IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v150y2017icp46-53.html
   My bibliography  Save this article

Economics and risk of adaptation options in the Australian cotton industry

Author

Listed:
  • Luo, Qunying
  • Behrendt, Karl
  • Bange, Michael

Abstract

Economic impact and the cost and risk of adaptation from future climate change (CC) are the key concern of primary industries including the Australian cotton industry. Utilising outputs from biophysical modelling studies, this study quantifies the economic impact of future CC on irrigated and rain-fed cotton production systems and evaluates the effectiveness of adaptation options in dealing with the projected negative impacts or in capturing the opportunity of future CC for the period centred on 2030. For irrigated cotton, three key cotton production areas in eastern Australia were considered: Dalby, Narrabri and Hillston with rain-fed cotton is also analysed at the first two sites. Adaptation options considered included changing planting time, row configurations, irrigation scheduling triggers and rotation patterns. For irrigated cotton under CC, results indicated that (1) gross margin (GM) would increase or decrease depending on location and across irrigation triggers when associated with normal planting times; (2) later plantings, especially +15d, would have positive impacts on GMs across all locations when compared with normal planting times; (3) overall, rotations of cotton three years in and one year out would perform the best in terms of GMs when compared with other rotation patterns across all locations; (4) the least negatively affected rotation strategy would be cotton 2years in and 1year out in terms of profitability and risk; and (5) later planting at +30d would increase whole farm profitability compared with normal planting across all irrigation triggers. It was found that the positive impacts of late plantings on GM and whole farm profitability could not offset the negative impacts of CC at Narrabri and Hillston, indicating that other adaptation options are maybe needed in order to maintain current profitability.

Suggested Citation

  • Luo, Qunying & Behrendt, Karl & Bange, Michael, 2017. "Economics and risk of adaptation options in the Australian cotton industry," Agricultural Systems, Elsevier, vol. 150(C), pages 46-53.
  • Handle: RePEc:eee:agisys:v:150:y:2017:i:c:p:46-53
    DOI: 10.1016/j.agsy.2016.09.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X16305601
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2016.09.014?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cacho, O. J. & Bywater, A. C. & Dillon, J. L., 1999. "Assessment of production risk in grazing models," Agricultural Systems, Elsevier, vol. 60(2), pages 87-98, May.
    2. Richards, Q.D. & Bange, M.P. & Johnston, S.B., 2008. "HydroLOGIC: An irrigation management system for Australian cotton," Agricultural Systems, Elsevier, vol. 98(1), pages 40-49, July.
    3. Hearn, A. B., 1994. "OZCOT: A simulation model for cotton crop management," Agricultural Systems, Elsevier, vol. 44(3), pages 257-299.
    4. Luo, Qunying & Bange, Michael & Braunack, Michael & Johnston, David, 2016. "Effectiveness of agronomic practices in dealing with climate change impacts in the Australian cotton industry — A simulation study," Agricultural Systems, Elsevier, vol. 147(C), pages 1-9.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tristan D. Pearce & Evelyn H. Rodríguez & David Fawcett & James D. Ford, 2018. "How Is Australia Adapting to Climate Change Based on a Systematic Review?," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    2. Zinnanti, Cinzia & Schimmenti, Emanuele & Borsellino, Valeria & Paolini, Giulio & Severini, Simone, 2019. "Economic performance and risk of farming systems specialized in perennial crops: An analysis of Italian hazelnut production," Agricultural Systems, Elsevier, vol. 176(C).
    3. Xiaoxiao Li & Bo Wang & Lingyan Sun & Honghui Zhu & Ning Lv & Jiaqi Zhang, 2023. "The Transmission Effect Test of China’s Rotation Mechanism on the Cotton Reserve Market," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    4. Daniele, Bertolozzi-Caredio & Barbara, Soriano & Isabel, Bardají & Alberto, Garrido, 2021. "Economic risk assessment of the quality labels and productive efficiency strategies in Spanish extensive sheep farms," Agricultural Systems, Elsevier, vol. 191(C).
    5. Thomas Nordblom & Saliya Gurusinghe & Andrew Erbacher & Leslie A. Weston, 2023. "Opportunities and Challenges for Cover Cropping in Sustainable Agriculture Systems in Southern Australia," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
    6. Carlotta Penone & Elisa Giampietri & Samuele Trestini, 2021. "Hedging Effectiveness of Commodity Futures Contracts to Minimize Price Risk: Empirical Evidence from the Italian Field Crop Sector," Risks, MDPI, vol. 9(12), pages 1-14, December.

    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. Luo, Qunying & Bange, Michael & Braunack, Michael & Johnston, David, 2016. "Effectiveness of agronomic practices in dealing with climate change impacts in the Australian cotton industry — A simulation study," Agricultural Systems, Elsevier, vol. 147(C), pages 1-9.
    2. Desheng Wang & Chengkun Wang & Lichao Xu & Tiecheng Bai & Guozheng Yang, 2022. "Simulating Growth and Evaluating the Regional Adaptability of Cotton Fields with Non-Film Mulching in Xinjiang," Agriculture, MDPI, vol. 12(7), pages 1-20, June.
    3. Chapman, D.F. & Kenny, S.N. & Beca, D. & Johnson, I.R., 2008. "Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance," Agricultural Systems, Elsevier, vol. 97(3), pages 108-125, June.
    4. Nasca, J.A. & Feldkamp, C.R. & Arroquy, J.I. & Colombatto, D., 2015. "Efficiency and stability in subtropical beef cattle grazing systems in the northwest of Argentina," Agricultural Systems, Elsevier, vol. 133(C), pages 85-96.
    5. Amouzou, Kokou Adambounou & Naab, Jesse B. & Lamers, John P.A. & Borgemeister, Christian & Becker, Mathias & Vlek, Paul L.G., 2018. "CROPGRO-Cotton model for determining climate change impacts on yield, water- and N- use efficiencies of cotton in the Dry Savanna of West Africa," Agricultural Systems, Elsevier, vol. 165(C), pages 85-96.
    6. Waweru, Caroline Waithira & Nyikal, Rose & Busienei, John R, 2017. "An Analysis Of Risk Attitudes And Risk Management Strategies Among Dairy Farmers In Murang’A County, Kenya," Dissertations and Theses 271063, University of Nairobi, Department of Agricultural Economics.
    7. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, Gade & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Don & Singh, Kamalesh K. & Roth, Christian H., 2017. "Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate," Agricultural Systems, Elsevier, vol. 150(C), pages 54-66.
    8. Darouich, Hanaa & Gonçalves, José M. & Muga, André & Pereira, Luis S., 2012. "Water saving vs. farm economics in cotton surface irrigation: An application of multicriteria analysis," Agricultural Water Management, Elsevier, vol. 115(C), pages 223-231.
    9. Purnamasari, Ririn S. & Cacho, Oscar J. & Simmons, Phil, 1999. "Management Strategies For Indonesian Small-Holder Rubber Production In South Sumatra: A Bioeconomic Analysis," Working Papers 12936, University of New England, School of Economics.
    10. Behrendt, Karl & Cacho, Oscar & Scott, James M. & Jones, Randall, 2016. "Using seasonal stochastic dynamic programming to identify optimal management decisions that achieve maximum economic sustainable yields from grasslands under climate risk," Agricultural Systems, Elsevier, vol. 145(C), pages 13-23.
    11. Tóth, M. & Lančarič, D. & Piterková, A. & Savov, R., 2014. "Systematic Risk in Agriculture: A Case of Slovakia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(4), pages 1-9, December.
    12. Waithira, Waweru Caroline, 2017. "An Analysis Of Risk Attitudes And Risk Management Strategies Among Dairy Farmers In Murang’A County, Kenya," Research Theses 276428, Collaborative Masters Program in Agricultural and Applied Economics.
    13. Hearn, A. B. & Bange, M. P., 2002. "SIRATAC and CottonLOGIC: persevering with DSSs in the Australian cotton industry," Agricultural Systems, Elsevier, vol. 74(1), pages 27-56, October.
    14. Gicheha, M.G. & Edwards, G.R. & Bell, S.T. & Burtt, E.S. & Bywater, A.C., 2014. "Embedded risk management in dryland sheep systems II. Risk analysis," Agricultural Systems, Elsevier, vol. 124(C), pages 1-11.
    15. Chen, Xiaoping & Qi, Zhiming & Gui, Dongwei & Gu, Zhe & Ma, Liwang & Zeng, Fanjiang & Li, Lanhai, 2019. "Simulating impacts of climate change on cotton yield and water requirement using RZWQM2," Agricultural Water Management, Elsevier, vol. 222(C), pages 231-241.
    16. Reza Zamani & Ali Mohammad Akhond Ali & Abbas Roozbahani, 2020. "Evaluation of Adaptation Scenarios for Climate Change Impacts on Agricultural Water Allocation Using Fuzzy MCDM Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1093-1110, February.
    17. Allyson Williams & Neil White & Shahbaz Mushtaq & Geoff Cockfield & Brendan Power & Louis Kouadio, 2015. "Quantifying the response of cotton production in eastern Australia to climate change," Climatic Change, Springer, vol. 129(1), pages 183-196, March.
    18. Filippi, Patrick & Whelan, Brett M. & Vervoort, R. Willem & Bishop, Thomas F.A., 2020. "Mid-season empirical cotton yield forecasts at fine resolutions using large yield mapping datasets and diverse spatial covariates," Agricultural Systems, Elsevier, vol. 184(C).
    19. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, G. & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Donald S. & Laing, Alison & Kokic, Philip & Singh, Kamalesh K. & Roth, Christi, 2017. "Smallholder farmers managing climate risk in India: 2. Is it climate-smart?," Agricultural Systems, Elsevier, vol. 151(C), pages 61-72.
    20. Hanan, J. S. & Hearn, A. B., 2003. "Linking physiological and architectural models of cotton," Agricultural Systems, Elsevier, vol. 75(1), pages 47-77, January.

    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:eee:agisys:v:150:y:2017:i:c:p:46-53. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.