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The trade agreements among major trading countries can open new prospects of development and growth for global economy. The policy changes by a major trading country can alter the global trade and connection patterns. The trade agreement known as Trans-Pacific Partnership (TPP) was between 12 “Pacific-rim” countries signed earlier in 2016 indicates an upcoming and major policy change for global economy (presidential memorandum to withdraw the United States from TPP was signed in January 2017). The agreement would influence the issues related to “economic growth, employment, innovation, productivity, and competitiveness” of every partner and linked economy. This study illustrates how Asia Pacific’s major countries are interlinked with each other, the important sectors and the strength of connections. The level of interconnectedness might have been transformed within regional trade network because of varying global economic patterns and demand trends. The study focuses on the aspects related to agreement and reduction in tariffs that may change the global trading scenarios and appropriate position for region’s prominent and developing economies after implementation of the agreement.

This paper tries to locate the sectorial bubbles and examines the possibility for investors making extra profit from these bubbles in the Indian stock market.

The authors use two main indicators: (1) asset centrality and (2) relative value. Asset centrality signals crowded trading, which is associated with the formation of a bubble. Relative value separates the crowded trading during the bubble run-up from the sell-off. The authors observe whether these measures can detect the cycle of bubbles in each sector of the Indian stock market for the period 2004–2019.

The authors show the sectors going through the inflationary phase delivers much better performance than the index, whereas the sectors in their deflationary phase perform quite worse than the index. This provides attractive opportunities to investors, especially the institutional investors, and fund managers of the Indian market.

To the best of our knowledge, there is no study that looks into the idea of locating a sectoral bubble in the Indian financial stock market using the concept of centrality score and relative score. This work helps to locate a bubble and identify its phases successfully. Traders can enter a bubble in their inflationary period gain profit and exit the trade before the sell-off period begins.

The purpose of this paper is to present a coherent but critical treatment of Islamic work ethic (IWE). It explores the nature of IWE in the context of cultural and political evolution and offers a cultural and religious perspective pertaining to organization and management.

It briefly investigates the economic and cultural conditions that facilitate the emergence of work ethics and the centrality of trade in Islamic culture. The paper, then, reviews the pillars and foundations of IWE and investigates various empirical studies conducted in various countries.

IWE has economic as well as moral and social dimensions. These along with basic elements of IWE seem to provide the faithful with a sense of worthiness and strengthen organizational commitment and continuity. That is, work is viewed not as an end in itself, but as a means to foster personal growth and social relations.

Offers managers and consults various avenues on how to design teamwork and new methods of change that focus on producing results which reinforce existing commitment and enthusiasm. As justice and generosity in the workplace are considered virtues, issues of a hiring and firing become part of a broader concern with consequences far beyond the organization.

IWE is a multidimensional concept. It links an organization's prosperity and continuity to societal welfare. Its four elements – effort, competition, transparency and morally responsible conduct – have the promise to strengthen commerce and economic progress in today's world.

The purpose of this paper is to evaluate Chinese indirect trade relations in the global trade network to observe if the objectives identified by Cai (2017) in the Belt and Road Initiative (BRI) are being fulfilled, especially with Latin America and the Caribbean (LAC) countries.

Using data from the UNCTAD (2016) for the period 2011–2015, a normalized exports network is built. It is analyzed with the Forgotten Effects Theory and the PageRank algorithm. A Monte Carlo experiment with 10,000 replicates is performed to account for its volatility.

The paper identifies one instance in which China's peripheral countries are importing raw materials and commodities -–oil products – to produce low technological value-added products, which, in turn, are exported to China. LAC countries do not have significant indirect trade relations with China when the former is the origin country, while the latter is the destination in a trade relationship. The trade network has a clear core-periphery structure, with China belonging to its core, although being only the fourth most central node in the network.

This paper contributes with both a new methodology for the analysis of indirect trade relations and the results found for China under the BRI and its trade relationship with LAC economies.

Recently, decoupling between the US and China has emerged as an important issue in global economics. We propose an analytical framework for trade decoupling analysis, borrowing the idea from the production function in non-competitive input-output tables. Using that methodology, we analyze the mobile phone trade network subject to various measures imposed by the US. A scenario analysis is performed to compare the extent of decoupling after a trade war with worst-cases. In bilateral trade, China’s share of total US imports fell significantly in 2019 compared to 2017. However, China’s indirect exports to the US increased during the same period. A similar pattern is observed in the global trade network visualized via multidimensional scaling (MDS). China’s out-degree centrality decreased slightly, while Vietnam’s role expanded. Actual figures for 2019 show a decreased out-degree centrality for Chinese final good exports, but a much higher one in the scenarios. Also, China’s indirect exports to the US have increased. But China does not appear to play a key role in the network as assumed in the scenario. Throughout the study, intermediate goods were treated homogeneously, and further studies considering the heterogeneity of input-output linkages are needed.

This paper aims to examine how the firm’s global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share.

This paper selects global automobile manufacturing firms as samples whose classification is “Automobile” in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis.

This paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share.

This paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.

The purpose of this study is to examine the structure of the international fossil fuel trade network (IFFTN) and assess its effects on CO₂ emissions and global trade patterns. This research integrates complex network theory with econometric analysis to explore the dynamics of fossil fuel trade and its implications for environmental quality across various countries. Specifically, the study analyses the roles of different countries within this global network, examines the relationship between trade volumes and environmental impacts and evaluates how advancements in renewable energy generation could mitigate these effects. Through this comprehensive examination, the study seeks to provide an in-depth understanding of the trade-environment nexus.

The study uses data on international fossil fuel trade from 2005 to 2020, which includes 74 countries categorized as high-income, low-income and Asian economies based on their roles in the global market. This research constructs the IFFTN, where countries are depicted as nodes and trade links as edges. The authors analyse network parameters, such as degree, density and clustering coefficient, along with trade metrics like strength and centrality. These parameters are integrated into a panel fixed effects model, with the robustness of the findings confirmed through dynamic ordinary least squares (DOLS) analysis.

The study finds that the dynamic fossil fuel trade network includes key players such as the USA, China, France, India, the Netherlands and South Korea. It demonstrates increased connectivity and dependence among these countries, directly correlating with higher CO₂ emissions. However, this correlation is mitigated by the adoption of renewable energy, particularly in Asia and high-income countries. The impact on environmental quality is mediated through scale, technique and composition effects, suggesting significant environmental improvements through enhanced industry structure, technological progress and economies of scale.

This study recognizes several limitations. First, the categorization of countries into Asian economies, low-income and high-income groups may oversimplify the intricate effects of economic status on environmental impacts. Second, focusing primarily on per capita CO₂ emissions may neglect other critical environmental indicators. Future research should consider examining regional variations and including a wider range of environmental metrics. This approach would offer a more detailed perspective on the nuanced interactions between economic development and environmental sustainability, enhancing the depth and applicability of the findings.

To address the challenges of the IFFTN and CO₂ emissions, several practical policy measures are recommended. Governments should enhance international cooperation by establishing global platforms for sharing best practices and initiating technology transfer agreements to accelerate the adoption of energy-efficient technologies. Additionally, a phased transition towards more sustainable energy sources is crucial, involving increased investment in the renewable energy sector alongside incentives for adopting green technologies. On the trade front, governments should modify trade partnerships to address congestion externalities, fostering a shift towards more sustainable and environmentally friendly trade practices.

The social implications of the IFFTN are profound. As global reliance on fossil fuels continues, communities face heightened health risks due to increased pollution. Transitioning to renewable energy can alleviate these health concerns and the creation of green technologies, enhancing social well-being. Moreover, equitable access to energy-efficient solutions can reduce energy poverty, particularly in low-income countries, fostering greater societal resilience and inclusivity.

This study offers a pioneering examination of the trade-energy nexus across 74 countries, using complex network models to analyse diverse economic settings, particularly in Asian economies dominated by non-renewable energy. It identifies key market players and assesses their impact on dynamics such as congestion and market power. Additionally, the study explores the positive effects of renewable energy capacity on these relationships, highlighting its crucial role in driving sustainable energy transitions and enhancing the understanding of indirect trade-environment interactions.

This study investigated the impact of the coronavirus disease 2019 (COVID-19) pandemic on the Asian-Australasian cruise shipping network. The analysis was carried out using complex network analysis and data collected for two periods, before and after the pandemic outbreak. The analysis revealed that the network structure and properties have changed after the outbreak of the COVID-19 pandemic. Interestingly, the network’s density and the number of links have increased, but its scale-free property remains with the degree distribution follows the power law. The network has a higher connectivity efficiency with a smaller average path length and a higher clustering coefficient. Its hub ports still maintain an extensive connection. The network’s flow efficiency becomes higher and connectivity stronger after the pandemic. The role of cruise ports has changed as indicated by the degree, betweenness, closeness and eigenvector centralities. The study’s findings indicate that the cruise shipping sector could further enhance efficiency and identify strategies to assist the management in similar circumstances.

Misinformation can influence decision-making by fueling individual's belief, prejudices, and stereotypes. In the context of international trade, misinformation refers to the spread of false or misleading information and facts mostly with the malicious intent of maligning reputation of products, services, trade policies of a country and thus negatively influencing liberal trade policies toward that country. Stereotypes and prejudices fueled by misinformation coupled with economic nationalism and populism cast a dark shadow over the liberal international order. Exaggerated claims about unfair trade practices laced with stereotypes, prejudices, and misinformation can fuel tensions and may eventually lead to trade dispute and retaliatory action such as the imposition of tariffs or breakdown of trade blocs. Fake News, as a term, came into prominence recently during the 2016 US elections. The spread of fake news during the election generated remarkable interest among researchers. While most research focused on the effect of misinformation, a few studies have shown the influence of misinformation in changing trade preferences. The intricate connection among trading partners can propagate misinformation. Misinformation can lead policymakers to undertake protectionist policies. However, policies driven by misinformation, taken by major economies, can have strong rippling effects on other trading partners because of their strong network connectedness. Therefore, it motivates us to understand and evaluate international trade in terms of network statistics. This chapter provides an in-depth analysis of the network effects of some major and emerging economic powers involved in bilateral or multilateral trade agreements.