Journal ArticleDOI
A PCA–DEA approach to measure the quality of life in Estonian counties
Reet Põldaru,Jüri Roots +1 more
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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.Abstract:
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.read more
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Human development and data envelopment analysis: A structured literature review ☆ ☆☆
TL;DR: A literature review on the research works that have used the data envelopment analysis (DEA) to measure and analyze the development process and the main gaps in each analysis dimension were assessed to guide future researches.
Journal ArticleDOI
PCA-DEA-tobit regression assessment with carbon emission constraints of China's logistics industry
TL;DR: Wang et al. as mentioned in this paper developed a comprehensive evaluation index system to assess the performance of China's logistics Principal Component Analysis (PCA) was applied to reduce the indicator dimensions and then a Slacks-Based Measure-Data Envelopment Analysis (SBM-DEA) is employed to measure and evaluate the logistics performance with and without carbon emissions constraints of 30 provinces/municipalities in China and analyze the overall level and spatial characteristics of China’s logistics industry efficiency Regression analyses using the Tobit model were then conducted to identify the driving factors.
Journal ArticleDOI
Measuring corporate sustainability performance– the case of European food and beverage companies
Tadesse Getacher Engida,Tadesse Getacher Engida,Xudong Rao,Paul Berentsen,Alfons Oude Lansink +4 more
TL;DR: In this paper, a method that builds on a combinantion of principal component analysis and data envelopment analysis for developing a composite indicator of corporate sustainability is discussed and evaluated for companies in the European food and beverages sector, using data from Sustainalytics.
Journal ArticleDOI
Public-private partnerships and scale efficiency in Brazilian ports: Evidence from two-stage DEA analysis ☆
TL;DR: A strong positive impact of public-private partnerships on port scale efficiency is indicated, corroborating their impacts in relation to the most productive scale size.
Journal ArticleDOI
Efficiency evaluation of material and energy flows, a case study of Chinese cities
TL;DR: In this article, the authors evaluated the urban material and energy flow efficiencies of 31 cities in China using a combination of the Data Envelopment Analysis model and Principal Component Analysis method.
References
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Book
An Introduction to Efficiency and Productivity Analysis
TL;DR: This book is the first systematic survey of performance measurement with the express purpose of introducing the field to a wide audience of students, researchers, and practitioners.
Book
Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
TL;DR: In this article, the basic CCR model and DEA models with restricted multipliers are discussed. But they do not consider the effect of non-discretionary and categorical variables.
Report SeriesDOI
Handbook on Constructing Composite Indicators: Methodology and User Guide
Michela Nardo,Michaela Saisana,Andrea Saltelli,Stefano Tarantola,Anders Hoffman,Enrico Giovannini +5 more
TL;DR: In this paper, the authors present a handbook for constructing and using composite indicators for policy makers, academics, the media and other interested parties, which is concerned with those which compare and rank country performance in areas such as industrial competitiveness, sustainable development, globalisation and innovation.
Journal ArticleDOI
A slacks-based measure of super-efficiency in data envelopment analysis
TL;DR: This paper addresses the "super-efficiency" issue of Data Envelopment Analysis by using the slacks-based measure (SBM) of efficiency, which the author proposed in his previous paper [European Journal of Operational Research 130 (2001) 498].