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The fourth industrial revolution and labour market regulation in Singapore

Author

Listed:
  • Peter Waring

    (Murdoch University, Singapore)

  • Azad Bali

    (Australian National University, Australia)

  • Chris Vas

    (University of Canterbury, New Zealand)

Abstract

The race to develop and implement autonomous systems and artificial intelligence has challenged the responsiveness of governments in many areas and none more so than in the domain of labour market policy. This article draws upon a large survey of Singaporean employees and managers (N = 332) conducted in 2019 to examine the extent and ways in which artificial intelligence and autonomous technologies have begun impacting workplaces in Singapore. Our conclusions reiterate the need for government intervention to facilitate broad-based participation in the productivity benefits of fourth industrial revolution technologies while also offering re-designed social safety nets and employment protections. JEL Codes: J88, K31, O38, M53

Suggested Citation

  • Peter Waring & Azad Bali & Chris Vas, 2020. "The fourth industrial revolution and labour market regulation in Singapore," The Economic and Labour Relations Review, , vol. 31(3), pages 347-363, September.
    • Handle: RePEc:sae:ecolab:v:31:y:2020:i:3:p:347-363
    DOI: 10.1177/1035304620941272
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    References listed on IDEAS

    as
    1. Jim Stanford, 2017. "The resurgence of gig work: Historical and theoretical perspectives," The Economic and Labour Relations Review, , vol. 28(3), pages 382-401, September.
    2. Eng Fong Pang & Linda Y. C. Lim, 2015. "Labor, Productivity And Singapore'S Development Model," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(03), pages 1-30.
    3. repec:ilo:ilowps:485017 is not listed on IDEAS
    4. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    5. Mark Bray & Peter Waring, 2019. "Advances in Labour Regulation Theory," Chapters, in: Keith Townsend & Kenneth Cafferkey & Aoife M. McDermott & Tony Dundon (ed.), Elgar Introduction to Theories of Human Resources and Employment Relations, chapter 11, pages 155-168, Edward Elgar Publishing.
    6. Ernst Ekkehardt & Merola Rossana & Samaan Daniel, 2019. "Economics of Artificial Intelligence: Implications for the Future of Work," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 9(1), pages 1-35, June.
    7. Mukul G. Asher & Azad Singh Bali & Chang Yee Kwan, 2015. "Public Financial Management In Singapore: Key Characteristics And Prospects," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(03), pages 1-18.
    8. Ho, Yuen-Ping & Ruan, Yi & Hang, Chang-Chieh & Wong, Poh-Kam, 2016. "Technology upgrading of Small-and-Medium-sized Enterprises (SMEs) through a manpower secondment strategy – A mixed-methods study of Singapore's T-Up program," Technovation, Elsevier, vol. 57, pages 21-29.
    9. Holzmann, Robert & Paul, Richard Hinz & Dorfman, Mark, 2008. "Pension systems and reform conceptual framework," Social Protection Discussion Papers and Notes 46175, The World Bank.
    10. Tat Hui, Weng & Toh, Ruby., 2014. "Growth with equity in Singapore : challenges and prospects," ILO Working Papers 994850173402676, International Labour Organization.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Song, Malin & Pan, Heting & Shen, Zhiyang & Tamayo-Verleene, Kristine, 2024. "Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value," Energy Economics, Elsevier, vol. 131(C).
    2. Araz Taeihagh & M Ramesh & Michael Howlett, 2021. "Assessing the regulatory challenges of emerging disruptive technologies," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1009-1019, October.

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    More about this item

    Keywords

    Artificial intelligence; autonomous technologies; government intervention; labour market regulation; labour market restructuring; Singapore; technological change;
    All these keywords.

    JEL classification:

    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy
    • K31 - Law and Economics - - Other Substantive Areas of Law - - - Labor Law
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

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