The article focuses on an integral estimation of the public production effectiveness and shows the role of human labor productivity in the formation of the summarizing performance indicator. It focuses on measuring the public production effectiveness. The role of labor productivity as a major criterion of the efficiency of the national economy is shown. The problem of measuring the public production effectiveness is inseparable from the problem of measuring productivity. The aim of this study is to identify minimum indicators that characterize the public production efficiency and which make up a balanced system. To search for a balanced system the study uses: the traditional scheme of resource expressions for integral indicator of the public production effectiveness, including labor resources, production capital and working capital; integral estimation of the public production effectiveness, including labor productivity, return on fixed capital stock; return on stocks; after receiving a list of factors for integral estimation of the efficiency of production, procedure for calculating the multivariate average value of production resources is used in order to identify the role of human labor productivity and other factor variables in the summarizing performance indicator. Quantitative analysis of factors for integral expression of regional effectiveness of public production under the conditions of each individual unit of the territorial system can be accomplished by methods of the index factor analysis. As for the application to the whole territorial system, taking into account
This article provides an econometric analysis of borrowers' creditworthiness in order to create corporate organizational and economic knowledge. It stresses the need for modern methods of applied analysis of credit portfolio management. The authors seek to prove the feasibility of using binary variables to identify and measure creditworthiness drivers in cognitive supporting of a credit institution management. The paper proposes a methodological approach to modeling the creditworthiness of potential borrowers based on models with binary dependent variables. The results of empirical evaluations which were received through the application of Gretl software confirmed their feasibility in management of the loan portfolio by credit institutions.
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