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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.

Although interdisciplinary research is an increasing trend in scientific funding projects, they are suffering from a lower probability of being funded. The purpose of this paper is to analyze the current situation on successful case of funding application and provides suggestions on how libraries can expand services to help scientific funding application.

This paper utilizes the co-occurrences of disciplinary application codes to construct an interdisciplinary knowledge flow network. Based on 193517 sponsored projects of the National Natural Science Foundation of China, the authors study the interdisciplinary flow of knowledge and investigate the evolution of network structure using social network analysis.

Results show that the interdisciplinary knowledge flow network is not only a small-world network but also a scale-free network. Two main knowledge flow paths across scientific departments exist, showing the heterogeneity of knowledge distributions across scientific disciplines. The authors also find that if two disciplines in the same scientific department both have a wide influence to other disciplines, they are more prone to link together and create a knowledge chain.

Funding consultation currently has not occupied an advisory role either in library services or in the research team. This paper conducts a co-occurrences network analysis of interdisciplinary knowledge flow in scientific funding projects. Considering the complexity of funding application and the advantage of traditional library services on information collection, integration, and utilization, the authors conclude the possibility and necessity of embedding funding consultation in traditional library services.

This paper examines correlations of the underlying structural shocks and the degree of synchronization in the impulse responses of output, inflation and trade to a one standard deviation shock to non-oil commodities price index and exchange rates within the West African Monetary Zone (WAMZ) countries from 1990q1 to 2020q1.

This paper uses the structural vector autoregressive model to isolate the underlying structural shocks and compares them with the West African Monetary Union (WAEMU) countries.

Findings from the study suggest that correlations of underlying structural shocks are more profound in the WAEMU than in the WAMZ. Impulse responses of output to price and exchange rate shocks are more symmetric in the WAEMU than in the WAMZ. However, impulse responses of inflation to price and exchange rate shocks are symmetric in the WAMZ than in the WAEMU and responses of trade in both sub-groups are not uniform.

The paper concludes that the WAMZ does not constitute an Optimum Currency Area concerning the correlations of the structural shocks and output. However, it has achieved convergence in inflation and there are adequate adjustment mechanisms to shocks in the WAMZ than in the WAEMU. Therefore, the WAMZ may not suffer from joining the monetary union. Thus, economic Community of West African States may take steps to roll out the monetary union.

The paper examines correlations of the underlying structural shocks, impulse responses of output and inflation to shocks to commodities price and exchange rates in the WAMZ and compares them with the WAEMU.

This chapter models industrial, tech, and financial cooperation between Russia and the countries of the Asia-Pacific region. We use several complex methods of economic and mathematical modeling to analyze specific features of such cooperation and determine critical factors in industrial, technological, and financial development. The preferable choice for the Asia-Pacific region is cooperation with Russia, which is ready for an increase in imports of industrial and high-tech products as well as joint industrial innovational entrepreneurship. Investments would lead to synergetic effects, ensuring simultaneous industrial, technological, and financial development.

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 article studies the problem of the impact of non-tariff barriers on mutual trade in goods between the EAEU member states. This problem is considered using the example of assessing the impact of non-tariff regulation measures of Russia, Kazakhstan and Kyrgyzstan on imports of goods from other EAEU member states. The conducted research is based on domestic and foreign scientific works that use barrier components to build a gravitational model of foreign trade. To study the impact of non-tariff regulatory measures of Russia, Kazakhstan and Kyrgyzstan on import commodity flow from other EAEU member states, two time periods are considered – the period of 2010–2014 and the period 2017–2019. In the context of the periods under consideration, a gravitational model of foreign trade is constructed. As a result of building a model within the framework of the study, it was revealed that during the period of the EAEU existence (2017–2019), non-tariff measures of foreign trade regulation had a more significant and negative impact on imports of the studied countries than before the formation of the EAEU (2010–2014). The latter indicates the relevance and necessity of further research of this problem.

The purpose of the chapter is to find out the current issues and tendencies of the global economy in the context of the term ‘new normal’. The author tries to determine some approaches to the meaning of the ‘new normal’ term under the condition of COVID-19. At the same time, it had been underlined and paid great attention to the countries with the demographic burden such as India.

The Dim Sum bond market in Hong Kong, which allows China to regulate the amount of offshore yuans that flow back into the mainland, has grown steadily since its inception in 2007 and is expected to surpass in 2013 the threshold level that would attract insurers and long-term issuers to the market. Yet, the market has not matured sufficiently relative to the yuan deposit market in Hong Kong that has grown at a much faster pace on account of trade liberalization and the use of yuans in China’s international trade settlements. Even though Hong Kong has fulfilled its role as an offshore currency center for the yuan, it is being challenged by Taiwan, Singapore, and London in terms of being the premier location for the issuance of yuan-denominated bonds outside of Mainland China.

The chapter examines the current state and prospects of cooperation between the Eurasian Economic Union and the BRICS members. Firstly, the chapter describes comparative analysis between the economic strategies, which represents the two associations facing similar challenges; set themselves similar goals and objectives to achieve sustainable economic growth. Also, the authors provide an empirical analysis of trade and economic cooperation between the EAEU and the BRICS countries, which shows different levels and dynamics of relations with each member of the BRICS. Furthermore, it is proposed to use new ‘soft’ formats, which, in the authors' opinion, will provide synergistic use of the fundamental platforms for dialogue created in the EAEU and BRICS to intensify cooperation and deepen practical interaction. Finally, the chapter concludes that the potential interaction between the two associations of developing countries would create positive prospects and new opportunities, subsequently accelerating their economic growth. Such consolidation of capabilities of these institutions would transfer such cooperation into a practical direction by implementing the goals defined in the strategic planning of the EAEU and BRICS countries.

The promotion of low tariffs and free trade has been the underlying driver of global economic growth. The recent political developments in the United States and Great Britain calls into question, whether free trade will be supported by the governments of the industrialized world in the future. Shortly after being inaugurated in 2017, the President of the United States has repeatedly announced his plans to impose punitive tariffs on the import of foreign products in order to protect the country’s domestic economy. Besides a controversial border adjustment tax, he has frequently brought up the possibility of imposing a 35% tariff on automobile imports. The chapter aims to analyze the effects of such a tariff on trade in the automotive sector between the United States and Germany as well as on German automobile manufacturers. It takes a quantitative approach to draw a conclusion about the relationship between import tariffs on automobiles and passenger vehicle imports from Germany to the United States utilizing a fixed effects regression model based on panel data. The model finds a significant negative correlation between the examined variables, but even in a worst case scenario, German manufacturers are resilient to the predicted revenue losses caused by a tariff increase.