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
相关论文
共 50 条
  • [41] Can More Environmental Information Disclosure Lead to Higher Eco-Efficiency? Evidence from China
    Yu, Yantuan
    Huang, Jianhuan
    Luo, Nengsheng
    SUSTAINABILITY, 2018, 10 (02)
  • [42] The spatial effect of upgrading economic development zones on regional eco-efficiency: evidence from China
    Z. Zhang
    X. Wei
    X. Lin
    International Journal of Environmental Science and Technology, 2024, 21 : 6851 - 6870
  • [43] Eco-Efficiency of Pellet Production from Dedicated Poplar Plantations
    Sperandio, Giulio
    Suardi, Alessandro
    Acampora, Andrea
    Civitarese, Vincenzo
    ENERGIES, 2024, 17 (13)
  • [44] Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes
    Griffiths, William
    Zhang, Xiaohui
    Zhao, Xueyan
    JOURNAL OF PRODUCTIVITY ANALYSIS, 2014, 42 (01) : 67 - 84
  • [45] Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes
    William Griffiths
    Xiaohui Zhang
    Xueyan Zhao
    Journal of Productivity Analysis, 2014, 42 : 67 - 84
  • [46] Eco-efficiency of grain production in China based on water footprints: A stochastic frontier approach
    Song, Jianfeng
    Chen, Xiaonan
    JOURNAL OF CLEANER PRODUCTION, 2019, 236
  • [47] From simulation with a business process optimisation model to eco-efficiency
    Cancer, V
    ITI 2000: PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES, 2000, : 351 - 356
  • [48] Impact and Spatial Effect of Socialized Services on Agricultural Eco-Efficiency in China: Evidence from Jiangxi Province
    Wang, Lu
    Gao, Xueping
    Yuan, Ruolan
    Luo, Mingzhong
    SUSTAINABILITY, 2024, 16 (01)
  • [49] Peer effect, political competition and eco-efficiency: evidence from city-level data in China
    Chen, Xudong
    Huang, Bihong
    Yu, Yantuan
    SPATIAL ECONOMIC ANALYSIS, 2024, 19 (02) : 183 - 205
  • [50] Study on measurement and drivers of low-carbon tourism eco-efficiency: evidence from Jiangsu Province
    Cao, Tianyi
    Shen, Qiaoqiao
    Han, Xiuyan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (26) : 68877 - 68888