Back to Search Start Over

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

Authors :
Tsionas MG
Tzeremes NG
Source :
Journal of environmental management [J Environ Manage] 2022 Oct 15; Vol. 320, pp. 115876. Date of Electronic Publication: 2022 Aug 08.
Publication Year :
2022

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 (NO <subscript>X</subscript> ), carbon dioxide (CO <subscript>2</subscript> ), and sulfur dioxide (SO <subscript>2</subscript> ) 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.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1095-8630
Volume :
320
Database :
MEDLINE
Journal :
Journal of environmental management
Publication Type :
Academic Journal
Accession number :
35952564
Full Text :
https://doi.org/10.1016/j.jenvman.2022.115876