The Handbook of Research on International Collaboration, Economic Development, and Sustainability in the Arctic discusses the perspectives and major challenges of the investment collaboration and development and commercial use of trade routes in the Arctic. Featuring research on topics such as agricultural production, environmental resources, and investment collaboration, this book is ideally designed for policymakers, business leaders, and environmental researchers seeking coverage on new practices and solutions in the sphere of achieving sustainability in economic exploration of the Artic region

This book contains a selection of papers accepted for the presentation and discussion at the 2018 International Conference on Digital Science (DSIC’18). This Conference had the support of the Institute of Certified Specialists, Russia, AISTI (Iberian Association for Information Systems and Technologies), and Springer. It will take place Convention Centre, Budva, Montenegro, October 19-21, 2018.

DSIC’18 is an international forum for researches and practitioners to present and discuss the most recent innovations, trends, results, experiences, and concerns in the several perspectives of Digital Science. The main idea of this Conference is that the world of science is united allowing all scientists/practitioners to be able to think, analyze, and generalize their thoughts.

DSIC aims efficiently to disseminate original research results in natural, social, art, and humanities sciences. An important characteristic feature of the Conference should be the short publication time and worldwide distribution. This Conference enables fast dissemination, so conference participants can publish their papers in print and electronic format, which is then made available worldwide and accessible by numerous researchers.

The Scientific Committee of DSIC’18 was composed of multidisciplinary group of 26 experts. One hundred and seven invited reviewers who are intimately conceded with Digital Science have had the responsibility for evaluating, in a “double-blind review” process, the papers received for each of the main themes proposed for the Conference: Digital Art and Humanities; Digital Economics; Digital Education; Digital Engineering, Digital Environmental Sciences; Digital Finance; Business and Banking; Digital Media; Digital Medicine; Pharma and Public Health; Digital Public Administration; Digital Technology and Applied Sciences.

DSIC’18 received 88 contributions from 16 countries around the world. The papers accepted for the presentation and discussion at the Conference are published by Springer (this book) and will be submitted for indexing by ISI, SCOPUS, among others.

Working Title: From Corporate Social Responsibility to Corporate Social Liability

Subtitle: A Socio-Legal Study of Corporate Liability in Global Value Chains

Series: N/A 

 

The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia. The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

This book contains a selection of papers accepted for the presentation and discussion at the 2018 International Conference on Digital Science (DSIC’18). This Conference had the support of the Institute of Certified Specialists, Russia, AISTI (Iberian Association for Information Systems and Technologies), and Springer. It will take place at Convention Centre, Budva, Montenegro, October 19–21, 2018. DSIC’18 is an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences, and concerns in the several perspectives of Digital Science. The main idea of this Conference is that the world of science is unified and united allowing all scientists/practitioners to be able to think, analyze, and generalize their thoughts. DSIC aims efficiently to disseminate original research results in natural, social, art, and humanities sciences. An important characteristic feature of the Conference should be the short publication time and worldwide distribution. This Conference enables fast dissemination, so conference participants can publish their papers in print and electronic format, which is then made available worldwide and accessible by numerous researchers. The Scientific Committee of DSIC’18 was composed of a multidisciplinary group of 26 experts. One hundred and seven invited reviewers who are intimately concerned with Digital Science have had the responsibility for evaluating, in a “double-blind review” process, the papers received for each of the main themes proposed for the Conference: Digital Art and Humanities; Digital Economics; Digital Education; Digital Engineering; Digital Environmental Sciences; Digital Finance, Business and Banking; Digital Media; Digital Medicine, Pharma and Public Health; Digital Public Administration; Digital Technology and Applied Sciences. DSIC’18 received 88 contributions from 16 countries around the world. The papers accepted for the presentation and discussion at the Conference are published by Springer (this book) and will be submitted for indexing by ISI, SCOPUS, among others.

The student's book is based on the CLIL approach to teaching and teaches case study solving skills via English language learning. Such an approach creates positive environment for students to master new knowledges and skills. 

I argue that the rather unfavorable conclusions of the three papers in the session on "Coordination and Tradeoffs" might not be as bad as they seem. In particular, I dwell on challenges facing the central bank using an interest rate that is different from the risk-free rate in its Taylor rule, and show that proper redefinition of the intercept and the slope of the rule allows avoidance of inflationary bias and preserves the stability of equilibrium.

Due to the need to reindustrialize the domestic industry at the post-industrial stage of development, it has become necessary to implement megaprojects aiming at the qualitative makeover of the national economy. The purpose of this paper is to develop an industrial megaproject risk management model and methodological support based on a comparative analysis of existing approaches and using Russian and international experience. The research has resulted in two megaproject risk management models: a fragmentary model and a comprehensive one. A risk mitigation potential analysis for ongoing megaprojects has been performed confirming the efficiency of use of the comprehensive megaproject risk management model. The suggested comprehensive risk management model allows taking into consideration the main distinctive feature of modern megaprojects, i.e. multiplicity of management entities operating on the basis of the partnership principle.

Whether professional or amateur, sports businesses must develop their brand and image to meet the expectations of a diverse environment, consisting of fans, sponsors, and other stakeholders. The value and instruments of market research can provide the required resources for sports businesses to realize their plans. In Market Research in the Sports Industry, Jasenko Ljubica and Neven Seric provide a comprehensive elaboration of market research methods to be used by sports businesses. The book identifies and explains the most effective uses of market research, drawing upon real-life case studies. The application of the methods presented in this book, ranging from the simplest - monitoring the environment to the most complex sampling methods, can significantly contribute to the development of sports businesses by increasing the number of members, sponsors, followers and fans. The book will be invaluable for researchers, educators and students of Sports Management and Marketing, and it will also prove useful to sporting professionals seeking to gain a competitive edge in the market.

Increasing cooperation through greater interdependency of the organizational networks structures is a topical issue for a diverse range of industries, including the energy sector However, despite the advantages of such form of activity, Russian organizations do not tend to cooperate. An extensive analysis of the techno-economic network of the Russian power sector innovation ecosystem made it possible to identify hub-organizations which could be regarded as the catalysts for partnership development. Hence, the purpose of this paper is to elaborate the mechanisms of target network creation behind hubs’ involvement in the network expansion. Thus, it could provide a solid foundation not only for an increased number of partnerships but could also serve the purpose of embedding companies in the strategic activity ultimately enabling them to achieve competitive parity with the rest of the world.

Book of Proceedings

The regulatory policy report is the latest in a series written in cooperation with the Higher School of Economics and expert and business communities during the work on a comprehensive strategy to modernize the public administration system in Russia. For CSR, changing the regulatory policy along with introducing modern managerial approaches to public administration, personnel policy, and large-scale digital transformation, is a priority for successful structural reforms.

The ideas and suggestions on the regulatory policy presented by CSR were of great interest to the Russian business community. CSR received dozens of conceptual proposals from experts, businessmen, and public officials from all over Russia. We worked on promising regulatory policy tools and a comprehensive strategy for two years and a major part of our deliverables can be found in Chapter 3 of this report. Many of these proposals were also included in the Development Strategy for 2018–2024 presented by CSR at the request of the Russian President.

This book provides a critical account of the third sector and its future in Europe. It offers an original conceptualization of the third sector in its European manifestations alongside an overview of its major contours, including its structure, sources of support, and recent trends. It also assesses the impact of this sector in Europe which considers its contributions to European economic development, citizen well-being and human development.

The Third Sector As A Renewable Resource for Europe presents the findings of the Third Sector Impact (TSI) project funded by the European Union’s Seventh Framework Program (FP7). It recognises that in a time of social and economic distress, as well as enormous pressures on governmental budgets, the third sector and volunteering represent a unique ‘renewable resource’ for social and economic problem-solving and civic engagement in Europe.

The past few decades have witnessed the development of an increasingly globalised and multipolar world order, in which the demand for multilateralism becomes ever more pronounced. The BRICS group established in 2009, has evolved into a plurilateral summit institution recognized both by sceptics and proponents as a major participant in the international system.

Addressing the BRICS’s role in global governance, this book critically examines the club’s birth and evolution, mechanisms of inter-BRICS cooperation, its agenda priorities, BRICS countries’ interests, decisions made by members, their collective and individual compliance with the agreed commitments, and the patterns of BRICS engagement with other international institutions. This volume advances the current state of knowledge on global governance architecture, the BRICS role in this system, and the benefits it has provided and can provide for world order.

This book will interest scholars and graduate students who are researching the rise and role of emerging powers, global governance, China and India’s approach to global order and relationship with the United States, Great Power politics, democratization as a foreign policy strategy, realist theory-building and hegemonic transitions, and the (crisis of) liberal world order.

This volume offers profound analyses of the main theoretical and practical aspects of the concept of sustainable development: namely, current environmental problems; the building of green economies; climate policies; specifics of international cooperation in the sphere of sustainable development; specific features of business and government involvement in implementing sustainable development; the role of civil society; its social and gender aspects; and specific characteristics of national models of sustainable development. The focus on the international aspects of the implementation of sustainable development ideas makes the insights offered here fresh and unique.

Human capital is produced primarily by the education system. Today it is the most important factor in the development of economy and society. By investing in human capital, economic growth rates above the average world-level can be achieved, which is necessary in order to strengthen Russia’s positions in the context of increasing global competition. The report proposes 12 projects, aiming not only for the development of education, but for making a decisive contribution to the “breakthrough” of the country in economic, social and technological development by activating the creative potential of the Russian population as a whole and self-realization of each individual. The ultimate result of all the proposed 12 solutions will be a steady increase in the quality of life of the Russian people.

The 2017 Fifth International Conference on Management and Technology in Knowledge, Service, Tourism & Hospitality (SERVE 2017) was held on 21-22 October 2017 and on 30 November 2017, in Bali, Indonesia and at the Financial University under the Government of the Russian Federation, Moscow, Russia. The theme of the conference was "Financial and Economic Tools Used in the World Hospitality Industry".

Conference contributions dealt with various interdisciplinary research topics, particularly in the fields of social sciences, economics, business, management, education, and finance. Through this conference proceedings volume, we propose to launch a renewed discussion of how financial and economic tools can be used in the world hospitality, service, and tourism industries. The purpose of this volume is to develop new theoretical and empirical knowledge that explores the possibilities of developing tourism, hospitality, service industries in sharing economy. These proceedings should be of interest to academics and professionals in the wider field of social sciences, including disciplines such as education, psychology, tourism and knowledge management.

 

The paper contains the results of the study on the systematization and formalization of specialized approaches to planning supply chains of leading metal companies and comparison of these practices with the standard supply chain management models SCOR & CCOR & DCOR and GSCF. The paper defines the main directions of development of the methodology of supply chain planning in terms of its adaptation to the specifics of metals.

We document the geographic concentration patterns of Russian manufacturing using detailed microgeographic data. About 80% of three‐digit industries are significantly agglomerated, and a similar share of three‐digit industry pairs is significantly coagglomerated. Industry pairs with stronger buyer–supplier links—as measured using Russian input–output tables—tend to be slightly more coagglomerated. This result is robust to instrumental variable estimation using either Canadian or US instruments. Using Canadian ad valorem transport costs as a proxy for transport costs in Russia, we further find that industries with higher transport costs are more dispersed, and industry pairs with higher transport costs are less coagglomerated.

Despite the fact that judicial review is an important part of competition law enforcement under the administrative system, in which courts decide on claims to annul infringement decisions made by competition authorities, its role in the development of evidentiary standards of economic analysis is understudied. This paper attempts to fill this gap by analyzing the impact of judicial review on the application of market analysis in competition investigations by the Russian competition authority during 2008–2015. Although the guidelines for the assessment of competition are mandatory for many types of anticompetitive conducts and they require application of the Hypothetical Monopolist Test to delineate antitrust market, competition authority does not always do that. We test hypotheses on the impact of legal requirements, experience of application, and the outcomes of the judicial review on the probability to present either an informal market analysis or market delineation using the Hypothetical Monopolist Test in a particular decision. We find that positive outcomes of the judicial review of infringement decisions significantly increase the probability of undertaking a particular analysis in future investigations. The pressure of judicial review under the presence of mandatory standards of evidence is an important determinant of the development of evidentiary standards in competition law.

A fixed set of n agents share a random object: the distribution μ of the profile of utilities is IID across periods, but arbitrary across agents. We consider a class of online division rules that learn the realized utility profile, and only know from μ the individual expected utilities. They have no record from past realized utilities, and do not know either if and how many new objects will appear in the future. We call such rules prior-independent. 

A rule is fair if each agent, ex ante, expects at least 1/n-th of his utility for the object if it is a good, at most 1/n-th of his disutility for it if it is a bad. Among fair prior-independent rules to divide goods (bads) we uncover those collecting the largest (lowest) total expected (dis)utility. There is exactly one fair rule for bads that is optimal in this sense. But for goods, the set of optimal fair rules is one dimensional. Both in the worst case and in the asymptotic sense, our optimal rules perform much better than the natural Proportional rule (for goods or for bads), and not much worse than the optimal fair prior-dependent rule that knows the full distribution μ in addition to realized utilities.

The main problems and features of combined approach to the complex objects control and management stability analysis are investigated in the paper. Analytical-simulation scenarios and scenarios of intelligent models and systems execution for complex objects control and management stability analysis are given. The investigations have shown successful possibility of risks evaluation by the combined implementation of the analytical-simulation models and algorithms, and ANFIS method – the method of hybrid neuralfuzzy modelling.

This article proposes a global bibliometric overview of unmanned aerial vehicle (UAVs) publications in the Scopus database during 1985–2015 at the country level. The article is structured as follows. The first section provides an introduction and overview of papers on the publication and patent activity in field of UAVs. Section two describes the methodological framework of the study. Section three provides an overview of co-publication activity in UAV research. Section four is devoted to an analysis of patterns of international collaboration in field of UAV research in Scopus. Finally, section five concludes the paper by summarizing the key findings from the analysis and illustrating the implications from the analysis and offering proposals for possible further developments in the field. This study uses a wide set of bibliometric indicators and network metrics for measuring different aspects of publication activity and citation levels as well as cross-country research collaboration on UAVs. In order to illustrate country-to-country research collaboration maps NodeXL software was applied.

In developing economies, which rely considerably on the dollar and euro, changes in the currency structure of bank deposits may be strategic and may work as an additional market discipline mechanism. This study sheds light on this currency shifts mechanism in the Russian market for personal deposits. Using data on 900 banks for 2005–2015, we show that less risky banks demonstrate higher growth in the share of deposits denominated in foreign currency (FX), even when the exchange rate volatility component is extracted. The shifts are supported by the quantity-based mechanism as more reliable banks enjoy higher FX deposit growth.

The Paris Agreement introduces long-term strategies as an instrument to inform progressively more ambitious emission reduction objectives, while holding development goals paramount in the context of national circumstances. In the lead up to the twenty-first Conference of the Parties, the Deep Decarbonization Pathways Project developed mid-century low-emission pathways for 16 countries, based on an innovative pathway design framework. In this Perspective, we describe this framework and show how it can support the development of sectorally and technologically detailed, policy-relevant and country-driven strategies consistent with the Paris Agreement climate goal. We also discuss how this framework can be used to engage stakeholder input and buy-in; design implementation policy packages; reveal necessary technological, financial and institutional enabling conditions; and support global stocktaking and increasing of ambition.

Purpose – The literature on knowledge-intensive business services (KIBS) shows them to be major innovators; this is confirmed with recent data, which the authors use to examine the various types of innovation that KIBS undertake. The implications for employment and work in highly innovative industries are important topics for analysis, not least because we are in a period where dramatic claims are being made as to the implications of new technologies for professional occupations. Thus, this paper aims to address major debates and conclusions concerning innovation patterns in KIBS and the evolving structures of professional and other work in these industries.

Design/methodology/approach – This essay combines literature review with presentation and discussion of statistics that throw light on the patterns of innovation that characterise KIBS. The authors also consider data that concern trends in the organisation of work in these industries; while the focus is mainly on KIBS firms, they also pay some attention to KIBS-like work in other sectors. Even though KIBS are distinctive industries in modern economies, these analyses can be related to more general studies of, and forecasts about, changes in work organisation.

Findings – The authors show that innovation patterns and employment structures vary substantially across different types of KIBS, with the distinction between technological, professional and creative KIBS proving to be useful for capturing these differences. The authors are also able to demonstrate important long- and medium-term trends in the structure and activities of the KIBS industries. In particular, data clearly demonstrate the increasing share of professional as against associate and clerical workers in most KIBS. Evidence also suggests that polarisation trends across the economy are mirrored, and in some cases amplified, in KIBS. The future prospects for employment in KIBS, and for professional work in particular, are seen to involve multiple factors, which together may bring about substantial change.

Research limitations/implications – The study involves literature review and industry-level statistical analysis. Future work would benefit from firm-level analysis and validation and explication of results via consultation with practitioners and users of KIBS. Some puzzling variations across countries and sectors will need to be explored with national and sectoral experts.

Practical implications – Research into KIBS activities, and their future, should make more use of the extensive statistics on employment and other structural features of the industries that have become available in recent years. KIBS firms and practitioners will need to take account of the forces for change that are liable to restructure their activities.

Originality/value – The literature on KIBS has been concentrated on a rather narrow range of issues, while analysis of the current contributions and future development of the industries requires attention to a wider range of topics. This paper suggests how these topics may be investigated and their implications explored and presents results of enquiries along these lines

Previous research has shown that the effects of natural shocks on household migration decisions may go in different directions. This paper explores the impact of natural shocks (self-reported) on the migration of members of Kyrgyz rural households. Employing a panel dataset from the Life in Kyrgyzstan Survey (2010-2013) we show that out of five studied shocks only droughts and floods negatively affect migration, while other shocks (cold winters, earthquakes and landslides) on average do not lead to any statistically significant change in migration. However, available migration networks, household financial capacity and involvement in agriculture are sources of differential impacts. Exploring the means of migration funding, we find that both liquidity and borrowing constraints are important for the poorest households. Help from friends and relatives for financing migration, if it comes, is sourced to rich households.

The paper explores the information content of surveys of the Russian services sector using the surveys’ results since 2012Q1 to 2018Q4. To summarise entrepreneurial opinions in a one-dimensional index the indicators of confidence and business climate are calculated. To examine the reaction of GDP to impulses in the business climate indicator and to forecast GDP growth by the end of 2019, the Vector Autoregression Model was used. The results of services surveys provide reliable information on the economic sentiment that is essential to measure recession and recovery development of the sector. Since 2013, the survey’s results demonstrate a stable five-year trend of ‘pessimism accumulation’ in the indicators dynamics. The slight increase in entrepreneurial optimism in 2016-2018 did not result in moving confidence to a positive zone. The business climate indicator (BCI) performs better than the traditional confidence indicator in terms of synchronous correlations with GDP growth. A longer observation period needs to draw conclusions about the BCI cyclic properties; however, it can be used now to analyze the development of the Russian services sector.

We develop a new methodology to identify corruption in public procurement auctions with reserve prices and apply it to Russian public procurement auctions of gasoline in 2011–2013. We identify corrupt procurer–seller pairs by exploiting the variation in reserve prices. Since auction reserve prices are set by the procurer before the auction, they should be independent from the identity of the winning seller. We estimate reserve prices as a function of the local market price, contract, procurer and time controls, and procurer–seller fixed effects. A procurer–seller pair is labeled as potentially corrupt if its pair fixed effect is significantly larger than the average procurer fixed effect. Despite their reserve price overpricing, corrupt sellers face less competition in auctions organized by procurers with whom they form a corrupt pair and have a higher probability of wining these auctions. Auctions won by corrupt pairs exhibit higher final contract prices, leading to considerable welfare losses. The detrimental effect of reserve price manipulation on final prices is mitigated by higher competition and fully offset by electronic auctions with sufficient competition.

The article reviews long-run sources of Russian economic growth and demonstrates that the stagnation of the Russian economy in the past decade can be considered in the context of the global productivity slowdown. Conventional industry growth accounting shows that in contrast to the transformational recession before 1998, the recent stagnation of 2008-2014 is primarily the outcome of a slowdown in total factor productivity (TFP) growth and a deterioration in the allocation of labour, rather than bottlenecks in capital inputs.

Internet of Things (IoT) technologies are of particular interest for telecommunication companies that can significantly affect the interaction of economic agents. As a result of the growth in the number of connected devices, the introduction of cloud services and business applications it became possible to combine equipment, information systems and management systems into a single communication network which in turn gave impetus to the development of the Internet of Things. The basis for the development of the Internet of Things is modern data transmission technologies including IoT Wireless Networks. There are, currently, a number of wireless IoT technologies which have different characteristics. In this regard, it is of interest to identify the most promising technologies that will form the basis of the infrastructure for the development of the IoT ecosystem. This paper develops an assessment model for the application potential of IoT wireless network technologies for the telecommunication sector. LPWAN, 4G and Wi-Fi were identified as the most promising technologies. The majority of the assessment criteria are applicable to other telecommunication technologies.

This article studies the evolution of housing rents in St. Petersburg between 1880 and 1917, covering an eventful period of Russian and world history. We collect and digitize over 5,000 rental advertisements from a local newspaper, which we use together with geo-coded addresses and detailed structural characteristics to construct a quality-adjusted rent price index in continuous time. We provide the first pre-war and pre-Soviet index based on market data for any Russian housing market. In 1915, one of the world’s earliest rent control and tenant protection policies was introduced in response to soaring prices following the outbreak of World War I. We analyze the impact of this policy: before the regulation rents were increasing at a similarly rapid pace to other consumer prices; the policy reversed that trend. We find evidence for official compliance with the policy, document a rise in tenure duration and strongly increased rent affordability for workers after the introduction of the policy. We conclude that the immediate prelude to the October Revolution was indeed characterized by economic turmoil, but rent affordability and rising rents were no longer the dominating problems.This article studies the evolution of housing rents in St. Petersburg between 1880 and 1917, covering an eventful period of Russian and world history. We collect and digitize over 5,000 rental advertisements from a local newspaper, which we use together with geo-coded addresses and detailed structural characteristics to construct a quality-adjusted rent price index in continuous time. We provide the first pre-war and pre-Soviet index based on market data for any Russian housing market. In 1915, one of the world’s earliest rent control and tenant protection policies was introduced in response to soaring prices following the outbreak of World War I. We analyze the impact of this policy: before the regulation rents were increasing at a similarly rapid pace to other consumer prices; the policy reversed that trend. We find evidence for official compliance with the policy, document a rise in tenure duration and strongly increased rent affordability for workers after the introduction of the policy. We conclude that the immediate prelude to the October Revolution was indeed characterized by economic turmoil, but rent affordability and rising rents were no longer the dominating problems.

This study focuses on the ground transportation system and its impact on the rents in 30 of Russia's largest cities. It also compares the effect with subway transit networks. The data set includes rent information from an all-Russia online advertisement website Avito and various measures of proximity to the public transit network stops (including subways for cities with them). The analysis is conducted using linear hedonic models. The results show that the ground transportation proximity is important for housing rent formation in both cities with and without subways, although the effect for subway stations is greater in comparison. Nevertheless, the benefits of a denser ground transportation system are high and stable, whereas the distance to the closest bus stop and the number within the walking distance are important solely for cities with a subway system and without it, respectively.

        The paper explores the effect of migration of Russian settlers on the intra-regional development in Kazakhstan. We use the 1897 census dataset of the Russian Empire and modern economic data to provide links between Russian settlements in Kazakhstan in 1897 and the current level of economic development. Exploiting exogenous geographic and geopolitical sources of variation across twenty-six districts (uyezd) we provide the empirical evidence of positive impact of the migration of Russians in XVIII-XIX centuries on the current level of development. The paper discusses several channels of such influence: human capital formation channel and the Soviet Union industrialization policy. 

Economists tend to reduce all corruption to impersonal market-like transactions, ignoring the role of social ties in shaping corruption. In this paper, we show that this simplification substantially limits the understanding of corruption. We distinguish between market corruption (impersonal bribery), and network (or parochial) corruption which is conditional on the social connections between bureaucrats and private agents. We argue, both theoretically and empirically, that these types of corruption have different qualities. Using data from the Life in Transition Survey (LiTS) which covers all post-socialist countries we show, first, that the correlation between market and network corruption is weak, which implies that ignoring network corruption leads not only to an underestimation of the overall scale of corruption but also biases national corruption rankings. Secondly, in line with theoretical expectations, we find that network corruption is more persistent over time, less related to contemporary national socio-economic and institutional characteristics and has stronger historical roots than market corruption. Yet, network corruption, unlike bribery, is not able to ‘grease the wheels’ and is not associated with political instability. Lastly, we show that the decline in bribery which was observed in almost all post-socialist countries in the period from 2010 to 2016 was accompanied by rising network corruption in many of them, which has important policy implications.

This article studies the evolution of housing rents in St. Petersburg between 1880 and 1917, covering an eventful period of Russian and world history. We collect and digitize over 5,000 rental advertisements from a local newspaper, which we use together with geo-coded addresses and detailed structural characteristics to construct a quality-adjusted rent price index in continuous time. We provide the first pre-war and pre-Soviet index based on market data for any Russian housing market. In 1915, one of the world’s earliest rent control and tenant protection policies was introduced in response to soaring prices following the outbreak of World War I. We analyze the impact of this policy: while before the regulation rents were increasing at a similar rapid pace as other consumer prices, the policy reversed this trend. We find evidence for official compliance with the policy, document a rise in tenure duration and strongly increased rent affordability among workers after the introduction of the policy. We conclude that the immediate prelude to the October Revolution was indeed characterized by economic turmoil, but rent affordability and rising rents were no longer the dominating problems.

Incentives are usually designed to promote desirable behaviour. In many instances, however, even in the absence of an incentive scheme, people may deliberately choose to act as desired. In such a case, introducing a system of incentives may discourage people from doing this. The discouragement mechanism works through the pos- sibility of errors that may wrongly classify the observed behaviour as undesirable, and hence trigger penalties. The effect is amplified by pessimism, which leads to an overestimation of the error probability, and by the disappointment from errors, which increases the disutility of unfair penalties. This approach is capable of ex- plaining two typical observations for enterprises/industries subject to environmental regulation – overcompliance (excessive investment in compliance) and discretionary inspections by regulators (raised frequency of inspections to enterprises suspected of non-compliance).

We develop a theoretical model in which adoption decisions are based on information received from others about the quality of a new technology and on their risk attitude. We test the predictions of this model using a field experiment in Bangladesh. We show that treated farmers who receive better training in System of Rice Intensification (SRI) technology have more accurate information about this technology, and have a higher impact on the adoption rate of untreated farmers. We also find that untreated farmers that are more risk-averse tend to adopt less and are less influenced by their treated peers. Finally, a trained farmers' impact on his untrained peers increases if he himself adopts SRI technology. Our results indicate that the crucial determinant of technology adoption for untreated farmers is their degree of risk aversion and the accuracy and reliability of information transmission about the quality of technology circulated among farmers.

Physical activity is considered today as a leading factor in health and well-being in developed countries. With decreasing levels of alcohol and tobacco consumption, widespread sedentary lifestyles have taken centre stage among the predictors of non-communicable diseases. That is why Russia, along with other countries, has adopted the “Physical activity strategy for the WHO European Region 2016–2025”. Young people are among the target groups of public policy promoting physical activity. This paper investigates physical activity among young people aged 15 to 24 years. The empirical study is based on a descriptive and econometric analysis of micro-data from the Russia Longitudinal Monitoring Survey (RLMS), 2000–2016. The research shows that 50% of young men and 65% of young women do not exercise on a regular basis. Both for men and for women, the probability of physical activity is positively related to their educational level, household income, and residence in capital cities. Negative relations were found between the probability of physical activity and smoking, status of married person, and employed and non-employed status. The results for alcohol consumption, body mass index and self-assessed health are inconclusive for this age group. The results confirm the necessity of better-targeted public policy motivating physical activity in youth. Overall, policy measures motivating young people to take part in physical activity will have a long-term effect. Habits developed in youth often persist into adulthood. The result will be a gain in the health and longevity of the Russian population.

Public procurement costs evaluation is important both for procurement optimization at the company level and for evaluating the public procurement regulation system. This paper presents a survey-based methodological approach to public procurement costs evaluation at the macro level. We have modified the PwC approach and developed an alternative public procurement cost evaluation methodology at the macro level. The PwC methodology was adapted to developing and transitional economies and piloted on Russian data. Average costs of each type of procurement procedures implemented in 2016 were evaluated. A regression analysis of factors impacting public procurement costs evaluation revealed considerable differences between respondents who have and do not have experience with complex procurement procedures. Although the average overall costs of public procurements in Russia amounted to about 1% of the total value of concluded contracts, the figure stands at 6.6–8.1% for small purchases. This exceeds the economy from price decrease and calls for a need to simplify regulation of such procurements.

Estimates of the term structure of interest rates depend heavily on the quality of the market data from which it is constructed. Estimated rates can be incorrect because of observation errors and omissions in the data. The usual way to deal with the heteroscedasticity of observation errors is by introducing weights in the fitting procedure. There is currently no consensus in the literature about the choice of such weights. We introduce a non-parametric bootstrap-based method of introducing observation errors drawn from the empirical distribution into the model data, which allows us to perform a comparison test of different weighting schemes without implicitly favoring one of the contesting models – a common design flaw in comparison studies. We use government bonds from several countries with examples of both liquid and illiquid bond markets. We show that realistic observation errors can greatly distort the estimated yield curve. Moreover, we show that using different weights or other modifications to account for observation errors in bond price data does not always improve the term structure estimates, and often worsens the situation. Based on our comparison, we advise to either use equal weights or weights proportional to the inverse duration in practical applications.

Coproduction is a practice that encourages active interaction between customers and producers in creating products, services or events. In the urban management framework the above-mentioned concept is just starting to be put into practice and is characterized by the involvement of residents in different city activities' organization including mega events managed by local authorities. The new types of interaction between residents and authorities include participation of residents as volunteers in organization and carrying out of different city events and activities, mass collaboration or crowdsourcing, crowdfunding, recommendations to external stakeholders, couchsurfing, and slum tourism. The article examines the theoretical aspects of coproduction concept introduction in urban development, describes the types of interaction between residents and local authorities as well as the benefits of this interaction. The author has developed and empirically verified a conceptual model for willingness assessment of residents to participate in coproduction of mega events based on the example of the city of Volgograd which hosted one of the Football World Cup stages.

Wage adjustments for employees are a reaction mechanism to changing market conditions and form a significant part of pay policy. Though various attempts to explore wage levels and wage differentials have been made, wage adjustment policies remain an understudied topic. This paper analyses the determinants of wage adjustments based on data from Russian enterprises 2015–17. The analysis is based on detailed data from an employer survey which covers more than 5,000 firms in both the public and private sector. The study adopts probit models to identify the reasons which determine wage revisions, depending on internal employer characteristics and external labour market conditions.  The results are in line with previous research on the topic (Bayo-Moriones et al., 2016) and suggest that both internal and external factors influence wage adjustments. A wage adjustment is a reflection of the ability to pay meaning that revisions are often made by successful firms with high employee turnover. Institutional frameworks, especially trade union activity, affects the firm’s decision to adjust wages despite the general opinion on the insignificance of unions in Russia. This study contributes to the limited literature by analysing the determinants of wage policies depending on the firm’s characteristics. This is the first study of its kind based on extensive Russian data. 

Innovative companies are a major driver of the global economy. The typical major owner is an institutional investor. In recent years the stakes of institutional owners have increased, which should increase the role of institutional investors. Institutional investors, however, differ. Traditional investment managers, banks, insurance companies and hedge funds have different goals and strategies, so their roles in firms differ significantly. In this article we analyze the difference between technology and non-technology companies to find out the reason for the success of fast-growing corporations. This research uses a Generalized Least Square model on a sample of 12,565 firm-year observations 2004–15, to justify the assumption that different types of investors have different effects on the performance of innovative companies. The research reveals a distinction between the type of investor and the investor strategy. By focusing on the concentration of ownership, we demonstrate the performance effect on different blockholders. Our findings suggest, first, that grey investors decrease firm value; second, that passive independent institutions enhance firm performance in virtue of their active monitoring and long-term investment horizons; third, that innovative firms have different ownership patterns to traditional ones.