IDEAS home Printed from https://ideas.repec.org/a/ags/ijamad/147597.html
   My bibliography  Save this article

The Effect of Socio-Personal Factors on Economic and Managerial Variables in Shahroud Commercial Dairy Farms

Author

Listed:
  • Kashfi, Hamed
  • Yazdani, Ahmad Reza
  • Bidabadi, Farhad Shirani
  • Latifi, Mehrdad

Abstract

The purpose of this research was to study the effects of four personal and social variables including the age, literacy, job experience and size of herd on different variables such as implementing of managerial strategies in transition period, relevant costs of these strategies, average production per head and gross income of milk sale per head. For this purpose all required information were collected through questionnaire distribution among the owners of commercial dairy farms of Shahroud district. This questionnaire was included three parts. Relevant information about personal and social indices was inserted in first part. Second part included of relevant information about performance and non-performance of considered managerial strategies in transition period and third part was about relevant information about production and economic records. Finally all information about 50 herds was obtained and compared as well. Data analysis was through applying Multiple Linear Regression (MLR) method. Also it was possible to specify any relation among independent and dependent variables through calculation of Pearson Correlation Coefficient. Finally it was revealed that social and personal factors have a significant effect on the implementation of management strategies and other independent factors.

Suggested Citation

  • Kashfi, Hamed & Yazdani, Ahmad Reza & Bidabadi, Farhad Shirani & Latifi, Mehrdad, 2012. "The Effect of Socio-Personal Factors on Economic and Managerial Variables in Shahroud Commercial Dairy Farms," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 2(2), pages 1-6, June.
    • Handle: RePEc:ags:ijamad:147597
    DOI: 10.22004/ag.econ.147597
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/147597/files/IJAMADJune2012P137.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.147597?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. Gloy, Brent A. & Hyde, Jeffrey & LaDue, Eddy L., 2002. "Dairy Farm Management and Long-Term Farm Financial Performance," Agricultural and Resource Economics Review, Cambridge University Press, vol. 31(2), pages 233-247, October.
    2. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1255-1263.
    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. Lai, John & Olynk Widmar, Nicole J. & Gunderson, Michael A. & Widmar, David A. & Ortega, David L., 2018. "Prioritization of farm success factors by commercial farm managers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    2. Dressler, Jonathan B. & Tauer, Loren W., 2011. "Revealing an Equitable Income Allocation among Dairy Farm Partnerships," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 102116, Agricultural and Applied Economics Association.
    3. Andrea BONFIGLIO, 2006. "Efficiency and Productivity Changes of the Italian Agrifood Cooperatives: a Malmquist Index Analysis," Working Papers 250, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    5. Łukasz Kryszak & Marta Guth & Bazyli Czyżewski, 2021. "Determinants of farm profitability in the EU regions. Does farm size matter?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(3), pages 90-100.
    6. Stefan Bojnec & Laure Latruffe, 2009. "Determinants of technical efficiency of Slovenian farms," Post-Communist Economies, Taylor & Francis Journals, vol. 21(1), pages 117-124.
    7. Laure Latruffe & Sophia Davidova & Kelvin Balcombe, 2008. "Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe," Journal of Productivity Analysis, Springer, vol. 29(2), pages 183-191, April.
    8. Zdeňka Náglová & Tereza Horáková, 2017. "Position of the Bakery Enterprises in the Czech Republic According to Detailed Specification of the Businesses," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1719-1727.
    9. Lukáš Čechura & Heinrich Hockmann, 2017. "Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 702-719, October.
    10. Ruhul Salim & Amzad Hossain, 2006. "Market deregulation, trade liberalization and productive efficiency in Bangladesh agriculture: an empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2567-2580.
    11. Zdeňka Náglová & Marie Šimpachová Pechrová, 2019. "Are Wine Producers With Subsidies More Technically Efficient?," Central European Business Review, Prague University of Economics and Business, vol. 2019(1), pages 1-14.
    12. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land fragmentation, market integration and farm efficiency: empirical evidence from Kosovo," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134968, Agricultural Economics Society.
    13. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    14. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
    15. Jerzy Marzec & Andrzej Pisulewski, 2021. "Measurement of technical efficiency in the case of heterogeneity of technologies used between firms - Based on evidence from Polish crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(4), pages 152-161.
    16. Karolina Pawlak & Luboš Smutka & Pavel Kotyza, 2021. "Agricultural Potential of the EU Countries: How Far Are They from the USA?," Agriculture, MDPI, vol. 11(4), pages 1-21, March.
    17. Hockmann, Heinrich & Pieniadz, Agata, 2007. "Farm Heterogeneity and Efficiency in Polish Agriculture: A Stochastic Frontier Analysis," 104th Seminar, September 5-8, 2007, Budapest, Hungary 7823, European Association of Agricultural Economists.
    18. Wettemann, Patrick Johannes Christopher & Latacz-Lohmann, Uwe, 2017. "An efficiency-based concept to assess potential cost and greenhouse gas savings on German dairy farms," Agricultural Systems, Elsevier, vol. 152(C), pages 27-37.
    19. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    20. Zetian Yu & Hao Liu & Hua Peng & Qiantong Xia & Xiaoxia Dong, 2023. "Production Efficiency of Raw Milk and Its Determinants: Application of Combining Data Envelopment Analysis and Stochastic Frontier Analysis," Agriculture, MDPI, vol. 13(2), pages 1-25, 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:ags:ijamad:147597. 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/iraesea.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.