On a model of environmental performance and technology gaps

Tsionas, Mike G. (2020) On a model of environmental performance and technology gaps. European Journal of Operational Research, 285 (3). pp. 1141-1152. ISSN 0377-2217

[thumbnail of paper_revised_2]
Text (paper_revised_2)
paper_revised_2.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial-NoDerivs.

Download (936kB)

Abstract

In this paper we consider a stochastic directional technology distance function to re-examine the results of recent research in which the authors estimate a generalized directional distance function using programming methods, derive technology gaps and, in a second stage, they fit a Markov process to the technology gaps. One problem is that in the second stage efficiencies and gaps are themselves estimated. Moreover, the authors consider two groups (Annex I and non-Annex I countries according to the Kyoto protocol). We allow for endogeneity of good and bad outputs and inputs, endogenously determined groups of countries, endogenous directions for each country and group, and a distribution of technological gaps (with respect to the meta-technology) which is based on a Markov process. We use a semi-parametric directional technology distance function and we propose stochastic envelopment of different frontiers allowing for its own “meta-inefficiency”. All quantities of interest are estimated jointly using numerical Bayesian techniques.

Item Type:
Journal Article
Journal or Publication Title:
European Journal of Operational Research
Additional Information:
This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 285, 3, 2020 DOI: 10.1016/j.ejor.2020.02.025
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2611
Subjects:
?? environment and climate changeefficiencymetafrontiertechnology gapsbayesian analysismodelling and simulationmanagement science and operations researchinformation systems and management ??
ID Code:
149579
Deposited By:
Deposited On:
02 Dec 2020 11:30
Refereed?:
Yes
Published?:
Published
Last Modified:
31 Aug 2024 00:12