Influence of Agricultural Support on Sale Prices of French Farmland: A comparison of different subsidies, accounting for the role of environmental and land regulations. Factor Markets Working Document No. 51, June 2013

This paper investigates the determinants of agricultural land price in several regions in France over the period 1994-2011, using individual plot transaction data, with a particular emphasis on agricultural subsidies and nitrate zoning regulations. It found a positive but relatively small capitalisation effect of the total subsidies per hectare. The data revealed that agricultural subsidies capitalised, at least to some extent, but the magnitude of such a capitalisation depends on the region considered, on the type of subsidy considered, and on the location of the plot in a nitrate surplus zone or not. Only land set-aside premiums significantly capitalise into land price, while single farm payments have a significant positive capitalisation impact only for plots located in a nitrate-surplus zone.

The Role of Environmental and Land Transaction Regulations on Agricultural Land Price: The example of Brittany. Factor Markets Working Document No. 52, June 2013

Using data from individual transactions for the period 1994-2010 in the French NUTS2 region Brittany, the authors investigated how environmental regulations and transaction land regulations influence the price of sold plots. Regressions on three sub-samples of buyers were performed in order to assess whether different buyers have different attitudes or plans regarding the farmland purchased: a sub-sample including only farmer-buyers, a sub-sample including non-farmer individual buyers, and a sub-sample including non-farmer non-individual buyers. Estimations were performed ignoring and accounting for spatial interactions (model SARAR). Results indicate that the price of land decreases when buyers are farmers, that the nitrate surplus area zoning increases the price of land, even more so for farmer-buyers. Regarding land transaction regulations, there is a negative effect, on land price, of the purchaser being the current tenant or being the land regulating public body SAFER. Estimating the model on different sub-samples depending on the buyers’ type shed light on the factors that are more important for each buyer.