service-oriented, tactful, and diplomatic in client interaction. Management and Leadership: Works independently, effective in problem-solving, oriented in workload management. Ability to manage assignments efficiently and on time with minimal supervision. Technical Skills: Proficient in Microsoft Office applications and other various applications. Adept with Windows operating system, MS Word, MS Excel, MS PowerPoint, Internet, E-mail, etc.
Research Focus
Muhammad Asghar Khan’s research primarily focuses on finance, particularly in the areas of economic and financial analysis. His recent work includes studies on social media’s role in fake news proliferation using deep learning and psycholinguistics, the effect of economic policy uncertainty on foreign direct investment in Asia, and factors influencing the adoption of mobile technologies by older adults in China. Additionally, he investigates the banking sector’s impact on renewable energy consumption, green growth, and environmental quality. His interdisciplinary approach combines finance, technology, and sustainability to address contemporary economic and social challenges.
Publications
- Revealing the Impacts of Banking Sector Development on Renewable Energy Consumption, Green Growth, and Environmental Quality in China: Does Financial Inclusion Matter?, Publication date: 2022.
- Sustainable Digital Marketing: Factors of Adoption of M-Technologies by Older Adults in the Chinese Market, Publication date: 2023.
- The Effect of Economic Policy Uncertainty on Foreign Direct Investment in the Era of Global Value Chain: Evidence from the Asian Countries, Publication date: 2023.
- Social media’s dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation, Publication date: 2024.