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Evaluating scale and technical efficiency among farms and ranches with a local market orientation

Published online by Cambridge University Press:  21 December 2017

Allison Bauman ,
Dawn Thilmany  and
Becca B.R. Jablonski
Allison Bauman*
Affiliation:
Department of Agricultural and Resource Economics, Colorado State University, B310 Clark, Fort Collins CO 80523-1172, USA
Dawn Thilmany
Affiliation:
Department of Agricultural and Resource Economics, Colorado State University, B310 Clark, Fort Collins CO 80523-1172, USA
Becca B.R. Jablonski
Affiliation:
Department of Agricultural and Resource Economics, Colorado State University, B325 Clark, Fort Collins CO 80523-1172, USA
*
Author for correspondence: Allison Bauman, E-mail: allie.bauman@colostate.edu
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Abstract

In recent years, the growth in local food marketing channels has been significant. Most of the research in this field examining the economic implication of these trends has focused post-farmgate including supply chain analysis (e.g., Hardesty et al., 2014; King et al., 2010), regional economic impacts (e.g., Brown et al., 2014; Hughes et al., 2008; Jablonski et al., 2016) and consumer values and motivations that have driven demand (e.g., Costanigro, 2014; Lusk and Briggeman, 2009). To date, with the exception of a few case studies examining expenses and sales by channel assessment (LeRoux et al., 2010; Hardesty and Leff, 2010; Jablonski and Schmit, 2016) there has been little research that examines the impact on financial viability among farms selling through these markets. The goal of this paper is twofold: first, to identify the factors that have the greatest influence on the efficiency of farmers and ranchers that participate in local food systems, and second, to estimate the relationship between marketing strategy and farm financial efficiency, with a particular focus on variations across farm size. Our estimation of the stochastic production frontier suggests that scale, production enterprise specialty, market outlet choices, land ownership, and management of expenses have the greatest influence on producer financial efficiency. Our model suggests that scale has the largest impact on financial efficiency, providing evidence that, all else constant, the most important factor in the efficiency of direct market producers is scale. When profit is defined as operating profit, results indicate that marketing channel is not an important indicator of efficiency. But when profit is defined as return on assets, marketing channel is an important indicator of efficiency, albeit less than is scale. Results from this analysis indicate there are economies of scale associated with farms and ranches that sell through local and regional markets, and that scale rather than marketing channel has the largest influence on efficiency.

Keywords

Farm profitabilitylocal foodstechnical efficiency
Type
Themed Content: Intermediated Marketing Channels in Regional Food Systems
Information
Renewable Agriculture and Food Systems , Volume 34 , Special Issue 3: Themed Content: Intermediated Marketing Channels in Regional Food Systems , June 2019 , pp. 198 - 206
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Copyright
Copyright © Cambridge University Press 2017 

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References

Aigner, D, Lovell, CA Knox and Schmitt, P (1977) Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6, 21–37.Google Scholar
Barath, L and Ferto, I (2015) Heterogeneous technology, scale of land use and technical efficiency: the case of Hungarian crop farms. Land Use Policy 42, 141–150.Google Scholar
Bauman, A, Thilmany, D and Jablonski, BBR (2017) The financial performance implications of differential marketing strategies: exploring farms that pursue local markets as a core competitive advantage. Submission to the Agricultural and Resources Economic Review.Google Scholar
Bokusheva, R, Hockmann, H and Kumbhakar, SC (2012) Dynamics of productivity and technical efficiency in Russian agriculture. European Review of Agricultural Economics 39(4), 611–637.Google Scholar
Brown, JP, Goetz, SJ, Ahearn, MC and Liang, K (2014). Linkages between community-focused agriculture, farm sales, and regional growth. Economic Development Quarterly 28(1), 5–16.Google Scholar
Costanigro, M, Kroll, S, Thilmany, D and Bunning, M (2014) Is it love for local/organic or hate for conventional? Asymmetric effects of information and taste on label preferences in an experimental auction. Food Quality and Preference 31, 34–105.Google Scholar
Detre, JD, Mark, TB, Mishra, AK and Adhikari, A (2011) Linkage between direct marketing and farm income: a double-hurdle approach. Agribusiness 27(1), 19–33.Google Scholar
Dubman, RW (2000) Variance estimation with USDA's Farm Costs and Returns surveys and Agricultural Resource Management Study surveys. Resource Economics Division, Economic Research Service, U.S. Department of Agriculture. Staff Paper No. AGES 00-01.Google Scholar
Farm Credit Administration. (2016) Young, Beginning, and Small Farmer/Rancher Lending. Available at https://www.fca.gov/info/ybs.html (Accessed 27 May 2017).Google Scholar
Fernandez-Cornejo, J, Mishra, A, Nehring, R, Hendricks, C, Southern, M and Gregory, A (2007) Off-farm income, technology adaptation, and farm economic performance. ERR-36, U.S. Department of Agriculture, Economic Research Service.Google Scholar
Green, WH (2012) Econometric Analysis. Edinburgh Gate, Harlow Essex, England: Pearson Education Limited.Google Scholar
Hardesty, S and Leff, P (2010) Determining marketing costs and returns in alternative marketing channels. Renewable Agriculture and Food Systems 25(1), 24–34.Google Scholar
Hardesty, S, Feenstra, G, Visher, D, Lerman, T, Thilmany McFadden, D, Bauman, A and Rainbolt, G (2014) Values-based supply chains: supporting regional food and farms. Economic Development Quarterly 28(1), 17–27. doi: 10.1177/0891242413507103.Google Scholar
Hughes, D, Brown, C, Miller, S and McConnell, T (2008) Evaluating the economic impact of farmers’ markets using an opportunity cost framework. Journal of Agricultural and Applied Economics 40(1), 253–265.Google Scholar
Jablonski, BBR and Schmit, TM (2016) Differentiating ‘local’ producers’ expenditure profiles to evaluate impacts of policies supporting local food systems. Journal of Renewable Agriculture and Food Systems 31(2), 139–147.Google Scholar
Jablonski, BBR, Schmit, TM and Kay, D (2016) The economic impacts of food hubs to regional economies: a framework including opportunity cost. Agricultural and Resource Economics Review 45(1), 143–172.Google Scholar
Ho, CKM, Newman, M, Dalley, DE, Little, S and Wales, WJ (2013) Performance, return and risk of different dairy systems in Australia and New Zealand. Animal Production Science 53, 894–906.Google Scholar
Hoppe, RA (2014) Structure and Finances of U.S. Farms: Family Farm Report, 2014 Edition, EIB-132, U.S. Department of Agriculture, Economic Research Service.Google Scholar
Key, N and McBride, WD (2014) Sub-therapeutic antibiotics and the efficiency of U.S. hog farmers. Journal of Agricultural and Applied Economics 96(3), 831–850.Google Scholar
King, RP, Hand, MS, DiGiacomo, G, Clancy, K, Gomez, MI, Hardesty, SD, Lev, L and McLaughlin, EW (2010) Comparing the Structure, Size, and Performance of Local and Mainstream Food Supply Chains, ERR-99, U.S. Department of Agriculture, Economic Research Service.Google Scholar
LeRoux, MN, Schmit, TM, Roth, M and Streeter, DH (2010) Evaluating marketing channel options for small-scale fruit and vegetable producers. Renewable Agriculture and Food Systems 25(1), 16–23.Google Scholar
Low, SA and Vogel, S (2011) Direct and Intermediated Marketing of Local Foods in the United States, ERR-128, U.S. Department of Agriculture, Economic Research Service.Google Scholar
Low, SA, Adalja, A, Beaulieu, E, Key, N, Martinez, S, Melton, A, Perez, A, Ralston, K, Stewart, H, Suttles, S, Vogel, S and Jablonski, BBR (2015) Trends in U.S. Local and Regional Food Systems, AP-068, U.S. Department of Agriculture, Economic Research Service.Google Scholar
Lusk, JL and Briggeman, BC (2009) Food values. American Journal of Agricultural Economics 91(1), 184–196.Google Scholar
MacDonald, JM and McBride, WD (2009) The Transformation of U.S. Livestock Agriculture: Scale, Efficiency, and Risks, Economic Information Bulletin No. 43. U.S. Department of Agriculture, Economic Research Service.Google Scholar
Maudos, J, Pastor, JM, Pérez, F and Quesada, J (2002) Cost and profit efficiency in European banks. Journal of International Financial Markets 12, 33–58.Google Scholar
Mayen, CD, Balagatas, JV and Alexander, CE (2010) Journal of Agricultural and Applied Economics 92(1), 181–195.Google Scholar
Meeusen, W and van den Broeck, J (1977) Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review 18(2), 435–444.Google Scholar
Mishra, KA, El-Osta, HS, Morehart, MJ, Johnson, JD and Hopkins, JW (2002) Income, Wealth, and the Economic Well-Being of Farm Households, AER-812, Economic Research Service, U.S. Department of Agriculture.Google Scholar
Morrison Paul, CJ and Nehring, R (2005) Product diversification, production systems, and economic performance in U.S. Agricultural production. Journal of Econometrics 126, 525–548.Google Scholar
Onozaka, Y and Thilmany McFadden, D (2011) Does local labeling complement or compete with other sustainable labels? A conjoint analysis of direct and joint values for fresh produce claims. American Journal of Agricultural Economics 93(3), 689–702.Google Scholar
Oppendahl, DB (2013) Understanding recent trends in Midwest farmland leasing. The Federal Reserve Bank of Chicago. Essays on Issues 308. Available at https://www.chicagofed.org/publications/publication-listing?page=3&filter_name=CE91B0FBDD5D4549B23CF14BE111AF46&filter_startDate=mm/dd/yyyy&filter_endDate=mm/dd/yyyyGoogle Scholar
Park, T, Mishra, AK and Wozniak, SJ (2014) Do farm operators benefit from direct to consumer marketing strategies? Agricultural Economics 45, 213–224.Google Scholar
Park, TA (2015) Direct marketing and the structure of farm sales: an unconditional quantile regression approach. Journal of Agricultural and Resource Economics 40(2), 266–284.Google Scholar
Schmit, TM, Jablonski, BBR and Mansury, T (2016) Assessing the economic impacts of local food system producers by scale: a case study from New York. Economic Development Quarterly 30(4), 316–328.Google Scholar
StataCorp. (2013) Stata: Release 13. Statistical Software. College Station, TX: StataCorp LP.Google Scholar
Thilmany McFadden, D, Bauman, AJablonski, BBR (2016 a) The Financial Performance Implications of Differential Marketing Strategies: Exploring Farms That Pursue Local Markets as A Core Competitive Advantage. Working paper, presented as an Organized Symposia at the 2016 AAEA Annual Meetings, Boston, MA.Google Scholar
Thilmany McFadden, D, Conner, D, Deller, S, Hughes, D, Meter, K, Morales, A, Schmit, T, Swenson, D, Bauman, A, Phillips Goldenberg, M, Hill, R, Jablonski, BBR and Tropp, D (2016 b) The Economics of Local Food Systems: A Toolkit to Guide Community Discussions, Assessments, and Choices. U.S. Department of Agriculture, Agricultural Marketing Service. Available at https://www.ams.usda.gov/sites/default/files/media/Toolkit%20Designed%20FINAL%203-22-16.pdfGoogle Scholar
U.S. Department of Agriculture, Farm Service Agency (USDA FSA). (2016) Farm Loan Programs. http://www.fsa.usda.gov/programs-and-services/farm-loan-programs/index (Accessed 1 May 2017). See more at http://www.choicesmagazine.org/choices-magazine/submitted-articles/beginning-farm-credit-and-the-farm-service-agencys-role#sthash.7V4MwD8L.dpufGoogle Scholar
U.S. Department of Agriculture, Risk Management Association (USDA RMA). (2017) Whole Farm Revenue Protection Pilot Program. Available at https://www.rma.usda.gov/policies/wfrp.html (Accessed 1 May 2017).Google Scholar
Wolf, CA, Stephenson, MW, Knoblauch, WA and Novakovic, AM (2016) Dairy farm financial performance: firm, year, and size effects. Agricultural Finance Review 76(4), 532–543.Google Scholar