IDEAS home Printed from https://ideas.repec.org/a/ags/rdecag/184565.html
   My bibliography  Save this article

Determinantes de la Oferta de Exportación de Mango: estudio de caso para el Perú

Author

Listed:
  • Arévalo, Jorge Luis Sánchez
  • Lima, Joao Ricardo Ferreira de
  • Araújo, Adriano Firmino V. de

Abstract

Mango is one of the most consumed fruit in the world and the most exported by Peru. At present, Peru is the sixth largest exporter in the world. Therefore, the objective of this paper is to analyze the determinants of mango exports by Peru by making more focus to the main target markets, namely the United States and the European Union for the period from 2000-2011. For this end, we used the model of Vector Error Correction. The choice of model is discussed in the methodology. The variables used to explain the determinants of mango exports are domestic prices, wholesale prices in the United States and the European Union, the internal income of the United States and the European Union and the exchange rate euro / dollar. The results show that international prices and income in the United States are determinant to explain exports of this fruit. The results show that the international prices and the income of importers markets are determinant to explain the export of this fruit.

Suggested Citation

  • Arévalo, Jorge Luis Sánchez & Lima, Joao Ricardo Ferreira de & Araújo, Adriano Firmino V. de, 2013. "Determinantes de la Oferta de Exportación de Mango: estudio de caso para el Perú," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 51(Supplemen), pages 1-20, December.
    • Handle: RePEc:ags:rdecag:184565
    DOI: 10.22004/ag.econ.184565
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/184565/files/Artigo%206.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.184565?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. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    5. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    6. Morris Goldstein & Mohsin S. Khan, 2017. "The Supply and Demand for Exports: A Simultaneous Approach," World Scientific Book Chapters, in: TRADE CURRENCIES AND FINANCE, chapter 2, pages 83-104, World Scientific Publishing Co. Pte. Ltd..
    7. Krugman, Paul R, 1981. "Intraindustry Specialization and the Gains from Trade," Journal of Political Economy, University of Chicago Press, vol. 89(5), pages 959-973, October.
    8. Ferro, Gustavo & Lentini, Emilio, 2010. "Economías de escala en los servicios de agua potable y alcantarillado," Documentos de Proyectos 3831, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    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. Maurice Kugler & Reza Ofoghi, 2005. "Does Insurance Promote Economic Growth? Evidence from the UK," Money Macro and Finance (MMF) Research Group Conference 2005 8, Money Macro and Finance Research Group.
    2. Nafeesa Yunus, 2019. "Dynamic Linkages Among U.S. Real Estate Sectors Before and After the Housing Crisis," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 264-289, February.
    3. Nafeesa Yunus, 2009. "Increasing Convergence Between U.S. and International Securitized Property Markets: Evidence Based on Cointegration Tests," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(3), pages 383-411, September.
    4. Isabel Cortés-Jiménez & Manuel Artís, 2005. "The role of the tourism sector in economic development - Lessons from the Spanish experience," ERSA conference papers ersa05p488, European Regional Science Association.
    5. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    6. Claude Diebolt & Cédric Doliger, 2005. "Becker vs. Easterlin. Education, Fertility and Growth in France after World War II," Working Papers 05-03, Association Française de Cliométrie (AFC).
    7. Nafeesa Yunus & J. Hansz & Paul Kennedy, 2012. "Dynamic Interactions Between Private and Public Real Estate Markets: Some International Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1021-1040, November.
    8. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Nuclear energy consumption, oil prices, and economic growth: Evidence from highly industrialized countries," Energy Economics, Elsevier, vol. 33(2), pages 236-248, March.
    9. Chien-Chung Nieh & Hwey-Yun Yau & Ken Hung & Hong-Kou Ou & Shine Hung, 2013. "Cointegration and causal relationships among steel prices of Mainland China, Taiwan, and USA in the presence of multiple structural changes," Empirical Economics, Springer, vol. 44(2), pages 545-561, April.
    10. Mehmet Balcilar & Evrim Toren, 2021. "The Time-Varying Effect of Asset Prices on Turkey’s Circular Economy," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    11. Yunus, Nafeesa, 2015. "Trends and convergence in global housing markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 100-112.
    12. Kühl, Michael, 2010. "Bivariate cointegration of major exchange rates, cross-market efficiency and the introduction of the Euro," Journal of Economics and Business, Elsevier, vol. 62(1), pages 1-19, January.
    13. Eleni Constantinou & Avo Kazandjian & George Kouretas & Vera Tahmazian, 2005. "Cointegration, causality and domestic portfolio diversification in the Cyprus Stock Exchange," Working Papers 0522, University of Crete, Department of Economics.
    14. Yunus, Nafeesa & Swanson, Peggy E., 2012. "Changing integration of EMU public property markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(1), pages 194-208.
    15. de Andrade, Joaquim Pinto & Divino, Jose Angelo, 2005. "Monetary policy of the Bank of Japan--inflation target versus exchange rate target," Japan and the World Economy, Elsevier, vol. 17(2), pages 189-208, April.
    16. Chien-Chiang Lee & Chun-Ping Chang, 2006. "The Long-Run Relationship Between Defence Expenditures And Gdp In Taiwan," Defence and Peace Economics, Taylor & Francis Journals, vol. 17(4), pages 361-385.
    17. Gaolu Zou & Kwong Wing Chau, 2020. "Effects of International Crude Oil Prices on Energy Consumption in China," Energies, MDPI, vol. 13(15), pages 1-17, July.
    18. Rolando Peláez, 2012. "The housing bubble in real-time: the end of innocence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 211-225, January.
    19. Kyriakos Emmanouilidis & Christos Karpetis, 2020. "The Defense–Growth Nexus: A Review of Time Series Methods and Empirical Results," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(1), pages 86-104, January.
    20. Chien-Chiang Lee & Mei-Se Chien, 2011. "Empirical Modelling of Regional House Prices and the Ripple Effect," Urban Studies, Urban Studies Journal Limited, vol. 48(10), pages 2029-2047, August.

    More about this item

    Keywords

    Agribusiness;

    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:rdecag:184565. 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/soberea.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.