Global malmquist index for measuring the economic productivity changes
| Autor: | Esmaeil Mombini, Mohsen Rostamy-Malkhalifeh, Mansor Saraj, Mohsen Zahraei, Reza Tayebi Khorami |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Measurement + Control, Vol 53 (2020) |
| Druh dokumentu: | article |
| ISSN: | 0020-2940 00202940 |
| DOI: | 10.1177/0020294020923096 |
| Popis: | Data envelopment analysis is a nonparametric method for measuring of the performance of decision-making units—which do not need to have or compute a firm’s production function, which is often difficult to calculate. For any manager, the progress or setback of the thing they manage is important because it makes planning and adoption of future policies for the organization or decision-making unit more rational and scientific. Different methods have been used to calculate the improvements and regressions using Malmquist Index. In this article, we evaluate the units under review in terms of economic efficiency, and the units in terms of spending, production, revenue and profit over several periods, and the rate of improvement or regression of each of these units. Considering the minimal use of resources and consuming less money, generating more revenue, and maximizing profits, the improvement or retreat of the recipient’s decision unit in terms of cost, revenue, and profit was examined by presenting a method based on solving linear programming models using the productivity index is Malmquist and Malmquist Global. Finally, by designing and solving a numerical example, we emphasize and test the applicability of the material presented in this article. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|