Research Field

Qingli Dong
Associate Professor, Institute of Finance and Accounting, Dalian University of Technology

Education

• Bachelor’s Degree in Mathematics and Applied Mathematics, School of Science, China University of Mining and Technology, 2014

• Ph.D. in Statistics, School of Statistics, Dongbei University of Finance and Economics, 2019

• Joint Ph.D. Student, Queen’s University, Canada

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Research Interests
Dr. Qingli Dong’s research focuses on financial risk management, particularly in model optimization and cross-market application analysis. His current interests include cross-market risk management, addressing topics such as carbon market risk networks and survival risks of enterprises in capital markets.

Research Projects

1. National Social Science Fund General Project, Office of the National Philosophy and Social Science Planning, Integration, Benefits Enhancement, and Risk Prevention of Cross-Market Carbon Financial Products, 2024–2027 (Principal Investigator, Ongoing).

2. National Social Science Fund Youth Project, Office of the National Philosophy and Social Science Planning, Statistical Measurement of Price Dependence Risk in China's Carbon Market from the Perspective of Association Networks, 2021–2024 (Principal Investigator, Concluded).

3. Liaoning Provincial Philosophy and Social Science Planning Fund Key Project, Liaoning Social Science Planning Fund Office, Cross-Market Construction of Carbon Financial Products and Measurement of Green Benefits, 2024–2026 (Principal Investigator, Ongoing).

4. Liaoning Provincial Philosophy and Social Science Planning Fund Youth Project, Liaoning Social Science Planning Fund Office, Survival Analysis and Early Warning of Credit Risk for Small and Medium-Sized Enterprises, 2020–2022 (Principal Investigator, Concluded).

5. Dalian Academy of Social Sciences Base Project, Mechanisms and Pathways for Green and Low-Carbon Industrial Development under Environmental Constraints during the 14th Five-Year Plan Period, 2021–2022 (Principal Investigator, Concluded).

6. Basic Research Fund Project, Dalian University of Technology, Application of Time-Varying Survival Theory in Credit Risk Assessment, 2019–2021 (Principal Investigator, Concluded).

7. Basic Research Fund Project, Dalian University of Technology, Reevaluation of Credit Risk for Small and Micro Enterprises under Different Constraint Scenarios with Integration of Time Dimension, 2023–2024 (Principal Investigator, Ongoing).

Selected Publications

1. Dong Q, Lian L, Jiang Q. Risk spillover measurement of carbon trading market considering susceptible factors: A network perspective. International Journal of Finance & Economics, 2024. TOP10.

2. Jiang P, Liu Z, Abedin MZ, Wang J, Yang W, Dong Q. Profit-driven weighted classifier with interpretable ability for customer churn prediction. Omega, 2024, 125, 103034. TOP10.

3. Dong Q, Zhao Y, Ma X, et al. Risk spillover between carbon markets and stock markets from a progressive perspective: Measurements, spillover networks, and driving factors. Energy Economics, 2023: 107228. TOP10.

4. Dong Q, Huo D, Wang K. Risk measurement and application of the international carbon market in the era of global conflict: A data-driven study using FCM. Journal of Environmental Management, 2023, 342: 118251. TOP10.

5. Dong Q, Chi G. Small and medium-sized enterprises' time to default: An analysis using an improved mixture cure model with time-varying covariates. Journal of Credit Risk, 2022, 19(2).

6. Dong Q, Peng Y, Li P. Time to delisted status for listed firms in Chinese stock markets: An analysis using a mixture cure model with time-varying covariates. Journal of the Operational Research Society, 2021. SCI&SSCI, TOP10, IF: 2.86.

7. Dong Q, Ma X. Enhanced fuzzy time series forecasting model based on hesitant differential fuzzy sets and error learning. Expert Systems with Applications, 2021, 166: 114056. SCI&SSCI, TOP10, IF: 6.954.

8. Zhu L, Luo J, Dong Q, et al. Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path. Technological Forecasting and Social Change, 2021, 170: 120890. SCI&SSCI, TOP10, IF: 8.593.

9. Zhao Y, Goodell JW, Dong Q, Wang Y, Abedin MZ. Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policymakers. International Review of Financial Analysis, 2022, 84: 102411. TOP10.

10. Li P, Peng Y, Jiang P, Dong Q. A support vector machine-based semiparametric mixture cure model. Computational Statistics, 2020, 35(3): 931–945. SCI&SSCI, IF: 1.0.

11. Li P, Dong Q. Box office prediction model based on web search data and machine learning. Operations Research and Management Science, 2020, 30(11): 168–175. CSSCI, IF: 1.923.

Academic Services

• Member, Liaoning Accounting and Abacus Society

• Peer reviewer for multiple international journals, including:

• Journal of the Operational Research Society

• Expert Systems with Applications

• Computational Statistics

• Applied Soft Computing

• Knowledge-Based Systems

• Operations Research and Management Science