DEA model with shared resources and efficiency decomposition

2010 ◽  
Vol 207 (1) ◽  
pp. 339-349 ◽  
Author(s):  
Yao Chen ◽  
Juan Du ◽  
H. David Sherman ◽  
Joe Zhu
Keyword(s):  
Shared Resources ◽  
Dea Model ◽  
Efficiency Decomposition

Weight assurance region in two-stage additive efficiency decomposition DEA model: an application to school data

2015 ◽  
Vol 66 (4) ◽  
pp. 696-704 ◽  
Author(s):  
George E Halkos ◽  
Nickolaos G Tzeremes ◽  
Stavros A Kourtzidis
Keyword(s):  
Two Stage ◽  
Dea Model ◽  
Assurance Region ◽  
Efficiency Decomposition

Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition

2012 ◽  
Vol 36 (12) ◽  
pp. 3302-3317 ◽  
Author(s):  
I.M. Premachandra ◽  
Joe Zhu ◽  
John Watson ◽  
Don U.A. Galagedera
Keyword(s):  
Mutual Fund ◽  
Two Stage ◽  
Dea Model ◽  
Fund Families ◽  
Efficiency Decomposition ◽  
Mutual Fund Families

Decomposition weights and overall efficiency in a two-stage DEA model with shared resources

2019 ◽  
Vol 136 ◽  
pp. 135-148 ◽  
Author(s):  
Qianqian Wang ◽  
Zhibin Wu ◽  
Xue Chen
Keyword(s):  
Shared Resources ◽  
Two Stage ◽  
Dea Model ◽  
Overall Efficiency

Multilevel relationships between shared resources and employees' health using the job demands-resources framework

2012 ◽  
Author(s):  
Desiree Fullemann ◽  
Rebecca Brauchli ◽  
Gregor Jenny ◽  
Georg Bauer
Keyword(s):  
Job Demands ◽  
Shared Resources

Drivers of diversity gradients of a highly mobile marine assemblage in a mesoscale seascape

2020 ◽  
Vol 638 ◽  
pp. 149-164
Author(s):  
GM Svendsen ◽  
M Ocampo Reinaldo ◽  
MA Romero ◽  
G Williams ◽  
A Magurran ◽  
...  
Keyword(s):  
Environmental Gradients ◽  
Regression Tree ◽  
Demersal Fish ◽  
Open Ocean ◽  
Shared Resources ◽  
Thermal Front ◽  
Boosted Regression Tree ◽  
Diversity Gradients ◽  
Α Diversity ◽  
Bottom Depth

With the unprecedented rate of biodiversity change in the world today, understanding how diversity gradients are maintained at mesoscales is a key challenge. Drawing on information provided by 3 comprehensive fishery surveys (conducted in different years but in the same season and with the same sampling design), we used boosted regression tree (BRT) models in order to relate spatial patterns of α-diversity in a demersal fish assemblage to environmental variables in the San Matias Gulf (Patagonia, Argentina). We found that, over a 4 yr period, persistent diversity gradients of species richness and probability of an interspecific encounter (PIE) were shaped by 3 main environmental gradients: bottom depth, connectivity with the open ocean, and proximity to a thermal front. The 2 main patterns we observed were: a monotonic increase in PIE with proximity to fronts, which had a stronger effect at greater depths; and an increase in PIE when closer to the open ocean (a ‘bay effect’ pattern). The originality of this work resides on the identification of high-resolution gradients in local, demersal assemblages driven by static and dynamic environmental gradients in a mesoscale seascape. The maintenance of environmental gradients, specifically those associated with shared resources and connectivity with an open system, may be key to understanding community stability.

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