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

被引:11
|
作者
Tsionas, Mike G. [1 ,2 ]
Tzeremes, Nickolaos G. [3 ]
机构
[1] Montpellier Business Sch, 2300 Ave Moulins, F-34080 Montpellier, France
[2] Univ Lancaster, Management Sch, Lancaster LA1 4YX, England
[3] Univ Thessaly, Dept Econ, 28th October St,78, Volos 38333, Greece
关键词
Bayesian inference; Decoupling; Eco-efficiency; Eco-productivity; Quantile stochastic frontier; DATA ENVELOPMENT ANALYSIS; ENVIRONMENTAL EFFICIENCY; SUSTAINABLE DEVELOPMENT; REGIONAL-DEVELOPMENT; CO2; EMISSIONS; MODELS; GROWTH; CHINA; CONVERGENCE; TRANSITION;
D O I
10.1016/j.jenvman.2022.115876
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:14
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