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Measuring the performance and returns to scale of forest management plans using data envelopment analysis approach: Case study; Iranian Caspian forests
University of Guilan, Iran.
University of Guilan, Iran.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (CIE)
Islamic Azad Universityof Rasht, Iran.
2016 (English)In: Caspian Journal of Environmental Sciences, ISSN 1735-3033, Vol. 14, no 2, 155-164 p.Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to assess the relative efficiency of the Iranian forest management plans using the non-parametric method – Data Envelopment Analysis (DEA) as a well-known and robust technique for measuring the relative efficiency of organizations. The relative efficiency of forest management plans was calculated using the most frequency DEA models such as global technical efficiency (CCR), local pure technical efficiency (BCC) and Scale Efficiency (SE) on 12 units in Guilan Province, Iran. According to the results of CCR and BCC models, the efficiency averaged 0.83 and 0.93, respectively. The results of SE discussed a worrying aspect of these units efficiency; namely, there were only 3 efficient forest management plans (Shafaroud, Nav and Fiyab). However, the Scale Efficiency Index (SEI) brings out some interesting points; there were approximately 58% (7 units out of 12) under Increasing Returns to Scale (IRS). Therefore, the managers of forest management plans should  focus more on the plans under IRS, so that they will have the opportunity to become more efficient through growth, otherwise managers will not be able to promote their overall productivity.

Place, publisher, year, edition, pages
2016. Vol. 14, no 2, 155-164 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-27368OAI: oai:DiVA.org:miun-27368DiVA: diva2:918333
Available from: 2016-04-11 Created: 2016-04-11 Last updated: 2016-09-27Bibliographically approved

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Citation style
  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • text
  • asciidoc
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