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Maize Supply Response in Vietnam

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  • Huong, Nguyen Van
  • Yorobe, Jose M.

Abstract

This study used a supply response model to determine factors affecting maize supply in Vietnam. It estimated response coefficients from semi-annual time-series data for the period 1986-2011. Using three criteria, it chose the rational expectation hypothesis supply response model (Model I) with the separated price expectation formation hypothesis according to the information set at time (t-1) to estimate the supply response model for maize. Farmers used the available information set to form their expected price. Estimated parameters’ results in Model I indicate that the farmers’ supply had a positive response to the expected price of maize, but was negative to that of cassava. This means that maize and cassava are close substitutes in the supply response models. Maize production also positively responds to the amount of fertilizer per hectare, maize area, one-period lagged investment, irrigation, trend variable, and agricultural extension policy. Recommended policies include: enhancement of the judicious use of fertilizers and possible establishment of local factories; increase in maize area by changing the crop structure and multiple cropping with long-term industrial trees like perennials and fruit trees; improvement of the irrigation system in two deltas and in high production regions; increase in government support to farmers; increase in government spending on research and development of new maize varieties; and improvement of the extension system to provide farmers the needed market and technological information.

Suggested Citation

  • Huong, Nguyen Van & Yorobe, Jose M., 2017. "Maize Supply Response in Vietnam," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(01), June.
    • Handle: RePEc:ags:phajad:259249
    DOI: 10.22004/ag.econ.259249
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    References listed on IDEAS

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    1. Goodwin, Thomas H & Sheffrin, Steven M, 1982. "Testing the Rational Expectations Hypothesis in an Agricultural Market," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 658-667, November.
    2. Marc Nerlove, 1956. "Estimates of the Elasticities of Supply of Selected Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 496-509.
    3. Deshpande, R. S., 1996. "Demand and Supply of Agricultural Commodities - A Review," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 51(01-2), June.
    4. Sheffrin,Steven M., 1996. "Rational Expectations," Cambridge Books, Cambridge University Press, number 9780521474009, January.
    5. Carter, Richard A. L. & Nagar, Anirudh L., 1977. "Coefficients of correlation for simultaneous equation systems," Journal of Econometrics, Elsevier, vol. 6(1), pages 39-50, July.
    6. Ghosh, Nilabja & Neogi, Chiranjib, 1995. "Supply Response of Foodgrains and Policy Actions: A Model with Rotational Expectation Hypothesis," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 50(2).
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