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2561. Comparing the technical efficiency of Chilean and Mexicans ports using a stochastic frontier approach
Invited abstract in session WD-62: Port Performance, stream OR in Port Operations.
Wednesday, 14:30-16:00Room: S12 (building: 101)
Authors (first author is the speaker)
| 1. | FABRICIO MORENO BACA
|
| Logistics & Supply Chain Management, UPAEP | |
| 2. | Ivan Derpich
|
| Industrial Engineering Department, University of Santiago of Chile | |
| 3. | Claudia Duran
|
| Industry, Universidad Tecnológica Metropolitana | |
| 4. | Cristobal Castaneda
|
| Industria, Universidad Tecnologica Metropolitana |
Abstract
In this work, a stochastic cost frontier approach is presented to compare the efficiency of Chilean ports and Mexicans ports. This approach is based on the work of several authors,the authors who presented an activity-based operational method for estimate CO2 emissions from container shipping considering repositioning of empty containers.Among other findings they demonstrate that the repositioning Efficient disposal of empty containers can reduce emissions in maritime transport. Based on this background, the following subsection presents an econometric estimation model of CO2 emissions from Chilean and Mexicans ports based on in empty containers and the activity of export and import ships.The theoretical framework that supports the work corresponds to the theory of the stochastic frontier of costs introduced by Farrel. The most used frontier models are production and cost models. In this approach, cost frontier models will be applied. The linearized functional form of the Cobb-Douglas production function is the origin of the development of the cost frontier stochastic, which will be used in this work to characterize the technical efficiency of each of the ports. A cost frontier model with panel data will be used. We will use the standard form of the Cobbs-Douglas type cost frontier due to its flexibility to be estimated with a linear function with panel data.
Keywords
- Stochastic Models
- Efficiency Analysis
- OR in Sustainability
Status: accepted
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