A Study on Factors Affecting the Training Efficiency of Specialized Doctoral Programs: An Empirical Study Based on a Local University
DOI: https://doi.org/10.62517/jhet.202615309
Author(s)
Xihuang Lai*
Affiliation(s)
Graduate School, North China University of Technology, Beijing, China
*Corresponding Author
Abstract
The doctoral talent training program addressing national special needs is a significant development in the reform of China’s degree authorization system. The university in question (hereafter referred to as 'University X') was one of the first pilot institutions to offer a PhD program in Control Science and Engineering, which it has provided for over a decade. It was officially approved as a degree-awarding institution in 2024. Using full-sample data on 75 doctoral students enrolled between 2013 and 2022, this study employs a three-dimensional analytical framework of 'institution–environment–individual' to empirically examine the program's training efficiency. Findings reveal an overall graduation rate of 42.7% (32/75), with graduates completing their studies in an average of 60.9 months—exceeding the standard academic duration by 2 years. Three dimensions can explain differences in training efficiency. At the institutional level, graduation requirements must be aligned more closely with the standard academic duration; raising these requirements significantly reduces the graduation rate (p=0.002), but does not significantly shorten graduates' study duration (p=0.088). At the environmental level, there is significant variation in supervisor effectiveness (p = 0.025): students supervised by off-campus supervisors in administrative roles have a graduation rate of only 9.1%. At the individual level, the impact of prior disciplinary background is U-shaped. At the same time, its effect on study duration is insignificant; students from different disciplinary categories perform better than those from the same category. There is no significant difference in the graduation rate between designated and non-designated students, but the former have a significantly longer study duration (p = 0.001). This study summarises the training experiences of special-demand programs and provides empirical evidence to optimize formal doctoral training.
Keywords
Doctoral Special Demand Program; Training Efficiency; Screening Theory; Academic Community; Student Development
References
[1]Ministry of Education. 2024 Education Statistics — Number of Doctoral Graduates (Completed), Degrees Awarded, and Projected Graduates. (20 March 2026). http://www.moe.gov.cn/jyb_sjzl/moe_560/2024/quanguo/202603/t20260318_1431284.html.
[2]Ministry of Education. 2023 Education Statistics — Number of Doctoral Graduates (Completed), Degrees Awarded, and Projected Graduates. (20 January 2025). http://www.moe.gov.cn/jyb_sjzl/moe_560/2023/gedi/202501/t20250120_1176263.html.
[3]J. Skopek, M.; Triventi, H.-P.; Blossfeld. How do institutional factors shape PhD completion rates? An analysis of long-term changes in a European doctoral program. Studies in Higher Education, 2022, Vol. 47(2): 318-337.
[4]Xu Lan, Wei Qingyi. The Evolution, Characteristics and Trends in the Evaluation of Doctoral Education Quality: A Perspective Based on Governance Theory. Degrees and Postgraduate Education, 2023, (9): 85–93.
[5]Chris M Golde. Leaving the Ivory Tower: The Causes and Consequences of Departure from Doctoral Study. Work and Occupations, 2002, Vol. 29(2): 264-266.
[6]Li Haisheng. Analysis of Factors Affecting the Delay in Completion of Doctoral Studies in China: Based on a Questionnaire Survey of 42 Graduate Schools. Degrees and Postgraduate Education, 2012, (5): 9–15.
[7]Julian Friedrich, Anna Bareis, Moritz Bross, et al. "How is your thesis going?"-Ph.D. students' perspectives on mental health and stress in academia. PloS one, 2023, Vol. 18(7): e0288103.
[8]Levecque K, Anseel F, De Beuckelaer A, et al. Work organization and mental health problems in PhD students. Research Policy, 2017, 46(4): 868-879.
[9]Taylor Winter, Benjamin C Riordan, John A Hunter, et al. A Longitudinal Study of Mental Wellbeing in Students in Aotearoa New Zealand Who Transitioned Into PhD Study. Frontiers in psychology, 2021, Vol. 12: 659163.
[10]Bao Wei, Wu Jiaqi, He Feng. How to Optimally Determine the Scale of Doctoral Student Intakes: An Analysis of the Correlation between Supervisor Supervision Load and the Quality of Doctoral Education. Chinese Higher Education Research, 2021, (4): 75–81.
[11]Wang Haiying, Li Haisheng, Chen Le. A Study on the Impact of Supervisory Guidance on the Quality of Doctoral Student Training. Journal of Yangzhou University (Higher Education Research Edition), 2023, 27(3): 72–81.
[12]Golde, Chris M. The Role of the Department and Discipline in Doctoral Student Attrition: Lessons from Four Departments. The Journal of Higher Education, 2005, Vol. 76(6): 669-700.
[13]Yang Qing, Tang Yuguang. A Study on the Stages of Professional Socialization, Obstacles and Deconstruction Strategies for Doctoral Students with Extended Study Periods. Research on Postgraduate Education, 2024, (5): 100-111.
[14]Xie Xin, Xu Dandong. The Impact of Interdisciplinary Thesis Research on Delayed Graduation among Doctoral Students: An Analysis Based on a National Survey of Doctoral Graduates. Chinese Higher Education Research, 2024, (6): 69–76.
[15]Sheng Lihui. The Phenomenon of Delayed Graduation among Doctoral Students: Influencing Factors and Governance Strategies. Degrees and Postgraduate Education, 2019, (6): 60–64.
[16]Xie Xin, Shen Wenqin. Types of Delayed Graduation among PhD Students and the Quality of Their Theses: An Analysis Based on Data from the ‘National Survey of PhD Graduates’. Research on Higher Education, 2023, 44(9): 48–60.