Системное моделирование социально-экономических процессов: труды 37-ой Международной научной школы-семинара, г. Сочи, 30 сентября - 5 октября 2014 г.
Exploring complicated social-economic phenomena, such as corruption, implies understanding various characteristics of the society. In particular, the level of social capital can be judged as an indicator of system efficiency. In this paper we investigate the relations between personal and general trust and corruption perceptions using data from the survey conducted in 2013 in NRU HSE – Nizhny Novgorod master programs.
Preliminary results show that correlation between those parameters happen to differ depending on the type of trust and network characteristics, therefore further analysis of quantitative and qualitative indicators is needed.
The problem of the ensuring safe production makes the analysis of the attracting foreign capital processes more important. In this research the two mechanisms of the FDI distribution in Russian food industry companies are discussed. The influence of regional characteristics and the spatial lags is investigated via estimating hierarchical binary-choice models (with logical complexification) on a sample of Russian food industry companies from RUSLANA database on 2009. According to the results, the main motives are seeking of local market, transport infrastructure and better investment environment. Subindusrtrial heterogeneity was also found, especially concerning to the resource-seeking motive.
In this research the two mechanisms of the FDI distribution in Russian food industry companies are discussed. We investigate regional characteristics and their spatial lags as determinants of the process. To test the influence of these determinants on the probability to have more than 10% of foreign capital in a company we estimate the hierarchical binary-choice models on a sample of Russian food industry companies (from RUSLANA database, on 2009). According to the results, the hierarchical diffusion of foreign investors is motivated by the seeking of local market and by seeking of the efficiency through lower transportation costs and better investment environment. The local resources in innovations are not significant on this level. When the investors develop new regions they take into account almost all the investigated regional characteristics.
One of the most important criteria for selection of partners for the enterprise is the solvency of the entity. Insolvent Corporation does not attract any contractors or investors, as the interaction with them risk to lose their own money and resources. Although the insolvency does not always lead to bankruptcy or liquidation of the enterprise, but always serves as a signal about the adverse financial position for the company's partners. The insolvency of the enterprise can develop according to different scenarios that can be traced to the nature of the changes of financial indicators in dynamics. However, most existing prediction models solvency ignore this feature and do not take into account the retrospective dynamics data, which significantly reduces their accuracy. Therefore, the problem of forecasting of solvency taking into account dynamics of change of financial indicators is relevant.