IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p546-d1315363.html
   My bibliography  Save this article

Analyzing Technical Efficiency in Cereal Production across Selected European Union Countries

Author

Listed:
  • Emad S. Aljohani

    (Department of Agricultural Economics, King Saud University, Riyadh 11451, Saudi Arabia)

  • Benaissa Chidmi

    (Department of Agricultural & Applied Economics, Texas Tech University, Lubbock, TX 79424, USA)

Abstract

This paper investigates the technical efficiency of cereal production in European Union (EU) countries from 2008 to 2018. The primary purpose is to estimate technical efficiency scores by country and crop and explain their variation using macroeconomic and agricultural policy variables using the stochastic frontier production function. The results indicate that the United Kingdom has the highest efficiency in barley production, while Finland has the lowest. France exhibits the highest efficiency in common wheat, and Romania has the lowest efficiency in grain maize production. This study also explores the impact of various factors on technical efficiency, finding, for example, the positive effects of female wages and foreign direct investment on barley production efficiency and the negative effects of forest area and subsidies. Similar analyses were conducted for wheat and maize production. The results indicate a variation in technical efficiency scores across crops and countries. This diversity in performance not only reflects the inherent complexities within each crop but also emphasizes the crucial role played by macroeconomic variables and agricultural policies in shaping efficiency outcomes on a country-wide scale.

Suggested Citation

  • Emad S. Aljohani & Benaissa Chidmi, 2024. "Analyzing Technical Efficiency in Cereal Production across Selected European Union Countries," Sustainability, MDPI, vol. 16(2), pages 1-27, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:546-:d:1315363
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/546/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/2/546/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2009. "Farm technology and technical efficiency: Evidence from four regions in China," China Economic Review, Elsevier, vol. 20(2), pages 153-161, June.
    2. Anna NOWAK & Tomasz KIJEK & Katarzyna DOMAŃSKA, 2015. "Technical efficiency and its determinants in the European Union," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(6), pages 275-283.
    3. Gadanakis, Yiorgos & Bennett, Richard & Park, Julian & Areal, Francisco Jose, 2015. "Improving productivity and water use efficiency: A case study of farms in England," Agricultural Water Management, Elsevier, vol. 160(C), pages 22-32.
    4. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2005. "Technical and scale efficiency of crop and livestock farms in Poland : does specialization matte r?," Post-Print hal-02392195, HAL.
    5. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, April.
    6. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    7. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    8. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2001. "Economic Efficiency in Organic Farming: Evidence from Cotton Farms in Viotia, Greece," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(1), pages 35-48, April.
    9. Gérard Biau & Erwan Scornet, 2016. "Rejoinder on: A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 264-268, June.
    10. Alfons Lansink & Elvira Silva & Spiro Stefanou, 2001. "Inter-Firm and Intra-Firm Efficiency Measures," Journal of Productivity Analysis, Springer, vol. 15(3), pages 185-199, May.
    11. Dimara, Efthalia & Pantzios, Christos J. & Skuras, Dimitris & Tsekouras, Kostas, 2005. "The impacts of regulated notions of quality on farm efficiency: A DEA application," European Journal of Operational Research, Elsevier, vol. 161(2), pages 416-431, March.
    12. Gérard Biau & Erwan Scornet, 2016. "A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 197-227, June.
    13. Bedassa Tadesse & S. Krishnamoorthy, 1997. "Technical efficiency in paddy farms of Tamil Nadu: an analysis based on farm size and ecological zone," Agricultural Economics, International Association of Agricultural Economists, vol. 16(3), pages 185-192, August.
    14. Xueqin Zhu & Alfons Oude Lansink, 2010. "Impact of CAP Subsidies on Technical Efficiency of Crop Farms in Germany, the Netherlands and Sweden," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(3), pages 545-564, September.
    15. Kaur, Manjeet & Mahal, Amrit Kaur & Sekhon, M.K. & Kingra, H.S., 2010. "Technical Efficiency of Wheat Production in Punjab: A Regional Analysis," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 23(1), January.
    16. Teng-Fei Wang & Kevin Cullinane & Dong-Wook Song, 2005. "The Economic Theory of Container Port Production," Palgrave Macmillan Books, in: Container Port Production and Economic Efficiency, chapter 2, pages 13-32, Palgrave Macmillan.
    17. 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.
    18. 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.
    19. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, November.
    20. Teng-Fei Wang & Kevin Cullinane & Dong-Wook Song, 2005. "Container Port Production and Economic Efficiency," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-50597-1.
    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. Radha R. Ashrit, 2023. "Estimation of technical efficiency of Indian farms for major crops during 2013–2014 and 2017–2018: a stochastic Frontier production approach," SN Business & Economics, Springer, vol. 3(2), pages 1-32, February.
    2. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    3. Salustiano, Silvia Ferreira Marques & Barbosa, Natália & Moreira, Tito Belchior Silva, 2020. "Do subsidies drive technical efficiency? The case of portuguese firms in the agribusiness sector," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 58(3), January.
    4. Jun Ho Seok & Hanpil Moon & GwanSeon Kim & Michael R. Reed, 2018. "Is Aging the Important Factor for Sustainable Agricultural Development in Korea? Evidence from the Relationship between Aging and Farm Technical Efficiency," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    5. 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).
    6. Phu Nguyen-Van & Nguyen To-The, 2016. "Technical efficiency and agricultural policy: evidence from the tea production in Vietnam," Review of Agricultural, Food and Environmental Studies, Springer, vol. 97(3), pages 173-184, November.
    7. Phatima MAMARDASHVILI & Dierk SCHMID, 2013. "Performance of Swiss dairy farms under provision of public goods," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(7), pages 300-314.
    8. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    9. Galluzzo Nicola, 2020. "A Technical Efficiency Analysis of Financial Subsidies Allocated by the Cap in Romanian Farms Using Stochastic Frontier Analysis," European Countryside, Sciendo, vol. 12(4), pages 494-505, December.
    10. Wenjun Liu & Shoji Nishijima, 2013. "Productivity and openness: firm level evidence in Brazilian manufacturing industries," Economic Change and Restructuring, Springer, vol. 46(4), pages 363-384, November.
    11. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & de Faria, Rosane Nunes, 2020. "Economic and environmental efficiencies of greenhouse gases’ emissions under institutional influence," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    12. Roengchai Tansuchat, 2023. "A Copula-Based Meta-Stochastic Frontier Analysis for Comparing Traditional and HDPE Geomembranes Technology in Sea Salt Farming among Farmers in Phetchaburi, Thailand," Agriculture, MDPI, vol. 13(4), pages 1-23, March.
    13. 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.
    14. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2021. "Institutions and performance of regulated firms: Evidence from electricity distribution in India," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 68-82.
    15. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    16. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    17. Seok, Jun Ho & Reed, Michael R. & Moon, Han-Pil, 2017. "Population Aging and Growth of Developed Countries’ Agricultural Sector: Focusing on the Inverse Relationship between Aging and Cognitive Abilities," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258573, Agricultural and Applied Economics Association.
    18. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.
    19. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    20. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.

    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:gam:jsusta:v:16:y:2024:i:2:p:546-:d:1315363. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.