Abstract
Recently, price leadership in supermarkets has become a subject of extensive research. In our study, we utilize the Generalized Seaton–Waterson (GSW) method, but with a unique approach based on Granger causality networks. As it naturally captures statistically significant price variation sequences, the multiple interactions observed by a network present dimensions hardly observed when studying pairwise relations. Our investigation centers on retail tea product data from three stores in Argentina. The results highlight numerous significant leader–follower relationships, primarily associated with Black tea options and brand interactions. We distinguish two main brands in the market as segment leaders. This insight sheds light on the dynamics of price leadership within the retail tea market and provides valuable information for market participants and researchers alike.
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Data used in this contribution is available at https://doi.org/10.7910/DVN/J0KSLS.
References
Berck, P., J. Brown, J.M. Perloff, and S. Berto Villas-Boas. 2008. Sales: Tests of theories on causality and timing. International Journal of Industrial Organization 26: 1257–1273. https://doi.org/10.1016/j.i**dorg.2007.12.007.
Byrne, D.P., and N. de Roos. 2019. Learning to coordinate: A study in retail gasoline. American Economic Review 109 (2): 591–619. https://doi.org/10.1257/aer.20170116.
Castagneto-Gissey, G., M. Chavez, and Fallani F. De Vico. 2014. Dynamic Granger-causal networks of electricity spot prices: A novel approach to market integration. Energy Economics 44: 422–432. https://doi.org/10.1016/j.eneco.2014.05.008.
Ellickson, P.B., and M. Misra. 2008. Supermarket pricing strategies. Marketing Science 27 (5): 811–828. https://doi.org/10.1287/mksc.1080.0398.
Giordano, V., J.M.C. Larrosa, Ramírez Muñoz, G.R. de Toro, and J.I. Uriarte. 2022. Pricing and promotions in retail tea market in Argentina. Journal of International Food & Agribusiness Marketing. https://doi.org/10.1080/08974438.2022.2097356.
Jiménez-Toribio, R., and J.J. García-del-Hoyo. 2006. Evidence of market price leadership in the Spanish red seabream value chain—Implications for fisheries management. Fisheries Research 81 (1): 51–59. https://doi.org/10.1016/j.fishres.2006.05.009.
Kim, S.-H., H. Lan, and P.W. Dobson. 2021. Identifying price-leadership structures in oligopoly. Oxford Economic Papers 73 (1): 350–370. https://doi.org/10.1093/oep/gpz066.
Kuiper, W.E., and M.T.G. Meulenberg. 2002. Vertical price leadership: A cointegration analysis. Agribusiness 18 (3): 317–331. https://doi.org/10.1002/agr.10025.
Liao, B., C.A. Yano, and M. Trivedi. 2019. Optimizing store-brand quality: Impact of choice of producer and channel price leadership. Production and Operations Management 29 (1): 118–137. https://doi.org/10.1111/poms.13084.
Organisation for Economic Co-operation and Development. 1993. Glossary of Industrial Organisation Economics and Competition Law. USA.
Pesendorfer, M. 2002. Retail sales: A study of pricing behavior in supermarkets. The Journal of Business 75 (1): 33–66. https://doi.org/10.1086/323504.
Salazar, L., and J. Dresdner. 2020. Market integration and price leadership: The U.S. Atlantic salmon market. Aquaculture Economics & Management 25 (3): 245–259. https://doi.org/10.1080/13657305.2020.1843562.
Seaton, J.S., and M. Waterson. 2013. Identifying and characterizing price leadership in British supermarkets. International Journal of Industrial Organization 31: 392–403. https://doi.org/10.1016/j.ijimdorg.2013.07.002.
Shankar, V., and R.N. Bolton. 2004. An empirical analysis of determinants of retailer pricing strategy. Marketing Science 23 (1): 28–49. https://doi.org/10.1287/mksc.1030.0034.
Shen, C., L. Chi, X. Wang, S. Han, J. Zhang, and M. Zhu. 2022. A spatial network analysis of vegetable prices based on a partial Granger causality approach. Frontiers of Physics 10: 1019643. https://doi.org/10.3389/fphy.2022.1019643.
Sinitsyn M (2022) Price leadership with promotions. International Journal of Industrial Organization 82. https://doi.org/10.1016/j.i**dorg.2022.102838
Slade, M. 1990. Strategic pricing models and interpretation of price-war data. European Economic Review 34: 524–537. https://doi.org/10.1016/0014-2921(90)90125-I.
Slade, M. 1995. Product rivalry with multiple strategic weapons: An analysis of price and advertising competition. Journal of Economics & Management Strategy 4 (3): 445–476. https://doi.org/10.1111/j.1430-9134.1995.00445.x.
Slade, M. 1998. Optimal pricing with costly adjustments: Evidence from retail-grocery products. Review of Economic Studies 65 (1): 87–107. https://doi.org/10.1111/1467-937X.00036.
Sun, Q., X. Gao, S. Wen, Z. Chen, and X. Hao. 2018. The transmission of fluctuation among price indices based on Granger causality network. Physica a: Statistical Mechanics and Its Applications 506: 36–49. https://doi.org/10.1016/j.physa.2018.04.055.
Vickner, S.S., and S.P. Davies. 2002. Estimating strategic price response using cointegration analysis. The case of the domestic black and herbal tea industries. Agribusiness 18 (2): 131–144. https://doi.org/10.1002/agr.10012.
Wang, G., H. Si, Y. Chen, C. **e, and J. Chevallier. 2021. Time domain and frequency domain Granger causality networks: Application to China’s financial institutions. Finance Research Letters. https://doi.org/10.1016/j.frl.2020.101662.
Wang, Y., X. Wang, and K. Guo. 2022. Analysis on the transmission of international oil price to China’s Price Index-based on Granger causality network. Procedia Computer Science 199: 1276–1283. https://doi.org/10.1016/j.procs.2022.01.162.
Yao, C.-Z., J.-N. Lin, Q.-W. Lin, X.-Z. Zheng, and X.-F. Liu. 2016. A study of causality structure and dynamics in industrial electricity consumption based on Granger network. Physica a: Statistical Mechanics and Its Applications 462: 297–320. https://doi.org/10.1016/j.physa.2016.06.100.
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Larrosa, J.M.C., Gutiérrez, E.M., Uriarte, J.I. et al. Granger causality networks of price leadership in the retail tea market of Argentina. J Revenue Pricing Manag (2024). https://doi.org/10.1057/s41272-024-00480-y
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DOI: https://doi.org/10.1057/s41272-024-00480-y