The ISO 14001 Standard and Firms' Environmental Performance: Evidence from the U.S. Transportation Equipment Manufacturers

Autor: Mehdi Nemati, Yuqing Zheng, Wuyang Hu

Publikováno v: Journal of Agricultural and Resource Economics, Vol 44, Iss 2, Pp 422-438 (2019)

Manufacturers have relied on environmental management systems to meet government environmental regulations, enhance their environmental performance, and reduce their impact on the environment. We investigate the impact of ISO 14001 certification on m

Externí odkaz: https://doaj.org/article/e9f4f1ddaf8b490dab4071e8b7494e2a

HIGH DIMENSIONAL CENSORED QUANTILE REGRESSION

Autor: Zheng, Qi, Peng, Limin, He, Xuming

Publikováno v: The Annals of Statistics, 2018 Feb 01. 46(1), 308-343.

Externí odkaz: https://www.jstor.org/stable/26542786

ICT as a Key Determinant of Efficiency: A Bootstrap-Censored Quantile Regression (BCQR) Analysis for Vietnamese Banks

Autor: Tu D. Q. Le, Thanh Ngo, Tin H. Ho, Dat T. Nguyen

Publikováno v: International Journal of Financial Studies, Vol 10, Iss 2, p 44 (2022)

There is evidence that ICT developments can improve bank efficiency and performance. Previous studies often employ data envelopment analysis (DEA) to first examine bank performance and then use a second-stage regression to explain the influences of o

Externí odkaz: https://doaj.org/article/2971f337fa3d4787af510fd85d994004

Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks

Autor: Inon Peled, Filipe Rodrigues, Francisco Camara Pereira, Frederik Boe Hüttel

Publikováno v: Huttel, F B, Peled, I, Rodrigues, F & Pereira, F C 2022, ' Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks ', IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, 21754 . https://doi.org/10.1109/TITS.2022.3190194

Shared mobility services require accurate demand models for effective service planning. On the one hand, modeling the full probability distribution of demand is advantageous because the entire uncertainty structure preserves valuable information for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f3f8a67b796ca56c747efb0803f0e99
https://doi.org/10.1109/tits.2022.3190194

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