IDEAS home Printed from
   My bibliography  Save this paper

Examine the Agriculture, Poverty, and Climate Change Nexus in Vietnam


  • Yu, Bingxin
  • Zhu, Tingju
  • Breisinger, Clemens
  • Manh Hai, Nguyen


Vietnam is likely to be among the hardest hit countries by climate change, which may threaten the recent progress it has made in accelerating agricultural growth and poverty reduction. To examine how agriculture and the rural poor may be affected by a changing climate, this paper measures Vietnamese farmers’ adaptation behavior in terms of adjustments to the production portfolio and input usage. Specifically, the paper estimates a rice yield function based on household-level crop production, long-term climate measurements and recent weather shocks. The results suggest that rice production will suffer from climate change. However, Vietnamese farmers are likely to respond to changes in rainfall and temperature by adjusting input usage. While this will help maintaining productivity levels, expanding irrigation and agricultural intensification will be key components of climate change adaptation strategies at farm and national level. Localized policy packages aiming at increasing yield by focusing on vulnerable groups (ethnic-minority and/or the poor) can help achieve multiple development goals of poverty reduction, food security and climate change adaptation.

Suggested Citation

  • Yu, Bingxin & Zhu, Tingju & Breisinger, Clemens & Manh Hai, Nguyen, 2012. "Examine the Agriculture, Poverty, and Climate Change Nexus in Vietnam," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126876, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:126876

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
    2. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    3. Glewwe, Paul & Kremer, Michael & Moulin, Sylvie & Zitzewitz, Eric, 2004. "Retrospective vs. prospective analyses of school inputs: the case of flip charts in Kenya," Journal of Development Economics, Elsevier, vol. 74(1), pages 251-268, June.
    4. Minot, Nicholas & Baulch, Bob & Epperecht, Michael, 2006. "Poverty and inequality in Vietnam: spatial patterns and geographic determinants," Research reports 148, International Food Policy Research Institute (IFPRI).
    5. Alejandro Nin-Pratt & Bingxin Yu & Shenggen Fan, 2010. "Comparisons of agricultural productivity growth in China and India," Journal of Productivity Analysis, Springer, vol. 33(3), pages 209-223, June.
    6. Jesus Felipe & Rana Hasan & J. S. L. McCombie, 2008. "Correcting for biases when estimating production functions: an illusion of the laws of algebra?," Cambridge Journal of Economics, Oxford University Press, vol. 32(3), pages 441-459, May.
    7. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    8. Dasgupta, Susmita & Laplante, Benoit & Meisner, Craig & Wheeler, David & Jianping Yan, 2007. "The impact of sea level rise on developing countries : a comparative analysis," Policy Research Working Paper Series 4136, The World Bank.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Climate change; poverty; Vietnam; rice; control function; weak instruments; multiple endogenous variables; Heckman; Agricultural and Food Policy; Environmental Economics and Policy; Food Security and Poverty;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iaae12:126876. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.