Assessing whether the best land is cultivated first: A quantile analysis

Brunelle Thierry, Makowski David. 2020. Assessing whether the best land is cultivated first: A quantile analysis. PloS One, 15 (12):e0242222, 15 p.

Quartile : Q2, Sujet : MULTIDISCIPLINARY SCIENCES

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie; Staps

Résumé : Classical land rent theories imply that the best land is cultivated first. This principle forms the basis of many land-use studies, but empirical evidence remains limited, especially on a global scale. In this paper, we estimate the effects of agricultural suitability and market accessibility on the spatial allocation of cultivated areas at a 30 arc-min resolution in 15 world regions. Our results show that both determinants often have a significant positive effect on the cropland fraction, but with large variations in strength across regions. Based on a quantile analysis, we find that agricultural suitability is the dominant driver of cropland allocation in North America, Middle East and North Africa and Eastern Europe, whereas market accessibility shows a stronger effect in other regions, such as Western Africa. In some regions, such as South and Central America, both determinants have a limited effect on cropland fraction. Comparison of high versus low quantile regression coefficients shows that, in most regions, densely cropped areas are more sensitive to agricultural suitability and market accessibility than sparsely cropped areas.

Mots-clés Agrovoc : terre cultivée, loyer foncier, bonnes pratiques agricoles, utilisation des terres, aptitude des terres, subdivision des terres, accès au marché

Mots-clés libres : Land rent theories, Cropland, Agricultural suitability, Market accessibility

Classification Agris : E11 - Économie et politique foncières
E10 - Économie et politique agricoles

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Auteurs et affiliations

• Brunelle Thierry, CIRAD-ES-UMR CIRED (FRA) ORCID: 0000-0001-5350-8332 - auteur correspondant
• Makowski David, AgroParisTech (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/597271/)

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