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Vulnerability from trade in Vietnam

Author

Listed:
  • Emiliano Magrini

    (Food and Agriculture Organization of the United Nations, Rome (IT).)

  • Pierluigi Montalbano

    (Department of Economics and Social Sciences, Sapienza University of Rome (IT).)

  • L. Alan Winters

    (Department of Economics, University of Sussex (UK))

Abstract

This paper assesses vulnerability from trade in Vietnam by presenting an extended version of Ligon and Schechter’s (2003) Vulnerability as low Expected Utility (VEU) measure. It uses the VHLSS panel data covering the period 2002-06. The empirical results show that risk-induced vulnerability and het-erogeneity in trade exposure matters in determining household overall vulnerability and that this is not linked to the actual manifestation of shocks. Although it does not represent, by any means, an argument against free trade, this work is relevant for policymaking since it contributes to deepen our knowledge on the subtle links between trade openness and vulnerability providing some insight on the stabilisation needs of trade reforms. These include protecting vulnerable farmers from excessive price volatility, as well as fostering their risk management strategies.

Suggested Citation

  • Emiliano Magrini & Pierluigi Montalbano & L. Alan Winters, 2017. "Vulnerability from trade in Vietnam," Working Papers 12/17, Sapienza University of Rome, DISS.
    • Handle: RePEc:saq:wpaper:12/17
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    More about this item

    Keywords

    trade openness; vulnerability; poverty; risk; consumption behaviour; Vietnam.;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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