IDEAS home Printed from https://ideas.repec.org/a/mth/jas888/v11y2023i1p1-21.html
   My bibliography  Save this article

Beef Cattle Cycle in the State of Pará, Amazon, Brazil

Author

Listed:
  • Wânia Mendonça dos Santos
  • Marcos Antônio Souza dos Santos
  • Andréia Santana Bezerra da Silva
  • Maria Lúcia Bahia Lopes
  • Cyntia Meireles Martins
  • Bruno Cabral Soares
  • João Paulo Borges de Loureiro
  • Geany Cleide Carvalho Martins
  • Nilson Luiz Costa
  • José de Brito Lourenço Júnior

Abstract

The production and price behavior of the beef cattle market in the state of Pará, Brazilian Amazon, was evaluated with the objective of characterizing the dynamics of the market and guiding economic decisions made by agents in the beef cattle production chain. Time series of production and prices from the period 1995 to 2021 were analyzed using growth rates and the classical multiplicative method of time series. The cattle herd in Pará showed a growth rate of 4.54% per year from 1995 to 2021, and the slaughter of bovine females fluctuated throughout the historical series with the highest and lowest percentages in the years 2000 and 2011, respectively. There were three complete livestock cycles, differing in duration and amplitude. The average duration of the cycles was 7 years, with a shortening of the cycle over the period of study. Seasonal price indices are higher than 100, which is the annual average index, from September to January and lower than 100 from February to August. The highest price quotations for the arroba of fattened cattle coincide with the off-season period of beef cattle production, which is determined by the carrying capacity of pastures under the influence of weather conditions.

Suggested Citation

  • Wânia Mendonça dos Santos & Marcos Antônio Souza dos Santos & Andréia Santana Bezerra da Silva & Maria Lúcia Bahia Lopes & Cyntia Meireles Martins & Bruno Cabral Soares & João Paulo Borges de Lo, 2023. "Beef Cattle Cycle in the State of Pará, Amazon, Brazil," Journal of Agricultural Studies, Macrothink Institute, vol. 11(1), pages 1-21, March.
  • Handle: RePEc:mth:jas888:v:11:y:2023:i:1:p:1-21
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/jas/article/download/20437/15911
    Download Restriction: no

    File URL: https://www.macrothink.org/journal/index.php/jas/article/view/20437
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul Harris & Bruno Lanfranco & Binbin Lu & Alexis Comber, 2020. "Influence of Geographical Effects in Hedonic Pricing Models for Grass-Fed Cattle in Uruguay," Agriculture, MDPI, vol. 10(7), pages 1-17, July.
    2. Astrid Fliessbach & Rico Ihle, 2020. "Cycles in cattle and hog prices in South America," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1167-1183, October.
    3. Griffith, G.R. & Alford, A.R., 2002. "The US Cattle Cycle and its Influence on the Australian Beef Industry," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 10, pages 1-15, June.
    4. Yair Mundlak & He Huang, 1996. "International Comparisons of Cattle Cycles," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 855-868.
    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. Aadland, David, 2004. "Cattle cycles, heterogeneous expectations and the age distribution of capital," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1977-2002, September.
    2. David Aadland & DeeVon Bailey & S. Feng, "undated". "A theoretical and empirical investigation of the supply response in the U.S. beef-cattle industry," Working Papers 2000-12, Utah State University, Department of Economics.
    3. Xu, Yecheng & Zhang, Yaoqi & Chen, Jiquan & John, Ranjeet, 2019. "Livestock dynamics under changing economy and climate in Mongolia," Land Use Policy, Elsevier, vol. 88(C).
    4. Astrid Fliessbach & Rico Ihle, 2020. "Cycles in cattle and hog prices in South America," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1167-1183, October.
    5. Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2014. "What Drives Commodity Prices?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1455-1468.
    6. Griffith, Garry R. & Parnell, Peter F. & McKiernan, William A., 2005. "The Economic, Environmental and Social Benefits to NSW from Investment in the CRC for Beef Genetics Technologies," Research Reports 42654, New South Wales Department of Primary Industries Research Economists.
    7. David Aadland, "undated". "The economics of cattle supply," Working Papers 2000-11, Utah State University, Department of Economics.
    8. Griffith, Garry R., 2009. "Estimating the economic impact of a major beef industry research and development investment," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 17, pages 1-24.
    9. Yeboah, Osei-Agyeman & Ofori-Boadu, Victor & Salifou, Samaila, 2009. "A Foot and Mouth Disease Induced Model of US Excess Supply of Beef," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46053, Southern Agricultural Economics Association.
    10. Dapeng Zhou & Jing Zhang & Honghua Huan & Nanyan Hu & Yinqiu Li & Jinhua Cheng, 2025. "Assessing the Impact of External Shocks on Prices in the Live Pig Industry Chain: Evidence from China," Sustainability, MDPI, vol. 17(5), pages 1-28, February.
    11. Charles F. Nicholson & Mark W. Stephenson, 2015. "Milk Price Cycles in the U.S. Dairy Supply Chain and Their Management Implications," Agribusiness, John Wiley & Sons, Ltd., vol. 31(4), pages 507-520, October.
    12. Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1998. "Dynamic Equilibrium Economies: A Framework for Comparing Models and Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 433-451.
    13. Muhammad Imran Chaudhry & Mario J. Miranda, 2024. "Endogenous price fluctuations: Evidence from the chicken supply chain in Pakistan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 637-658, March.
    14. Riley, John Michael & Williams, Brian R., 2013. "Cow-Calf Industry Expansion on the Horizon? Market Signals vs. Outside Factors," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143044, Southern Agricultural Economics Association.
    15. Fousekis, Panos, 2024. "Relative prices and relative supplies in the UK beef meat industry: A wavelet cross-correlation analysis," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).
    16. Manuel Landajo & Mar'ia Jos'e Presno, 2024. "The prices of renewable commodities: A robust stationarity analysis," Papers 2402.01005, arXiv.org.
    17. Mbaga, Msafiri Daudi & Coyle, Barry T., 2003. "Beef Supply Response Under Uncertainty: An Autoregressive Distributed Lag Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-21, December.
    18. Aadland, David, 2002. "Cattle Cycles, Expectations And The Age Distribution Of Capital," 2002 Annual meeting, July 28-31, Long Beach, CA 19795, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Omar Enrique Castillo Nunez, 2008. "Comportamiento de los precios del ganado hembra de levante de primera clase en Montería y Sincelejo (Colombia)," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, December.
    20. Ashraf J. Zaied & Hatim M. E. Geli & Andres F. Cibils & Mohammed N. Sawalhah & Jerry L. Holechek & Charlotte C. Gard & Saleh A. Idhirij & Melakeneh G. Gedefaw & Greg L. Torell, 2021. "Beef Cattle Price and Production Patterns in Relation to Drought in New Mexico," Sustainability, MDPI, vol. 13(18), pages 1-20, September.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:mth:jas888:v:11:y:2023:i:1:p:1-21. 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: Technical Support Office The email address of this maintainer does not seem to be valid anymore. Please ask Technical Support Office to update the entry or send us the correct address (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/jas .

    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.