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Równowaga w modelu Nonnemana-Vanhoudta z funkcją produkcji CES

100%
Sulima A.
Gospodarka Narodowa. The Polish Journal of Economics
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2011
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vol. 252
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issue 11-12
47-59
EN
The paper aims to show that the Nonneman-Vanhoudt growth model with the n-capital CES macroeconomic production functionis asymptotically stable in a certain environment. The Nonneman-Vanhoudt model of economic growth is conducted with an assumption that the CES production function is described by a system of ordinary differential equations. To investigate the stability of the model, a criterion resulting from the Hartman-Grobman theorem was used. The stability of this model means that if the structure of resources, the investment rate, and the rate of capital depreciation change slightly, the economy will tend toward astationary point that can be regarded as a long-term equilibrium in the considered model of economic growth. The author examines the properties of the growth model and focuses on factors including the growth of labor productivity, equipment and output per unit of effective labor.
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General bankruptcy prediction models for the Visegrád Group : the stability over time

88%
Tomczak S. K.
Operations Research and Decisions
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2023
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vol. 33
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issue 4
EN
Managers of enterprises must constantly face the continual changes on the market and fight for survival in a world of high competition. Therefore, it is important to systematically monitor the company’s financial condition. This will help to identify problems and give specific time to take corrective action. Bankruptcy prediction models are usually constructed for local goals. The purpose of the article is to build not only regional but also general discriminant and logit models for the SMEs operating in the construction industry in Visegrád Group countries. A total of 32 unique models were built and verified along with the Altman model for emerging markets. The paper also contributes to the literature by assessing the stability of the constructed models over time, which the models’ authors do not usually measure. The results showed that regional models are characterized by higher accuracy than general ones. However, general models can be adapted to the analyzed Visegrád Group with an accuracy of approximately 90%. The G1 LR model can be considered the best model, as it has relatively high accuracy and over-time stability.
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