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Zur Effizienz von Krankenhäusern : Wirtschaftlichkeitsvergleiche auf der Basis statistischer Methoden

Reichsthaler, Thomas - 2001

Persistent link: https://www.econbiz.de/10001608018

Einflussfaktoren auf Gewinn und Rentabilität landwirtschaftlicher Großbetriebe im Gebiet Omsk, Russland

Schulze, Eberhard; Tillack, Peter; Patlassov, Oleg - 2002

profitability of Russian enterprises in the region of Omsk. Based on the final yearly reports of the enterprises it is shown, that … enterprises. Therefore, in this article only the gross profit, or the profitability of the gross profit are discussed. For the … year 2000, the average profitability of the gross profit of the examined enterprises amounted to 2,0%. The profitability on …

Persistent link: https://www.econbiz.de/10009755909

Einflussfaktoren auf Gewinn und Rentabilität landwirtschaftlicher Großbetriebe im Gebiet Omsk, Russland

Schulze, Eberhard; Tillack, Peter; Patlassov, Oleg - 2002

Persistent link: https://www.econbiz.de/10001681047

The dynamics of interfirm profitability differences in German manufacturing industry

Olbermann, Stefan - In: Textil- und Bekleidungswirtschaft im Wandel : betriebs- …, (pp. 259-272). 2001

Persistent link: https://www.econbiz.de/10001596449

The competitivenenss of Polish agriculture in the context of integration with the European Union

Zawalińska, Katarzyna - 2004

Persistent link: https://www.econbiz.de/10003474512

Unmasking the Porter hypothesis : environmental innovations and firm-profitability

Rexhäuser, Sascha; Rammer, Christian - 2011

or energy consumption has a positive impact on profitability. This positive result holds both for regulation induced and …

Persistent link: https://www.econbiz.de/10009129823

How many viewers does a cable network need? : a survival analysis of cable networks

Brown, Keith - In: Applied economics 39 (2007) 19/21, pp. 2581-2587

Persistent link: https://www.econbiz.de/10003609253

How Many Viewers Does a Cable Network Need? A Survival Analysis of Cable Networks

Brown, Keith S. - 2006

This paper employs survival/duration analysis to determine how subscriber levels affect cable networks' survival probabilities. Using piecewise-constant hazards estimation, we find that an additional one million subscribers increases a cable network's probability of survival in a given year by 17%

Persistent link: https://www.econbiz.de/10012779792

Ranking joint stock companies : an analysis of different multi criteria methods

Tamm, Sabrina - 1997

Persistent link: https://www.econbiz.de/10000980431

Fundamental performance of initial public offerings : empirical evidence from Germany

Sapusek, Annemarie - 1998

Persistent link: https://www.econbiz.de/10000988979

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