Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States
dc.creator | Tsionas M.G., Tzeremes N.G. | en |
dc.date.accessioned | 2023-01-31T10:15:10Z | |
dc.date.available | 2023-01-31T10:15:10Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.1016/j.jenvman.2022.115876 | |
dc.identifier.issn | 03014797 | |
dc.identifier.uri | http://hdl.handle.net/11615/80001 | |
dc.description.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’ eco-productivity levels have been improved driven both from their eco-technical and eco-efficiency change levels. © 2022 Elsevier Ltd | en |
dc.language.iso | en | en |
dc.source | Journal of Environmental Management | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135691522&doi=10.1016%2fj.jenvman.2022.115876&partnerID=40&md5=2cf31037bb3e2b5ed0cc2b806609dfae | |
dc.subject | carbon dioxide | en |
dc.subject | nitrogen oxide | en |
dc.subject | sulfur dioxide | en |
dc.subject | carbon dioxide | en |
dc.subject | nitrogen oxide | en |
dc.subject | sulfur dioxide | en |
dc.subject | carbon dioxide | en |
dc.subject | carbon emission | en |
dc.subject | environmental degradation | en |
dc.subject | environmental economics | en |
dc.subject | Gross Domestic Product | en |
dc.subject | input-output analysis | en |
dc.subject | nitrogen oxides | en |
dc.subject | spatiotemporal analysis | en |
dc.subject | stochasticity | en |
dc.subject | sulfur dioxide | en |
dc.subject | Article | en |
dc.subject | carbon dioxide emission | en |
dc.subject | degradation | en |
dc.subject | nitrogen oxide emission | en |
dc.subject | stochastic model | en |
dc.subject | sustainable development | en |
dc.subject | United States | en |
dc.subject | economic development | en |
dc.subject | productivity | en |
dc.subject | United States | en |
dc.subject | Carbon Dioxide | en |
dc.subject | Economic Development | en |
dc.subject | Efficiency | en |
dc.subject | Nitrogen Oxides | en |
dc.subject | Sulfur Dioxide | en |
dc.subject | United States | en |
dc.subject | Academic Press | en |
dc.title | Eco-efficiency estimation with quantile stochastic frontiers: Evidence from the United States | en |
dc.type | journalArticle | en |
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