This paper aims to analyse environmental Total Factor Productivity (TFP) change. Indeed, innovative environmental TFP measures are introduced through convex and non convex environmental production processes. Hence, the impacts of input and output quality change on environmental productivity variation are underscored. In addition, general decomposition of the new ratio-and differencebased environmental TFP measures is proposed.
This paper aims to define pollution‐adjusted Malmquist and Luenberger productivity measures through generalized pollution‐adjusted production technology. This axiomatic framework is fairly weak and does not require any convexity property for the production technology. Hence, a general context to analyse and decompose pollution‐adjusted productivity change is introduced. Decomposing productivity measures allows to determine the sources of productivity variation and is of interest to define recommendations for decision makers.
From a theoretical point of view, α-returns to scale is a relevant alternative to traditional Data Envelopment Analysis models for estimating production technologies under global returns to scale assumptions such as strictly increasing or strictly decreasing returns to scale. However, from a methodological and empirical point of view, the estimation of α remains a question that must be answered. This paper proposes an effective methodology to estimate an optimal value of α based upon a goodness-of-fit strategy. A global method using a gridsearch is presented first. In addition, for generalized Free Disposal Hull technologies, a minimum extrapolation principle is developed to estimate directly the optimal α-returns from a linear program. This study examined 63 US industries over the period 1987-2012 to demonstrate the relevancy of our approach.
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