Eco-efficiency estimation with quantile stochastic frontiers:Evidence from the United States

Tsionas, Mike G. and Tzeremes, Nickolaos G. (2022) Eco-efficiency estimation with quantile stochastic frontiers:Evidence from the United States. Journal of Environmental Management, 320. ISSN 0301-4797

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Abstract

This paper based on quantile stochastic frontier framework constructs quantile eco-efficiency measures. Using the estimates from the quantile stochastic frontier, the eco-performance of the U.S. states for nitrogen oxides (NOX), carbon dioxide (CO2), and sulfur dioxide (SO2) emissions is evaluated. A decoupling analysis involving the evaluation of the nonsynchronous change among states' economic output and environmental degradation levels is also performed. The findings suggest that U.S. states have followed a decoupling process among their GDP and emission levels over the period 1990–2017. In addition, a quantile eco-productivity change estimator is presented alongside with its main components (i.e. quantile eco-technical change and quantile eco-efficiency change). Our findings suggest that over the examined period states’ eco-productivity levels have been improved driven both from their eco-technical and eco-efficiency change levels.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Environmental Management
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2311
Subjects:
ID Code:
175060
Deposited By:
Deposited On:
30 Aug 2022 13:10
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Aug 2022 13:10