IDEAS home Printed from https://ideas.repec.org/p/zbw/forlwp/032018.html
   My bibliography  Save this paper

Land price diffusion across borders: The case of Germany

Author

Listed:
  • Grau, Aaron
  • Odening, Martin
  • Ritter, Matthias

Abstract

Land market regulations are often justified by the assumption that activities of foreign and non-agricultural investors drive up land prices in countries with low land price levels. 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 that estimates to what extent agricultural land markets are spatially integrated. A novel feature of our model is its ability to distinguish price diffusion within states and across state borders. We find that local agricultural land markets in Germany are linked by a long-run equilibrium relationship. Spatial market integration, however, does not hold among all counties in our study area. Regarding our main research question, 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 administrative procedures for land acquisitions, different tax systems, and information asymmetries between domestic and foreign market participants.

Suggested Citation

  • Grau, Aaron & Odening, Martin & Ritter, Matthias, 2018. "Land price diffusion across borders: The case of Germany," FORLand Working Papers 03 (2018), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
  • Handle: RePEc:zbw:forlwp:032018
    DOI: 10.18452/19263
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/213057/1/FORLand-2018-03.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.18452/19263?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Waights, Sevrin, 2018. "Does the law of one price hold for hedonic prices?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 55(15), pages 3299-3317.
    3. Stephen J. Redding & Daniel M. Sturm, 2008. "The Costs of Remoteness: Evidence from German Division and Reunification," American Economic Review, American Economic Association, vol. 98(5), pages 1766-1797, December.
    4. Hiebert, Paul & Roma, Moreno, 2010. "Relative house price dynamics across euro area and US cities: convergence or divergence?," Working Paper Series 1206, European Central Bank.
    5. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    6. Andrew Abbott & Glauco De Vita, 2013. "Testing for long-run convergence across regional house prices in the UK: a pairwise approach," Applied Economics, Taylor & Francis Journals, vol. 45(10), pages 1227-1238, April.
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. Xinyue Yang & Martin Odening & Matthias Ritter, 2019. "The Spatial and Temporal Diffusion of Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 95(1), pages 108-123.
    9. Roel Helgers & Erik Buyst, 2016. "Spatial and Temporal Diffusion of Housing Prices in the Presence of a Linguistic Border: Evidence from Belgium," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 92-122, March.
    10. Lehn, Friederike & Bahrs, Enno, 2018. "Analysis of factors influencing standard farmland values with regard to stronger interventions in the German farmland market," Land Use Policy, Elsevier, vol. 73(C), pages 138-146.
    11. Juan Carmona & Joan R. Rosés, 2012. "Land markets and agrarian backwardness (Spain, 1904-1934)," European Review of Economic History, European Historical Economics Society, vol. 16(1), pages 74-96, February.
    12. Johan Swinnen & Kristine Van Herck & Liesbet Vranken, 2016. "The Diversity of Land Markets and Regulations in Europe, and (some of) its Causes," Journal of Development Studies, Taylor & Francis Journals, vol. 52(2), pages 186-205, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Mateusz Tomal & Agata Gumieniak, 2020. "Agricultural Land Price Convergence: Evidence from Polish Provinces," Agriculture, MDPI, vol. 10(5), pages 1-20, May.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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".
    2. Xinyue Yang & Martin Odening & Matthias Ritter, 2019. "The Spatial and Temporal Diffusion of Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 95(1), pages 108-123.
    3. Mateusz Tomal & Agata Gumieniak, 2020. "Agricultural Land Price Convergence: Evidence from Polish Provinces," Agriculture, MDPI, vol. 10(5), pages 1-20, May.
    4. Gong, Yunlong & Hu, Jinxing & Boelhouwer, Peter J., 2016. "Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 103-117.
    5. 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.
    6. 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.
    7. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.
    8. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    9. Ritter, Matthias & Yang, Xinyue & Odening, Martin, 2017. "Spatial integration of agricultural land markets," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261430, European Association of Agricultural Economists.
    10. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    11. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2021. "A regional decomposition of US housing prices and volume: market dynamics and Portfolio diversification," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 279-307, April.
    12. Hernán Enríquez Sierra & Jacobo Campo Robledo & Antonio Avendaño Arosemena, 2015. "Relaciones regionales en los precios de vivienda nueva en Colombia," Revista Ecos de Economía, Universidad EAFIT, vol. 19(40), pages 25-47, June.
    13. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Floros, Christos, 2015. "Dynamic Connectedness of UK Regional Property Prices," MPRA Paper 68421, University Library of Munich, Germany.
    14. Xiandeng Jiang & Le Chang & Yanlin Shi, 2023. "Housing price diffusions in mainland China: evidence from a spatially penalized graphical VAR model," Empirical Economics, Springer, vol. 64(2), pages 765-795, February.
    15. Ryan R. Brady, 2021. "Direct Forecasting for Applied Regional Analysis," Departmental Working Papers 67, United States Naval Academy Department of Economics.
    16. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
    17. Nikolaos Antonakakis & Ioannis Chatziantoniou & Christos Floros & David Gabauer, 2018. "The dynamic connectedness of UK regional property returns," Urban Studies, Urban Studies Journal Limited, vol. 55(14), pages 3110-3134, November.
    18. Christian Reiner & Robert Musil, 2023. "The regional variation of a housing boom. Disparities of land prices in Austria, 2000–2018 [Die regionale Differenzierung eines Immobilien-Booms. Disparitäten der Baulandpreise in Österreich, 2000–," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(1), pages 125-146, April.
    19. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2019. "A Regional Decomposition of US Housing Prices and Volume: Market Dynamics and Economic Diversification Opportunities," Working Papers in Economics & Finance 2019-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    20. Karolien De Bruyne & Jan Van Hove, 2013. "Explaining the spatial variation in housing prices: an economic geography approach," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1673-1689, May.

    More about this item

    Keywords

    Agricultural land markets; price diffusion; spatial dependence; border effect;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:forlwp:032018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iahubde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.