IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021ispecial1p1010-1033.html
   My bibliography  Save this article

Changes in the Milk Market in the United States on the Background of the European Union and the World

Author

Listed:
  • Piotr Borawski
  • Beata Kalinowska
  • Bartosz Mickiewicz
  • Andrzej Parzonko
  • Bogdan Klepacki
  • James Willam Dunn

Abstract

Purpose: The aim of the article was to learn and evaluate the development of the U.S. milk market. Design/Approach/Methodology: The study analyzed the number of dairy cows, milk yield of cows, milk production, import, export and consumption of milk and milk products in the USA. In the analysis of the research results, tabular, graphic and descriptive methods were used. Findings: United States (U.S.) dairy farms used to be most efficient in the world. The average herd of dairy cow is 115 head in the United States of America (USA) and 22 in the European Union (EU). The vast majority of cow’s milk production (85%) comes from dairy herds having more than 100 head. The analysis shows that the milk yield of cows and milk production in the USA increased, with a slight increase in the number of cows. Practical Implications: During the analyzed period, the USA increased the consumption of dairy products, while the consumption of liquid milk has decreased. Originality/Value: In 2009-2018, the trade balance was positive Data Envelopment Analysis (DEA) method – CCR, BCC and NIRS model focused on input-oriented minimization were used.

Suggested Citation

  • Piotr Borawski & Beata Kalinowska & Bartosz Mickiewicz & Andrzej Parzonko & Bogdan Klepacki & James Willam Dunn, 2021. "Changes in the Milk Market in the United States on the Background of the European Union and the World," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 1010-1033.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special1:p:1010-1033
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2085/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mayen Carlos D & Balagtas Joseph V. & Alexander Corinne E., 2009. "Vertical Economies of Scope in Dairy Farming," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 7(1), pages 1-17, October.
    2. Fraser, Iain & Graham, Mary, 2005. "Efficiency Measurement of Australian Dairy Farms: National and Regional Performance," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 13.
    3. Ramírez, C.A. & Patel, M. & Blok, K., 2006. "From fluid milk to milk powder: Energy use and energy efficiency in the European dairy industry," Energy, Elsevier, vol. 31(12), pages 1984-2004.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Špička, Jindřich, 2015. "The Efficiency Improvement of Central European Corporate Milk Processors in 2008 - 2013," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-14, December.
    6. Stewart, Hayden & Don, P. Blayney, 2011. "Retail Dairy Prices Fluctuate with the Farm Value of Milk," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(2), pages 201-217, September.
    7. Śmigla, Marta, 2014. "Determinanty produkcji mleka w regionach Unii Europejskiej o bardzo dużych gospodarstwach mlecznych po 2004 roku," Journal of Agribusiness and Rural Development, University of Life Sciences, Poznan, Poland, vol. 31(1).
    8. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    9. Basset-Mens, Claudine & Ledgard, Stewart & Boyes, Mark, 2009. "Eco-efficiency of intensification scenarios for milk production in New Zealand," Ecological Economics, Elsevier, vol. 68(6), pages 1615-1625, April.
    10. Qingbin Wang & Robert Parsons & Guangxuan Zhang, 2010. "China's dairy markets: trends, disparities, and implications for trade," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 2(3), pages 356-371, September.
    11. Olga Murova & Benaissa Chidmi, 2013. "Technical efficiency of US dairy farms and federal government programs," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 839-847, March.
    12. Walenty Poczta & Joanna Średzińska & Maciej Chenczke, 2020. "Economic Situation of Dairy Farms in Identified Clusters of European Union Countries," Agriculture, MDPI, vol. 10(4), pages 1-22, March.
    13. Xu, Tengfang & Flapper, Joris, 2009. "Energy use and implications for efficiency strategies in global fluid-milk processing industry," Energy Policy, Elsevier, vol. 37(12), pages 5334-5341, December.
    14. Sadowski, Arkadiusz & Michalczak, Dagmara, 2015. "Przemiany gospodarstw specjalizujących się w produkcji mleka w wybranych krajach Unii Europejskiej," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 15(30), pages 1-10, September.
    15. Magdalena Rybaczewska-Błażejowska & Wacław Gierulski, 2018. "Eco-Efficiency Evaluation of Agricultural Production in the EU-28," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    16. Liang, Liang & Wu, Jie & Cook, Wade D. & Zhu, Joe, 2008. "Alternative secondary goals in DEA cross-efficiency evaluation," International Journal of Production Economics, Elsevier, vol. 113(2), pages 1025-1030, June.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    18. Parzonko, Andrzej & Hornowski, Andrzej & Kotyza, Pavel, 2019. "Energy Costs In Dairy Farms – Assessment In The Years 2005-2016," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2019(2).
    19. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    20. Śmigla, Marta, 2014. "Determinanty produkcji mleka w regionach Unii Europejskiej z przewagą dużych gospodarstw mlecznych po 2004 roku," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2014(4).
    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. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    2. Mehdi Toloo & Mona Barat & Atefeh Masoumzadeh, 2015. "Selective measures in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 623-642, March.
    3. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 91-122, March.
    4. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    5. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    6. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    7. Peter Fernandes Wanke & Rebecca de Mattos, 2014. "Capacity Issues and Efficiency Drivers in Brazilian Bulk Terminals," Brazilian Business Review, Fucape Business School, vol. 11(5), pages 72-98, October.
    8. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    9. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    10. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    11. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
    12. Subhash C. Ray & Lei Chen, 2015. "Data Envelopment Analysis for Performance Evaluation: A Child’s Guide," Springer Books, in: Subhash C. Ray & Subal C. Kumbhakar & Pami Dua (ed.), Benchmarking for Performance Evaluation, edition 127, chapter 0, pages 75-116, Springer.
    13. Mohsen Afsharian & Anna Kryvko & Peter Reichling, 2011. "Efficiency and Its Impact on the Performance of European Commercial Banks," FEMM Working Papers 110018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    14. Miningou, Élisé Wendlassida & Vierstraete, Valérie, 2013. "Households' living situation and the efficient provision of primary education in Burkina Faso," Economic Modelling, Elsevier, vol. 35(C), pages 910-917.
    15. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    16. Branda, Martin, 2013. "Diversification-consistent data envelopment analysis with general deviation measures," European Journal of Operational Research, Elsevier, vol. 226(3), pages 626-635.
    17. Korhonen, Pekka J. & Dehnokhalaji, Akram & Nasrabadi, Nasim, 2018. "A lexicographic radial projection onto the efficient frontier in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1005-1012.
    18. Rize Jing & Tingting Xu & Xiaozhen Lai & Elham Mahmoudi & Hai Fang, 2019. "Technical Efficiency of Public and Private Hospitals in Beijing, China: A Comparative Study," IJERPH, MDPI, vol. 17(1), pages 1-18, December.
    19. Chin‐wei Huang & Hsiao‐Yin Chen, 2023. "Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 1904-1919, June.
    20. W. Cooper & C. Lovell, 2011. "History lessons," Journal of Productivity Analysis, Springer, vol. 36(2), pages 193-200, October.

    More about this item

    Keywords

    Milk production; dairy products trade; milk consumption; the USA.;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; 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:ers:journl:v:xxiv:y:2021:i:special1:p:1010-1033. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.