Neues Geld für eine neue Ökonomie: Die Reform des Geldwesens als Voraussetzung für eine Marktwirtschaft, die den Menschen dient

Fuders, Félix

doi:10.1007/978-3-658-12584-4_10

Cited by 23 publications

(1 citation statement)

References 10 publications

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“…More interesting would be the construction of a model that defines efficiency by whether or not banks (efficiently) fulfill their role in the economy. In such a model, the lower interest rates, the better for economy and, especially, society since an important part of income inequality, financial crisis and the obligation to grow economically has to do with the money rate if interest [34,37,38].…”

Section: Results and Analysismentioning

confidence: 99%

A bargaining game model for performance assessment in network DEA considering sub-networks: a real case study in banking

Mahmoudi

Emrouznejad

Rasti−Barzoki

2018

Neural Comput & Applic

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Several network-data envelopment analysis (DEA) performance assessment models have been proposed in the literature; however, the conflicts between stages and insufficient number of decision-making units (DMUs) challenge the researchers. In this paper, a novel game-DEA model is proposed for efficiency assessment of network structure DMUs. We propose a two-stage modeling, where in the first stage network is divided into several sub-networks; we at the same time categorize input variables to measure efficiency of sub-networks within each input category. In the second stage, we calculate efficiency of the network by aggregating efficiency scores of sub-networks within each category. In this way, the issue of insufficient number of DMUs when there are many input/output variables can be handled as well. One of the main contributions of this paper is assuming each category and stage as a player in Nash bargaining game. Using the concept borrowed from Nash bargaining game model, the proposed game-DEA model tries to maximize distances of efficiency scores of each player form their corresponding breakdown points. The usefulness of the model is presented using a real case study to measure the efficiency of bank branches.

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Section: Results and Analysismentioning

confidence: 99%