Estimating and decomposing overall inefficiency by determining the least distance to the strongly efficient frontier in data envelopment analysis
| Autor: | Juan Aparicio, Jose L. Sainz-Pardo, Fernando Vidal, Jesús T. Pastor |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Measure (data warehouse)
Numerical Analysis 021103 operations research Strategy and Management 05 social sciences 0211 other engineering and technologies Efficient frontier Computational intelligence 02 engineering and technology Management Science and Operations Research Microeconomics Frontier Computational Theory and Mathematics Management of Technology and Innovation Modeling and Simulation 0502 economics and business Market price Econometrics Data envelopment analysis Economics Production (economics) Allocative efficiency 050207 economics Statistics Probability and Uncertainty Inefficiency |
| Zdroj: | Operational Research. 20:747-770 |
| ISSN: | 1866-1505 1109-2858 |
| Popis: | This paper proposes a new method to measure economic inefficiency of decision making units based on the calculation of the least distance to the Pareto-efficient frontier in Data Envelopment Analysis (DEA). While all previously published approaches that have dealt with the problem of determining least distances to the efficient frontier are focus on exclusively technical inefficiency, the new methodology opens the door to applications of this approach when market prices, together with inputs and outputs, are available. Finally, the paper empirically illustrates the new method using recent data on the mandarins' production in a Spanish eastern province. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink