• Title of article

    Comparing frontier methods for economic–environmental trade-off analysis

  • Author/Authors

    Jef Van Meensel، نويسنده , , Ludwig Lauwers، نويسنده , , Guido Van Huylenbroeck، نويسنده , , Steven Van Passel، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    14
  • From page
    1027
  • To page
    1040
  • Abstract
    This paper uses a mechanistic frontier approach as a reference to evaluate the ability of conventional parametric (SFA) and non-parametric (DEA) frontier approaches for analyzing economic–environmental trade-offs. Conventional frontier approaches are environmentally adjusted through incorporating the materials balance principle. The analysis is worked out for the Flemish pig finishing case, which is both representative and didactic. Results show that, on average, SFA and DEA yield adequate economic–environmental trade-offs. Both methods are good estimators for technical efficiency. Cost allocative and environmental allocative efficiency scores are less robust, due to the well-known methodological advantages and disadvantages of SFA and DEA. For particular firms, SFA, DEA and the mechanistic approach may yield different economic–environmental trade-offs. One has therefore to be careful when using conventional frontier approaches for firm-specific decision support. The mechanistic approach allows for optimizing performances per average present finisher, which is the production unit in pig finishing. Conventional frontier methods do not allow for this optimization since the number of average present finishers varies along the production functions. Since the mechanistic production function is based on underlying growth, feed uptake and mortality functions, additional firm-specific indicators can also be calculated at each point of the production function.
  • Keywords
    Environment , Frontier methods , Pig finishing , Production function , economics , Trade-off analysis
  • Journal title
    European Journal of Operational Research
  • Serial Year
    2010
  • Journal title
    European Journal of Operational Research
  • Record number

    1312963