An alternative probabilistic frontier analysis to the measurement of eco-efficiency
Kostantinos Kounetas (),
Michael Polemis () and
Nickolaos Tzeremes ()
MPRA Paper from University Library of Munich, Germany
This study applies a nonparametric time dependent conditional frontier model to estimate and evaluate the convergence in eco-efficiency of a group of 51 US states over the period 1990-2017. Specifically, we utilize a mixture of global and local pollutants (carbon dioxide CO2, sulphur dioxide SO2 and nitrogen oxides NOx) to capture the environmental damage caused by the anthropogenic activities. The empirical findings indicate divergence for the whole sample, while specific groups of convergence club regions are formulated dividing the US states into worst and best performers. Moreover, Our findings reveal significant convergence patterns between the US regions over the sample period.
Keywords: Eco-efficiency; Convergence clubs; Order-m estimators; Non parametric frontier analysis; US regions (search for similar items in EconPapers)
JEL-codes: C15 Q40 Q53 Q57 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr, nep-eff, nep-ene and nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:93686
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