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Business Growth Strategies Of Illinois Farms: A Quantile Regression Approach

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  • Hennings, Enrique
  • Katchova, Ani L.

Abstract

This study examines the business strategies employed by Illinois farms to maintain equity growth using quantile regression analysis. Using data from the Farm Business Farm Management system, this study finds that the effect of different business strategies on equity growth rates differs between quantiles. Financial management strategies have a positive effect for farms situated in the highest quantile of equity growth, while for farms in the lowest quantile the effect on equity growth is negative. Cost reduction, asset management and revenue enhancement strategies all proved to have important effects on the determination of growth equity rates.

Suggested Citation

  • Hennings, Enrique & Katchova, Ani L., 2005. "Business Growth Strategies Of Illinois Farms: A Quantile Regression Approach," 2005 Annual meeting, July 24-27, Providence, RI 19367, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea05:19367
    DOI: 10.22004/ag.econ.19367
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    References listed on IDEAS

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    1. Gorg, Holger & Strobl, Eric & Ruane, Frances, 2000. "Determinants of Firm Start-Up Size: An Application of Quantile Regression for Ireland," Small Business Economics, Springer, vol. 14(3), pages 211-222, May.
    2. Jayachandran N. Variyam & James Blaylock & David Smallwood, 2002. "Characterizing the Distribution of Macronutrient Intake among U.S. Adults: A Quantile Regression Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 454-466.
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    Cited by:

    1. Joshua D. Detre & Hiroki Uematsu & Ashok K. Mishra, 2011. "The influence of GM crop adoption on the profitability of farms operated by young and beginning farmers," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 41-61, May.
    2. Lajos Zoltán Bakucs & Imre Fertő, 2009. "The growth of family farms in Hungary," Agricultural Economics, International Association of Agricultural Economists, vol. 40(s1), pages 789-795, November.
    3. Fertő, Imre & Bakucs, Lajos Zoltán, 2008. "Érvényes-e a Gibrat-törvény a magyar mezőgazdaságban? [Is Gibrat s law valid for Hungarian agriculture?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 25-38.
    4. Durguner, Sena & Barry, Peter J. & Katchova, Ani L., 2006. "Farm Financial Performance from Borrower and Lender Perspectives," 2006 Annual meeting, July 23-26, Long Beach, CA 21199, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Ahmed Raza Cheema & Adeel Saleem & Hubert Visas & Jabbar Ul-Haq, 2022. "Role of Education, Age, and Family Size on Food Insecurity in Pakistan: A Quantile Regression Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2576-2597, October.
    6. Oliver Musshoff & Norbert Hirschauer, 2011. "A behavioral economic analysis of bounded rationality in farm financing decisions," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 62-83, May.
    7. Hadrich, Joleen C. & Wolf, Christopher A. & Johnson, Kamina K., 2015. "Chacterizing U.S. Dairy Farm Wealth and Income Distributions," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205383, Agricultural and Applied Economics Association.

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    Keywords

    Farm Management;

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