Forecasting the directions of the EU sugar market development after limiting government intervention
DOI:
https://doi.org/10.12775/EiP.2022.016Keywords
sugar market, government intervention, sugar quotas, forecastingAbstract
Motivation: The EU sugar industry is one of the most regulated industry which is subject to import duties, subsidies and quotas. Government intervention in sugar markets significantly affects sugar production, consumption and trade. The GATT/WTO negotiations led to the commencement of the liberalization process in the EU sugar market, and initiated a number of reforms aimed at abolishing government support. Consequently, the sugar market in the EU has undergone considerable changes. Proper recognition of the directions of changes will contribute to reducing the difficulties of entities operating on the global sugar market.
Aim: The purpose of this publication is to present the forecasts made in 2017 regarding the main categories characterizing the EU sugar market and to verify their validity following the analysis of the actual data. The work uses the forecasts made for 2017–2020 based on empirical data collected from 1993–2016, and then verifies their validity when set against the real data.
Results: The results of the research showed that statistical models are not able to predict correctly not only the forecasted values, but also the directions of their changes. The range of indicators of forecast errors was almost 40 percentage points, which reduced their credibility. The Pearson correlation index of over 0.7 indicated a significant correlation between the real data and the forecast values for the consumption or sugar beet harvest, while interpreting the discrepancy coefficient index, which did not exceed 1 for the forecast of the sugar production volume. This allows to conclude that this forecast shows the smallest differentiation in comparison to the actual data obtained.
References
Adenäuer, M. (2008). CAPRI versus AGLINK–COSIMO: two partial equilibrium models, two baseline approaches. Retrieved 05.09.2021 from https://ageconsearch.umn.edu/bitstream/44120/2/268.pdf.
Borrel, B., & Duncan, R. (1992). A survey of the costs of world sugar policies. The World Bank Research Observer, 7(2), 171–194, https://doi.org/10.1093/wbro/7.2.171.
Budzyńska, A., & Chojnacki, P. (2018). Competitiveness of EU dairy industry in the global market after the abolition of milk quotas. In K.S. Soliman (Ed.), Innovation management and education excellence through vision 2020. Proceedings of the 31st International Business Information Management Association Conference (pp. 2778–2788). International Business Information Management Association.
Chudasama, A. (2016). EU reform has made the sugar industry globally competitive. International Sugar Journal, 118(1412), 537.
European Commission DG Agriculture and Rural Development. (2011). Evaluation of CAP measures applied to the sugar sectors. Retrieved 05.09.2021 from https://op.europa.eu/en/publication-detail/-/publication/68ab35fb-06d0-4d0c-bedd-83e66543a39f.
European Commission. (2013). Prospects for agricultural markets and income in the EU 2013–2023. Retrieved 05.09.2021 from http://eurocarne.com/daal/a1/informes/a2/previsionesUE2013-2023.pdf.
European Court of Auditors. (2010). Has the reform of the sugar market achieved its main objectives. https://doi.org/10.2865/41975.
Gohin, A., & Bureau, J. (2006). Modelling the EU sugar supply to assess sectoral policy reforms. European Review of Agricultural Economics, 33(2), 223–247. https://doi.org/10.1093/erae/jbl006.
Grabowski, W., & Welfe, A. (2011). Global stability of dynamic models. Economic Modelling, 28(3), 782–784. https://doi.org/10.1016/j.econmod.2010.10.011.
Hass, M. (2018). The abolition of the EU sugar quota system and its consequences. Aktuelle Ernahrungsmedizin, 43(1), S32–S36. https://doi.org/10.1055/a-0659-6983.
Hogan, P. (2017). EU sugar quota system comes to an end. Retrieved 05.09.2021 from https://ec.europa.eu/commission/presscorner/detail/en/IP_17_3487.
International Confederation of European Beet Growers. (2015). European sugar beet growers united to face difficult times. Retrieved 18.02.2022 from https://www.cibe-europe.eu/img/user/061-15%20CIBE%20Press%20release%205%20June%202015%20final-1.pdf.
Kuzmenko, E., Smutka, L., Strielkowski, W., Streimikis, J., & Streimikiene, D. (2020). Cointegration analysis of the world’s sugar market: the existence of the long-term equilibrium. E&M Ekonomie a Management, 23(4), 23–38. https://doi.org/10.15240/tul/001/2020-4-002.
Maitah, M., Rezbova, H., Smutka, L., & Tomsik, K. (2016). European sugar production and its control in the world market. Sugar Tech, 18(3), 236–241. https://doi.org/10.1007/s12355-016-0439-9.
Nolte, S., Buysse, J., van Huylenbroeck, G. (2012). Modelling the effects of an abolition of the EU sugar quota on internal prices, production and imports. European Review of Agricultural Economics, 39(1), 75–94. https://doi.org/10.1093/erae/jbr043.
Pechrova, M., & Simpach, O. (2017). Modelling the development of the consumer price of sugar. In P. Prazak (Ed.), Mathematical methods in economics (pp. 527–531). University of Hradec.
Regulation No 1009/67/EEC of the Council of 18 December 1967 on the common organisation of the market in sugar (OJ 308, 18.12.1967).
Smutka, L., Pulkrabek, J., & Benesova, I. (2014). Current state of world sugar market. Listy Cukrovarnicke a Reparske, 130(2), 70–77.
Soare, E., & Chiurciu, I. (2016). Study on the production and commercialization of the sugar beet at national level and by region of development in Romania. Scientific Papers: Series Management Economic Engineering in Agriculture and Rural Development, 16(4), 327–332.
van Berkum, S., Roza, P., & van Tongeren, F. (2005). Impacts of the EU sugar policy reforms on developing countries. Retrieved 05.09.2021 from https://www.researchgate.net/profile/Siemen_Van_Berkum/publication/23508200_Impacts_of_the_EU_sugar_policy_reforms_on_developing_countries/links/0912f5123d91582e7f000000/Impacts-of-the-EU-sugar-policy-reforms-on-developing-countries.pdf.
Xinqiang, C., Huixing, C., Yongsheng, Y., Huafeng, W., Wenhui, Z., Jiansen, Z., & Yong, X. (2021). Traffic flow prediction by an ensemble framework with data denoising and deep learning model. Physica A: Statistical Mechanics and its Applications, 565, 125574. https://doi.org/10.1016/j.physa.2020.125574.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Anna Budzyńska, Mirosław Urbanek
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Stats
Number of views and downloads: 1062
Number of citations: 0