Measuring the impacts of production risk on technical efficiency: A state-contingent conditional order-m approach

Teresa Serra, Alfons Oude Lansink

Research output: Contribution to journalArticlepeer-review

Abstract

This article studies the influence of risk on farms' technical efficiency levels. The analysis extends the order-m efficiency scores approach proposed by Daraio and Simar (2005) to the state-contingent framework. The empirical application focuses on cross section data of Catalan specialized crop farms from the year 2011. Results suggest that accounting for production risks increases the technical performance. A 10% increase in output risk will result in a 2.5% increase in average firm technical performance.

Original languageEnglish (US)
Pages (from-to)237-242
Number of pages6
JournalEuropean Journal of Operational Research
Volume239
Issue number1
DOIs
StatePublished - Nov 16 2014
Externally publishedYes

Keywords

  • Data envelopment analysis
  • Linear programming
  • Nonparametric order-m efficiency
  • Risk
  • State-contingent technology

ASJC Scopus subject areas

  • General Computer Science
  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

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