Optimal Career Strategies and Brain Drain in Academia

被引:6
作者
Seidl, Andrea [1 ]
Wrzaczek, Stefan [1 ,2 ]
El Ouardighi, Fouad [3 ]
Feichtinger, Gustav [1 ,4 ]
机构
[1] Vienna Univ Technol, Inst Stat & Math Methods Econ, Dept Operat Res & Control Syst, A-1040 Vienna, Austria
[2] Univ Vienna, Dept Business Adm, Vienna, Austria
[3] ESSEC Business Sch, Cergy Pontoise, France
[4] Austrian Acad Sci, Vienna Inst Demog, Wittgenstein Ctr Demog & Global Human Capital, IIASA,VID OAW WU, A-1010 Vienna, Austria
基金
奥地利科学基金会;
关键词
Optimal control; Academic career; History dependence; Human capital; CONCAVE PRODUCTION FUNCTION; OPTIMAL-GROWTH; LIFE-CYCLE; SCIENTISTS; MODEL; PRODUCTIVITY; TRAJECTORIES; INDUSTRY; PATHS; TIME;
D O I
10.1007/s10957-015-0747-3
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Some areas of science face the problem that many academics prefer the private sector over academia. This negatively affects the quality and the quantity of the research output as well as the availability of competent lecturers in these areas. The present paper investigates by means of an optimal control model how the reward of competencies in research and teaching in the private sector affects investments into these skills as well as the decision on whether and when to optimally leave academia. As the decision between academia and industry is obvious if a scientist has strong preference for either, we focus on scenarios where this is not the case. We notably show that the dynamic trade-off between academia and industry results in various forms of brain drain. In this regard, we first confirm that if academic competencies are well rewarded in the private sector, the most competent academics will leave academia. Further, we find scenarios where a scholar with intermediate competencies will try to improve his or her skills as much as possible before leaving academia and scenarios in which it is optimal to not put much effort into work and let competencies slowly depreciate before leaving. Even if scientists are highly skilled and motivated to stay, if poor working conditions do not support knowledge acquisition, competencies will inevitably fall and academia will consist solely of mediocre scholars. The results suggest that brain drain can be destructive for academia in the long run.
引用
收藏
页码:268 / 295
页数:28
相关论文
共 50 条
  • [31] Education, redistribution and the threat of brain drain
    Alexander Haupt
    Eckhard Janeba
    International Tax and Public Finance, 2009, 16 : 1 - 24
  • [32] Brain drain: what is the role of institutions?
    Chen, Fanyu
    Wong, Zi Wen Vivien
    Law, Siong Hook
    JOURNAL OF INDUSTRIAL AND BUSINESS ECONOMICS, 2023, 51 (3): : 605 - 628
  • [33] Air pollution and brain drain: Evidence from college graduates in China
    Lai, Wangyang
    Song, Hong
    Wang, Chang
    Wang, Huanhuan
    CHINA ECONOMIC REVIEW, 2021, 68
  • [34] Optimal Control Strategies for Dengue Dynamics
    Siddik, Sarinah Banu Mohamed
    Abdullah, Farah Aini
    PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): MATHEMATICAL SCIENCES AS THE CORE OF INTELLECTUAL EXCELLENCE, 2018, 1974
  • [35] Optimal allocation strategies of perennial plants
    Mironchenko, Andrii
    Kozlowski, Jan
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 3361 - 3366
  • [36] Brain Drain as Brain Gain in Southeast Europe: Challenges Ahead
    Stankovic, Mirjana
    Angelova, Biljana
    Janeska, Verica
    Stankovic, Bratislav
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INNOVATION AND ENTREPRENEURSHIP, 2013, : 109 - 118
  • [37] Research career development: The importance of establishing a solid track record in nursing academia
    Happell, Brenda
    Cleary, Michelle
    COLLEGIAN, 2014, 21 (03) : 233 - 238
  • [38] BRAIN DRAIN - BRAIN GAIN: SLOVAK STUDENTS AT CZECH UNIVERSITIES
    Fischer, Jakub
    Lipovska, Hana
    JOURNAL ON EFFICIENCY AND RESPONSIBILITY IN EDUCATION AND SCIENCE, 2015, 8 (03) : 54 - 59
  • [39] Quantifying gender imbalance in East Asian academia: Research career and citation practice
    Nakajima, Kazuki
    Liu, Ruodan
    Shudo, Kazuyuki
    Masuda, Naoki
    JOURNAL OF INFORMETRICS, 2023, 17 (04)
  • [40] To be or not to be (in academia)? 'Inward calling' and 'academic hazards' in aspiring academics' career prospects in Australia
    Le, Ai Tam
    HIGHER EDUCATION RESEARCH & DEVELOPMENT, 2023, 42 (04) : 874 - 887