7 research outputs found

    A "Social Bitcoin" could sustain a democratic digital world

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    A multidimensional financial system could provide benefits for individuals, companies, and states. Instead of top-down control, which is destined to eventually fail in a hyperconnected world, a bottom-up creation of value can unleash creative potential and drive innovations. Multiple currency dimensions can represent different externalities and thus enable the design of incentives and feedback mechanisms that foster the ability of complex dynamical systems to self-organize and lead to a more resilient society and sustainable economy. Modern information and communication technologies play a crucial role in this process, as Web 2.0 and online social networks promote cooperation and collaboration on unprecedented scales. Within this contribution, we discuss how one dimension of a multidimensional currency system could represent socio-digital capital (Social Bitcoins) that can be generated in a bottom-up way by individuals who perform search and navigation tasks in a future version of the digital world. The incentive to mine Social Bitcoins could sustain digital diversity, which mitigates the risk of totalitarian control by powerful monopolies of information and can create new business opportunities needed in times where a large fraction of current jobs is estimated to disappear due to computerisation.Comment: Contribution to EPJ-ST special issue on 'Can economics be a Physical Science?', edited by S. Sinha, A. S. Chakrabarti & M. Mitr

    Finance 4.0 - Towards a Socio-Ecological Finance System

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    This Open Access book outlines ideas for a novel, scalable and, above all, sustainable financial system. We all know that today’s global markets are unsustainable and global governance is not effective enough. Given this situation, could one boost smart human coordination, sustainability and resilience by tweaking society at its core: the monetary system? A Computational Social Science team at ETH ZΓΌrich has indeed worked on a concept and little demonstrator for a new financial system, called β€œFinance 4.0” or just β€œFIN4”, which combines blockchain technology with the Internet of Things (β€œIoT”). What if communities could reward sustainable actions by issuing their own money (β€œtokens”)? Would people behave differently, when various externalities became visible and were actionable through cryptographic tokens? Could a novel, participatory, multi-dimensional financial system be created? Could it be run by the people for the people and lead to more societal resilience than today’s financial system (which is effectively one-dimensional due to its almost frictionless exchange)? How could one manage such a system in an ethical and democratic way? This book presents some early attempts in a nascent field, but provides a fresh view on what cryptoeconomic systems could do for us, for a circular economy, and for scalable, sustainable action

    ΠœΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° ΠΎΡ†Π΅Π½ΠΊΠΈ влияния Π΄ΠΈΡ„Ρ„ΡƒΠ·ΠΈΠΈ Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономичСской систСмы (Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ экономики Π Π€)

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    Distributed data storage technologies are becoming an integral part of the modern economy. In this regard, today it is very relevant to a search for formalized approaches to assessing the impact of blockchain technologies on key parameters of macroeconomic generations. The subject of the research is the system of relations between economic entities of the national economy, associated with the perception of blockchain technologies that permeate economic processes. The aim of the study is to develop a methodological toolkit for scenario forecasting of possible consequences for the national economy of the introduction of blockchain technologies into the economic sector. The authors apply methods of cointegration analysis, scenario modeling, substantiation of the studied patterns by methods of regression analysis, etc. The authors use works of foreign and Russian scientists, official data of the Federal State Statistics Service of the Russian Federation as an information and statistical database. The authors systematize positive and negative externalities; propose an algorithm for studying the influence of blockchain technologies on the dynamics of GDP through the transformation of the key parameters of the functioning of the financial and real sectors of the economy; build a model and assess the possible impact on GDP of the integration of blockchain technologies into the economy. As a result, the authors make the following conclusions: to the greatest extent, the integration of blockchain technologies into the business processes of the national economy affects the change in the financial results of credit institutions, an increase in capital liquidity of economic agents, as well as the acceleration of the processes of socialization of channels of access of business entities to financial markets (expanding access of economic agents to exchanges). Scenario modeling of changes in these factors made it possible to establish that the potential for additional GDP growth in the Russian economy can reach about 1% per year as part of the integration of distributed data storage technologies into the system of economic relations. The developed and approved methods for the formalized assessment of the impact of blockchain technologies on the dynamics of economic growth create the basis for clarifying methodological approaches to the study of the problem posed, open up new opportunities for holding discussion platforms on this topic.Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ распрСдСлСнного хранСния Π΄Π°Π½Π½Ρ‹Ρ… становятся Π½Π΅ΠΎΡ‚ΡŠΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ Ρ‡Π°ΡΡ‚ΡŒΡŽ соврСмСнной экономики. Π’ связи с этим поиск Ρ„ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² ΠΊ ΠΎΡ†Π΅Π½ΠΊΠ΅ влияния Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Π΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ макроэкономичСских Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΉ ΠΊΡ€Π°ΠΉΠ½Π΅ Π°ΠΊΡ‚ΡƒΠ°Π»Π΅Π½. ΠŸΡ€Π΅Π΄ΠΌΠ΅Ρ‚ исслСдования β€” систСма ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΉ экономичСских ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономики, связанных с восприятиСм Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΠΏΡ€ΠΎΠ½ΠΈΠΊΠ°ΡŽΡ‰ΠΈΡ… Π² хозяйствСнныС процСссы. ЦСлью исслСдования являСтся Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° мСтодичСского инструмСнтария сцСнарного прогнозирования Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… послСдствий для Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономики проникновСния Π² Ρ…ΠΎΠ·ΡΠΉΡΡ‚Π²Π΅Π½Π½ΡƒΡŽ срСду Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. Авторы использовали ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ ΠΊΠΎΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, сцСнарного модСлирования, обоснования исслСдуСмых закономСрностСй с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² рСгрСссионного Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ Π΄Ρ€. Π’ качСствС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈ статистичСской Π±Π°Π·Ρ‹ Π΄Π°Π½Π½Ρ‹Ρ… выступали Ρ‚Ρ€ΡƒΠ΄Ρ‹ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½Ρ‹Ρ… ΠΈ российских ΡƒΡ‡Π΅Π½Ρ‹Ρ…, ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅ Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ слуТбы государствСнной статистики Π Π€. БистСматизированы ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΈ ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ экстСрналии; ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ исслСдования влияния Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ Π’Π’ΠŸ Ρ‡Π΅Ρ€Π΅Π· ΠΏΡ€ΠΈΠ·ΠΌΡƒ трансформации ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² функционирования финансового ΠΈ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ сСкторов экономики; построСна модСль ΠΈ Π΄Π°Π½Ρ‹ ΠΎΡ†Π΅Π½ΠΊΠΈ стСпСни Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ воздСйствия Π½Π° Π’Π’ΠŸ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π² экономику. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π°Π²Ρ‚ΠΎΡ€Ρ‹ ΠΏΡ€ΠΈΡˆΠ»ΠΈ ΠΊ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ Π²Ρ‹Π²ΠΎΠ΄Π°ΠΌ: Π² наибольшСй стСпСни интСграция Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π² систСму хозяйствСнных процСссов Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономики влияСт Π½Π° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ финансовых Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΊΡ€Π΅Π΄ΠΈΡ‚Π½Ρ‹Ρ… ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΉ, ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ликвидности ΠΊΠ°ΠΏΠΈΡ‚Π°Π»Π° экономичСских Π°Π³Π΅Π½Ρ‚ΠΎΠ², Π° Ρ‚Π°ΠΊΠΆΠ΅ ускорСниС процСссов социализации ΠΊΠ°Π½Π°Π»ΠΎΠ² доступа Ρ…ΠΎΠ·ΡΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΊ финансовым Ρ€Ρ‹Π½ΠΊΠ°ΠΌ (Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½ΠΈΠ΅ доступа экономичСских Π°Π³Π΅Π½Ρ‚ΠΎΠ² ΠΊ Ρ„ΠΎΠ½Π΄ΠΎΠ²Ρ‹ΠΌ Ρ‚ΠΎΡ€Π³ΠΎΠ²Ρ‹ΠΌ ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΊΠ°ΠΌ). Π‘Ρ†Π΅Π½Π°Ρ€Π½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ измСнСния Π΄Π°Π½Π½Ρ‹Ρ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ, Ρ‡Ρ‚ΠΎ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ роста Π’Π’ΠŸ российской экономики ΠΌΠΎΠΆΠ΅Ρ‚ Π΄ΠΎΡΡ‚ΠΈΠ³Π°Ρ‚ΡŒ порядка 1% Π² Π³ΠΎΠ΄ Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ распрСдСлСнного хранСния Π΄Π°Π½Π½Ρ‹Ρ… Π² систСму хозяйствСнных ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΉ. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½Ρ‹Π΅ ΠΈ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΠ²ΡˆΠΈΠ΅ Π°ΠΏΡ€ΠΎΠ±Π°Ρ†ΠΈΡŽ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Ρ„ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΈ влияния Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ экономичСского роста ΡΠΎΠ·Π΄Π°ΡŽΡ‚ основу для уточнСния мСтодологичСских ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ΠΎΠ² ΠΊ исслСдованию поставлСнной ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹, ΠΎΡ‚ΠΊΡ€Ρ‹Π²Π°ΡŽΡ‚ Π½ΠΎΠ²Ρ‹Π΅ возмоТности для провСдСния дискуссионных ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΎΠΊ ΠΏΠΎ Π΄Π°Π½Π½ΠΎΠΉ Ρ‚Π΅ΠΌΠ΅

    Inferring short-term volatility indicators from Bitcoin blockchain

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    In this paper, we study the possibility of inferring early warning indicators (EWIs) for periods of extreme bitcoin price volatility using features obtained from Bitcoin daily transaction graphs. We infer the low-dimensional representations of transaction graphs in the time period from 2012 to 2017 using Bitcoin blockchain, and demonstrate how these representations can be used to predict extreme price volatility events. Our EWI, which is obtained with a non-negative decomposition, contains more predictive information than those obtained with singular value decomposition or scalar value of the total Bitcoin transaction volume

    Constructing Effective Customer Feedback Systems -- A Design Science Study Leveraging Blockchain Technology

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    Organizations have to adjust to changes in the ecosystem, and customer feedback systems (CFS) provide important information to adapt products and services to changing customer preferences. However, current systems are limited to single-dimensional rating scales and are subject to self-selection biases. This work contributes design principles for CFS and implements a CFS that advances current systems by means of contextualized feedback according to specific organizational objectives. It also uses blockchain-based incentives to support CFS use. We apply Design Science Research (DSR) methodology and report on a longitudinal DSR journey considering multiple stakeholder values. We conducted expert interviews, design workshops, demonstrations, and a four-day experiment in an organizational setup, involving 132 customers of a major Swiss library. This validates the identified design principles and the implemented software artifact both qualitatively and quantitatively. Based on this evaluation, the design principles are revisited and conclusions for the construction of successful CFS are drawn. The findings of this work advance the knowledge on the design of CFS and provide a guideline to managers and decision makers for designing effective CFS

    ΠšΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚Π°, ΠΊΠ°ΠΊ качСствСнно Π½ΠΎΠ²Ρ‹ΠΉ ΠΏΠ»Π°Ρ‚Π΅ΠΆΠ½Ρ‹ΠΉ инструмСнт ΠΈ пСрспСктивы Π΅Π΅ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Π² ΠΌΠΈΡ€ΠΎΠ²ΡƒΡŽ Ρ„ΠΈΠ½Π°Π½ΡΠΎΠ²ΡƒΡŽ систСму

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    ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹ – ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ соврСмСнныС Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΈ ΠΈ состояниС ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° Π²Π΅Π΄ΡƒΡ‰ΠΈΡ… ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚ ΠΈ ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Π΅ пСрспСктивы ΠΈΡ… дальнСйшСго развития ΠΈ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Π² ΠΌΠΈΡ€ΠΎΠ²ΡƒΡŽ Ρ„ΠΈΠ½Π°Π½ΡΠΎΠ²ΡƒΡŽ систСму. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования. РСтроспСктивно прослСТСна история происхоТдСния ΠΈ становлСния Π‘ΠΈΡ‚ΠΊΠΎΠΈΠ½Π° (Bitcoin), рассмотрСны Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ особСнности Β«Π‘Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½Β» (Β«BlockchainΒ»). ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΈ ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ стороны Ρ€Π°Π±ΠΎΡ‚Ρ‹ с ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚Π°ΠΌΠΈ. РассмотрСна блиТайшая ΠΏΠΎ ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΊ Π‘ΠΈΡ‚ΠΊΠΎΠΈΠ½Ρƒ ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚Π° Π­Ρ„ΠΈΡ€ (Ethereum) ΠΈ ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ основныС различия ΠΌΠ΅ΠΆΠ΄Ρƒ Π½ΠΈΠΌΠΈ. На основС ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ исслСдования сформирован ΠΏΡ€ΠΎΠ³Π½ΠΎΠ· ΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ вСроятном Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΈ развития Ρ€Ρ‹Π½ΠΊΠ° ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚ Π½Π° блиТайшСС Π±ΡƒΠ΄ΡƒΡ‰Π΅Π΅ ΠΈ ΠΎ возмоТности ΠΈΡ… ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Π² ΠΌΠΈΡ€ΠΎΠ²ΡƒΡŽ Ρ„ΠΈΠ½Π°Π½ΡΠΎΠ²ΡƒΡŽ систСму. ВСорСтичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ исслСдования. НастоящСС исслСдованиС ΠΈ Π΅Π³ΠΎ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π±ΡƒΠ΄ΡƒΡ‚ ΡΠΏΠΎΡΠΎΠ±ΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡŽ глобальной Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Π·Π°Π΄Π°Ρ‡ΠΈ – Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ Π½Π°ΡƒΡ‡Π½ΠΎ-обоснованного мнСния акадСмичСской Π½Π°ΡƒΠΊΠΈ ΠΊ Π½ΠΎΠ²ΠΎΠΌΡƒ Ρ„Π΅Π½ΠΎΠΌΠ΅Π½Ρƒ Π² экономикС – ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚Π°ΠΌ ΠΈ ΠΈΡ… Ρ€ΠΎΠ»ΠΈ Π² ΠΌΠΈΡ€ΠΎΠ²ΠΎΠΉ финансовой систСмС. ΠžΡ€ΠΈΠ³ΠΈΠ½Π°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ/Ρ†Π΅Π½Π½ΠΎΡΡ‚ΡŒ/научная Π½ΠΎΠ²ΠΈΠ·Π½Π° исслСдования. Π Π°Π±ΠΎΡ‚Π° являСтся ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π½Π΅ΠΌΠ½ΠΎΠ³ΠΈΡ…, посвящСнных Π½ΠΎΠ²ΠΎΠΌΡƒ явлСнию Π² экономикС – ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚Π°ΠΌ; прСдставлСны авторскиС ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Ρ‹ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… направлСниях дальнСйшСго развития Ρ€Ρ‹Π½ΠΊΠ° ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚. ΠŸΠ΅Ρ€ΡΠΏΠ΅ΠΊΡ‚ΠΈΠ²Ρ‹ Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠΈΡ… исслСдований. Настоящая Ρ€Π°Π±ΠΎΡ‚Π° ΠΎΡ‚ΠΊΡ€Ρ‹Π²Π°Π΅Ρ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠΈΡ… исслСдований Π² области Ρ€Ρ‹Π½ΠΊΠ° ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚, Π΅Π³ΠΎ дальнСйшСго развития ΠΈ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Π² ΠΌΠΈΡ€ΠΎΠ²ΡƒΡŽ Ρ„ΠΈΠ½Π°Π½ΡΠΎΠ²ΡƒΡŽ систСму. Π’ΠΈΠΏ ΡΡ‚Π°Ρ‚ΡŒΠΈ – эмпиричСская
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