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Assessing the Socio-Economic and Natural Factors Shaping Türkiye’s Virtual Land Trade Balance

Author

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  • Saliha Çelik

    (Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences, Osmaniye Korkut Ata University, Osmaniye 80000, Turkey)

  • Harun Uçak

    (Department of Economics, Faculty of Economics, Administrative and Social Sciences, Alanya Alaaddin Keykubat University, Alanya 07425, Turkey)

Abstract

Agricultural trade not only facilitates the exchange of final products but also leads to the indirect transfer of arable land resources involved in their production processes across countries. These indirect flows are commonly referred to in the literature as virtual land flows or virtual land trade. An in-depth understanding of the factors influencing virtual land flows is crucial for both the management of these flows and the sustainable and efficient allocation of limited arable land resources on a global scale. The objective of this study is to identify the key determinants that influence virtual land flows in Türkiye’s trade of plant-based agricultural products. To achieve this, the virtual land trade balance for Türkiye was computed by estimating the import and export volumes of virtual land from 1986 to 2019, based on crop, year, and country-specific yield values. Subsequently, the relationship between Türkiye’s virtual land trade balance and macroeconomic and environmental variables—such as Gross Domestic Product (GDP), the real effective exchange rate, annual total precipitation, per capita arable land, and fertilizer usage—was investigated using the ARDL bounds testing approach. The findings of this study indicate that the most significant factors influencing Türkiye’s virtual land flows are per capita arable land endowment and fertilizer usage. This result highlights the strong relationship between virtual land flows and variables related to productivity and natural resource endowment, while also emphasizing the importance of integrating sustainability considerations and environmental impacts into contemporary agricultural policy frameworks. Elucidating the dynamics of virtual land trade is a pivotal step toward ensuring the long-term sustainability of international agricultural trade, as well as the equitable and efficient allocation of arable land resources. Furthermore, it represents a fundamental strategy for global agricultural production, offering critical insights for shaping future agricultural policy and practice at the global level.

Suggested Citation

  • Saliha Çelik & Harun Uçak, 2025. "Assessing the Socio-Economic and Natural Factors Shaping Türkiye’s Virtual Land Trade Balance," Sustainability, MDPI, vol. 17(17), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:8034-:d:1743690
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    References listed on IDEAS

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    1. Xia, Wenjun & Chen, Xiaohong & Song, Chao & Pérez-Carrera, Alejo, 2022. "Driving factors of virtual water in international grain trade: A study for belt and road countries," Agricultural Water Management, Elsevier, vol. 262(C).
    2. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    3. Perron, Pierre, 1988. "Trends and random walks in macroeconomic time series : Further evidence from a new approach," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 297-332.
    4. Meina Zhou & Junying Wang & Hao Ji, 2023. "Virtual Land and Water Flows and Driving Factors Related to Livestock Products Trade in China," Land, MDPI, vol. 12(8), pages 1-20, July.
    5. Imam Alam & Rahim Quazi, 2003. "Determinants of Capital Flight: An econometric case study of Bangladesh," International Review of Applied Economics, Taylor & Francis Journals, vol. 17(1), pages 85-103.
    6. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    7. Qiang, Wenli & Niu, Shuwen & Liu, Aimin & Kastner, Thomas & Bie, Qiang & Wang, Xiang & Cheng, Shengkui, 2020. "Trends in global virtual land trade in relation to agricultural products," Land Use Policy, Elsevier, vol. 92(C).
    8. Anil K. Lal & Thomas C. Lowinger, 2002. "The J-Curve: Evidence from East Asia," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 17, pages 397-415.
    9. Martey, Edward & Kuwornu, John K.M. & Adjebeng-Danquah, Joseph, 2019. "Estimating the effect of mineral fertilizer use on Land productivity and income: Evidence from Ghana," Land Use Policy, Elsevier, vol. 85(C), pages 463-475.
    10. Wurtenberger, Laura & Koellner, Thomas & Binder, Claudia R., 2006. "Virtual land use and agricultural trade: Estimating environmental and socio-economic impacts," Ecological Economics, Elsevier, vol. 57(4), pages 679-697, June.
    11. Bahmani-Oskooee, Mohsen, 1991. "Is there a long-run relation between the trade balance and the real effective exchange rate of LDCs?," Economics Letters, Elsevier, vol. 36(4), pages 403-407, August.
    12. Pavel Krasilnikov & Miguel Angel Taboada & Amanullah, 2022. "Fertilizer Use, Soil Health and Agricultural Sustainability," Agriculture, MDPI, vol. 12(4), pages 1-5, March.
    13. Allan, Tony, 1999. "Productive efficiency and allocative efficiency: why better water management may not solve the problem," Agricultural Water Management, Elsevier, vol. 40(1), pages 71-75, March.
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