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Study on the Evolution and Forecast of Agricultural Raw Material Exports in Emerging Economies in Central and Eastern Europe Using Statistical Methods

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  • Liviu Popescu

    (Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania)

  • Mirela Găman

    (Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania)

  • Laurențiu-Stelian Mihai

    (Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania)

  • Magdalena Mihai

    (Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania)

  • Cristian Ovidiu Drăgan

    (Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania)

Abstract

This study examines the evolution of agricultural raw material exports in seven emerging economies of Central and Eastern Europe (Romania, Poland, Slovakia, Croatia, Bulgaria, the Czech Republic, and Hungary) from 1995 to 2023 and provides forecasts for 2024–2026 using ARIMA models. The results indicate a general downward trend in the share of agricultural raw material exports within total exports, reflecting ongoing economic modernization and a structural shift toward higher value-added products and industrial sectors. Romania, Poland, and Hungary remain as significant players in the cereals market, while Slovakia and the Czech Republic show the most pronounced transitions toward non-agricultural industries. Croatia, however, follows an atypical trajectory, maintaining a relatively high share of agricultural exports. Statistical tests (Dickey–Fuller) confirm the non-stationarity of the initial series, necessitating differencing for ARIMA modeling. Correlation analyses reveal a synchronized regional dynamic, with strong links among Poland, Slovakia, the Czech Republic, and Bulgaria. Forecasts suggest continued decline or stabilization at low levels for most countries: Romania (0.45% in 2026), Poland (0.93%), Slovakia (0.62%), Bulgaria (0.51%), the Czech Republic (0.95%), and Hungary (0.53%), while Croatia is an exception, with a projected moderate increase to 4.19% in 2026. Although the share of raw agricultural exports is decreasing, the findings confirm that agriculture remains a strategic sector for food security and regional trade. The study recommends investments in processing, technological modernization, and export market diversification to strengthen the competitiveness and resilience of the agricultural sector in the context of global economic transformations.

Suggested Citation

  • Liviu Popescu & Mirela Găman & Laurențiu-Stelian Mihai & Magdalena Mihai & Cristian Ovidiu Drăgan, 2025. "Study on the Evolution and Forecast of Agricultural Raw Material Exports in Emerging Economies in Central and Eastern Europe Using Statistical Methods," Agriculture, MDPI, vol. 15(17), pages 1-32, August.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:17:p:1811-:d:1732190
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    References listed on IDEAS

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    1. Gilbert, John & Muchová, Eva, 2018. "Export competitiveness of Central and Eastern Europe since the enlargement of the EU," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 78-85.
    2. Andrzej Cieślik & Jan Jakub Michałek & Jerzy Mycielski, 2012. "Measuring the trade effects of the euro in Central and Eastern Europe," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 21(1), pages 25-49, November.
    3. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    4. Bilyana Petrova & Aleksandra Sznajder Lee, 2024. "The effect of European integration on economic redistribution in Central and Eastern Europe," European Union Politics, , vol. 25(1), pages 17-41, March.
    5. Nathan Sheets & Simona Boata, 1998. "Eastern European Export Performance During The Transition," Contemporary Economic Policy, Western Economic Association International, vol. 16(2), pages 211-226, April.
    6. Bilyana Petrova & Aleksandra Sznajder Lee, 2024. "Integrating with the Global Economy: The Evolution of the Export Profiles of the European Union’s Eastern Periphery (2000–2021)," Europe-Asia Studies, Taylor & Francis Journals, vol. 76(5), pages 696-719, May.
    7. Staszczak, Dariusz Eligiusz, 2022. "Changes of European Union Countries Positions in the International Trade of Raw Materials in 2016, 2019, and 2021. Importance for Agriculture," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2022(4).
    8. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    9. Jan Hagemejer & Jakub Mućk, 2019. "Export‐led growth and its determinants: Evidence from Central and Eastern European countries," The World Economy, Wiley Blackwell, vol. 42(7), pages 1994-2025, July.
    10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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