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Agricultural rent in land-use models: comparison of frequently used proxies

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  • Raja Chakir
  • Anna Lungarska

Abstract

Agricultural rent in land-use models: comparison of frequently used proxies. Spatial Economic Analysis. This paper compares the performance of econometric land-use models based on three proxies for agricultural land rent: farmers’ revenues, land prices and shadow land prices derived from a mathematical programming model. We consider different land-use classes (agriculture, pasture, forest, urban and other), different determinants (economic, physical and demographic) of land-use shares and different spatial econometric specifications. It is found that the inclusion of spatial components significantly improves the quality of predictions. In terms of economic interpretation, the shadow land prices provide the most stable and intuitive results.

Suggested Citation

  • Raja Chakir & Anna Lungarska, 2017. "Agricultural rent in land-use models: comparison of frequently used proxies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 279-303, July.
    • Handle: RePEc:taf:specan:v:12:y:2017:i:2-3:p:279-303
    DOI: 10.1080/17421772.2017.1273542
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    1. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    2. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (I): The Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 1, number fuss1978.
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    Cited by:

    1. Lungarska, Anna & Chakir, Raja, 2018. "Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation," Ecological Economics, Elsevier, vol. 147(C), pages 134-154.
    2. Edoardo Baldoni & Roberto Esposti, 2021. "Agricultural Productivity in Space: an Econometric Assessment Based on Farm‐Level Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1525-1544, August.
    3. Osseni, Abdel & Bareille, Francois & DUPRAZ, Pierre, "undated". "Decoupling Values Of Agricultural Externalities According To Scale: A Spatial Hedonic Approach In Brittany," 2018 Annual Meeting, August 5-7, Washington, D.C. 273998, Agricultural and Applied Economics Association.
    4. De Salvo, Maria & Capitello, Roberta & Gaudenzi, Barbara & Begalli, Diego, 2019. "Risk management strategies and residual risk perception in the wine industry: A spatial analysis in Northeast Italy," Land Use Policy, Elsevier, vol. 83(C), pages 47-62.
    5. António Xavier & Rui Fragoso & Maria De Belém Costa Freitas & Maria Do Socorro Rosário & Florentino Valente, 2018. "A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level," Land, MDPI, vol. 7(2), pages 1-16, May.
    6. Rémi Prudhomme & Raja Chakir & Anna Lungarska & Thierry Brunelle & Narayanappa Devaraju & Nathalie de Noblet & Pierre-Alain Jayet & Stéphane De Cara & Jean-Christophe Bureau, 2022. "Food, climate and biodiversity: a trilemma of mineral nitrogen use in European agriculture," Review of Agricultural, Food and Environmental Studies, Springer, vol. 103(3), pages 271-299, September.
    7. Wojciech Sroka & Dariusz Żmija, 2021. "Farming Systems Changes in the Urban Shadow: A Mixed Approach Based on Statistical Analysis and Expert Surveys," Agriculture, MDPI, vol. 11(5), pages 1-29, May.
    8. Pierre-Alain Jayet & Athanasios Petsakos & Raja Chakir & Anna Lungarska & Stéphane De Cara & Elvire Petel & Pierre Humblot & Caroline Godard & David Leclère & Pierre Cantelaube & Cyril Bourgeois & Mél, 2025. "The European agro-economic model AROPAj," Working Papers hal-04109872, HAL.
    9. Christine Thomas-Agnan & Thibault Laurent & Anne Ruiz-Gazen & Thi Huong An Nguyen & Raja Chakir & Anna Lungarska, 2021. "Spatial Simultaneous Autoregressive Models for Compositional Data: Application to Land Use," Springer Books, in: Peter Filzmoser & Karel Hron & Josep Antoni Martín-Fernández & Javier Palarea-Albaladejo (ed.), Advances in Compositional Data Analysis, pages 225-249, Springer.
    10. Anna Lungarska & Raja Chakir & Nosra Ben Fradj & Pierre Alain Jayet & Laure Bamière & Ancuta Isbasoiu & Maxime Ollier & Eva Gossiaux & Ines Chiadmi & Stéphane de Cara & Salomé Kahindo, 2020. "Integrated approach to animal and plant production in an economic model for the analysis of agriculture-environment interactions [Approche intégrée des productions animales et végétales dans un modèle économique pour l’analyse des interactions agr," Post-Print hal-03161714, HAL.
    11. Zhu, Xuemin & Long, Yizhu & Zhang, Han, 2025. "Impact of carbon policies on forest carbon sequestration supply at intensive and extensive margins," Forest Policy and Economics, Elsevier, vol. 181(C).
    12. Bayramoglu, Basak & Chakir, Raja & Lungarska, Anna, "undated". "Land Use and Freshwater Ecosystems in France," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261440, European Association of Agricultural Economists.

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