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European Union Import Demand for In-Shell Peanuts

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Listed:
  • Boonsaeng, Tullaya
  • Fletcher, Stanley M.
  • Carpio, Carlos E.

Abstract

This paper analyzes the European Union (EU) import demand for in-shell peanuts from three sources: the United States, China, and the rest of the world. We find that peanuts from different sources are differentiated by EU consumers. The expenditure elasticity is elastic for U.S. in-shell peanuts, which is associated with their higher quality. The conditional own price elasticities are more elastic for U.S. and Chinese in-shell peanuts. These findings have at least two implications. First, U.S. producers and exporters should direct efforts to ensure that in-shell peanuts exported to the EU are of the best possible quality, and, second, promotion efforts should stress the quality of U.S peanuts as an advertising tool.

Suggested Citation

  • Boonsaeng, Tullaya & Fletcher, Stanley M. & Carpio, Carlos E., 2008. "European Union Import Demand for In-Shell Peanuts," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(3), pages 1-11, December.
    • Handle: RePEc:ags:joaaec:47269
    DOI: 10.22004/ag.econ.47269
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    References listed on IDEAS

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    1. Richard Blundell & Jean-Marc Robin, 2000. "Latent Separability: Grouping Goods without Weak Separability," Econometrica, Econometric Society, vol. 68(1), pages 53-84, January.
    2. Yang, Seung-Ryong & Koo, Won W., 1994. "Japanese Meat Import Demand Estimation With The Source Differentiated Aids Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-13, December.
    3. Miller, Bill R. & Mabbs-Zeno, Carl, 1992. "Estimates Of Government Intervention Levels In U.S. Peanut Markets," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(1), pages 153-162, July.
    4. Hongyi Li & G. S. Maddala, 1999. "Bootstrap Variance Estimation Of Nonlinear Functions Of Parameters: An Application To Long-Run Elasticities Of Energy Demand," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 728-733, November.
    5. Green, Richard & Hahn, William & Rocke, David, 1987. "Standard Errors for Elasticities: A Comparison of Bootstrap and Asymptotic Standard Errors," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 145-149, January.
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    Cited by:

    1. Luis A Sandoval & Carlos E Carpio & Marcos Sanchez-Plata, 2019. "The effect of ‘Traffic-Light’ nutritional labelling in carbonated soft drink purchases in Ecuador," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-18, October.
    2. Makram El‐Shagi & William C. Sawyer & Kiril Tochkov, 2022. "The income elasticity of import demand: A meta‐survey," Pacific Economic Review, Wiley Blackwell, vol. 27(1), pages 18-41, February.
    3. Nzaku, Kilungu & Houston, Jack E. & Fonsah, Esendugue Greg, 2010. "A source-differentiated analysis of tropical fresh fruit imports," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61663, Agricultural and Applied Economics Association.
    4. Agyekum, Michael & Jolly, Curtis M., 2017. "Peanut trade and aflatoxin standards in Europe: Economic effects on trading countries," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 114-128.

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    Keywords

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    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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