Accessibility navigation


Integrating spatial dependence into stochastic frontier analysis

Areal, F., Balcombe, K. and Tiffin, R. (2012) Integrating spatial dependence into stochastic frontier analysis. Australian Journal of Agricultural and Resource Economics, 56 (4). pp. 521-541. ISSN 1364-985X

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1111/j.1467-8489.2012.00597.x

Abstract/Summary

An approach to incorporate spatial dependence into stochastic frontier analysis is developed and applied to a sample of 215 dairy farms in England and Wales. A number of alternative specifications for the spatial weight matrix are used to analyse the effect of these on the estimation of spatial dependence. Estimation is conducted using a Bayesian approach and results indicate that spatial dependence is present when explaining technical inefficiency.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Agriculture, Policy and Development > Farm Management Unit
Life Sciences > School of Agriculture, Policy and Development > Department of Agri-Food Economics & Marketing
ID Code:25515
Uncontrolled Keywords:Bayesian;spatial dependence;spatial weight matrix;technical efficiency
Publisher:Wiley

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation