IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/98766.html
   My bibliography  Save this paper

Causal Factors of Australian Beef Exports

Author

Listed:
  • Harris, Patrick

Abstract

This study aims to understand how the macroeconomic and microeconomic indicators influence the export market of beef in Australia as well as the inclusion of a bivariate (0,1) dummy variable, accounting for extreme climate aberrations such as the ‘Millennium Drought’ and the 2017-current drought. Additionally, this study addressed whether there is a delayed effect of the independent variables on Australian beef exports and draw upon neoclassical economic growth theory to assess if this economic paradigm holds in the real world. The paper identified and evaluated the casual factors of Australian beef exports and found there to be a two-quarter lag in bank loans to agriculture and a one-quarter lag in RBA interest rate before their effect was statistically significant. The results explore the various implications that depend on the perspective of the stakeholder, whether that be the farmer or the government.

Suggested Citation

  • Harris, Patrick, 2020. "Causal Factors of Australian Beef Exports," MPRA Paper 98766, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:98766
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/98766/1/MPRA_paper_98766.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carlin, Wendy & Glyn, Andrew & Van Reenen, John, 2001. "Export Market Performance of OECD Countries: An Empirical Examination of the Role of Cost Competitiveness," Economic Journal, Royal Economic Society, vol. 111(468), pages 128-162, January.
    2. Dallas S. Batten & Michael T. Belongia, 1984. "The recent decline in agricultural exports: is the exchange rate the culprit?," Review, Federal Reserve Bank of St. Louis, vol. 66(Oct), pages 5-14.
    3. Muhammad Tariq Majeed & Eatzaz Ahmad, 2006. "Determinants of Exports in Developing Countries," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(4), pages 1265-1276.
    4. Yu Sheng & Shiji Zhao & Katarina Nossal & Dandan Zhang, 2015. "Productivity and farm size in Australian agriculture: reinvestigating the returns to scale," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(1), pages 16-38, January.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. Hunter Humphries & Stephen Knowles, 1998. "Does agriculture contribute to economic growth? Some empirical evidence," Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 775-781.
    7. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    8. Claudio Bravo-Ortega & Daniel Lederman, 2004. "Agricultural productivity and its determinants: revisiting international experiences," Estudios de Economia, University of Chile, Department of Economics, vol. 31(2 Year 20), pages 133-163, December.
    9. Jesus Felipe & F. Gerard Adams, 2005. ""A Theory of Production" The Estimation of the Cobb-Douglas Function: A Retrospective View," Eastern Economic Journal, Eastern Economic Association, vol. 31(3), pages 427-445, Summer.
    10. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    11. Kingwell, Ross S., 2006. "Climate change in Australia: agricultural impacts and adaptation," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 14.
    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. repec:use:tkiwps:1818 is not listed on IDEAS
    2. repec:use:tkiwps:3232 is not listed on IDEAS
    3. Moritz Flubacher & George Sheldon & Adrian Müller, 2015. "Comparison of the Economic Performance between Organic and Conventional Dairy Farms in the Swiss Mountain Region Using Matching and Stochastic Frontier Analysis," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 7(1), pages 76-84.
    4. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    5. Macedo, Pedro & Scotto, Manuel, 2014. "Cross-entropy estimation in technical efficiency analysis," Journal of Mathematical Economics, Elsevier, vol. 54(C), pages 124-130.
    6. Nazneen K. Chowdhury & Tom Kompas & Kaliappa Kalirajan, 2010. "Impact of control measures in fisheries management: evidence from Bangladesh's industrial trawl fishery," Economics Bulletin, AccessEcon, vol. 30(1), pages 765-773.
    7. Abdelaati Daouia & Léopold Simar & Paul W. Wilson, 2017. "Measuring firm performance using nonparametric quantile-type distances," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 156-181, March.
    8. Ortega Irizo, Francisco Javier & Gavilán Ruiz, José Manuel, 2011. "Algunas observaciones acerca del uso de software en la estimación del modelo Half-Normal = Some Notes about the Using of Software to Estimate the Half-Normal Model," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 11(1), pages 3-16, June.
    9. Vittadini, Giorgio & Sturaro, Caterina & Folloni, Giuseppe, 2022. "Non-Cognitive Skills and Cognitive Skills to measure school efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    10. Martin, Sheila Ann, 1992. "The effectiveness of state technology incentives: evidence from the machine tool industry," ISU General Staff Papers 1992010108000011381, Iowa State University, Department of Economics.
    11. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    12. David Mayston, 2015. "Analysing the effectiveness of public service producers with endogenous resourcing," Journal of Productivity Analysis, Springer, vol. 44(1), pages 115-126, August.
    13. Wen-Jhan Jane, 2013. "Overpayment and Reservation Salary in the Nippon Professional Baseball League," Journal of Sports Economics, , vol. 14(6), pages 563-583, December.
    14. Rajendran, Srinivasulu, 2014. "Technical Efficiency of Fruit and Vegetable Producers in Tamil Nadu, India: A Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 11(1), pages 1-17, June.
    15. Sebastian Lakner & Thelma Brenes‐Muñoz & Bernhard Brümmer, 2017. "Technical Efficiency in Chilean Agribusiness Industry: A Metafrontier Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 302-323, June.
    16. Andre Santos & Joao Tusi & Newton Da Costa Jr & Sergio Da Silva, 2005. "Evaluating Brazilian Stock Mutual Funds with Stochastic Frontiers," Finance 0510030, University Library of Munich, Germany.
    17. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    18. Luis R. Murillo-Zamorano & Juan Vega-Cervera, "undated". "The Use of Parametric and Non Parametric Frontier Methods to Measure the Productive Efficiency in the Industrial Sector. A Comparative Study," Discussion Papers 00/17, Department of Economics, University of York.
    19. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    20. Thi Bich Tran & R. Quentin Grafton & Tom Kompas, 2008. "Firm Efficiency in a Transitional Economy: Evidence from Vietnam," Asian Economic Journal, East Asian Economic Association, vol. 22(1), pages 47-66, March.
    21. Nuno Ferreira & Francisca Mendonça Souza & Adriano Mendonça Souza, 2014. "PSI-20 Portfolio Efficiency Analysis with SFA," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 4(3), pages 785-785.
    22. Vangelis Tzouvelekas & Konstantinos Giannakas & Peter Midmore & Konstantinos Mattas, 1997. "Technical efficiency measures for olive-growing farms in Crete, Greece," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 3(2), pages 154-169, May.

    More about this item

    Keywords

    Beef ARDL Econometrics Australian markets;

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:98766. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.