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Increase in the Value of Agricultural Parcels—Modelling and Simulation of the Effects of Land Consolidation Project

Mariusz Dacko (), Tomasz Wojewodzic (), Jacek Pijanowski (), Jarosław Taszakowski (), Aneta Dacko () and Jarosław Janus ()
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Mariusz Dacko: Department of Economics and Food Economy, University of Agriculture in Krakow, al. Mickiewicza 21, 31-120 Krakow, Poland
Tomasz Wojewodzic: Department of Economics and Food Economy, University of Agriculture in Krakow, al. Mickiewicza 21, 31-120 Krakow, Poland
Jacek Pijanowski: Department of Agricultural Land Surveying, Cadastre and Photogrammetry, University of Agriculture in Krakow, ul Balicka 253 a, 30-198 Krakow, Poland
Jarosław Taszakowski: Department of Agricultural Land Surveying, Cadastre and Photogrammetry, University of Agriculture in Krakow, ul Balicka 253 a, 30-198 Krakow, Poland
Aneta Dacko: Department of Agricultural Land Surveying, Cadastre and Photogrammetry, University of Agriculture in Krakow, ul Balicka 253 a, 30-198 Krakow, Poland
Jarosław Janus: Department of Agricultural Land Surveying, Cadastre and Photogrammetry, University of Agriculture in Krakow, ul Balicka 253 a, 30-198 Krakow, Poland

Agriculture, 2021, vol. 11, issue 5, 1-14

Abstract: In the theory and practice of valuation, it is commonly accepted that the key feature determining the value of agricultural land is its location, both general and in a specific part (zone) of a village. The model approach used in the present study can provide the answer to the question of how to maximize the value of agricultural land as part of a conducted arrangement, agricultural works. The study used data on the market sale of agricultural parcels in 10 Polish municipalities. Each parcel was described using a set of features (parameters) that were key to its value and entered into a database. Using the database, two statistical models were built: a multiple regression analysis model (MRA) and an artificial neural network model (ANN). The studies conducted have shown that changes in such features as surface area, shape, and access to a public road were accompanied by significant changes in the market values of parcels. Another important observation was that potential decreases in the value of agricultural parcels as a result of changes in their surface areas were offset (where it was reasonable) by the elimination of their excessive elongation and providing them with an access to a public road. Based on the findings, it has been concluded that change in land value should be considered one of the effects of executed land consolidation projects (LCP), during which the parameters of agricultural parcels are subject to the biggest changes.

Keywords: land value; parameters of agricultural parcels; rural area development; multiple regression analysis model (MRA); artificial neural network model (ANN); land consolidation projects (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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