The Impact of the Input-Output Price Ratio on the Profitability of Hungarian Agricultural Enterprises Between 2007 and 2021
DOI:
https://doi.org/10.33568/rbs.6495Keywords:
prices, agricultural profitability, subsidyAbstract
This research focuses on the link between the input-output price ratio and agricultural profitability. Analyzing agricultural profitability is a key issue for the development of the sector, with one of its most important components being the evolution of the agricultural price index. This research presents an analysis of the agricultural price ratio in the recent period, with a focus on the correlations between production direction and profits. The study analyses Hungarian agricultural enterprises on the basis of the agricultural price indices of the Hungarian Central Statistical Office (HCSO) and uses data from the agricultural price index and the agricultural database of the Test Farm Information System operated by the Agricultural Economics Research Institute. The analysis works with statistically validated data from 2007 to 2021. Based on our results, changes in input-output prices are a good predictor of the profitability rate of farmers in the current and future years. This provides an opportunity to optimally allocate agricultural subsidies and to strengthen the loss-compensation effect.
References
AKI (2024). Farm Accountancy Data Network (FADN): agricultural database of the Test Farm Information System operated by the Agricultural Economics Research Institute. https://www.aki.gov.hu/tesztuzemi-informacios-rendszer/#fadn
Bakucs, Z., Fałkowski, J., & Fertő, I. (2014). Does Market Structure Influence Price Transmission in the Agro-food Sector? A Meta-analysis Perspective. Journal of Agricultural Economics, 65(1), 1–25. http://doi.org/10.1111/1477-9552.12042
Bareith, T., & Csonka, A. (2022). Dynamics of Competition in the Hungarian Poultry Industry. AGRIS online Papers in Economics and Informatics, 14(2), 15–29. http://doi.org/10.7160/aol.2022.140202
Chen, D., Gummi, U. M., Lu, S. B., & Muazu, A. (2020). Modelling the impact of oil price fluctuations on food price in high and low-income oil exporting countries. Agricultural Economics (Zemědělská Ekonomika), 66(10), 458–468. https://doi.org/10.17221/197/2020-AGRICECON
Chen, Y., Turnovsky, S. J., & Zivot, E. (2014). Forecasting inflation using commodity price aggregates. Journal of Economics, 183(1), 117–134. https://doi.org/10.1016/j.jeconom.2014.06.013
Esposti, R., & Listorti, G. (2013). Agricultural price transmission across space and commodities during price bubbles. Agricultural Economics, 44(1), 125–139. https://doi.org/10.1111/j.1574-0862.2012.00636.x
Frimpong, S., Gyamfi, E. N., Ishaq, Z., Kwaku Agyei, S., Agyapong, D., & Adam, A. M. (2021). Can global economic policy uncertainty drive the interdependence of agricultural commodity prices? Evidence from partial wavelet coherence analysis. Complexity, 2021(1), https://doi.org/10.1155/2021/8848424
Gardebroek, C., Hernandez, M. A., & Robles, M. (2016). Market interdependence and volatility transmission among major crops. Agricultural Economics, 47(2), 141–155. https://doi.org/10.1111/agec.12184
Hudecová, K., & Rajčániová, M. (2023). The impact of geopolitical risk on agricultural commodity prices. Agricultural Economics, (Zemědělská Ekonomika), 69(4), 129–139. https://doi.org/10.17221/374/2022-AGRICECON
Koirala, K. H., Mishra, A. K., D'Antoni, J. M., & Mehlhorn, J. E. (2015). Energy prices and agricultural commodity prices: testing correlation using copulas method. Energy, 81, 430–436. https://doi.org/10.1016/j.energy.2014.12.055
HCSO (2020). The performance of domestic agriculture in 2020 (Agricultural accounting system). https://www.ksh.hu/docs/hun/xftp/idoszaki/mgszlak/2020_2/index.html
HCSO (2024). 1.1.1.2 Consumer price index by main consumption groups and the pensioner consumer price index and 1.1.1.11 Agricultural price indices and the agricultural price index. https://www.ksh.hu/stadat_files/ara/hu/ara0011.html
HCSO (2023). The performance of domestic agriculture in 2020. https://www.ksh.hu/s/kiadvanyok/a-hazai-mezogazdasag-teljesitmenye-2023-ban-mezogazdasagi-szamlarendszer-2023/index.html
Milics, G., Matečný, I., Magyar, F., & Varga, P. M. (2022). Data-based agriculture in the V4 countries – sustainability, efficiency and safety. Scientia et Securitas, 2(4), 491–503. https://doi.org/10.1556/112.2021.00072
Tule, M. K., Salisu, A. A., & Chiemeke, C. C. (2019). Can agricultural commodity prices predict Nigeria's inflation? Journal of Commodity Markets, 16, 100087, https://doi.org/10.1016/j.jcomm.2019.02.002
Perekhozhuk, O., & Glauben, T., (2017). Russian food and agricultural import ban: The impact on the domestic market for cattle, pork and poultry. Discussion Paper 170. Leibniz Institute of Agricultural Development in Transition Economies (IAMO), https://www.econstor.eu/bitstream/10419/173256/1/1011426110.pdf
Pourroy, M. Carton, B. & Coulibaly D. (2016). Food prices and inflation targeting in emerging economies. International Economics, 146, 108–140. https://doi.org/10.1016/j.inteco.2015.12.001
Rafiq, S., & Bloch, H. (2016). Explaining commodity prices through asymmetric oil shocks: evidence from nonlinear models. Resources Policy, 50, 34–48. https://doi.org/10.1016/j.resourpol.2016.08.005
Sensoy, A., Hacihasanoglu, E., & Nguyen, D. K. (2015). Dynamic convergence of commodity futures: not all type of commodities are alike. Resources Policy, 44, 150–160. https://doi.org/10.1016/j.resourpol.2015.03.001
Szerb, A. B., Csonka, A., & Ferto, I. (2022). Regional trade agreements, globalization, and global maize exports. Agricultural Economics, (Zemědělská Ekonomika), 68(10), 371–379. https://doi.org/10.17221/202/2022-AGRICECON
Wheeler, T., & Braun, J. V. (2013). Climate change impacts on global food security. Science, 341(6145), 508–513. https://doi.org/10.1126/science.1239402
Zhang, C., & Qu, X. (2015). The effect of global oil price shocks on China's agricultural commodities. Energy Econmies, 51, 354–364. https://doi.org/10.1016/.eneco.2015.07.012
Zmami, M., & Ben-Salha, O. (2023). What factors contribute to the volatility of food prices? New global evidence. Agricultural Economics, (Zemědělská Ekonomika), 69(5), 171–184. https://doi.org/10.17221/99/2023-AGRICECON
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