Two-stage data envelopment analysis with undesirable intermediate measures : an application to air quality improvement in China
Year of publication: |
December 2018
|
---|---|
Authors: | Fu, Jing |
Published in: |
Central European journal of operations research : CEJOR ; official journal of the Austrian, Croatian, Czech, Hungarian, Slovakian and Slovenian OR Societies. - Berlin : Springer, ISSN 1435-246X, ZDB-ID 1178875-6. - Vol. 26.2018, 4, p. 861-885
|
Subject: | Two-stage DEA | Undesirable intermediate measures | Data Transformation | Multi-criteria allocation game | Air quality improvvement | IGCC | Data-Envelopment-Analyse | Data envelopment analysis | Luftreinhaltung | Air pollution control | Luftverschmutzung | Air pollution | China | Theorie | Theory | Messung | Measurement |
-
Valuing air quality using happiness data : the case of China
Zhang, Xin, (2016)
-
Efficiency measurement of fintech companies: a two-stage DEA approach
Çağlar, Mehmet, (2024)
-
Valuing Air Quality Using Happiness Data : The Case of China
Zhang, Xin, (2016)
- More ...
-
Informationslogistik als Baustein innovativer Organisationsformen
Grabowski, Hans, (2000)
-
A reexamination of current hotel valuation techniques : which approach is more realistic?
Fu, Jing, (2013)
-
Strategic framework showcasing Greece in the Chinese tourism market
Kapiki, Soultana Tania, (2015)
- More ...