IDEAS home Printed from https://ideas.repec.org/a/ags/aareaj/233837.html
   My bibliography  Save this article

Dairy productivity and climatic conditions: econometric evidence from South-eastern united States

Author

Listed:
  • Mukherjee, Deep
  • Bravo-Ureta, Boris E.
  • De Vries, Albert

Abstract

Climate change and food security have become critical issues in the agricultural policy agenda. Although global warming is expected to increase both the frequency and severity of heat stress on dairy cattle, there are very few economic studies focusing on this issue. This paper contributes to the literature by integrating the frontier methodology, commonly used in applied production economics, with heat stress indexes used by animal scientists but largely ignored by economists. Our econometric models are useful to quantify gross benefits expected from adaptation to climatic conditions represented by the Temperature Humidity Index (THI) and alternatively by the Equivalent Temperature Index (ETI). Stochastic production frontier analysis is used to measure technical efficiency for an unbalanced panel of 103 dairy farms located in Florida and Georgia. Five alternative model specifications are evaluated. The results reveal that both THI and ETI have a significant nonlinear negative effect on milk production. The climatic indexes when incorporated in the frontier specification absorb some of the output shortfall that otherwise would be attributable to inefficiency. The results indicate that using fans combined with sprinklers is an effective adaptation to offset output losses stemming from heat stress conditions.

Suggested Citation

  • Mukherjee, Deep & Bravo-Ureta, Boris E. & De Vries, Albert, 2013. "Dairy productivity and climatic conditions: econometric evidence from South-eastern united States," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(1), pages 1-18.
    • Handle: RePEc:ags:aareaj:233837
    DOI: 10.22004/ag.econ.233837
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/233837/files/ajar603.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.233837?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    2. Darwin, Roy, 2001. "Climate Change and Food Security," Agricultural Information Bulletins 33645, United States Department of Agriculture, Economic Research Service.
    3. Barrios, Salvador & Ouattara, Bazoumana & Strobl, Eric, 2008. "The impact of climatic change on agricultural production: Is it different for Africa?," Food Policy, Elsevier, vol. 33(4), pages 287-298, August.
    4. Sherlund, Shane M. & Barrett, Christopher B. & Adesina, Akinwumi A., 2002. "Smallholder technical efficiency controlling for environmental production conditions," Journal of Development Economics, Elsevier, vol. 69(1), pages 85-101, October.
    5. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    6. Boris Bravo-Ureta & William Greene & Daniel Solís, 2012. "Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project," Empirical Economics, Springer, vol. 43(1), pages 55-72, August.
    7. Nazmi Demir & Syed F. Mahmud, 2002. "Agro-Climatic Conditions and Regional Technical Inefficiencies in Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(3), pages 269-280, November.
    8. Daniel A. Summer & Christopher A. Wolf, 2002. "Diversification, Vertical Integration, and the Regional Pattern of Dairy Farm Size," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(2), pages 442-457.
    9. Bernhard Brümmer & Jens‐Peter Loy, 2000. "The Technical Efficiency Impact of Farm Credit Programmes: A Case Study of Northern Germany," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(3), pages 405-418, September.
    10. repec:zwi:journl:v:43:y:2012:i:1:p:55-72 is not listed on IDEAS
    11. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    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. Bell, Kendon, 2017. "Empirical estimation of the impact of weather on dairy production," 2017 Conference, October 19-20, Rotorua, New Zealand 269521, New Zealand Agricultural and Resource Economics Society.
    2. Lachaud, Michee Arnold & Bravo-Ureta, Boris E. & Ludena, Carlos E., 2015. "Agricultural productivity growth in Latin America and the Caribbean and other world regions: An analysis of climatic effects, convergence and catch-up," Working Papers 40, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    3. Jose A. Perez‐Mendez & David Roibas & Alan Wall, 2019. "The influence of weather conditions on dairy production," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 165-175, March.
    4. Kehinde Oluseyi Olagunju & Erin Sherry & Aurelia Samuel & Paul Caskie, 2022. "Unpacking Total Factor Productivity on Dairy Farms Using Empirical Evidence," Agriculture, MDPI, vol. 12(2), pages 1-13, February.
    5. Njuki, Eric, 2022. "Sources, Trends, and Drivers of U.S. Dairy Productivity and Efficiency," Economic Research Report 320329, United States Department of Agriculture, Economic Research Service.
    6. Qi, Lingqiao & Bravo-Ureta, Boris E. & Cabrera, Victor E., 2014. "From Cold To Hot: A Preliminary Analysis Of Climatic Effects On The Productivity Of Wisconsin Dairy Farms," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 172411, Agricultural and Applied Economics Association.
    7. Lisandro Roco & Boris Bravo-Ureta & Alejandra Engler & Roberto Jara-Rojas, 2017. "The Impact of Climatic Change Adaptation on Agricultural Productivity in Central Chile: A Stochastic Production Frontier Approach," Sustainability, MDPI, vol. 9(9), pages 1-16, September.
    8. Hutchins, Jared P. & Gong, Yating & Du, Xiaodong, 2021. "The Role of Animal Breeding in Productivity Growth: Evidence from Wisconsin Dairy Farms," 2021 Annual Meeting, August 1-3, Austin, Texas 313882, Agricultural and Applied Economics Association.
    9. Njuki, Eric & Bravo-Ureta, Boris, 2014. "A Bayesian Approach to Analyzing the Economic Costs of Environmental Regulation in U.S. Dairy Farming," Working Papers 33, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    10. Michee Arnold Lachaud & Boris E. Bravo-Ureta & Carlos E. Ludena, 2017. "Agricultural productivity in Latin America and the Caribbean in the presence of unobserved heterogeneity and climatic effects," Climatic Change, Springer, vol. 143(3), pages 445-460, August.
    11. Hutchins, Jared P. & Nolan, Derek & Skidmore, Marin, 2023. "Extreme Heat and Livestock Production: Costs and Adaptation in the US Dairy Sector," 2023 Annual Meeting, July 23-25, Washington D.C. 335579, Agricultural and Applied Economics Association.
    12. Key, Nigel D. & Sneeringer, Stacy & Marquardt, David, 2014. "Climate Change, Heat Stress, and U.S. Dairy Production," Economic Research Report 186731, United States Department of Agriculture, Economic Research Service.
    13. Roibás, David & Wall, Alan & Pérez, José A., 2014. "The influence of meteorological conditions on dairy production," Efficiency Series Papers 2014/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. Zoltán Bakucs & Imre Fertő & Enikő Vígh, 2020. "Crop Productivity and Climatic Conditions: Evidence from Hungary," Agriculture, MDPI, vol. 10(9), pages 1-12, September.
    15. Gabriela Pérez Quesada, 2017. "Technical efficiency of dairy farms in Uruguay: a stochastic production frontier analysis," Documentos de Trabajo (working papers) 0517, Department of Economics - dECON.
    16. Eric Njuki & Boris E Bravo-Ureta & Víctor E Cabrera, 2020. "Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1276-1301.
    17. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    18. Lachaud, Michee & Bravo-Ureta, Boris & Ludena, Carlos, 2015. "Agricultural Productivity Growth in Latin America and the Caribbean (LAC): An analysis of Climatic Effects, Convergence, and Catch-up," 2015 Conference, August 9-14, 2015, Milan, Italy 211721, International Association of Agricultural Economists.

    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. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    2. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    3. Francisca Ndinda Muteti & Irine Akite & Taddias Prince Mpofu & Basil Mugonola, 2024. "Determinants of technical efficiency among smallholder upland rice farmers in northern Uganda—a Cobb–Douglas stochastic frontier approach," SN Business & Economics, Springer, vol. 4(1), pages 1-20, January.
    4. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    5. Zhu, Xueqin & Milán Demeter, Róbert, 2012. "Technical efficiency and productivity differentials of dairy farms in three EU countries: the role of CAP subsidies," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-27.
    6. Jose A. Perez‐Mendez & David Roibas & Alan Wall, 2019. "The influence of weather conditions on dairy production," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 165-175, March.
    7. Roibás, David & Wall, Alan & Pérez, José A., 2014. "The influence of meteorological conditions on dairy production," Efficiency Series Papers 2014/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    9. Nan Jiang & Basil Sharp, 2015. "Technical efficiency and technological gap of New Zealand dairy farms: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 44(1), pages 39-49, August.
    10. Luis A. De los Santos‐Montero & Boris E. Bravo‐Ureta, 2017. "Productivity effects and natural resource management: econometric evidence from POSAF‐II in Nicaragua," Natural Resources Forum, Blackwell Publishing, vol. 41(4), pages 220-233, November.
    11. Denisard Alves & Paula Pereda, 2019. "Climate and Weather Impacts on Agriculture: The Case of Brazil," Working Papers, Department of Economics 2019_23, University of São Paulo (FEA-USP).
    12. Muratbek Baglan & Gershom Endelani Mwalupaso & Xue Zhou & Xianhui Geng, 2020. "Towards Cleaner Production: Certified Seed Adoption and Its Effect on Technical Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    13. Ali M. Oumer & Michael Burton & Atakelty Hailu & Amin Mugera, 2020. "Sustainable agricultural intensification practices and cost efficiency in smallholder maize farms: Evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 841-856, November.
    14. Asante, Bright O. & Temoso, Omphile & Addai, Kwabena N. & Villano, Renato A., 2019. "Evaluating productivity gaps in maize production across different agroecological zones in Ghana," Agricultural Systems, Elsevier, vol. 176(C).
    15. Gabriel A. Sampaio Morais & Felipe F. Silva & Carlos Otávio de Freitas & Marcelo José Braga, 2021. "Irrigation, Technical Efficiency, and Farm Size: The Case of Brazil," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    16. Amponsah, Kwabena & Paliwal, Neha, 2015. "Technology And Managerial Gaps In The Adoption Of Improved Groundnut Varieties In Malawi And Uganda," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206197, Agricultural and Applied Economics Association.
    17. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    18. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    19. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    20. Rosemarie Bégin & Lota D. Tamini & Maurice Doyon, 2014. "L'effet du travail hors-ferme sur l'efficacité technique des fermes laitières québécoises: un modèle intégrant les biais de sélection sur les observables et inobservables," Cahiers de recherche CREATE 2014-9, CREATE.

    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:aareaj:233837. 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/aaresea.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.