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This study aims to find the impact of the trade war between the USA and China on Asian economies. Apart from macroeconomic variables associated with trade, this study explicitly creates a trade war scenario and trade war participant dummies. Using the neural network multilayer perceptron, this study checks for the causal linkages between the predictors and target output for the panel of Asian economies and the USA.

A conceptual model of the after effects of trade war in a quadrant is developed. Variables related to trade and tariffs are included in the study for a panel of 19 Asian economies. The feedforward structure of neural network analysis is used to identify strong and weak predictors of trade war.

The hidden layers of the multilayer perceptron reveal the inconsistency in linkages for the predictors’ services exports, tariff measures, anti-dumping measures, trade war scenario dummy with gross domestic product. The findings suggest that to curtail the impact of the trade war on Asian economies, predictors with neural evidence must be paid due weightage in policy determination and trade agreements.

The study applies a novel and little explored AI/ML technique of Neural Network analysis with training of 70% observations. The paper will provide opportunity for other researchers to explore techniques of AI/ML in trade studies.

Globalisation has remained a subjective term as the magnitude unfolded. Every new decade witnesses new opportunities for global integration of the economies. One among such initiatives, it is argued, is the One Belt One Road initiative of the People’s Republic of China. It is assumed to be beneficial for the world and at least for the region, if not to say more. The world has witnessed efforts and trends of protectionism as well, but China comes up with new vigour. One Belt One Road has entered into consistent talks and deliberations at the world level. It is therefore imperative to identify the emerging linkages between the participant countries in One Belt One Road. This study aims to take up the task of enquiring about the effect of One Belt One Road on the gravity between China and the nations of Eurasia. This study looks for the realisation of the expected economic ties and internationalisation emerging from One Belt One Road and the evidence for the same. This will be identified in the present study. The paper also attempts to theorise a model for One Belt One Road.

This study takes up the task of enquiring about the effect of One Belt One Road on the gravity between China and the nations of Eurasia. The hypothesised economic ties and internationalisation will be a reality or not. And what are the evidences for the same. This will be identified in the proposed study. An attempt to theorise the model for One Belt One Road is also taken.

It is perceived that the mega project would fill the wedge between China and Eurasia and convergence will follow with the start of the One Belt One Road.

The emergence of China in the global world order as the initiator of mega deals and projects and its dominion in every realm of economic activity is a topic of scrutiny for the entire world. In this context, the One Belt One Road initiative offers huge potential for exploration. As the project is in its early stages of planning and execution, its prospects of tying entire Europe and Russia with China through two of the revived ancient routes are essential to the entire world.

The present study intends to measure buying intention of Generation Z (Gen Z) on social networking sites (SNSs) incorporating perceived risk with the social commerce adoption model (SCAM).

Data were collected via an online questionnaire, and the study used a total of 349 accurate and useable responses. The population of the study includes Indian young consumers coming from the Gen Z cohort. Data were analyzed using SPSS 20 and AMOS 22.0. The proposed hypotheses were statistically tested.

The empirical results show that perceived risk is a significant and strong predictor of perceived usefulness that, in turn, negatively influences buying intention. Among all the constructs of SCAM, perceived usefulness is the most influential and strongest predictor of buying intention. The proposed model explained approximately 34% of the variance in the behavioral intention.

Based on the findings of this study, many theoretical and practical implications may be inferred that can be used to make recommendations to social commerce companies and help them understand the buying intention of Gen Z.

There are many studies that have examined buying intention and a few have measured it on Gen Z. The present study is novel in itself as it has measured the buying intention of Gen Z using the SCAM in the Indian context. Hence, the present research attempts to comprehend the variables influencing buying intention and analyses the relationship between these factors in the social media setting.

African Economies are a mix of emerging and developing economies, characterised by regional imbalances and socio-economic differences. Foreign Direct Investment and Trade has been important for the growth prospects of African Economies. In this paper, we attempt to study the impact of FDI and Trade in a COVID-19 scenario on the African Economies. We also study the lockdown restrictions in different regions of Africa. Applying Neural Network Analysis for the sample of 36 African Economies we identify the significant economic variables for GDP. The analysis based on a feedforward structure suggests that Merchandize Exports (MEXP) and Foreign Direct Investment Stock (FDIS) have very strong causal linkages with the GDP for African Economies sample. On the other hand, Merchandise Imports (MIMP), Services Exports (SEMP), Services Imports (SIMP), and Foreign Direct Investment Inflows (FDII) have a strong and significant relationship with GDP for the African Economies. Tariff Measures (TRFF), Anti-Dumping measures (ADP) and Foreign Direct Investment Outflows (FDIO) have no significant relationship.

The aim of this study is to ponder over the issue of the combined political and economic importance of the BRIC(S) countries. The study highlights the performance of BRICS countries on the basis of various economic and social indicators, as well as patterns of trade and investment. The chapter examines the origin and the status of the BRICS Development Bank as a sign of the creation of a new political and economic block.

The present study adopts a descriptive method. It uses secondary data from several multilateral organisations.

The BRICS countries not only differ in their contribution to the global economy but also along major social indicators. BRICS Bank (New Development Bank) is an important step taken by BRICS countries, but its sustenance depends on the future policies and coordination of BRICS countries.

No econometric techniques are applied due to insufficiently available secondary data.