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