Predicting land use allocation in France: A spatial panel data analysis

Chakir, Raja; Gallo, Julie Le

doi:10.1016/j.ecolecon.2012.04.009

Cited by 78 publications

(38 citation statements)

References 25 publications

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“…This site is characterized by a Mediterranean mountain climate with important annual rainfall and a low soil water holding capacity. In Europe, forest is often located on poor soils, where no profitable agriculture is possible (Chakir and Le Gallo 2013). Our study site is therefore representative of the growth conditions that will face the C. atlantica stands recently introduced in the northern Mediterranean zone and the temperate French territory in order to adapt forest to climate change.…”

Section: Resultsmentioning

confidence: 99%

The effects of thinning intensity and tree size on the growth response to annual climate in Cedrus atlantica: a linear mixed modeling approach

Guillemot

Klein

Davi

et al. 2015

Annals of Forest Science

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Section: Resultsmentioning

confidence: 99%

The effects of thinning intensity and tree size on the growth response to annual climate in Cedrus atlantica: a linear mixed modeling approach

Guillemot

Klein

Davi

et al. 2015

Annals of Forest Science

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“…Changes in land use patterns significantly affect both the environment (biodiversity, water pollution, soil erosion, and climate change) and economic and social welfare [9].…”

Section: Introductionmentioning

confidence: 99%

Sugarcane expansion and farmland prices in São Paulo State, Brazil

et al. 2018

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Background: Brazil is the world's largest sugarcane producer, and its production is concentrated in south-central and northeast regions, particularly in the state of São Paulo. The land use change, principally from the increasing sugarcane production, may reflect in the farmland prices. The aim of this study is to evaluate the extent to which agricultural land prices in São Paulo are determined by variations in cultivation and prices of three products that represent a significant share of agriculture in the state: sugarcane, soy and corn, in a low-inflation environment. Methods:Analysis is based on data from the Rural Development Offices (EDR) from 1997 to 2013. A simple panel data model is constructed with land price as the dependent variable, subdivided, according to the definition of the São Paulo State Institute of Agricultural Economics, into first-and second-class croplands. Cultivation area, unit price of the products, and lease value are explanatory variables, according to each crop. Inflation and the overall production value of São Paulo's farming production, excluding the production values of corn, soy and sugarcane, also serve as explanatory variables. Results:The results show that in São Paulo, although part of the land price variation can be explained by the variables associated with their productive use, the impact of inflation indicates that land's function in storing value contributes significantly to land prices. Conclusions:The most prominent conclusion is that expansion in sugarcane cultivation has led to higher farmland prices in the state of São Paulo.

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“…L'estimation des modèles de choix discret avec de l'auto-corrélation spatiale reste un défi au niveau des calculs. [Chakir et Le Gallo, 2013]. La variable d'intérêt devient alors la proportion de chaque usage de sol dans l'unité géo-graphique agrégée, variable de type donnée de composition (CoDa) dont le traitement nécessite une méthodologie adaptée [Aitchison, 2003].…”

Section: Resultsunclassified

Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles

Chakir¹,

Laurent²,

Ruiz‐Gazen³

et al. 2017

Revue Économique

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RésuméNous proposons dans ce travail d'évaluer dans quelle mesure un modèle de prédiction à partir de covariables facilement accessibles permet de donner une image de l'usage des sols comparable à celle obtenue à partir de l'information complète au niveau individuel souvent coûteuse. L'utilisation des sols est mesurée par l'occupation physique telle que définie dans l'enquête Teruti-Lucas, et nous considérons cinq catégories : urbain, agricole, forêts, prairies et sols naturels.Notre approche comporte deux étapes : la première étape permet de modéliser l'utilisation du sol au niveau des points Teruti-Lucas tandis que la deuxième étape propose une méthode pour en déduire l'utilisation des sols sur un maillage défini par des carreaux. Le modèle de la première étape fournit des prédictions à un niveau fin. La deuxième étape agrège, en comparant plusieurs méthodes, ces prédictions sur les carreaux du maillage. Nous envisageons différents maillages réguliers du territoire en carreaux pour étudier la qualité de restitution en fonction de la résolution. Nous montrons qu'avec des variables facilement accessibles on obtient une qualité de prédiction acceptable au niveau point et que l'amélioration de la qualité est importante dès la première étape d'agrégation.

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Predicting land use allocation in France: A spatial panel data analysis

Cited by 78 publications

References 25 publications

The effects of thinning intensity and tree size on the growth response to annual climate in Cedrus atlantica: a linear mixed modeling approach

The effects of thinning intensity and tree size on the growth response to annual climate in Cedrus atlantica: a linear mixed modeling approach

Sugarcane expansion and farmland prices in São Paulo State, Brazil

Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles

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