Home > Research > Publications & Outputs > Eco-efficiency estimation with quantile stochas...

Electronic data

  • paper.v11

    Accepted author manuscript, 836 KB, PDF document

    Available under license: CC BY-NC-ND


Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Article number115876
<mark>Journal publication date</mark>15/10/2022
<mark>Journal</mark>Journal of Environmental Management
Number of pages14
Publication StatusPublished
Early online date8/08/22
<mark>Original language</mark>English


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.