Social Investing Modeling for Sustainable Development of the Russian Arctic

The method of the social investing of the Arctic subsoil users is considered in this article. As the portfolio of social investments is formed based on the interests of indigenous peoples, the authors used expert assessment and sociological research for social investing modeling. A two-stage procedure for forming a portfolio of such projects is proposed. An approach has also been developed for assessing and selecting investment projects for the Arctic sustainable development according to different criteria of optimality. The authors substantiate the need for a new approach to sustainable development of the Arctic, based not on compensation for the negative consequences of industrial development used in many countries, but on social investment. In this article the proposed approach is tested on the case of the Arctic indigenous community in Taimyr and the optimal social investing portfolio is justified.

Investments in Pinus elliottii Engelm. Plantations: Real Options Analysis in Discrete Time

Background: The commonly used methods for the financial evaluation of plantation forest investment projects do not incorporate uncertainties and ignore the value related to flexibility. The real options analysis makes it possible to capture these values in investment projects, increasing their value and return. Despite this, studies involving real options in forest investment projects are scarce, specifically those related to Pinus spp. Therefore, this study aimed to: (a) analyze whether the real options analysis adds value to investment projects of Pinus elliottii Engelm. plantations; and (b) make the real options analysis more accessible to forest managers and potentially increase its use in the investment projects of Pinus spp. plantations. Methods: We evaluated two investment projects in P. elliottii plantations in southern Brazil, which differed in the way of obtaining the land for planting: with lease or purchase of land on a planning horizon of 21 years. In the real options analysis, we used deferral, expansion, and abandonment. Results: Individually, the deferral, expansion, and abandonment options add value to investment projects in Pinus elliottii plantations. The option to expand the forested area is one that adds the most value to the investment project with land lease. In the investment project with land purchase, it is abandonment. Conclusions: Investment projects in Pinus elliotti plantations that contemplate the land purchase analyzed through the real options analysis present higher financial returns than those that consider land lease, inverting the result provided by the traditional analysis.

Formation of the composition of programs for the knowledge–intensive industry development using bacterial optimization algorithms and fuzzy logic methods

Today the knowledge–intensive industry development is carried out by the programs that combine a set of innovation and investment projects aimed at achieving a single goal and implemented in general constraints. The presence of a larger number of project characteristics (in particular, terms, resources, performers, etc.), which must be taken into account when forming the composition of the program, leads to the formulation of the problem of multicriteria optimization. As its solution, it is proposed to use an algorithm of bacterial optimization, supplemented by a procedure for forming initial positions using fuzzy logic methods.

Optimization models of investment management in logistics

The textbook is devoted to planning and modeling of investment projects for the development of logistics infrastructure and supply chain management. Both theoretical models of investment management in logistics and practical examples of the use of the proposed methodology in the selection of optimal production programs of the enterprise, management of wholesale purchases of trading firms, analysis of the effectiveness of projects for the creation of warehouse infrastructure, working capital management in the procurement of material resources in industrial logistics are presented. For undergraduate and graduate students specializing in logistics and supply chain management.

Review of Russian scientific researches on Сhinese law of public finance

The article provides a systematic review of the scientific works of Russian legal scholars in the field of public finance law in China, in particular tax, budget and currency law. Today, it is premature to talk about fully functioning schools of Chinese law in the Russian legal science. However, at the same time there are examples of successfully conducted fundamental researches on Chinese public finance law. Authors have to admit that the last few years have not been marked by the appearance of any monograph on Chinese public finance law in Russia – the studies conducted today are usually devoted to specific problems and are published on the pages of the relevant journals. There are obvious reasons for this – difficulties in Chinese language learning and understanding specific Chinese legislation, which is characterized by uncertainty, ambiguity and plurality of sources of law. Existing studies can be classified into studies entirely devoted to the study of particular institutions or branches of Chinese law, and studies of a comparative nature. The article examines and systematizes the work of Soviet and Russian legal scholars devoted to various areas of research in the fields of tax, budget and currency law of China, with an assessment of their significance and contribution to the development of the relevant branch of knowledge. The materials in this article may be useful for future researches, which, in turn, can predetermine the strengthening of bilateral relations, as well as the implementation of joint investment projects. The article allows to identify unexplored areas in the considered field, thereby laying the foundation for future research. Authors note research issues that seem to be perspective based on the conducted review.

Why young people leave the Arctic: the results of sociological research

The article deals with the issues of technogenesis and the evolution of relations with the environment through the example of the industrial development of the Arctic. The economic, environmental, and social aspects of the behavior of the indigenous population, the migration sentiments of the young people in connection with the implementation of investment projects for the development of the territory are analyzed. Particular attention is paid to identifying the relationship between the migration processes and the industrial development of the Arctic, substantiating the participation of mining companies to improve the socio-economic development of the Russian Arctic, and promoting employment. The subject of the study are the economic and social relations, migration attitudes of the local population, and youth, which arise in the process of the industrial development of the territory in the Arctic. Based on the example of conducting sociological surveys of the local population in Taimyr, in the Arctic regions of Yakutia, Karelia, and the Murmansk Region, recommendations are formulated for managing migration processes, promoting employment, income growth, and socio-economic development of the territory within the framework of mining companies’ activities to implement investment projects for the industrial development of the Arctic.

Approach to Prioritizing the Commercial Real Estate Development Risk

After 30 years of war in Sri Lanka, the demand for real estate has increased tremendously across the nation. Similarly, numerous real estate sub-sectors have avidly participated in the worldwide boom. However, with failures and poor functioning of many investment projects, the industry's risk management reputation has been put in jeopardy, followed by the coronavirus (COVID-19). Though it is less popular among Sri Lankan property developers, risk management strategies in development projects have become a pressing requirement. This paper's goal is to look at commercial property development risk elements from the perspective of a real estate developer in relation to Social, Economic, Environmental, Technological, Political, and Pandemic Risks. The research first evaluates risk variables using a super decision software model based on the Analytic Hierarchy Process (AHP), then prioritizes the most important risk factors, and lastly examines effective risk management measures for successful real estate developments. The data collection has been carried out using interviews through telephone conversations with the help of a structured questionnaire. Accordingly, 35 risk factors have been assessed altogether. For the three projects, the synthesized values were 1.0000, 0.510763, and 0.604037, respectively. Based on the analysis of superMatrix calculation, project A is regarded as the best alternative project in such circumstances. Pandemic Risk, Economic Risk, and Political Risk have all had a significant impact on the primary risk criteria. Therefore, COVID-19 Pandemic Risk Emergence, Workforce Availability, Duration, Delays in Council Approval/License Approval Process and Natural Disaster Impact were identified as the highest influenced sub-risk factors. Identifying the risk factors on this avenue will also help in making better investment decisions while increasing the unpredictable nature of the real estate field and future satisfaction of loan team investment goals within the country.