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Segmentation of Retail Food Store Formats in Qingdao, China

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  • Bai, Junfei
  • Wahl, Thomas I.
  • McCluskey, Jill J.

Abstract

This study empirically estimates a multivariate binary choice model for four categories of food shopping store formats. The results indicate that in the Qingdao market, traditional counter parts such as wet markets and small grocery stores have been dominated by supermarkets and hypermarkets. At the same time, the rapid growth of hypermarkets in Qingdao is significantly challenging current supermarkets in this city, but they do not compete extensively with wet markets and small grocery stores. Further development of various categories of the food shopping store format is linked to store owned characteristics, potential interrelations among existing retail formats, as well as consumers’' demographics and shopping habits.

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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2006 Annual meeting, July 23-26, Long Beach, CA with number 21233.

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Date of creation: 2006
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Handle: RePEc:ags:aaea06:21233

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Keywords: Food retail store format; consumer choice; multivariate probit model; China; Agribusiness;

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  1. Thomas Reardon & C. Peter Timmer & Christopher B. Barrett & Julio Berdegué, 2003. "The Rise of Supermarkets in Africa, Asia, and Latin America," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(5), pages 1140-1146.
  2. Axel Borsch-Supan & Vassilis Hajivassiliou & Laurence J. Kotlikoff, 1992. "Health, Children, and Elderly Living Arrangements: A Multiperiod-Multinomial Probit Model with Unobserved Heterogeneity and Autocorrelated Errors," NBER Chapters, in: Topics in the Economics of Aging, pages 79-108 National Bureau of Economic Research, Inc.
  3. Shuguang Wang & Yongchang Zhang, 2005. "The New Retail Economy of Shanghai," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 36(1), pages 41-73.
  4. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," United Kingdom Stata Users' Group Meetings 2003 10, Stata Users Group.
  5. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
  6. Dinghuan Hu & Thomas Reardon & Scott Rozelle & Peter Timmer & Honglin Wang, 2004. "The Emergence of Supermarkets with Chinese Characteristics: Challenges and Opportunities for China's Agricultural Development," Development Policy Review, Overseas Development Institute, vol. 22, pages 557-586, 09.
  7. Vassilis A. Hajivassiliou & Axel Borsch-Supan, 1990. "Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models," Cowles Foundation Discussion Papers 960, Cowles Foundation for Research in Economics, Yale University.
  8. Anonymous & Gehlhar, Mark J., 2005. "New Directions In Global Food Markets," Agricultural Information Bulletins 33751, United States Department of Agriculture, Economic Research Service.
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