2020
DOI: 10.1093/erae/jbaa019
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What drives competition on the farmland market? A case study in Brittany (France)

Abstract: We investigate factors which may drive the number of agents who compete for a specific piece of farmland in the French region of Brittany by fitting count models to data originating from a local committee, the CDOA, which is responsible for guidance in delivering the necessary “authorisations to farm”. Results are analysed in the light of a conceptual framework which provides an explanation why the subset of farmers who actually apply for an authorisation to farm may differ from the whole set of potential appl… Show more

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Cited by 6 publications
(3 citation statements)
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“…for instance, high-quality soils attract more bidders with a higher willingness to pay, a known factor in Saxony-Anhalt (e.g., Seifert, Kahle, and Hüttel 2021). Likewise, larger lots with a higher share of arable land attract more bidders and achieve higher prices (Ritter et al 2020;Piet, Melot, and Diop 2021). Farmer bidders may benefit from economies of scale by larger plots, and non-farmer buyers intending to generate income from leasing the purchased land may benefit from finding solvent farmer-tenants at a lower cost (Hüttel et al 2020;Curtiss et al 2021).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…for instance, high-quality soils attract more bidders with a higher willingness to pay, a known factor in Saxony-Anhalt (e.g., Seifert, Kahle, and Hüttel 2021). Likewise, larger lots with a higher share of arable land attract more bidders and achieve higher prices (Ritter et al 2020;Piet, Melot, and Diop 2021). Farmer bidders may benefit from economies of scale by larger plots, and non-farmer buyers intending to generate income from leasing the purchased land may benefit from finding solvent farmer-tenants at a lower cost (Hüttel et al 2020;Curtiss et al 2021).…”
Section: Discussionmentioning
confidence: 99%
“…In the empirical specification we shift both competition measures by one to the left to account for the support of the negative binomial distribution that has a positive probability of values being zero. This approach is commonly used when analyzing auction count data that structurally exclude zero observations (Jaggia and Thosar 1993;Hattori 2010;Piet, Melot, and Diop 2021).…”
Section: Two-step Proceduresmentioning
confidence: 99%
“…Rising farmland prices in Saxony-Anhalt and many other regions (Bigelow et al, 2020;Odening and H€ uttel, 2020) have been traced back to, among others, increased competition due to increasing demand by investors (Piet et al, 2021), capitalization of agricultural policy (e.g. Moss and Katchova, 2005;Feichtinger and Salhofer, 2013), and increasing measures for renewable energy policy (e.g.…”
Section: Discussionmentioning
confidence: 99%