IDEAS home Printed from https://ideas.repec.org/a/bla/eurcho/v9y2010i2p40-46.html
   My bibliography  Save this article

External Transaction Costs and Large‐scale Farming in Moscow Oblast Coûts de transaction externes et agriculture à grande échelle dans la région de Moscou Externe Transaktionskosten und landwirtschaftliche Großbetriebe in der Oblast Moskau

Author

Listed:
  • Nikolai Svetlov

Abstract

External Transaction Costs and Large‐scale Farming in Moscow Oblast The article addresses the reasons for the domination of large‐scale corporate farms in the Moscow oblast of Russia and concludes that high external transaction costs are likely to be an important determining factor. Over the nine year period studied, larger farms are shown to achieve higher performance. Increasing returns to scale, however, were not significant in explaining the superior performance of the larger farms. It is hypothesised that high external transaction costs due to lack of transparency in the milk market, typical of underdeveloped markets, give the larger farms a competitive advantage. Their search costs per unit of output are relatively low and they are able therefore to achieve higher farm‐gate prices for milk as a result. The results confirm the dependence of the farm‐gate milk price on farm size due to the presence of high transaction costs in the market of milk, the major output of the studied farms. The high performance farms were able to grow during the study period whereas the lower performing farms had limited growth capacity. A more competitive and transparent market environment along with improved infrastructure could lower transaction costs and entry barriers and provide opportunities for smaller scale corporate farms to compete more effectively. Cet article essaie d’expliquer les raisons de la domination des grandes exploitations agricoles constituées en société de la région de Moscou et conclut que l’ampleur des coûts de transaction externes est probablement un facteur explicatif important. Au cours de la période étudiée qui couvre neuf années, les exploitations les plus grandes ont enregistré les performances les plus élevées. Les rendements d’échelle croissants n’ont cependant pas expliqué de manière significative la meilleure performance de ces exploitations. Nous faisons l’hypothèse que les forts coûts de transaction externes liés au manque de transparence sur le marché laitier, typique des marchés incomplètement développés, donnent à ces plus grandes exploitations un avantage compétitif. Leur coût de recherche par unité de produit est relativement bas et elles sont donc capables d’obtenir des prix au niveau de la ferme plus élevés pour le lait. Les résultats confirment la dépendance des prix à la ferme envers la taille de l’exploitation du fait de la présence de coûts de transaction élevés sur le marché laitier, le lait étant le principal produit des exploitations étudiées. Les exploitations très performantes ont pu croître au cours de la période examinée tandis que les capacités de développement des exploitations les moins performantes étaient limitées. Un environnement de marché plus concurrentiel et transparent ainsi que de meilleures infrastructures pourraient réduire les coûts de transaction et les barrières à l’entrée dans le secteur, et fournir des opportunités aux exploitations constituées en société de plus petite taille d’être concurrentielles de manière plus efficace. Dieser Beitrag untersucht, weshalb es in der russischen Oblast Moskau hauptsächlich große Corporate Farms gibt, und kommt zu dem Schluss, dass dafür wahrscheinlich hohe externe Transaktionskosten ausschlaggebend sind. Über den neunjährigen Untersuchungszeitraum waren größere Betriebe erfolgreicher. Steigende Skalenerträge waren jedoch bei der Begründung für den höheren Erfolg der größeren Betriebe nicht maßgeblich. Es wird angenommen, dass hohe externe Transaktionskosten aufgrund von fehlender Transparenz auf dem Milchmarkt – typisch für unterentwickelte Märkte – den größeren Betrieben einen Wettbewerbsvorteil verschaffen. Ihre Suchkosten pro Produkteinheit sind relativ gering, daher sind sie in der Lage, höhere Preise für Milch ab Hof zu erzielen. Die Ergebnisse bestätigen die Abhängigkeit des Preises für Milch ab Hof von der Betriebsgröße, weil es auf dem Markt für Milch (dem wichtigsten Produkt der untersuchten Betriebe) hohe Transaktionskosten gibt. Den erfolgreichen Betrieben gelang es, über den Untersuchungszeitraum zu wachsen, während die leistungsschwächeren Betriebe nur eingeschränkt wachstumsfähig waren. Ein wettbewerbsfähigeres und transparenteres Marktumfeld in Kombination mit einer besseren Infrastruktur könnte die Transaktionskosten und Marktzugangsbeschränkungen senken sowie kleineren Corporate Farms Möglichkeiten eröffnen, um effektiver am Wettbewerb teilzunehmen.

Suggested Citation

  • Nikolai Svetlov, 2010. "External Transaction Costs and Large‐scale Farming in Moscow Oblast Coûts de transaction externes et agriculture à grande échelle dans la région de Moscou Externe Transaktionskosten und landwirtschaft," EuroChoices, The Agricultural Economics Society, vol. 9(2), pages 40-46, August.
  • Handle: RePEc:bla:eurcho:v:9:y:2010:i:2:p:40-46
    DOI: 10.1111/j.1746-692X.2010.00167.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1746-692X.2010.00167.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1746-692X.2010.00167.x?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Nemoto, Jiro & Goto, Mika, 1999. "Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies," Economics Letters, Elsevier, vol. 64(1), pages 51-56, July.
    3. Vasilii Uzun, 2005. "Large and Small Business in Russian Agriculture: Adaptation to Market," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 47(1), pages 85-100, March.
    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. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    2. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.
    3. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    4. Sahoo, Biresh K & Khoveyni, Mohammad & Eslami, Robabeh & Chaudhury, Pradipta, 2016. "Returns to scale and most productive scale size in DEA with negative data," European Journal of Operational Research, Elsevier, vol. 255(2), pages 545-558.
    5. Sebastian Cuadros & Yeny E. Rodríguez & Javier Contreras, 2020. "Dynamic Data Envelopment Analysis Model Involving Undesirable Outputs in the Electricity Power Generation Sector: The Case of Latin America and the Caribbean Countries," Energies, MDPI, vol. 13(24), pages 1-20, December.
    6. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    7. Frederic Ang & Pieter Jan Kerstens, 2023. "Robust nonparametric analysis of dynamic profits, prices and productivity: An application to French meat-processing firms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 771-809.
    8. Tae Hoon Oum & Katsuhiro Yamaguchi & Yuichiro Yoshida, 2011. "Efficiency Measurement Theory and its Application to Airport Benchmarking," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 13, Edward Elgar Publishing.
    9. Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).
    10. Jahanshahloo, G.R. & Soleimani-damaneh, M. & Ghobadi, S., 2015. "Inverse DEA under inter-temporal dependence using multiple-objective programming," European Journal of Operational Research, Elsevier, vol. 240(2), pages 447-456.
    11. Jin-chi Hsieh & Ching-cheng Lu & Ying Li & Yung-ho Chiu & Ya-sue Xu, 2019. "Environmental Assessment of European Union Countries," Energies, MDPI, vol. 12(2), pages 1-18, January.
    12. Hsiao-Yin Chen & Chin-wei Huang & Yung-Ho Chiu, 2017. "An intertemporal efficiency and technology measurement for tourist hotel," Journal of Productivity Analysis, Springer, vol. 48(1), pages 85-96, August.
    13. Hampf, Benjamin, 2017. "Rational inefficiency, adjustment costs and sequential technologies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1095-1108.
    14. Chiu, Yung-ho & Huang, Kuei-Ying & Chang, Tzu-Han & Lin, Tai-Yu, 2021. "Efficiency assessment of coal mine use and land restoration: Considering climate change and income differences," Resources Policy, Elsevier, vol. 73(C).
    15. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    16. Camanho, Ana Santos & Silva, Maria Conceicao & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2024. "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 315(1), pages 1-18.
    17. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
    18. Wang, Mei-Hui & Huang, Tai-Hsin, 2007. "A study on the persistence of Farrell's efficiency measure under a dynamic framework," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1302-1316, August.
    19. Chen, Yah-Wei & Huang, Tai-Hsin, 2009. "The LeChatelier principle in a DEA model," European Journal of Operational Research, Elsevier, vol. 197(1), pages 371-373, August.
    20. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Research on New and Traditional Energy Sources in OECD Countries," IJERPH, MDPI, vol. 16(7), pages 1-21, March.

    More about this item

    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:bla:eurcho:v:9:y:2010:i:2:p:40-46. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.