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Premature Deindustrialization through the Lens of Occupations: Which Jobs, Why, and Where?

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  • Francisco David Kunst

    (Vrije Universiteit Amsterdam)

Abstract

A growing literature documents that deindustrialization has often set in at historically low levels of income in recent decades. However, there is little evidence on which kind of jobs are disappearing prematurely, and some debate on whether the phenomenon is transitory or structural. Using a new data set on manufacturing employment by occupation, this article makes four propositions about `premature deindustrialization': First and second, the disappearing jobs have been among the least skilled, yet most formal. Third, they are considered to be vulnerable to automation by ICT. Fourth, the phenomenon pertains most clearly to high and middle income countries, as low income countries have been spared from premature job losses. Overall, the employment patterns are consistent with a pervasive shift of the `automation frontier' separating tasks that are automated from those which are not, and suggest a structural decrease in the ability of manufacturing to employ unskilled labor productively.

Suggested Citation

  • Francisco David Kunst, 2019. "Premature Deindustrialization through the Lens of Occupations: Which Jobs, Why, and Where?," Tinbergen Institute Discussion Papers 19-033/V, Tinbergen Institute, revised 30 Dec 2020.
  • Handle: RePEc:tin:wpaper:20190033
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    References listed on IDEAS

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    Cited by:

    1. R, Rekha & M, Suresh Babu, 2022. "Premature deindustrialisation and growth slowdowns in middle-income countries," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 377-389.
    2. Arief Anshory Yusuf & Putri Riswani Halim, 2021. "Inequality and structural transformation in the changing nature of work: The case of Indonesia," WIDER Working Paper Series wp-2021-81, World Institute for Development Economic Research (UNU-WIDER).
    3. Dosi, Giovanni & Riccio, Federico & Virgillito, Maria Enrica, 2021. "Varieties of deindustrialization and patterns of diversification: why microchips are not potato chips," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 182-202.
    4. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.

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    More about this item

    Keywords

    Manufacturing; Deindustrialization; Structural transformation; Globalization; Formality of employment;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development

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