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Assessing Performance Impacts in Food Retail Distribution Systems: A Stochastic Frontier Model Correcting for Sample Selection

Published online by Cambridge University Press:  15 September 2016

Timothy A. Park
Timothy A. Park*
Affiliation:
U.S. Department of Agriculture Economic Research Service
*
Correspondence: Timothy Park ▪ FMB/FED/ERS ▪ 355 E Street SW ▪ Washington, DC 20024-3221 ▪ Phone 202.694.5446 ▪ Email[email protected].
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Abstract

A key organizational decision for retailers is whether to self-distribute or rely on a wholesaler-supplied network and yet little is known about the impact of this strategic choice on store-level productivity. We estimate a stochastic frontier model for food retailers that accounts for selectivity effects linked to the choice of distribution strategy. We find that adoption of data-sharing technologies has a positive impact on store-level gross margins of stores in self-distributing chains. Technical inefficiency among U.S. food retailers leads to a gross margin that is around $5,000 less for a conventional food retailer and about $7,670 less for a supercenter.

Keywords

food retailingsample selectionself-distributionstochastic frontier
Type
Research Article
Information
Agricultural and Resource Economics Review , Volume 43 , Issue 3 , December 2014 , pp. 373 - 389
Copyright
Copyright © 2014 Northeastern Agricultural and Resource Economics Association 

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References

Akkerman, R., Farahani, P., and Grunow, M. 2010. “Quality, Safety, and Sustainability in Food Distribution: A Review of Quantitative Operations Management Approaches and Challenges.” OR Spectrum 32(4): 863–904.Google Scholar
Baily, M.N., and Solow, R.M. 2001. “International Productivity Comparisons Built from the Firm Level.” Journal of Economic Perspectives 15(3): 151–172.Google Scholar
Barros, C.P., and Alves, C.A. 2003. “Hypermarket Retail Efficiency in Portugal.” International Journal of Retail and Distribution Management 31(11): 549–560.Google Scholar
Betancourt, R., and Malanoski, M. 1999. “An Estimable Model of Supermarket Behavior: Prices, Distribution Services, and Some Effects of Competition.” Empirica 26(1): 55–73.Google Scholar
Davis, S.J., Faberman, R.J., and Haltiwanger, J. 2006. “The Flow Approach to Labor Markets: New Data Sources and Micro-Macro Links.” Journal of Economic Perspectives 20(3): 3–26.Google Scholar
DSN Retailing Today. 2008. “Target Sinks Teeth into Expanded Array of Food.” 47(1): 14.Google Scholar
Dubelaar, C., Bhargava, M., and Ferrarin, D. 2002. “Measuring Retail Productivity.” Journal of Retailing 55(5): 417–426.Google Scholar
Ellickson, P.B. 2006. “Quality Competition in Retailing: A Structural Analysis.” International Journal of Industrial Organization 24(3): 521–540.Google Scholar
Food Marketing Institute. 2008. “The Food Industry Speaks” survey data. Food Marketing Institute, Arlington, VA. Google Scholar
Foster, L., Haltiwanger, J., and Krizan, C.J. 2006. “Market Selection, Reallocation, and Restructuring in the U.S. Retail Trade Sector in the 1990s.” Review of Economics and Statistics 88(4): 748–758.Google Scholar
Greene, W. 2010. “A Stochastic Frontier Model with Correction for Sample Selection.” Journal of Productivity Analysis 34(1): 15–24.Google Scholar
Grocery Manufacturers Association. 2008. “Powering Growth through DSD: Executive Overview.” The Grocery Manufacturers Association, Washington, DC. Google Scholar
Guy, C., Bennison, D., and Clarke, R. 2005. “Scale Economies and Superstore Retailing: New Evidence from the UK.” Journal of Retailing and Consumer Services 12(2): 73–81.Google Scholar
Heckman, J. 1979. “Sample Selection Bias as a Specification Error.” Econometrica 47(1): 153–161.Google Scholar
Hoppe, H.C. 2002. “The Timing of New Technology Adoption: Theoretical Models and Empirical Evidence.” The Manchester School 70(1): 56–76.Google Scholar
Keh, H.T., and Chu, S. 2003. “Retail Productivity and Scale Economies at the Firm Level: A DEA Approach.” Omega 31(2): 75–82.Google Scholar
King, R.P. 2003. “Is There a Future for Wholesaler-supplied Supermarkets?” Choices 18(4): 17–20.Google Scholar
King, R.P., and Park, T.A. 2004. “Modeling Productivity in Supermarket Operations: Incorporating the Impacts of Store Characteristics and Information Technologies.” Journal of the Food Distribution Research Society 35(2): 42–55.Google Scholar
Kinsey, J. 2000. “Retail Food Distribution: The Race to Efficiency.” Paper presented at the Conference on Microbehavior and Macroresults, IIFET, Oregon State University.Google Scholar
Kinsey, J.D., Jacobson, E.M., Behl, A.S., and Seltzer, J.M. 2003. The 2003 Supermarket Panel: Annual Report. The Food Industry Center, Department of Applied Economics, University of Minnesota.Google Scholar
Kulp, S.C., Lee, H.L., and Ofek, E. 2004. “Manufacturer Benefits from Information Integration with Retail Customers.” Management Science 50(4): 431–444.Google Scholar
Kumbhakar, S.C., Tsionas, E.G., and Sipiläinen, T. 2009. “Joint Estimation of Technology Choice and Technical Efficiency: An Application to Organic and Conventional Dairy Farming.” Journal of Productivity Analysis 31(3): 151–162.Google Scholar
Matsa, D.A. 2011. “Competition and Product Quality in the Supermarket Industry.” The Quarterly Journal of Economics 126(3): 1539–1591.Google ScholarPubMed
Murphy, K., and Topel, R. 2002. “Estimation and Inference in Two Stage Econometric Models.” Journal of Business and Economic Statistics 20(1): 88–97.Google Scholar
National Grocers Association. 2004. “Points of Impact FMS Retail Operations Survey 2004-2005.” Available at www.powershow.com/view/9f1b9-YWY1Y/Points_of_Impact_FMS_Retail_Operations_Survey_20042005_powerpoint_ppt_presentation (accessed October 2014).Google Scholar
Oi, W. 1992. “Productivity in the Distributive Trades: The Shopper and the Economics of Massed Reserves.” In Griliches, Z., ed., Output Measurement in the Service Sector. Chicago, IL: University of Chicago Press.Google Scholar
Park, T.A., and King, R.P. 2007. “Evaluating Food Retailing Efficiency: The Role of Information Technology.” Journal of Productivity Analysis 27(2): 101–113.Google Scholar
Sellers-Rubio, R., and Más-Ruiz, F.J. 2009. “Technical Efficiency in the Retail Food Industry.” European Journal of Marketing 43(5/6): 652–699.Google Scholar
Sherman, R. 2001. “Wholesale Distribution: Back in the Chain Game.” MHLNews.com (Material Handling and Logistics). Available at http://mhlnews.com/facilities-management/mhm_imp_2610 (accessed October 1, 2014).Google Scholar
Terza, J.V. 2009. “Parametric Nonlinear Regression with Endogenous Switching.” Econometric Reviews 28(6): 555–580.Google Scholar
Volpe, R. 2011. “Evaluating the Performance of U.S. Supermarkets: Pricing Strategies, Competition from Hypermarkets, and Private Labels.” Journal of Agricultural and Resource Economics 36(3): 488–503.Google Scholar