IDEAS home Printed from https://ideas.repec.org/a/ags/phajad/259249.html
   My bibliography  Save this article

Maize Supply Response in Vietnam

Author

Listed:
  • 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(1), June.
  • Handle: RePEc:ags:phajad:259249
    DOI: 10.22004/ag.econ.259249
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/259249/files/AJAD_Maize%20Supply%20Response_Vietnam.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.259249?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Deshpande, R. S., 1996. "Demand and Supply of Agricultural Commodities - A Review," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 51(1-2), June.
    2. 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.
    3. 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.
    4. 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).
    5. Sheffrin,Steven M., 1996. "Rational Expectations," Cambridge Books, Cambridge University Press, number 9780521479394, September.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seale, James L. & Shonkwiler, J. S., 1987. "Rationality, Price Risk, and Response," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 19(1), pages 111-118, July.
    2. Skold, Karl Durwood, 1989. "The integration of alternative information systems: an application to the Hogs and Pigs report," ISU General Staff Papers 1989010108000010239, Iowa State University, Department of Economics.
    3. Hazard, Suzanne & Shonkwiler, J. Scott, 1984. "The Use of Expectations In Agricultural Supply Response," 1984 Annual Meeting, August 5-8, Ithaca, New York 278895, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Moore, Kevin Clare, 1985. "Predictive econometric modeling of the United States farmland market: an empirical test of the rational expectations hypothesis," ISU General Staff Papers 198501010800008872, Iowa State University, Department of Economics.
    5. Tsai, Grace Yueh-Hsiang, 1989. "A dynamic model of the U.S. cotton market with rational expectations," ISU General Staff Papers 1989010108000012168, Iowa State University, Department of Economics.
    6. Driskill, Robert A. & Sheffrin, Steven M., 1982. "Some Evidence In Favor Of A Monetary Model Of Exchange Rate Determination," 1982 Annual Meeting, August 1-4, Logan, Utah 279142, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Fisher, Brian S., 1983. "Rational Expectations In The Australian Wool Industry," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 27(3), pages 1-9, December.
    8. Bryan Caplan & Edward Stringham, 2005. "Mises, bastiat, public opinion, and public choice," Review of Political Economy, Taylor & Francis Journals, vol. 17(1), pages 79-105.
    9. Ndayitwayeko, W-M. & Odhiambo, M.O. & Nyangweso, P.M. & Korir, M.K., 2012. "Determinants of Beef Meat Supply in Burundi: A Vector Error Correction Model Approach Applied to structural Nerlov Paradign," 2012 Eighth AFMA Congress, November 25-29, 2012, Nairobi, Kenya 159414, African Farm Management Association (AFMA).
    10. Chen, Shuai & Chen, Xiaoguang & Xu, Jintao, 2013. "Impacts of Climate Change on Corn and Soybean Yields in China," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149739, Agricultural and Applied Economics Association.
    11. Amina Al Naabi & Shekar Bose, 2020. "Do Regulatory Measures Necessarily Affect Oman’s Seafood Export-Supply?," SAGE Open, , vol. 10(3), pages 21582440209, August.
    12. Burton, Diana M. & Love, H. Alan, 1996. "A Review of Alternative Expectations Regimes in Commodity Markets: Specification, Estimation, and Hypothesis Testing Using Structural Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(2), pages 213-231, October.
    13. Manmohan Aseri & Milind Dawande & Ganesh Janakiraman & Vijay S. Mookerjee, 2020. "Ad-Blockers: A Blessing or a Curse?," Information Systems Research, INFORMS, vol. 31(2), pages 627-646, June.
    14. Karimova, Amira & Simsek, Esra & Orhan, Mehmet, 2020. "Policy implications of the Lucas Critique empirically tested along the global financial crisis," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 153-172.
    15. Bill Russell & Dooruj Rambaccussing, 2019. "Breaks and the statistical process of inflation: the case of estimating the ‘modern’ long-run Phillips curve," Empirical Economics, Springer, vol. 56(5), pages 1455-1475, May.
    16. Haile, Mekbib G. & Kalkuhl, Matthias & Braun, Joachim von, 2013. "Inter-and intra-annual global crop acreage response to prices and price risk," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149695, Agricultural and Applied Economics Association.
    17. McNulty, Mark S., 1985. "Information usage in the formation of price expectations: theory and econometric tests," ISU General Staff Papers 1985010108000013085, Iowa State University, Department of Economics.
    18. Shumway, C. Richard & Talpaz, Hovav, 1977. "Verification of Linear Programming Solutions, with Emphasis on Supply Implications," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 9(2), pages 1-8, December.
    19. Haile, M.G. & Kalkuhl, M., 2014. "Volatility in the international food markets: implications for global agricultural supply and for market and price policy," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    20. Min, Shi & Wang, Xiaobing & Liu, Min & Jikun, Huang, 2018. "The Asymmetric Response of Farmers to the Expected Change of Rubber Price: the Roles of Sunk Cost and Path Dependency," 2018 Annual Meeting, August 5-7, Washington, D.C. 274122, Agricultural and Applied Economics Association.

    Corrections

    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:phajad:259249. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/searcph.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.