Anwendung von Intervall-PCA und Klassifizierung auf Quantilschätzungen: empirische Verteilungen von Düngemittelkostenschätzungen für einjährige Kulturen in europäischen Ländern. Applying interval PCA and clustering to quantile estimates: empirical distributions of fertilizer cost estimates for yearly crops in European Countries Aplicación del ACP de intervalos y de la clasificación a las estimaciones cuantílicas: distribuciones empíricas de las estimaciones de los costes de los fertilizantes para los cultivos anuales en los países europeos. Application de l'ACP par intervalles et de la classification aux estimations par quantile : distributions empiriques des estimations du coût des engrais pour les cultures annuelles dans les pays européens. Applicazione di interval PCA e classificazione alle stime quantili: distribuzioni empiriche delle stime dei costi dei fertilizzanti per le colture annuali nei paesi europei. De En Es Fr It

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Date

14 septembre 2021

Type de document
Périmètre
Langue
Identifiants
Organisation

INRAE

Licences

http://hal.archives-ouvertes.fr/licences/copyright/ , info:eu-repo/semantics/OpenAccess


Mots-clés

Principal component analysis hierarchic clustering interval estimates quantile regression input–output model symbolic data analysis agricultural production cost fertilizer yearly crops micro-economics D - Microeconomics M - Business Administration and Business Economics • Marketing • Accounting • Personnel Economics M - Business Administration and Business Economics • Marketing • Accounting • Personnel Economics/M.M2 - Business Economics Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q5 - Environmental Economics -fin]

Résumé En

The decision to adopt one or another of the sustainable land management alternatives should not be based solely on their respective benefits in terms of climate change mitigation but also based on the performances of the productive systems used byfarm holdings, assessing their environmental impacts through the cost of fertilizer resources used. This communication uses the symbolic clustering tools in order to analyze the conditional quantile estimates of thefertilizer costs of yearly crop productionsin agriculture, as a replacement proxy for internal soil erosion costs. After recalling the conceptual framework of the estimation of agricultural production costs, we present the empirical data model, the quantile regression approach and the interval principal component analysis clustering tools used to obtain typologies of European countries on the basis of the conditional quantile distributions of fertilizer cost empirical estimates. The comparative analysis of econometric results for yearly crops between European countries illustrates the relevance of the typologies obtained for international comparisons to assess land management alternatives based on their impact on agricultural carbon sequestration in soils.

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