Partner’s Perceived Social Support Influences Their Spouse’s Inflammation: An Actor–Partner Analysis

Social support has been linked to lower cardiovascular morbidity and mortality. However, most studies have examined perceived support as an intrapersonal construct. A dyadic approach to social support highlights how interdependence between individuals within relationships, including partner perceptions and interactions, can influence one’s health. This study’s overall purpose was to test actor–partner models linking perceived social support to inflammation. Ninety-four cisgender married couples completed perceived support measures and had their blood drawn for CRP and IL-6 to produce an overall inflammatory index. The primary results indicate that only a partner’s level of perceived support was related to lower inflammation in their spouse. Our sample size, although moderate for inflammatory studies, was probably not large enough to detect actor influences. These data highlight the importance of taking a dyadic perspective on modeling perceived support and its potential mechanism.

State support for small and medium-sized enterprises in the Moscow region under current conditions

The article considers the сhallenges for small and medium-sized businesses in obtaining government support during the pandemic and post-pandemic period. The reasons preventing people from obtaining support measures, as well as tangible and non-tangible state support measures for businesses in the Moscow region and the support measures provided by banks and lending institutions have been reviewed. Data from reputable source studies on identifying the difficulties caused by state and non-state support measures, in particular the problem of banks refusing to allow small and medium-sized businesses to defer accrued interest at a concessionary rate have been presented. The problem has been the distribution of support to small and medium-sized enterprises according to the type of economic activity, as not all enterprises fit the required activities. Examples have been given of sectors that have restructured their business in the new environment. A list of support measures for small and medium-sized enterprises has been proposed.

Mathematical Modeling of Knowledge-Intensive Products Export Energy Costs

This article presents the mathematical modeling of export energy costs. The knowledge-intensive products export energy costs are a set of financial, material, labor costs and resources consumption. Export costs are a multilevel system of indicators. The author sets out the order of mathematical modeling. At the first stage, the main trends in reducing export energy costs are identified. A set of integrated logistics support measures is modeled. The modeling of knowledge-intensive products export energy costs is a system of technical and economic indices and a cost value dependance: Maintenance and Repair, Material and Technical Maintenance, Business Model of After-Sales Service, Formation of the Cost of Insurance and Investment Management Strategy. Formulas, practical calculation examples and graphs are presented. The Ishikawa systematic analysis method is used to visualize data and dependence relations. The author's mathematical modeling of knowledge-intensive products export costs includes the calculation of integrated logistic support costs. Exporting countries require a high level of technical products efficiency. It has been established that "the more complex a knowledge-intensive products is, the higher the reliability of systems is". Reliability indices are basic. The author's scientific study confirms a hypothesis of the knowledge-intensive products export feasibility only with high reliability and efficiency factors. The author developed a set of integrated logistical support measures for knowledge-intensive products.

Spread and conditions of Social Innovation Research in Austria in the field of Social Sciences

This paper scrutinises the spread and the conditions of social innovation research in Austria in social sciences. Although the empirical results are inconclusive, social innovation is definitely not a marginal topic in social sciences in Austria. More than 80% of the responding social scientists deal with social innovation at different levels of intensity. It also seems that social innovation works well for the overall self-representation of the universities. The construct of social entrepreneurship has probably contributed most to anchoring the notion of social innovation in the higher education sector in Austria, especially in teaching. Although some curricula and courses are more confined to traditional business school topics, some transcend the narrow business focus towards sociological and political approaches. The academic embedding of social innovation in Austria, however, is still hampered by structural factors. Our findings show a lack of both tangible and intangible support measures.

Posttraumatic Growth after the Fukushima Nuclear Disaster: Examination of Free Descriptions among Fukushima Residents Who Lived in the Evacuation Area

We examined the differences in the posttraumatic growth (PTG) free descriptions from clusters of Fukushima residents (evacuation and non-evacuation zones) who experienced the Great East Japan Earthquake, and the relationship between “recovery from radiation anxiety” and the PTG-free description classification in these regions. A mail survey was conducted in August 2016 among Fukushima residents aged 20–79 years for free descriptions of their PTG. Participants were then divided into the “no anxiety,” “recovered from anxiety,” and “unrecovered from anxiety” groups based on their “recovery from radiation anxiety.” Data from 786 responses were analyzed. The PTG-free descriptions were classified into eight categories. Among those who lived in the evacuation zone versus those in the non-evacuation zone, “relating to others” (non-evacuation zone: 11.9% vs. evacuation zone: 18.4%) and “appreciation of life” (non-evacuation zone: 2.7% vs. evacuation zone: 9.8%) were significantly higher, and “increased awareness of disaster prevention” (non-evacuation zone: 20.4% vs. evacuation zone: 8.0%) was significantly lower. In the evacuation zone, “renewed recognition of nuclear issues” was significantly lower than the expected value in the no anxiety group (3.1%) and significantly higher than the expected value in the recovered group (22.9%). Further studies are needed to build support measures and potentially aid in preparing for future disasters.

Government support measures: an effective choice process

The article discusses issues related to the ability of industrial enterprises to navigate the existing range of government support measures and make their effective choice. The author proposes an algorithm that will allow enterprises, after analyzing their strategic goals, to identify projects that allow them to implement priority areas for a particular enterprise and select the most effective measures of state support. The algorithm has been tested on the basis of support measures provided by the industrial development fund, practices for the successful implementation of support measures at industrial enterprises are given.

Key instruments of state regulation of the industrial sector

The article provides an analysis of financial and non-financial instruments of state regulation of the industrial sector. The studies carried out on the use of support measures by high-tech and innovative enterprises in different sectors of the economy show their high interest in obtaining it. It was revealed that the maximum demand for a state support measure is about twenty-five percent, while on average it does not exceed 10%. The concern is caused by the inability of enterprises to use several support measures at the same time, most often they apply for one measure for a specific investment project. The use of support measures in combination will allow industrial enterprises to effectively implement their strategic plans and form an increasing vector of industry development.

IFRS9 e le sfide di contesto

Under IFRS9, Financial Institutions are required to implement impairment frameworks to determine the expected losses on their credit portfolio taking into account the current (so called “point in time”) and the prospective (so called “forward looking”) economic cycle. The Covid-19 pandemic, which began in early 2020, has posed significant challenges for Financial Institutions in their ability to manage credit risk. Despite numerous guidelines given by regulators, estimating IFRS9 expected loss continues to be a considerable challenge. The challenge partly stems from the relationship between macro-economic scenarios and credit losses, the treatment of moratoriums inside the historical series for development and calibration of IFRS9 risk parameters, and the management of support measures defined at National and European levels (e.g. Next Generation EU) for the forward looking estimations.

Promoting agricultural and food exports

The growth of agricultural exports is due to a focused state policy that ensures the development of the Russian agro-industrial complex. The mechanisms used to stimulate agricultural and food exports are divided into general (federal) and individual financial and non-financial support instruments (regional), have different degrees of demand by agricultural producers and different regional involvement in their application. There was an increase in exports, a low share in the export of deep processing products, a discrepancy between the placement of agricultural production and the structure of exports, an expansion of state support measures, their positive and negative impact on the market, various regional involvement in export processes, and a high concentration of exports in the Rostov region.

World 2021: Pandemic and economic problems remain acute

The global economy continues to grow, albeit mainly due to large-scale support measures from governments and regulators. Moreover, the latter are not sure about the prospects for such development, since the economies do not demonstrate the potential for independent growth. As a result, in order to stimulate it, regulators are forced to expand the range of their tools, mechanisms, approaches, otherwise the risks to the stability of the global financial and economic system increase. All this is happening against the background of negative rates, which have become virtually ubiquitous and persist for a long time. New growth records are being set in the stock markets, and their gap from the real economy is growing. A number of sectors are beginning to dominate, forming distortions and bubbles in the markets. In such conditions, the importance of digital money, ecosystems, etc. increases. Moreover, the faster and more efficiently regulators can integrate into these formats, the more successful business, the population, and the economy as a whole will be.