Analyzing the Distribution of Specific Production Costs in Agriculture in the European Union: A Quantile Regression Approach

Desbois, Dominique; Butault, Jean-Pierre; Surry, Yves

doi:10.4000/economierurale.5320

Cited by 2 publications

(3 citation statements)

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“…First, we present the methodology for estimating input costs (Desbois, Butault, and Surry 2017), among which the fertilizer costs. Secondly, we introduce the factorial analysis and the clustering procedure of the estimation intervals in the formalism of the symbolic data.…”

Section: Conceptual Framework and Methodological Aspectsmentioning

confidence: 99%

“…To meet the needs of simulations and impact assessment in the various common market organizations, we must be able to provide information on the entire distribution of production costs for the assessment of public agricultural policy options. Based on the observation of asymmetry and heterogeneity within the empirical distribution of agricultural inputs, we propose a methodology adapted to the problem of estimating the empirical distributions of fertilizer costs for the main agricultural products in a European context where agricultural holdings remain mainly oriented toward multiple productions (Desbois, Butault, and Surry 2017).…”

mentioning

confidence: 99%

“…This choice of a small number of descriptors was made for comparative convenience with some more classical graphic approaches(Desbois et al 2017); however, like this earlier work, it could be extended without disadvantage to sets of descriptors of cardinality Q = 9 (deciles), or even Q = 99 (percentiles) if the analysis objectives required it.…”

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confidence: 99%

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Applying interval PCA and clustering to quantile estimates: empirical distributions of fertilizer cost estimates for yearly crops in European Countries

Desbois

2021

Communications in Statistics: Case Studies, Data Analysis and A

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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 by farm 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 the fertilizer costs of yearly crop productions in 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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Section: Conceptual Framework and Methodological Aspectsmentioning

confidence: 99%

mentioning

confidence: 99%