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Exploring cost dominance in crop farming systems between high and low pesticide use

Author

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  • Jean-Philippe Boussemart
  • Hervé Leleu
  • Oluwaseun Ojo

Abstract

The purpose of this paper is to assess cost dominance in direct inputs between arable crop-based systems using low or high pesticide levels per hectare. Our investigation departs from a traditional efficiency analysis and aims at comparing two minimal direct cost functions excluding pesticide expenses. This means that we evaluate the gap between two efficient frontiers instead of focusing on individual farm inefficiency scores. Our only objective is to compare two optimal cost benchmarks for systems respectively defined with high or low pesticide levels per hectare by varying their scale and output mix. A robust approach frontier is introduced to control the influence of potential outliers and unobserved heterogeneity. Based on 707 French crop farms observed in 2008, our simulations show that agricultural practices using less pesticide per hectare are unambiguously more cost-competitive in terms of direct inputs while inducing no other substitution costs. This cost dominance is a robust phenomenon regardless of the size and scope of crop activities, which supports more ecofriendly practices. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Jean-Philippe Boussemart & Hervé Leleu & Oluwaseun Ojo, 2016. "Exploring cost dominance in crop farming systems between high and low pesticide use," Journal of Productivity Analysis, Springer, vol. 45(2), pages 197-214, April.
    • Handle: RePEc:kap:jproda:v:45:y:2016:i:2:p:197-214
    DOI: 10.1007/s11123-015-0443-1
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    Cited by:

    1. Mercy, Ojo O. & Carmen, Hubbard, 2021. "Can Low Input Technology Make UK Agriculture More Profitable and Environmentally Sustainable?," 2021 Conference, August 17-31, 2021, Virtual 315176, International Association of Agricultural Economists.
    2. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
    3. Yajuan Chen & Qian Zhang & Wenping Liu & Zhenrong Yu, 2017. "Analyzing Farmers’ Perceptions of Ecosystem Services and PES Schemes within Agricultural Landscapes in Mengyin County, China: Transforming Trade-Offs into Synergies," Sustainability, MDPI, vol. 9(8), pages 1-18, August.

    More about this item

    Keywords

    Pesticide use (PU); Arable crops farming systems; Activity analysis model (AAM); Non parametric robust cost function (NPRCF); Hamming distance (HD); C61; D22; D24; Q12;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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