CV HAL - Esther Devilliers

Are we overestimating the benefits of agricultural intensification by overlooking nature-based alternatives?

Jérôme Faure , Helena Hansson , Anne Sophie Dietrich , Esther Devilliers

Ecological Economics, 2026, 243, pp.108940. ⟨10.1016/j.ecolecon.2026.108940⟩

Article dans une revue hal-05650574v1

Pesticide taxation and the adoption of low-input cropping management practices using a hidden Markov model

Esther Devilliers , Obafemi Philippe Koutchade , Alain Carpentier

European Review of Agricultural Economics, 2025, 52 (4), pp.818-847. ⟨10.1093/erae/jbaf025⟩

Article dans une revue hal-05236100v1

Estimation and comparison of the performance of low-input and conventional agricultural production systems

Esther Devilliers , Niklas Möhring , Robert Finger

Q Open, 2024, 4 (1), ⟨10.1093/qopen/qoad032⟩

Article dans une revue hal-04157545v2

Are we overestimating the benefits of agricultural intensification by overlooking nature-based alternatives?

Jérôme Faure , Helena Hansson , Anne Sophie Dietrich , Esther Devilliers

2025

Pré-publication, Document de travail hal-05208113v1

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model approach

Esther Devilliers , Obafemi Philippe Koutchade , A. Carpentier

2023

Pré-publication, Document de travail hal-04157564v1

Selection bias on the dependent variable and an endogenous covariate in a non-linear framework: a corrected inverse Mills ratio approach

Esther Devilliers , A. Carpentier

2023

Pré-publication, Document de travail hal-04189176v1

How integrating nature-based solutions into farmers' strategies can play on inefficient use of polluting inputs

Jérôme Faure , Esther Devilliers

European Association of Agricultural Economists Congress, European Association of Agricultural Economists, Aug 2023, Rennes, France. 18 p

Communication dans un congrès hal-04869177v1

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach

Esther Devilliers , Obafemi Philippe Koutchade , A. Carpentier

XVII EAAE Congress : “Agri-food systems in a changing world: Connecting science and society”,, INRAE; Institut Agro, Aug 2023, Rennes, France

Communication dans un congrès hal-04157862v1

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach

Esther Devilliers , Obafemi Philippe Koutchade , A. Carpentier

38. Journées de Microéconomie Appliquée, CREM; UMR SMART; Fédération de Recherche TEPP, Jun 2022, Rennes, France

Communication dans un congrès hal-04157706v1

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach

Esther Devilliers , Obafemi Philippe Koutchade , A. Carpentier

16. Journées de recherche en sciences sociales, SFER; INRAE; CIRAD, Dec 2022, Clermont-Ferrand, France

Communication dans un congrès hal-04157698v1

Estimation of Production Functions in Low- and High-Input Production Practices

Esther Devilliers , Niklas Möhring , Robert Finger

XVI European Association of Agricultural Economists (EAAE) Virtual Congress, Jul 2021, Prague (en ligne), Czech Republic

Communication dans un congrès hal-04157726v1

Recovering cropping management practices specific production functions: clustering and latent approaches

Esther Devilliers , A. Carpentier

6.conférence annuelle de la FAERE (French Association of Environmental and Resource Economists ), CREM; UMR SMART-LERECO, Aug 2019, Rennes, France

Communication dans un congrès hal-04157746v1

Recovering cropping management practices specific production functions: clustering and latent approaches

Esther Devilliers , A. Carpentier

93. Annual Conference of the Agricultural Economics Society, Warwick University, May 2019, Coventry, United Kingdom. ⟨10.22004/ag.econ.289655⟩

Communication dans un congrès hal-04157853v1

Recovering cropping management practices specific production functions: clustering and latent approaches

Esther Devilliers , A. Carpentier

8. EAAE PhD Workshop, Swedish University of Agricultural Sciences, Jun 2019, Upssala, Sweden

Communication dans un congrès hal-04157805v1

Modelling farmers’ production choices and chimical inputs demand with a latent function approach

Esther Devilliers

Economics and Finance. Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, 2021. English. ⟨NNT : 2021AGROE058⟩

Thèse tel-03555413v2

Recovering cropping management practices specific production functions: clustering and latent approaches

Esther Devilliers , Alain Carpentier

81. Annual conference of the AES, Apr 2019, University of Warwick (Coventry), United Kingdom. AgEcon, 35 p., 2019

Proceedings/Recueil des communications hal-02788572v1

Esther Devilliers

Publications

Publications

Are we overestimating the benefits of agricultural intensification by overlooking nature-based alternatives?

Pesticide taxation and the adoption of low-input cropping management practices using a hidden Markov model

Estimation and comparison of the performance of low-input and conventional agricultural production systems

Are we overestimating the benefits of agricultural intensification by overlooking nature-based alternatives?

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model approach

Selection bias on the dependent variable and an endogenous covariate in a non-linear framework: a corrected inverse Mills ratio approach

How integrating nature-based solutions into farmers' strategies can play on inefficient use of polluting inputs

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach

Accounting for Latent Cropping Management Practices Choices in Crop Production Models: a Random Parameter Hidden Markov Model Approach

Estimation of Production Functions in Low- and High-Input Production Practices

Recovering cropping management practices specific production functions: clustering and latent approaches

Recovering cropping management practices specific production functions: clustering and latent approaches

Recovering cropping management practices specific production functions: clustering and latent approaches

Modelling farmers’ production choices and chimical inputs demand with a latent function approach

Recovering cropping management practices specific production functions: clustering and latent approaches