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Ekaterina Ivanovna Kadochnikova
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Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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The Hedonic Econometric Model and Sourcing Management of the Cadastral Value of Land Nailya Malikovna Yakupova; Ekaterina Ivanovna Kadochnikova; Venera Ildarovna Fakhrutdinova; Igor Leonidovich Beilin
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.131 KB)

Abstract

The authors identified and evaluated the key hedonic factors of cadastral value of land for individual housing construction. In order to identify the observed factors determining the value of land plots, linear, power and exponential specifications of the regression hedonic model of cadastral value based on data on 160 land plots in the city were constructed based on the source management. Zelenodolsk in 2019.  The empirical estimates of the specifications presented in the article confirmed the hypothesis about the influence of the distance to the region capital of the Russian Federation, the distance to the railway, the distance to the nearest recreational zone, the distance to the nearest water body, the land area on its cadastral value. The greatest impact on the cadastral value of land plots is the distance to the capital of the Russian Federation and the land area. The influence of the coefficient of the length of the land plot on its cadastral value in all built specifications was not confirmed. The quality of the results was tested using Fisher test, student test, regression equation specification error test (RESET), testing of regression residues on heteroskedasticity and autocorrelation (White test, Breusch-Pagan test).   The results of the empirical estimates confirmed the feasibility of the practical use of this approach to the assessment of the cadastral value of land.
Econometric Estimation of Economic Growth by Purchasing management: Neovlassical Models to the Analysis of Qualitative Changes Ekaterina Ivanovna Kadochnikova; Liliaj Faridovna Zulfakarova; Darja Alekseevna Drozdova; Abdulaev Hawaj-Baudi Salaudiyevich
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.313 KB)

Abstract

Based on the review of theories of economic growth, attention is focused on the sources of regional economic growth by purchasing management. Using linear regression models, a sample of data from 83 Russian regions from 2010 to 2016 reflects the short-term dynamics of regressors influence on the gross regional product growth. On the basis of partial elasticity coefficients, it is empirically revealed that the greatest influence on the gross regional product is exerted by investments in fixed capital, in contrast to the costs of technological innovations. The conclusion about the statistically significant difference in the impact of the volume of investment in fixed capital and the cost of technological innovation on the gross regional product is formulated on the basis of a comparison of the modular values of the boundaries of confidence intervals: if the intervals intersect, there is no statistical difference between the coefficients.  It is possible to recommend to apply the results to regional authorities in the development of regional economic policy in the field of investment and innovation.  The assumption that the growth of investment in fixed capital and rising costs of technological innovation increase the gross regional product is empirically confirmed. Investment in fixed capital has a greater impact on gross regional product than the cost of technological innovation. In 2015, 2016 compared to 2010, 2011, 2012, 2013, the impact of investments in fixed assets in the direction of increase, relative to the impact of costs on technological innovation is statistically different. In further studies, to eliminate the bias in the estimates of regression coefficients, it is advisable to expand the range of regressors of the gross regional product, to use econometric models for the analysis of panel data.
Forecasting Financial Performance of Agricultural Enterprises Based on Supply Chain Operation in Seasonal Decomposition Anna Valerievna Lyzhova; Ekaterina Ivanovna Kadochnikova; Gulnaz Zufarovna Karimova
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.298 KB)

Abstract

The authors used prospective estimates of revenue and expenses for ordinary activities, obtained on the basis of a multiplicative trend-seasonal model to predict the profit of an agricultural enterprise. The study draws attention to the fact that the classical decomposition of the trend-seasonal model into trend, seasonal and random components is possible and convenient for forecasting the financial performance of an agricultural enterprise that has seasonality in crop and livestock production.  The forecast estimates presented in the article confirmed the main hypothesis of the study – in the presence of objective seasonal fluctuations for the agricultural enterprise, there is a tendency of growth in sales revenue while reducing costs for conventional activities. This will be possible due to the uniform production, efficient use of fixed assets, elimination of loss of working time. However, it is necessary to take into account that the agricultural sector depends on climatic conditions, and there is a risk of losses during harvesting, storage of crops – all this leads to additional costs that reduce the profits of the organization. The quality of the obtained predictive estimates is verified by the ratio of the sum of squares of absolute errors and the total sum of squares of deviations of the actual levels of the predicted value. The results of the empirical estimates confirmed the feasibility of practical use of the multiplicative trend-seasonal model, based on the classical decomposition to predict the financial performance of the agricultural enterprise.
Co-Authors Abdulaev Hawaj-Baudi Salaudiyevich Anna Valerievna Lyzhova Darja Alekseevna Drozdova Gulnaz Zufarovna Karimova Igor Leonidovich Beilin Liliaj Faridovna Zulfakarova Nailya Malikovna Yakupova Venera Ildarovna Fakhrutdinova