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

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Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States. / Tsionas, Mike G.; Tzeremes, Nickolaos G.
In: Journal of Environmental Management, Vol. 320, 115876, 15.10.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Tsionas, MG & Tzeremes, NG 2022, 'Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States', Journal of Environmental Management, vol. 320, 115876. https://doi.org/10.1016/j.jenvman.2022.115876

APA

Tsionas, M. G., & Tzeremes, N. G. (2022). Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States. Journal of Environmental Management, 320, Article 115876. https://doi.org/10.1016/j.jenvman.2022.115876

Vancouver

Tsionas MG, Tzeremes NG. Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States. Journal of Environmental Management. 2022 Oct 15;320:115876. Epub 2022 Aug 8. doi: 10.1016/j.jenvman.2022.115876

Author

Tsionas, Mike G. ; Tzeremes, Nickolaos G. / Eco-efficiency estimation with quantile stochastic frontiers : Evidence from the United States. In: Journal of Environmental Management. 2022 ; Vol. 320.

Bibtex

@article{8fa03221d9c54ce1929ff05aa45c835e,
title = "Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States",
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{\textquoteright} eco-productivity levels have been improved driven both from their eco-technical and eco-efficiency change levels.",
keywords = "Bayesian inference, Decoupling, Eco-efficiency, Eco-productivity, Quantile stochastic frontier",
author = "Tsionas, {Mike G.} and Tzeremes, {Nickolaos G.}",
year = "2022",
month = oct,
day = "15",
doi = "10.1016/j.jenvman.2022.115876",
language = "English",
volume = "320",
journal = "Journal of Environmental Management",
issn = "0301-4797",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Eco-efficiency estimation with quantile stochastic frontiers

T2 - Evidence from the United States

AU - Tsionas, Mike G.

AU - Tzeremes, Nickolaos G.

PY - 2022/10/15

Y1 - 2022/10/15

N2 - 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.

AB - 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.

KW - Bayesian inference

KW - Decoupling

KW - Eco-efficiency

KW - Eco-productivity

KW - Quantile stochastic frontier

U2 - 10.1016/j.jenvman.2022.115876

DO - 10.1016/j.jenvman.2022.115876

M3 - Journal article

VL - 320

JO - Journal of Environmental Management

JF - Journal of Environmental Management

SN - 0301-4797

M1 - 115876

ER -