 On a model of environmental performance and technology gapsEuropean Journal of Operational Research, 2020, vol. 285, issue 3, 1141-1152 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. Keywords: Environment and climate change; Efficiency; Metafrontier; Technology gaps; Bayesian analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:285:y:2020:i:3:p:1141-1152 DOI: 10.1016/j.ejor.2020.02.025 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
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