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This paper considers locating congested fast charging stations (FCSs) and deploying chargers in a stochastic environment, while the related studies have predominantly focused on problems in deterministic environments. Reducing the inconvenience caused by congestion at FCSs is an important challenge for FCS service provider. This is the underlying motivation for this study to consider a problem for FCS network design with the congestion restriction in a stochastic environment. We proposed a maximal coverage problem subject to budget constraints and a congestion restriction in order to maximize the demand coverage. With the derivation of the congestion restriction in the considered stochastic environment, the problem is formulated into an integer programming model. A real-life case study is conducted and managerial implications are drawn from its results.

Describes how the 1986 Financial Services Act gives the FSA power to pursue not only those breaching its rules but others who become involved in breaches by being “knowingly concerned”; the FSA can apply to the courts for an injunction or for a restitution order, and if the person is in fact a bank it has a new extra‐judicial power to make it disgorge the profits and/or compensate for the loss. Explains at length what “knowingly concerned” means in the context of the criminal and civil law. Shows how banks are now under significant obligation to obtain information about their clients, and this results in knowledge for the purpose of “knowingly concerned” liability; they also have to report suspicions of money laundering and generally cooperate with the FSA.

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing and making more accurate diagnoses. This paper attempts to identify the critical success factors (CSFs) for successfully implementing BT in healthcare.

The paper is methodologically structured in four phases. The first phase leads to identifying success factors by reviewing the extant literature. In the second phase, expert opinions were solicited to authenticate the critical success factors required to implement BT in the healthcare sector. Decision Making Trial and Evaluation Laboratory (DEMATEL) method was employed to find the cause-and-effect relationship among the third phase’s critical success factors. In phase 4, the authors resort to validating the final results and findings.

Based on the analysis, 21 CSFs were identified and grouped under six dimensions. After applying the DEMATEL technique, nine factors belong to the causal group, and the remaining 12 factors fall under the effect group. The top three influencing factors of blockchain technology implementation in the healthcare ecosystem are data transparency, track and traceability and government support, whereas; implementation cost was the least influential.

This study provides a roadmap and may facilitate healthcare professionals to overcome contemporary challenges with the help of BT.

Cooperation in agriculture and agricultural products trade is a new driving force for Sino-Russian cooperation in economy and trade in recent years. Driven by the interests and needs of both countries, a Free Trade Zone (FTZ) on the Chinese territory facing Russia, the Heilongjiang FTZ, has been established, and agricultural cooperation has attracted much attention within the FTZ framework. This chapter aims to analyze and explain the prospects of Sino-Russian agricultural cooperation under the framework of the Heilongjiang FTZ based on the current situations of cooperation. The author concludes that the Heihe and Suifenhe Areas in Heilongjiang FTZ are developed with a focus on Sino-Russian agricultural cooperation. This chapter is innovative because it combined the traditional research perspective on Sino-Russian agricultural cooperation with that under the FTZ framework. The author thinks that to facilitate the cooperation between the two countries in agriculture under the FTZ, the two governments must cooperate more extensively. Besides, they need to discuss the establishment of infrastructures like a joint agricultural product R&D centre and a digital development centre for agriculture. Meanwhile, the schemes of dispute settlement and risk-sharing should be addressed as well.

The relevance of the research topic is due to the high importance of the Belt and Road Initiative (BRI) for increasing the presence of China in the markets of the countries of the New Silk Road. The topic becomes more relevant due to the ambiguous results of the BRI, although it was launched in 2013. On the one hand, the effect for China is growing. On the other hand, the effect for the participating countries has not yet reached the level initially declared.

The chapter aims to identify the main challenges and advantages of the BRI based on the involvement of countries and their markets in the trade and economic system formed by China.

The research novelty lies in studying the economic goals and objectives of the People's Republic of China (PRC) under the BRI and the possibilities of using the trade and economic system created by the PRC for developing the PRC and the BRI member countries.

The authors found that the initiative is designed to better integrate the economy of China at the regional and global level, promote the socio-economic progress of the less developed western territories of the country and stabilize foreign trade and domestic socio-economic processes in conditions of global instability. The authors justify that this initiative, uniting more than 80 countries in Asia, Africa and Oceania, will strengthen China's role in the world economy and trade, form a specific international trade and economic platform under the leadership of China and provide the country a leading position in at least three parts of the world.

The authors use traditional economic research methods, such as scientific abstraction, deduction, analysis and synthesis. Additionally, the authors use the method of visualization based on the application of the statistical method.

This survey presents the recent and rapidly expanding literature, which analyses the economic impacts of the COVID-19 pandemic, by means of Computable General Equilibrium (CGE) modelling. It does so not only by contrasting and assessing the different methodological approaches, and the key findings of the simulation exercises, but also by putting the various contributions in a historical perspective. This is necessary because each CGE-based study should be evaluated while keeping in mind when it was realised, since questions, priorities, expectations have been constantly changing during the spreading of the pandemic.

As hypothesized by Gerschenkron (1962), lower income countries would tend to grow at a faster rate than higher income countries and, as a result, their average incomes would converge in the long run. In addition to that hypothesis, theoretical studies to assess the impact of globalization on international economic convergence remain ambiguous. To address both the issues simultaneously, this study attempts to analyze the trend and possible association between the two, i.e., cross-country per capita income differential and globalization. This study incorporates a long list of countries (160 Countries) for a fairly long period of time (from 1990 to 2019). As expected, the study found a steady rise in global trade to GDP ratio, indicating a rising level of globalization in the assessment period. In addition to that, the study also found a rising level of average cross-country per capita real GDP (based on purchasing power parity (PPP)) differential in the given time horizon, contradicting Gerschenkron hypothesis. Finally, applying the ARDL bounds testing procedure, the study finds that cross-country per capita income differential and globalization are cointegrated; and the net effect of globalization on income differential is positive. Therefore, given the data, the study concludes that, over the years, along with rising level of globalization, per capita income differential diverges which causes cross-country per capita income inequality to rise.

The aim of this chapter is to assess the real exchange rate misalignments. A smooth transition autoregressive model (STAR) is used for Tunisian exchange market. This model allows us to see whether these differences are temporary or persistent over the period 1975–2012. We start by defining the exchange rate’s fundamental determinants to provide the equilibrium exchange rate value. Then, we study the observed exchange rate adjustment toward its equilibrium level. Vector autoregressive model and vector error correction model are applied to characterize the joint dynamics of variables in the long run. The results indicate a long-run relationship between variables. In order to consider the nonlinearity for better results, we will move to nonlinear smooth transition model. We found there is a high degree of exchange rate misalignment. We recognized that this difference decreases in the long run and disappears at the end.

The paper aims to study the main trends in the development of international trade in the era of neo-globalization and make forecasting scenarios that reflect the prospects and strategies for building international economic (foreign trade) relations. The author uses trend analysis, regression analysis, and the Monte Carlo method. The author proves that the digital economy determines the prospects for international trade in the era of neo-globalization. The author indicates several trends of international trade in the era of neo-globalization, such as the increase in the freedom of international trade (by 2.16%), the increasing level of globalization of the economy (by 4.11%), and the intensive increase in high-tech exports (by 74.94%). The most possible (28%) scenario for developing international trade is related to the digital partnership. In this scenario, a 25.11% increase in digital competitiveness provides an 8.29% increase in the globalization index and a 21.78% increase in high-tech exports. These indicators are achieved despite the growth of customs barriers by 58.86%. That is, a feature of the era of neo-globalization is the predominance of technological barriers over custom ones to the development of international trade.