کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
987104 | 935118 | 2014 | 9 صفحه PDF | دانلود رایگان |

• PCA–DEA-based model for Estonian counties was constructed.
• Quality of life (QOL) scores are estimated for different model specifications.
• Using QOL scores Estonian counties are ranked.
• QOL score has the largest value in Harju county.
This paper investigates the application of a PCA–DEA model to assess the quality of life (QOL) scores in Estonian counties and analyses the model's results. The dataset is a balanced panel of 15 Estonian counties covering the period from 2000 to 2011. We consider a PCA–DEA model as an alternative method to estimate and predict QOL scores and rankings of Estonian counties. The method consists of a two-stage analysis that begins with a principal component analysis. In the second stage, the standard DEA is used. The results from the conventional DEA model and the PCA–DEA model are compared and discussed. A comparison of the methodologies demonstrates that a PCA–DEA model provides a powerful tool for performance ranking. The rankings of Estonian counties using QOL scores for different model specifications are presented. Finally, the QOL ranking of Estonian counties is revised using PCA–DEA.
Journal: Socio-Economic Planning Sciences - Volume 48, Issue 1, March 2014, Pages 65–73