Measuring Efficiency of Organizational Units in Forestry by Nonparametric Model
This paper assesses the efficiency of basic organizational units in the Croatian forestry, forest offices, by applying Data Envelopment Analysis (DEA). DEAis a nonparametric methodology for measuring relative efficiency of comparable decision making units with more inputs and outputs. The relative e...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Forestry
2009-01-01
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| Series: | Croatian Journal of Forest Engineering |
| Online Access: | https://hrcak.srce.hr/file/62218 |
| _version_ | 1818693431653826560 |
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| author | Mario Šporčić Ivan Martinić Matija Landekić Marko Lovrić |
| author_facet | Mario Šporčić Ivan Martinić Matija Landekić Marko Lovrić |
| author_sort | Mario Šporčić |
| collection | DOAJ |
| description | This paper assesses the efficiency of basic organizational units in the Croatian forestry, forest offices, by applying Data Envelopment Analysis (DEA). DEAis a nonparametric methodology for measuring relative efficiency of comparable decision making units with more inputs and outputs. The relative efficiency of compared forest offices is calculated with the most frequently used DEAmodels – CCR and BCC model. According to the results of global technical efficiency, obtained by CCR model, average relative efficiency amounts to 0.829. Local pure technical efficiency, obtained by BCC model is 0.904, and scale efficiency is 0.919. The results also include the calculation of efficiency frontier, frequency of efficient units in reference set of inefficient units, determination of sources and values of inefficiencies, influence of the forest offices’ structural characteristics on their efficiency and the average efficiency of forest offices grouped with respect to the forest administrations and regions they belong to. The research reveals DEA as a powerful multi criteria decision making tool and a possible, very valuable support in forest management. |
| first_indexed | 2024-12-17T13:13:35Z |
| format | Article |
| id | doaj.art-90e63247411e42fda92d9d15675c8983 |
| institution | Directory Open Access Journal |
| issn | 1845-5719 1848-9672 |
| language | English |
| last_indexed | 2024-12-17T13:13:35Z |
| publishDate | 2009-01-01 |
| publisher | University of Zagreb, Faculty of Forestry |
| record_format | Article |
| series | Croatian Journal of Forest Engineering |
| spelling | doaj.art-90e63247411e42fda92d9d15675c89832022-12-21T21:47:03ZengUniversity of Zagreb, Faculty of ForestryCroatian Journal of Forest Engineering1845-57191848-96722009-01-0130111339645Measuring Efficiency of Organizational Units in Forestry by Nonparametric ModelMario Šporčić0Ivan Martinić1Matija Landekić2Marko Lovrić3Šumarski fakultet Sveučilišta u Zagrebu, Zagreb, HrvatskaŠumarski fakultet Sveučilišta u Zagrebu, Zagreb, HrvatskaŠumarski fakultet Sveučilišta u Zagrebu, Zagreb, HrvatskaŠumarski fakultet Sveučilišta u Zagrebu, Zagreb, HrvatskaThis paper assesses the efficiency of basic organizational units in the Croatian forestry, forest offices, by applying Data Envelopment Analysis (DEA). DEAis a nonparametric methodology for measuring relative efficiency of comparable decision making units with more inputs and outputs. The relative efficiency of compared forest offices is calculated with the most frequently used DEAmodels – CCR and BCC model. According to the results of global technical efficiency, obtained by CCR model, average relative efficiency amounts to 0.829. Local pure technical efficiency, obtained by BCC model is 0.904, and scale efficiency is 0.919. The results also include the calculation of efficiency frontier, frequency of efficient units in reference set of inefficient units, determination of sources and values of inefficiencies, influence of the forest offices’ structural characteristics on their efficiency and the average efficiency of forest offices grouped with respect to the forest administrations and regions they belong to. The research reveals DEA as a powerful multi criteria decision making tool and a possible, very valuable support in forest management.https://hrcak.srce.hr/file/62218 |
| spellingShingle | Mario Šporčić Ivan Martinić Matija Landekić Marko Lovrić Measuring Efficiency of Organizational Units in Forestry by Nonparametric Model Croatian Journal of Forest Engineering |
| title | Measuring Efficiency of Organizational Units in Forestry by Nonparametric Model |
| title_full | Measuring Efficiency of Organizational Units in Forestry by Nonparametric Model |
| title_fullStr | Measuring Efficiency of Organizational Units in Forestry by Nonparametric Model |
| title_full_unstemmed | Measuring Efficiency of Organizational Units in Forestry by Nonparametric Model |
| title_short | Measuring Efficiency of Organizational Units in Forestry by Nonparametric Model |
| title_sort | measuring efficiency of organizational units in forestry by nonparametric model |
| url | https://hrcak.srce.hr/file/62218 |
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