IDEAS home Printed from https://ideas.repec.org/p/ags/aaea06/21445.html
   My bibliography  Save this paper

Potential Effects of Transgenic Rice on Farm Households' Nutritional Status in Bangladesh

Author

Listed:
  • Liang, Yan
  • Reaves, Dixie Watts
  • Norton, George W.

Abstract

The spread of agricultural biotechnology in developing countries has grown rapidly in recent years. Several transgenic products are under development with potential to address a variety of adverse production conditions. These products have raised hope that yield and quality improvements in rice will accelerate and help in the battle against under-nutrition, especially in areas of prevalent under-nutrition in Asia. A farm household model is developed and estimated to project ex ante effects of introducing transgenic rice on farm households¡¯ nutritional status in Bangladesh. Assuming the yield effects of transgenic rice are similar to that of previous high yield varieties, the model estimates the profit effect of introducing transgenic rice. The profit effect is then translated into effects on farmers¡¯ consumption decisions. The results indicate that the total profit elasticity with respect to the percentage of rice area in high yield variety is 0.08. The calorie elasticity with respect to the percentage of rice area in HYV ranges from 0.062 in non-poor to 0.074 in poor households, and the protein elasticity ranges from 0.075 in non-poor to 0.084 in poor. Therefore, the results indicate that transgenic rice is likely to play a significant role in improving farm households¡¯ nutritional status in terms of total calorie/protein intake.

Suggested Citation

  • Liang, Yan & Reaves, Dixie Watts & Norton, George W., 2006. "Potential Effects of Transgenic Rice on Farm Households' Nutritional Status in Bangladesh," 2006 Annual meeting, July 23-26, Long Beach, CA 21445, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea06:21445
    DOI: 10.22004/ag.econ.21445
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21445/files/sp06li05.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.21445?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. Hareau, Guy Gaston & Norton, George W. & Mills, Bradford F. & Peterson, Everett B., 2004. "Potential Benefits Of Transgenic Rice In Asia: A General Equilibrium Approach," 2004 Annual meeting, August 1-4, Denver, CO 20334, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. William A. Barnett, 1979. "Theoretical Foundations for the Rotterdam Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(1), pages 109-130.
    3. Lau, Lawrence J & Lin, Wuu-Long & Yotopoulos, Pan A, 1978. "The Linear Logarithmic Expenditure System: An Application to Consumption-Leisure Choice," Econometrica, Econometric Society, vol. 46(4), pages 843-868, July.
    4. Amartya K. Sen, 1966. "Peasants and Dualism with or without Surplus Labor," Journal of Political Economy, University of Chicago Press, vol. 74(5), pages 425-425.
    5. Barnum, Howard N. & Squire, Lyn, 1979. "An econometric application of the theory of the farm-household," Journal of Development Economics, Elsevier, vol. 6(1), pages 79-102, February.
    6. Matin Qaim & Alain de Janvry, 2003. "Genetically Modified Crops, Corporate Pricing Strategies, and Farmers' Adoption: The Case of Bt Cotton in Argentina," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 814-828.
    7. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    8. BARTEN, Anton P., 1969. "Maximum likelihood estimation of a complete system of demand equations," LIDAM Reprints CORE 34, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    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. Barnett, William A. & Serletis, Apostolos, 2008. "The Differential Approach to Demand Analysis and the Rotterdam Model," MPRA Paper 12319, University Library of Munich, Germany.
    2. Holt, Matthew T., 2002. "Inverse demand systems and choice of functional form," European Economic Review, Elsevier, vol. 46(1), pages 117-142, January.
    3. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    4. Ray, Ranjan, 1982. "The testing and estimation of complete demand systems on household budget surveys," European Economic Review, Elsevier, vol. 17(3), pages 349-369.
    5. Barnett, William A. & Serletis, Apostolos, 2008. "Measuring Consumer Preferences and Estimating Demand Systems," MPRA Paper 12318, University Library of Munich, Germany.
    6. Bjarne S. Jensen & Paul de Boer, 2006. "Long-Run Patterns of Demand: The Expenditure System of the CDES Indirect Utility Function - Theory and Applications," DEGIT Conference Papers c011_056, DEGIT, Dynamics, Economic Growth, and International Trade.
    7. Ignacio, Escañuela Romana, 2019. "The elasticities of passenger transport demand in the Northeast Corridor," Research in Transportation Economics, Elsevier, vol. 78(C).
    8. Toshinobu Matsuda, 2005. "Differential Demand Systems: A Further Look at Barten's Synthesis," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 607-619, January.
    9. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    10. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    11. Keuzenkamp, Hugo A. & Barten, Anton P., 1995. "Rejection without falsification on the history of testing the homogeneity condition in the theory of consumer demand," Journal of Econometrics, Elsevier, vol. 67(1), pages 103-127, May.
    12. Arranz, M., 1996. "Forecasting Private Consumption Structure in European Countries: SKIM Model Results and Comparison with other Approaches," Faculty of Economics 04, Universidad de Santiago de Compostela, Faculty of Economics, Applied Econometric and Quantitative Studies.
    13. James L. Seale & Mary A. Marchant & Alberto Basso, 2003. "Imports versus Domestic Production: A Demand System Analysis of the U.S. Red Wine Market," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(1), pages 187-202.
    14. Paris, Quirino & Caracciolo, Francesco, 2012. "Quantity Versus Shares in Estimating Demand Systems," Working Papers 124575, University of California, Davis, Department of Agricultural and Resource Economics.
    15. van Heeswijk, B J & de Boer, P M C & Harkema, R, 1993. "A Dynamic Specification of an AIDS Import Allocation Model," Empirical Economics, Springer, vol. 18(1), pages 57-73.
    16. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2020. "Food security in Kenya: Insights from a household food demand model," Economic Modelling, Elsevier, vol. 92(C), pages 99-108.
    17. Seale, James L. & Solano, Alexis A., 2012. "The changing demand for energy in rich and poor countries over 25years," Energy Economics, Elsevier, vol. 34(6), pages 1834-1844.
    18. Wisdom Akpalu & Michael Adu Okyere, 2023. "Fish Protein Transition in a Coastal Developing Country," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(3), pages 825-843, March.
    19. Mateo Velásquez‐Giraldo & Gustavo Canavire‐Bacarreza & Kim P. Huynh & David T. Jacho‐Chavez, 2018. "Flexible Estimation of Demand Systems: A Copula Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1109-1116, November.
    20. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, September.

    More about this item

    Keywords

    Food Security and Poverty;

    Statistics

    Access and download statistics

    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:aaea06:21445. 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/aaeaaea.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.