Potato price transmission in a small producing country: Does the neighbourhood of the main producing country matter
Nelė Jurkėnaitė

, Alina Syp, Aldona Stalgienė

Abstract: This paper investigates price transmission on the potato market of a small producing country, namely Lithuania, and the influence of the neighbouring main producing country (Poland) on the price setting over the period of 2017-2023. The research framework includes the following coherent and interconnected steps that allow to investigate relationships between potato prices: unit root tests, the Toda-Yamamoto test, the Autoregressive Distributed Lag (ARDL) modelling and the Bounds test for the co-integration, the Error Correction Term (ECT) estimation applying the ARDL Error Correction Regression. The Toda-Yamamoto test demonstrates a bidirectional movement between producer and retail prices on the Lithuanian potato market, while, in Poland, the price setting moves from producer to retailer. Bounds tests confirm the presence of the long run relationships for vertical and horizontal potato price transmission of the small producing country. However, the ECT coefficient for the domestic supply chain is 1.63 times the ECT coefficient for horizontal potato price transmission. Results confirm that the main producing country influences the price setting of the investigated small producing country. Thus, individual case studies of member states are important to understand potato price setting mechanisms and the EU market functioning.
Keywords: potato market; price; supply chain
Citation: Jurkėnaitė, N., Syp, A. & Stalgienė, A. (2025). Potato price transmission in a small producing country: Does the neighbourhood of the main producing country matter? Bulg. J. Agric. Sci., 31(2), 254–260.
References: (click to open/close) | Bakucs, L. Z., Fertő, I. & Szabó, G. G. (2007). Price transmission in the Hungarian vegetable sector. Studies in Agricultural Economics, 106, 23-39. Chiurciu, I., Cofas, E. & Dragomir, V. (2020). Study on the production and marketing of potatoes in the European Union. Romanian Agricultural Research, 37, 243–251. Devaux, A., Goffart, J. P., Petsakos, A., Kromann, P., Gatto, M., Okello, J., Suarez, V. & Hareau, G. (2020). Global food security, contributions from sustainable potato agri-food systems. In: The Potato Crop: Its Agricultural, Nutritional and Social Contribution to Humankind. Springer Nature Switzerland AG, Switzerland, 3-35. https://doi.org/10.1007/978-3-030-28683-5. Devaux, A., Goffart, J. P., Kromann, P., Andrade-Piedra, J., Polar, V. & Hareau, G. (2021). The potato of the future: opportunities and challenges in sustainable agri-food systems. Potato Research, 64(4), 681-720. https://doi.org/10.1007/s11540-021-09501-4. Dickey, D. A. & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431. Dogbe, W. & Revoredo-Giha, C. (2021). Nutritional implications of trade-offs between fresh and processed potato products in the United Kingdom (UK). Frontiers in Nutrition, 7, 614176. doi: 10.3389/fnut.2020.614176. Emmanouilides, C. J. & Proskynitopoulos, A. (2020). Spatial integration of pig meat markets in the EU: Complex network analysis of non-linear price relationships. In: Theory and Applications of Time Series Analysis: Selected Contributions from ITISE 2019, 6 . Springer Nature Switzerland AG, Switzerland, 81-97. Eurostat (2023). Crop production in EU standard humidity. https://ec.europa.eu/eurostat/databrowser/view/apro_cpsh1__custom_8903417/default/table?lang=en (cit. 17-11-2023). FAOSTAT (2023). Commodities by country. https://www.fao.org/faostat/en/#rankings/commodities_by_country (cit. 17-11-2023). FAOSTAT (2023a). Crops and livestock products. https://www.fao.org/faostat/en/#data/QCL (cit. 17-11-2023) Goffart, J. P., Haverkort, A., Storey, M., Haase, N., Martin, M., Lebrun, P., Ryckmans, D., Florins, D. & Demeulemeester, K. (2022). Potato production in northwestern Europe (Germany, France, the Netherlands, United Kingdom, Belgium): characteristics, issues, challenges and opportunities. Potato Research, 65(3), 503-547. https://doi.org/10.1007/s11540-021-09535-8. Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438. Gustavsen, G. W. (2021). Sustainability and potato consumption. Potato Research, 64(4), 571-586. https://doi.org/10.1007/s11540-021-09493-1. Jeder, H., Naimi, A. & Oueslati, A. (2017). Transmission between retail and producer prices for main vegetable crops in Tunisia. International Journal of Food and Agricultural Economics (IJFAEC), 5(1), 19-28. Klimek-Kopyra, A., Bacior, M. & Neugschwandtner, R. (2023). Hybrid rye (Secale cereale L.) as a good crop component to enhance yield stability in a winter cereal mixture. Acta Agrobotanica, 76, 1-17. DOI: 10.5586/aa/172670. Kowalska, A. S. & Gurkowa, K. (2019). Changes in potato production and consumption in Poland in 2001-2019. Problems of World Agriculture, 19(3), 46–56. DOI: 10.22630/PRS.2019.19.3.45. Listorti, G. & Esposti, R. (2012). Horizontal price transmission in agricultural markets: fundamental concepts and open empirical issues. Bio-based and Applied Economics, 1(1), 81-108. Louwaars, N. P. (2023). Chapter 4. Potato in the Netherlands–a remarkable story. In: Impact of Hybrid Potato: The Future of Hybrid Potato from a Systems Perspective. Wageningen Academic Publishers, Netherlands, 45-58. https://doi.org/10.3920/978-90-8686-946-6_4. Nkoro, E. & Uko, A. K. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation. Journal of Statistical and Econometric Methods, 5(4), 63-91. Pesaran, M. & Shin, Y. (1999). An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis. In: Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge University Press, Cambridge, 371-413. Pesaran, M. H., Shin, Y. & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. doi: 10.1002/jae.616. Phillips, P. C. & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. Piwowar, A. (2021). Potato market. In: Selected markets of agri-food products after Poland's accession to the European Union, Rynek ziemniaków, In: Wybrane rynki produktów rolno spożywczych po wejściu Polski do Unii Europejskiej. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu, Poland, 80-92 (Pl). Rezitis, A. N. & Pachis, D. N. (2016). Investigating the price transmission mechanisms of Greek fresh potatoes, tomatoes and cucumbers markets. Journal of Agricultural & Food Industrial Organization, 14(1), 91-108. Roman, M. & Roman, M. (2020). Milk market integration between Poland and the EU countries. Agriculture, 10(11), 561. doi:10.3390/agriculture10110561. Santeramo, F. G. & von Cramon-Taubadel, S. (2016). On perishability and vertical price transmission: empirical evidences from Italy. Bio-based and Applied Economics Journal, 5(2), 199- 214. DOI: 10.13128/BAE-18043. Stańko, S. & Mikuła, A. (2021). Changes in the production, foreign trade and domestic consumption of potatoes in Poland in 2001-2019. Problems of World Agriculture, 21(1), 33–51. (Pl) DOI: 10.22630/PRS.2021.21.1.3. Thorne, F. S. (2012). Potato prices as affected by supply and demand factors: an Irish case study. In: European Association of Agricultural Economists (EAAE)123rd Seminar, February 23-24, 2012, Dublin, Ireland. https://ageconsearch.umn.edu/record/122473. Toda, H. Y. & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. Umar, M. & Dahalan, J. (2016). An application of asymmetric Toda-Yamamoto causality on exchange rate-inflation differentials in emerging economies. International Journal of Economics and Financial Issues, 6(2), 420-426. Zapucioiu, L. F., Sterie, M. C. & Dumitru, E. A. (2023). Economic analysis of potato and tomato trade in Romania: The Gini coefficient. Western Balkan Journal of Agricultural Economics and Rural Development (WBJAERD), 5(1), 15-28. doi: 10.5937/WBJAE2301015Z. |
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| Date published: 2025-04-28
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