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3230. Exploring Productivity Growth: A Data Envelopment Analysis in Single Input/Output Scenarios
Invited abstract in session WC-48: DEA methodological developments I, stream Data Envelopment Analysis and its Application.
Wednesday, 12:30-14:00Room: 60 (building: 324)
Authors (first author is the speaker)
| 1. | Mehdi Toloo
|
| Department of Business Analytics & Operations, University of Surrey | |
| 2. | Aliasghar Arabmaldar
|
| Business Analytics and Systems, University of Hertfordshire | |
| 3. | Adel Hatamimarbini
|
| Department of Accounting, Finance, Logistics and Economics, University of Huddersfield |
Abstract
The Malmquist Productivity Index (MPI), a major DEA advancement, evaluates productivity changes over time in decision-making unit (DMU) with multiple inputs and outputs. This paper addresses the underexplored scenario of a single input with multiple outputs or vice versa. Existing MPI models often overlook non-Archimedean epsilon, but our novel approach incorporates it in scenarios featuring a single input or output. An efficient procedure is proposed for problem-solving in both input- and output-oriented cases. Theoretical validation through theorems is complemented by a practical analysis of productivity growth across 18 OECD countries from 2005 to 2021, demonstrating the methodology's effectiveness.
Keywords
- Data Envelopment Analysis
- Efficiency Analysis
- Programming, Linear
Status: accepted
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