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Land price diffusion across borders – the case of Germany

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  • Aaron Grau
  • Martin Odening
  • Matthias Ritter

Abstract

Land market regulations are often justified by the assumption that activities of foreign and non-agricultural investors drive up prices in domestic land markets. However, empirical knowledge about the dynamics of agricultural land prices across borders is sparse. Using the German reunification as a natural experiment, we study the effect of the former inner German border on the dynamics of agricultural land prices in East and West Germany. We apply a land price diffusion model with an error correction specification to analyse spatial agricultural land markets. A novel feature of our model is its ability to distinguish price diffusion within states and across state borders. We provide evidence for a persistent border effect given that the fraction of spatially integrated counties is larger within states than across the former border. Moreover, we observe non-significant error correction terms for many counties along the former border. From a policy perspective, it is striking to realize that even 25 years after German reunification, pronounced land price differences persist. It is quite likely that price diffusion through existing borders within the EU would take even more time given language barriers, different institutional frameworks, and information asymmetries between domestic and foreign market participants.

Suggested Citation

  • Aaron Grau & Martin Odening & Matthias Ritter, 2020. "Land price diffusion across borders – the case of Germany," Applied Economics, Taylor & Francis Journals, vol. 52(50), pages 5446-5463, October.
    • Handle: RePEc:taf:applec:v:52:y:2020:i:50:p:5446-5463
    DOI: 10.1080/00036846.2019.1673299
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    Cited by:

    1. Lars Isenhardt & Stefan Seifert & Silke Hüttel, 2023. "Tenant Favoritism and Right of First Refusals in Farmland Auctions: Competition and Price Effects," Land Economics, University of Wisconsin Press, vol. 99(2), pages 302-324.
    2. Mateusz Tomal & Agata Gumieniak, 2020. "Agricultural Land Price Convergence: Evidence from Polish Provinces," Agriculture, MDPI, vol. 10(5), pages 1-20, May.
    3. Aaron Grau & Martin Odening & Matthias Ritter, 2020. "Land price diffusion across borders – the case of Germany," Applied Economics, Taylor & Francis Journals, vol. 52(50), pages 5446-5463, October.
    4. Barbara Kutkowska & Tomasz Szuk & Stanislaw Minta & Hanna Adamska, 2024. "Land productivity in the EU in the context of financial support through direct subsidies," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(9), pages 436-445.
    5. Grau, Aaron & Jasic, Svetlana & Ritter, Matthias & Odening, Martin, 2019. "The impact of production intensity on agricultural land prices," FORLand Working Papers 09 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    6. Seifert, Stefan & Hüttel, Silke, 2020. "Common values and unobserved heterogeneity in farmland auctions in Germany," FORLand Working Papers 21 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    7. Marques, Felipe César & Telles, Tiago Santos, 2023. "Spatial effects are determinants of agricultural land prices in Brazil," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 61(3), January.
    8. Emma Bruno & Rosalia Castellano & Gennaro Punzo & Luca Salvati, 2023. "Towards diverging land prices in agricultural districts? Evidence from Italy before and after the great crisis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(3), pages 119-127.

    More about this item

    JEL classification:

    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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