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Structural Transformation, Biased Technological Change and Employment in Vietnam

Author

Listed:
  • Philip Abbott

    (Purdue University)

  • Finn Tarp

    (UNU-WIDER, Helsinki, Finland and University of Copenhagen)

  • Ce Wu

    (Indiana Wesleyan University)

Abstract

Employment in Vietnam and elsewhere in Asia has grown more slowly than GDP over the last several decades. This means GDP per capita is rising. Vietnamese policymakers, however, are concerned that ongoing structural transformation is creating too few jobs. We use data for seven aggregated sectors and the overall Vietnamese economy to examine the roles played by structural transformation, technical change and institutional bias towards capital-intensive development to evaluate the Vietnamese development experience. We find that while some of the difference between GDP and employment growth can be attributed to capital-intensive investment by the state, the majority of the difference is because of technical change. A positive rather than pessimistic overall assessment is warranted based on the available evidence.

Suggested Citation

  • Philip Abbott & Finn Tarp & Ce Wu, 2017. "Structural Transformation, Biased Technological Change and Employment in Vietnam," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(1), pages 54-72, January.
  • Handle: RePEc:pal:eurjdr:v:29:y:2017:i:1:d:10.1057_ejdr.2015.64
    DOI: 10.1057/ejdr.2015.64
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    Cited by:

    1. Finn Tarp, 2018. "Vietnam: The dragon that rose from the ashes," WIDER Working Paper Series wp-2018-126, World Institute for Development Economic Research (UNU-WIDER).
    2. Finn Tarp, 2018. "Vietnam: The dragon that rose from the ashes," WIDER Working Paper Series 126, World Institute for Development Economic Research (UNU-WIDER).
    3. Doan, Tinh & Ha, Van & Tran, Tuyen & Yang, Judy, 2023. "Dynamics of wage inequality over the prolonged economic transformation: The case of Vietnam," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 816-834.

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