Evaluating energy financing considerations and sustainable energy innovation with the role of financial development and energy development

[EN] The purpose of the study is to test the role of energy development in energy financing considerations for sustainable energy innovation and financial development. To achieve the study objective, a fuzzy decision-making modeling technique is applied. The results revealed that bank loans are now the main source of financing for innovation and creativity in Chinese business entities. Project-based financing might be replaced with collaborative and sustainable energy innovation (CSI), warranting energy development. Moreover, green financing loan schemes invest both public and private funds in sustainable energy innovation to capitalize on financial development through sustainable energy innovation. The consideration and application of financial consideration for sustainable energy innovation-financing projects or companies are limitless. Providing for screening energy development cooperation proposals with small financial payback hurdle rates might have large opportunity costs. There may be a case for governments to increase industrial growth, improve resource efficiency, and increase factor productivity while tackling climate change. Economic growth in China may have an even greater influence on environmental sustainability than in other countries. On such points, there is a need to pay the attention. If the suggested policy suggestions are implemented successfully, they would help to enhance the scope of financing considerations for sustainable energy innovation to uplift financial development through energy development mechanisms at the corporate level.The research is partially funded by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program "Priority 2030" (Agreement. 075-152021-1333 dd 30.09.2021).Barykin, SE.; Sergeev, SM.; Mottaeva, AB.; De La Poza, E.; Baydukova, NV.; Gubenko, AV. (2022). Evaluating energy financing considerations and sustainable energy innovation with the role of financial development and energy development. Environmental Science and Pollution Research. 30:6849-6863. https://doi.org/10.1007/s11356-022-22576-x684968633

Sustainability of Management Decisions in a Digital Logistics Network

[EN] Globalization has given a powerful impetus to the development of international commercial activity and logistics management systems taking full advantage of cross-border networking. The solution lies at the intersection of information technologies, technical means of machine-to-machine (M2M) interaction, mobile high-speed networks, geolocation, cloud services, and a number of international standards. The current trend towards creating digital logistics platforms has set a number of serious challenges for developers. The most important requirement is the condition of sustainability of the obtained solutions with respect to disturbances in the conditions of logistics activities caused not only by market uncertainty but also by a whole set of unfavorable factors accompanying the transportation process. Within the framework of the presented research, the problem of obtaining the conditions for the stability of solutions obtained on the basis of mathematical models is set. At the same time, the processes of transferring not only discrete but also continuous material flows through complex structured networks are taken into account. This study contains the results of the analysis of the stability of solutions of differential systems of various types that simulate the transfer processes in network media. Initial boundary value problems for evolutionary equations and differential-difference systems are relevant in logistics, both for the discrete transportation of a wide range of goods and for the quasi-continuous transportation of, for example, liquid hydrocarbons. The criterion for the work of a logistics operator is the integral functional. For the mathematical description of the transport process of continuous and discrete media, a wide class of integrable functions are used, which adequately describe the transport of media with a complex internal rheological structure.The reported study was funded by RFBR according to the research projet No 20-014-00029.Barykin, SE.; Borisoglebskaya, LN.; Provotorov, VV.; Kapustina, IV.; Sergeev, SM.; De La Poza, E.; Saychenko, L. (2021). Sustainability of Management Decisions in a Digital Logistics Network. Sustainability. 13(16):1-15. https://doi.org/10.3390/su13169289S115131

Digital Echelons and Interfaces within Value Chains: End-to-End Marketing and Logistics Integration

[EN] The goals of real business in the context of the digital transformation of international logistics networks and marketing channels have necessitated the application of a scientifically based theoretical approach to the development of a formalized description acceptable for predictive planning based on leading indicators. In the context of globalization and interstate and regional economic unions, this will lead to achieving the maximum end-to-end integration of digital platforms. Based on the analysis, the article presents the integration of digital logistics and marketing approaches with the mathematical models of the ecosystem organization of economic relations. The features of the organization of economic relations between contractors involved in the execution of virtual transactions and the material movement of resources were analyzed. The researchers considered prerequisites for the analytical description of interconnections between the participants of digital platforms in cross border e-commerce. The authors' approach is based on the idea of both a sales funnel in marketing and a conversion funnel in digital transformation. Considering the integration of logistics and marketing, authors offer the definition of business echelons as stages of the consumer value creation. The theoretical contribution of this article consists in constructing a mathematical description of business echelons along the entire value chain. The developed analytical description of business echelons is acceptable both for embedding a digital management support system into various software products, and for conducting in-depth analysis and finding optimal solutions.The research of S.E.B., S.M.S. and I.V.K. is partially funded by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program Priority 2030 (Agreement 075-15-2021-1333 dated 30 September 2021).Barykin, SE.; Smirnova, EA.; Chzhao, D.; Kapustina, IV.; Sergeev, SM.; Mikhalchevsky, YY.; Gubenko, AV.... (2021). Digital Echelons and Interfaces within Value Chains: End-to-End Marketing and Logistics Integration. Sustainability. 13(24):1-18. https://doi.org/10.3390/su132413929S118132

Quantium-grouping methods in theory of exactly solvable two-dimensional statistical systems

The construction and classification of exactly solvable models are the aim of the paper. As a result splicers for exceptional groups have been obtained. The series of exactly solvable models in two and three measurements has been constructed. The realistic model of the symmetry disturbance by a magnetic field in the system of free parafermions has been obtainedAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio

Algorithmic Foundations of Economic and Mathematical Modeling of Network Logistics Processes

Nowadays, digitizing the data stream is enabling the evolution of logistics processes. The data-driven network logistics processes are evaluated by leading economic indicators. The purpose of this study is to further develop the algorithmic foundations of economic and mathematical modeling of logistics networks based on advanced technologies that the digitalization process provides. Methods of mathematical modeling of flows of various resources in logistic networks, the structure of which is presented in the form of a graph, are used in the work. The economic benefit lies in the implementation of the planning concept based on leading indicators. As a result, using a set of formalisms, a mathematical model has been developed, which will make it possible to search for optimal solutions based on the criterion of economic efficiency. The results obtained will find application not only in transport problems. Network logistics includes the transportation of liquid and gaseous materials through pipelines, energy through electrical networks. A universal mathematical model will allow the results to be applied in many industries and economic activities when it is required to make economically sound decisions based on a stream of digital data coming in real time

Smart city perspectives in post-pandemic governance: Externalities reduction policy

[EN] Background: The ongoing COVID-19 quarantine restrictions have caused multiple sharp decreases in activities associated with the movement of large masses of people. The economies of regions and cities that are critically dependent on tourist flows related to various segments have suffered. This research aims to provide an economic-mathematical model of smart cities externalities¿ impact from the point of view of achieving social and environmental goals Methods: The objective of this study was to develop an algorithm for supporting decision-makers. Methods of mathematical modeling, statistical processing of data received in real-time, as well as methods for finding solutions by expansion into dynamic series are used, and the theory of mathematical games is applied. The theoretical mathematical model presented considers the statistical processing of data provided in real time referring to the performance indicators of megacities. Results: The activities of administrations and governments aimed at maintaining stability over the past two years have been aimed at reducing the negative impact of the pandemic. The prospect of returning to normal conditions is complicated by a number of factors. The proposed approach allows the development of the fundamental basis for making administrative decisions within individual megapolises and in environmental policy on a territory of any scale. The developed mathematical model is abstract by definition and is applied by taking into account specific tasks and criteria. Since the tasks of the administration differ depending on the region and country, the choice of criteria is set individually. Conclusions: During the period of isolation, the volume of services in the Hotel - Restaurant- Catering/Café (HORECA) segment has decreased, and personnel has also been lost. The reduced pressure on public infrastructure and the departure of migrants means that, in the long term, this work cannot be restored within a short period of time.The work was supported by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program 'Priority 2030' (Agreement 075-15-2021-1333 dated 30 September 2021). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscriptDe La Poza, E.; Kalinina, OV.; Barykin, SE.; Sergeev, SM.; Semenova, GN.; Fatkullina, A.; Mikhaylov, A. (2022). Smart city perspectives in post-pandemic governance: Externalities reduction policy. F1000Research. 11(1032):1-12. https://doi.org/10.12688/f1000research.123195.111211103

Digital Logistics Platforms in the BRICS Countries: Comparative Analysis and Development Prospects

The BRICS Group unites the most rapidly developing large countries, the trade and economic interaction between which can make a significant contribution to both the region’s and world’s development. The purpose of this article is to analyze the development of trade and economic interaction and logistics infrastructure in the BRICS countries, as well as to develop an analytical concept of the BRICS Digital Logistics Platform (DLP) as a tool for the BRICS development. The research methodology includes methods for statistical data analysis, a case study of the DLP development in the BRICS countries, an analysis of the existing definitions and methods for developing DLP, and methods of systemic analysis. The research results present the trade and logistics interaction between the BRICS countries. The level of logistics development in these countries is analyzed based on the World Bank Logistics Performance Index. The article highlights the existing restrictions for the expansion of the economic interaction between countries, one of which is the uneven development of the logistics infrastructure. The article states that the BRICS DLP can be a tool for overcoming the limitation of uneven logistics infrastructure and intensifying trade interaction between the BRICS countries. The experience of creating national DLPs in each of the BRICS countries is analyzed. It is shown that the BRICS countries cannot join one of the existing national DLPs because of the risks for the national sovereignty of the participants. Therefore, an original analytical description for the international BRICS DLP is proposed. It will focus on the simplicity and transparency of the interaction between all of the participants of trade and economic interactions at various levels, as well as on the reduction of economic and logistics risks

Predicting Volatility Index According to Technical Index and Economic Indicators on the Basis of Deep Learning Algorithm

The Volatility Index (VIX) is a real-time index that has been used as the first measure to quantify market expectations for volatility, which affects the financial market as a main actor of the overall economy that is sensitive to the environmental and social aspects of investors and companies. The VIX is calculated using option prices for the S&P 500 Index (SPX) and is expressed as a percentage. Taking into account that VIX only shows the implicit volatility of the S&P 500 for the next 30 days, the authors develop a model for a near-optimal state trying to avoid uncertainty and insufficient accuracy. The researchers are trying to make a contribution to the theory of socially responsible portfolio management. The developed approach allows potential investments to make decisions regarding such important topics as ethical investing, performance analysis, as well as sustainable investment strategies. The approach of this research allows to use deep probabilistic convolutional neural networks based on conditional variance as a linear function of errors with the aim of estimating and predicting the VIX. For this purpose, the use of technical indicators and economic indexes such as Chicago Board Options Exchange (CBOE) VIX and S&P 500 is considered. The results of estimating and predicting the VIX with the proposed method indicate high precision and create a certainty in modeling to achieve the goals

Sustainable Energy Efficient Human-Centered Digital Solutions for ESG Megacities Development

[EN] This study demonstrates algorithms that assist municipal administrations to make the best environmental decisions. The algorithms developed by large alpha-class municipal governments with assistance of department of environmental agency data analyst. Mathematical and econometric modeling techniques as well as optimum solution theories adhered to develop a model, and the criteria is functionality, which reflects a balance between maximum profit, comfort in living circumstances, the environment, and the need to avoid a market failure scenario. The ensuing results allow for the most optimal administrative decisions, such as the rate of environmental taxes. The empirical findings show that higher environmental, social and governance performance and digital finance has improved the corporate financing efficiency, as well as the influence of ESG performance on energy efficiency, all at a 1% significance level.The research was partially funded by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program "Priority 2030" (Agreement 075-15-2021-1333 dated 30.09.2021).Barykin, SE.; Sergeev, SM.; Kapustina, IV.; De La Poza, E.; Danilevich, DV.; Mottaeva, AB.; Andreeva, LO.... (2022). Sustainable Energy Efficient Human-Centered Digital Solutions for ESG Megacities Development. Frontiers in Energy Research. 10:1-8. https://doi.org/10.3389/fenrg.2022.938768181