Working paper

What's in a Name? Information, Heterogeneity, and Quality in a Theory of Nested Names

Zohra Bouamra-Mechemache, Jianyu Yu, and Angelo Zago

Abstract

Collective labels are widespread in food markets, either separated or nested with private brands; the latter known as nested names. We propose a model to explain the rationale of nested names, with collective labels being effective in reaching unaware consumers while individual brands help firms to reach aware consumers. We also incorporate the decision-making within the group of producers joining collective labels, taking into account their heterogeneity in providing quality. We show that nested names emerge when consumers become more aware of information on the label's quality and when producers become more heterogeneous. Welfare may decrease, however, when the group switches to nested names, because nested names may lead to lower quality incentives for the majority producers. The results also provide insights into the historical and recent trends in food industries, such as within-label differentiation and label fragmentation, and their welfare implications.

Keywords

nested names; individual brands; collective labels; consumers' awareness; producer heterogeneity; quality provision;

JEL codes

  • D71: Social Choice • Clubs • Committees • Associations
  • D83: Search • Learning • Information and Knowledge • Communication • Belief
  • L15: Information and Product Quality • Standardization and Compatibility
  • L66: Food • Beverages • Cosmetics • Tobacco • Wine and Spirits
  • Q13: Agricultural Markets and Marketing • Cooperatives • Agribusiness

Replaced by

Jianyu Yu, Zohra Bouamra-Mechemache, and Angelo Zago, What's in a Name? Information, Heterogeneity, and Quality in a Theory of Nested Names, American Journal of Agricultural Economics, vol. 100, n. 1, January 2018, pp. 286–310.

Reference

Zohra Bouamra-Mechemache, Jianyu Yu, and Angelo Zago, What's in a Name? Information, Heterogeneity, and Quality in a Theory of Nested Names, TSE Working Paper, n. 17-866, November 2017.

See also

Published in

TSE Working Paper, n. 17-866, November 2017