Mature Australian VET markets: a data-driven case study of public policy implementation

被引:1
|
作者
Zoellner, Don [1 ]
机构
[1] Charles Darwin Univ, Northern Inst, Grevillea Dr, Alice Springs, NT, Australia
关键词
VET markets; Policy implementation; Data; Policy analysis;
D O I
10.1186/s40461-022-00133-7
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Australian vocational education and training (VET) policy makers have persistently proposed more user choice when reforming the national training system. Increasing alternatives by encouraging multiple providers to trade in regulated contestable markets remains the cornerstone of governments' policies. However, despite policy intentions, students'options are declining. Longitudinal quantitative jurisdiction-level statistics identify well-established trends of a reduced variety of providers, a smaller range of qualifications on offer and decreased public funding. These outcomes are occurring notwithstanding the continuous supportive policy environment for intensified competition and amplified choice. Rather than portray reduced choice as policy failure, this research makes novel use of large nationally consistent regulatory and enrolment data sets to provide evidence of successful public policy implementation that is approaching the end of the market life cycle. The results invite an exploration of issues that arise when VET markets are considered to be mature rather than unrealised aspirations. Choices provided in these fully-fledged markets that balance public and private provision are still necessary, but no longer sufficient, to meet national skills needs. It is argued that policy success is not permanent and should be revisited in light of contemporary economic alternatives to guide future VET policy making.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Informing Wireless Spectrum Policy-Making via Crowdsourced Data-Driven Insights: A Case Study
    Ghasemi, Amir
    Parekh, Janaki
    2024 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS, DYSPAN 2024, 2024, : 447 - 454
  • [42] A data-driven implementation of telecommunication network systems
    Nishikawa, H
    Miyata, S
    Yoshida, S
    Muramatsu, T
    Ishii, H
    Kobayashi, H
    Inoue, Y
    THIRD INTERNATIONAL SYMPOSIUM ON AUTONOMOUS DECENTRALIZED SYSTEMS - ISADS 97 - PROCEEDINGS, 1997, : 51 - 58
  • [43] "For the public benefit": Data policy in platform markets
    Markovich, Sarit
    Yehezkel, Yaron
    JOURNAL OF ECONOMICS & MANAGEMENT STRATEGY, 2024, 33 (03) : 652 - 685
  • [44] Building synergies between WTO and UNESCO: the case for data-driven policy coordination
    Zapatero Miguel, P.
    Petz, M.
    INTERNATIONAL JOURNAL OF CULTURAL POLICY, 2018, 24 (03) : 406 - 429
  • [45] LAND MARKETS AND PUBLIC-POLICY - A KOREAN CASE-STUDY
    LIM, GC
    HABITAT INTERNATIONAL, 1987, 11 (01) : 73 - 81
  • [46] Exclusionary conduct in data-driven markets: limitations of data sharing remedy
    Kathuria, Vikas
    Globocnik, Jure
    JOURNAL OF ANTITRUST ENFORCEMENT, 2020, 8 (03) : 511 - 534
  • [47] DATA-DRIVEN SIMULATION OF CONTAGIONS IN PUBLIC VENUES
    Guarino, Stefano
    Torre, Davide
    Bernaschi, Massimo
    Celestini, Alessandro
    Cianfriglia, Marco
    Mastrostefano, Enrico
    Zastrow, Lena Rebecca
    PROCEEDINGS OF THE 2021 ANNUAL MODELING AND SIMULATION CONFERENCE (ANNSIM'21), 2020,
  • [48] Data-Driven Recommendations in a Public Service Organisation
    Piscopo, Alessandro
    Panteli, Maria
    Penna, Douglas
    ABIS'19: PROCEEDINGS OF THE 23RD INTERNATIONAL WORKSHOP ON PERSONALIZATION AND RECOMMENDATION ON THE WEB AND BEYOND, 2019, : 23 - 24
  • [49] Data-Driven Optimization of Public Transit Schedule
    Basak, Sanchita
    Sun, Fangzhou
    Sengupta, Saptarshi
    Dubey, Abhishek
    BIG DATA ANALYTICS (BDA 2019), 2019, 11932 : 265 - 284
  • [50] Data-driven Management of Dynamic Public Transport
    Horazdovsky, Patrik
    Novotny, Vojtech
    Svitek, Miroslav
    2018 SMART CITY SYMPOSIUM PRAGUE (SCSP), 2018,