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PhD, Associate Professoremail: firstname.lastname@example.org
The purpose of this paper is to investigate the role of perceived food quality and consumer ethnocentrism and potential trade-offs between these two concepts in Russian consumers’ food purchase decisions after the implementation of the Russian import ban.The results suggest that most respondents do not consider domestically produced cheese as a risky product in terms of food safety but simply of lower quality than imported cheese. However, the average respondent’s WTP discount for domestic cheese compared to imported cheese is 8 percent, which is relatively small. This corresponds to participants’ opinion that buying domestic cheese is the right thing to do since it supports Russian farmers and producers. The results indicate further that with increasing education and income levels, individuals are less likely to prefer domestically produced cheese for either economic or quality reasons. This effect is stronger for the quality preference.
We investigate alcohol consumption as one of the main factors contributing to variation in the gender gap in life expectancy in the Russian regions. We consider the socioeconomic indicators and mortality coefficients that enable us to capture the causes of death related primarily to alcohol abuse and smoking. We assume that macroeconomic situation, coupled with alcohol consumption are substantial determinants of the gender gap in life expectancy in the Russian regions. A panel data analysis confirms that alcohol consumption has a significant influence on the gender gap in life expectancy and reduces the life expectancy of men first and foremost, as they are more inclined toward unhealthy behaviours. We have determined that employment and income support policies should be conducted in conjunction with the anti-alcohol policy. Social policy aimed at reducing alcohol consumption should be vigorously reinforced during an economic recovery.
In this paper, we analyze a new approach for demand prediction in retail. One of the signicant gaps in demand prediction by machine learning methods is the unaccounted sales data censorship. Econometric approaches to modeling censored demand are used to obtain consistent and unbiased estimates of parameters. These approaches can also be transferred to different classes of machine learning models to reduce the prediction error of sales volume. In this study we build two ensemble models to predict demand with and without demand censorship, aggregating predictions for machine learning methods such as Linear regression, Ridge regression, LASSO and Random forest. Having estimated the predictive properties of both models, we test the best predictive power of the models with accounting for the censored nature of demand.
Puzzling Premiums on FX Markets: Carry Trade, Momentum, and Value Alone and Strategy Diversification.
The purpose of this paper is to present a comparative analysis of the contribution made by intellectual capital (IC) to company performance at company and industry levels in the Russian context. It examines the performance effect of IC using a multilevel approach.
Trial-to-trial variability of the motor evoked potentials (MEP) to transcranial magnetic stimulation (TMS) is a well-known phenomenon. However, the relationship between the fluctuations of the different types of the motor output and other motor system parameters such as corticospinal excitability, interhemispheric inhibition (IHI) and their interhemispheric asymmetry have not yet been fully investigated. We studied 20 young healthy right-handed volunteers. Four TMS sessions were performed (two single-pulse TMS and two paired-coil TMS with IHI paradigm sessions for each hemisphere), 70 stimuli were delivered during every session. Coefficient of quartile variation (CQV) was used to quantify trail-to-trail variability of MEPs amplitude. Resting motor threshold values were correlated between hemispheres (r = .842, p < .001). IHI phenomenon from the left hemisphere was obtained in 18 out of 20 volunteers, while IHI phenomena from the right hemisphere was shown in 16 out of 20. A strong correlation between the variability of MEP‘s amplitudes during IHI paradigm and the degree of IHI was found for the left hand (r = −.718, p < .001). We also observed a strong correlation between CQV of MEPs from both hands to single-pulse TMS (r = .632, p = .004). A side-specific correlation between the variability of the responses to single-pulse and paired-coil TMS was found for the dominant hemisphere (r = .524, p = .021). Our preliminary results demonstrate the importance of the trial-to-trial variability of the MEPs and its interhemispheric specificity as a defining characteristics of the motor system. This study was partially supported by ofi-m RFBR grant 17-29-02518, by HSE Basic Research Program and Russian Academic Excellence Project ‘5-100’.
Th e relevant expertise of both developed and developing countries demonstrates that the use of intellectual resources is critical for improving the performance of small businesses. However, previous research draws insuffi cient attention to the configuration which refl ects the interaction of intellectual resources transforming into corporate operations results. Th is study focuses on identifying direct and indirect eff ects of individual types of intellectual resources on small business performance. According to Andreeva and Garanina (2017), Molodchik and Jardon (2017), Shakina et al. (2017), intellectual capital shows a significant potential to gain competitive advantages and improve fi nancial results in Russian business environment. Given this consideration and the fact that small business plays a crucial role in the sustainable development of the economy, we put forward several hypotheses regarding the interaction between the intellectual capital components in the performance enhancement of Russian small businesses. Verifi cation of the theoretical assumptions is based on the analysis of 126 small enterprises in Perm Krai. The empirical part of the study involves the use of principal component analysis and stepwise regression. The econometric analysis data suggests that values and attitudes of managers and employees, as well as the quality of interaction with other companies, create a direct impact on the performance of small companies in question. The indirect effect in this regard is demonstrated by other components of intellectual capital, namely the quality of business processes, information system, corporate culture, knowledge and skills of employees, cooperation with suppliers. The ultimate structure of intellectual capital which allows small companies to improve their performance is consistent with the previous studies and continues the line of research on intellectual capital, small companies, and emerging markets.
Russian energy system is one of the largest among centralized ones in the world. For electricity consumption planning it is essential to consider heterogeneity of energy system areas in terms of both consumption structure and climate conditions. In this paper, the relationship of electricity consumption and air temperature is investigated on the data for 64 Russian regions. Hierarchical and non-hierarchical cluster analysis is employed to form homogeneous groups of regions: three temperature clusters are retrieved. Bearing in mind different electricity needs in regions, piecewise regression with endogenous reference temperature is estimated for each temperature cluster. In all clusters both cooling and heating effects are clearly observable but reference temperature differs. For the clusters of hot and middle climate regions cooling effect prevails, while heating effect dominates in the cold regions cluster. These effects consideration in energy consumption planning may result in a higher quality of forecasting. This is of a great importance for wholesale electricity market agents and functioning of Russian energy system as a whole.
Road traffi c today is a complex, hierarchically built system that includes a large number of elements, the independence of which from each other makes the process of organizing and managing the road traffi c diffi cult and requiring the introduction of new innovative automated systems. The article discusses one of these systems – an integrated optical mobile information system for light detection and automatic traffi c control on lay of line. The article presents the work of this system, carries out its approbation on lay of line, characterized by a high accident rate, and determines the effectiveness of this system
This article discusses the attitude of consumers to food without synthetic additives. The practical part of the study is devoted to the assessment of the willingness to pay for mayonnaise, which does not contain synthetic preservatives, by Perm consumers. The paper uses the contingent valuation method to determine the willingness to pay for the product. The results of the analysis suggest that the average consumer of mayonnaise in Perm is ready to buy mayonnaise, which does not contain a synthetic preservative, with a 23,55 % premium to the price of mayonnaise with a synthetic preservative. Previously, there were no studies of the willingness to pay by Russian consumers for a product without synthetic preservatives and this work fills this gap. The results of the study will help companies and government to assess the attitude of consumers to synthetic preservatives.
The article deals with approaches to assessing the effectiveness of tax policy in the region. The problem of regional budgets formation is the restrictions on the provision of tax benefits and reduced tax rates, which are fixed in the Tax Code of the Russian Federation. In this regard, many regions have a deficit budget. As one of the methods of improving the quality of tax policy in the region should be considered the registration of Territories of Advanced Socio-Economic Development. The study showed that the presence of the TASED can reduce the deficit of the regional budget.
Cities have a crucial role in the development of regions through the development of innovation. When considering the old industrial cities there is a contradiction. On the one hand, this is the need for innovative cities developing as the main drivers of regional development, on the other - the old-industrial nature of the “core” of a given region. This allows us to formulate a hypothesis: the development of old industrial regions will be associated with maintaining current trends without prioritizing sustainable spatial development, as old industrial centers will not be able to ensure the involvement of these regions in economic growth.
The paper deals with the problem of the occurrence of errors of the second type (erroneous transaction approval) when regulating economic concentration transactions. The purpose of antitrust regulation in this case is to prevent transactions detrimental to competition. Each transaction could, on the one hand, lead to a price increase due to the strengthening of monopoly power; on the other hand, generate a synergistic effect in the form of lower marginal costs. The difficulty lies in the fact that the antimonopoly authority may not be completely informed about the magnitude of such an effect. A game-theoretic model in which firms interact according to the Cournot model has been chosen for the simulation. If competition authority is able to observe the level of synergy merger, type II errors do not occur. In case of imperfect information, synergy would define the probability of a type II error.
One of the declared national goals of Russia's development is to increase life expectancy at birth to 80 years by 2030. To achieve this, it is important to understand life expectancy determinants that the government can influence. This paper aims to identify main determinants of life expectancy in groups of countries that differ in the level of life expectancy and show the place of Russia in this range. We use data on 82 countries and conduct descriptive, cluster, and correlation analysis. Our analysis shows that life expectancy in Russia is much lower than in countries with a comparable level of economic development and health care expenditures. Various factors affect public health in different ways depending on the countries' belonging to different clusters on life expectancy. These factors are development of the economy, including health care, urbanization, ecology, nutrition, and unhealthy lifestyles. In conclusion, we provide recommendations for the public policy.
In this research we analyze the demand for performing arts. Since the observed demand is limited by the capacity of house, one needs to account for demand censorship. The presence of consumer segments with different purposes of going to the theatre and willingness-to-pay for performance and ticket characteristics compels to account for heterogeneity in theatre demand. In this paper we propose an estimator for prediction of demand that accounts for both demand censorship and preferences heterogeneity. The estimator is based on the idea of classification and regression trees and bagging prediction aggregation. We extend the algorithm for censored data prediction problem. Our algorithm predicts and combines predictions from both discrete and continuous parts of censored data. We show that the estimator is better in prediction accuracy compared with estimators which account for censorship or heterogeneity of preferences only.
The aim of this paper is to study the influence of chief executive officers' overconfidence on corporate research and development (R&D). We analyze a sample of 766 firms from the United Kingdom, France, Germany, Switzerland, Italy, Spain, and the Netherlands between 2008 and 2013. We use 3 measures of managerial overconfidence: the press coverage of chief executive officers, his/her age, and his/her experience in the industry. Our results show that the firms run by overconfident managers actually invest more in R&D expenditures, even after controlling for country, industry, and time factors. Overconfident managers not only spend more on R&D but also amplify the effect of financial determinants of R&D such as firm liquidity or profitability. Nevertheless, overconfident managers do not invest efficiently in R&D, and these expenditures can negatively affect the value of the firm.
This study provides readers with new information about key drivers of performance in the emerging area of eSports. Competitive computer gaming (eSports) is becoming increasingly popular, and the number of gamers and amount of prize money is growing. We therefore explore some key country-level characteristics that may contribute to players’ success, measured as money won. We use gamers’ prize earnings aggregated by country and a hurdle model to understand the determinants of performance. The results show that a 1% increase in GDP per capita leads to a 2.2% increase in prize money per capita. Country population is not statistically significant in the outcome model. This finding may indicate that eSports talents are not uniformly distributed across the world population. Surprisingly, post-Soviet and planned or post-planned economies are more likely to participate in eSports.
Purpose – This paper aims to examine how a company can build and develop its relational capital in a
digital environment. It searches for proxy-indicators for digital relational capital and explores their impact on
Design/methodology/approach – The paper is designed to sit in the cross-section of two concepts – Big
Data and Intellectual Capital.We analyze eight metrics of digital relational capital (SEMrush rank, Trust flow,
Domain authority, MozRank, Number of pages indexed in Yandex and Google, Thematic Citation Index by
Yandex, Alexa Rank) and examine their impact on company performance by conducting a two-stage fixedeffect
regression. The empirical part of the paper is based on a database of more than 1,000 Russian public
companies from 2010-2016.
Findings – The study justifies eight Big Data-based metrics that enable the estimation of the digital
relational capital of a company. Empirical evidence of a significant impact on corporate performance is
provided. Moreover, a U-shaped configuration of obtained relationships allows for a better understanding of
the phenomenon of digital relational capital and has managerial implications.
Originality/value – Companies can indirectly influence the proposed metrics. The study gives specific
recommendations regarding these metrics to allow companies to optimize their performance. In addition, to
the best of the authors’ knowledge, this is the first empirical research on relational capital through Big Data in
People are intent to make similar choices especially in consumer goods markets. To address both explanations of this persistence,
i.e. state dependence and heterogeneity in preferences, we use random coefficient logit model based on scanner panel data on
juice purchases. The product differentiation of the chosen category allows us to model three dimensions of state dependence on brand, size and flavor characteristics. We provide evidence that the persistence in brand choices is positively correlated with persistence in size and flavor choices, thus the consumer pattern is prone to be inertial or variety seeking in every product characteristics. Simultaneously we show that the more sensitive to price and promotional activities consumers are, the less inertial is their behavior.