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“No man is an island, entire of itself” (Donne, 1624). When the British metaphysical poet John Donne (1572–1631) wrote that, concepts such as entrepreneurship, marketing, tourism, and world trade were either not known or rudimentarily conceived. The scope and implications of these business forces for the health of countries would not be more fully realized for centuries to come. While Donne was not speaking directly to the issues of this research, it is significant, given the central focus of marketing on exchange, that what Donne wrote about in the context of human relations and the need of people to exist in interaction with one another has a connective interpretation to commerce. By extension, individual companies or organizations are not islands unto themselves as they face the make-or-buy and outsourcing decisions, industries are not islands as they must exchange for raw materials and labor, and countries are not metaphorical islands given the uneven distribution of raw materials around the planet. The relative geographic isolation of Iceland (2 hours by airplane from Great Britain), a small population base of approximately 300,000, and a location near the Arctic Circle underscores the need for trade and interaction with other countries as a means of creating and maintaining a vibrant economy.

China is one of the fastest-growing countries; it holds important positions in many product markets, including the global automotive market. The objectives of this study are as follows: to assess the position of China in the global automotive production, global automotive exports and imports; and also compare the position of China on these indicators with the main competing countries. In this regard, the method of comparative analysis has become the main research method. Based on the analysis and calculations performed, the authors came to some conclusions. China came out on top in the production and export of automotive products, overtaking key competitors, including the United States, Japan, Germany and India. This was achieved through an effective combination of trade, investment and industrial policy instruments. The decline in production and export of cars during the COVID-19 coronavirus pandemic was minimal in China compared to competitors, which is explained by an efficiently formed supply chain, as well as the presence of transport hubs (7 of the 10 largest sea container ports are located in China). The authors believe that future trends in the development of the Chinese automotive industry will be associated with the renewal of production to reduce environmental pollution and restructuring of supply chains to further localize the production of intermediate components for the automotive industry.

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 chapter seeks to analyze trade in environmental goods between China and the EU and highlight prominent problems and future opportunities.

We explore trade empirically, based on the definition of environmental goods proposed by OECD and database from UN COMTRADE (HS96).

We find that value of trade in environmental goods between China and the EU has increased from $2.759 billion in 1996 to $42.446 billion in 2012, with an average annual growth rate of 21%. Trade is concentrated in Germany, the Netherlands, Italy, France, and Belgium (together accounting for 82%). China has a trade deficit in most categories of environmental goods. Overall, although trade in environmental goods between China and the EU has increased rapidly, the trade structure is unbalanced and the competitiveness of China’s environmental goods trade is still low.

This chapter provides a robust basis for analysis of trade in environmental goods between China and the EU.

Discussions on environmental goods trade are complicated by a lack of clear definition and lack of consistent data. This chapter provides a clear and consistent data set in order to have a robust basis for analysis of this important phenomenon.

Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI).

Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI.

The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down.

In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.

This paper aims to examine and compare the export performance and competitiveness of Indian and Chinese textile and clothing industry in post-multifibre arrangement (MFA) era.

Balassa’s revealed comparative advantage Index is used to assess the competitiveness of Indian and Chinese textile and clothing exports.

The results indicate that China’s textiles and garments sector holds a greater proportion of the global market compared with India. India has a robust comparative advantage in silk, carpets and cotton post-MFA. Vegetable textile fibers, paper yarn and woven fabrics of paper yarn are also competitive. China had a strong comparative advantage in silk and fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery in 2005. China also recorded comparative advantage in silk, man-made filaments: strip and the like of man-made textile materials, fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery and fabrics; knitted or crocheted in 2021.

This study’s results and recommendations could assist the Indian and Chinese Governments develop policies to upgrade their garment industries.

Though vast literature reviews are available for textile and apparel export performance in India and China separately, there are few studies on comparisons. This study is a significant attempt to evaluate India and China’s competitiveness in the global market.

In this paper, we evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

We employ a Dynamic GTAP-VA Model to quantitatively evaluate the economic repercussions of the “Chip Act” on the Chinese electronic industries' GVC participation from 2023 to 2040.

The findings depict a discernible contraction in China’s electronic sector by 2040, marked by a −2.95% change in output, a −3.50% alteration in exports and a 0.45% increment in imports. Concurrently, the U.S., EU and certain Asian economies exhibit expansions within the electronic sector, indicating a GVC realignment. The “Chip Act” implementation precipitates a significant divergence in GVC participation across different countries and industries, notably impacting the electronics sector.

Through a meticulous temporal analysis, this manuscript unveils the nuanced economic shifts within the GVC, substantially bridging the empirical void in existing literature. This narrative accentuates the profound implications of policy regulations on global trade dynamics, contributing to the discourse on international economic policy and industry evolution.

We evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.

The interaction between policy regulations and global value chain (GVC) dynamics is pivotal in understanding the contemporary global trade framework, especially within technology-driven sectors. The US “Chips Act” represents a significant regulatory milestone with potential ramifications on the Chinese electronic industries' engagement in the GVC.

The significance of this paper is that it quantifies for the first time the impact of the US Chip Act on the GVC participation index of East Asian countries in the context of US-China decoupling. With careful consideration of strategic aspects, this paper substantially fills the empirical gap in the existing literature by presenting subtle economic changes within GVCs, highlighting the profound implications of policy regulation on global trade dynamics.

Infrastructure financialization plays a critical role in infrastructure development and urban growth around the world. However, on the one hand, the existing research on the infrastructure financialization focuses on qualitative and lacks quantitative country-specific studies. On the other hand, the spatial heterogeneity and influencing factors of infrastructure financialization are ignored. This study takes China as a typical case to identify and analyze the spatial characteristics, development process and impact factors of infrastructure financialization.

To assess the development and characteristics of infrastructure financialization in China, this study constructs an evaluation index of infrastructure financialization based on the infrastructure financialization ratio (IFR). This study then analyzes the evolution process and spatial pattern of China's infrastructure financialization through the spatial analysis method. Furthermore, this study identifies and quantitatively analyzes the influencing factors of infrastructure financialization based on the spatial Dubin model. Finally, this study offers a policy suggestion as a governance response.

The results demonstrate that infrastructure financialization effectively promotes the development of infrastructure in China. Second, there are significant spatial differences in China’s infrastructure financialization. Third, many factors affect infrastructure financialization, with government participation having the greatest impact. In addition, over-financialization of infrastructure has the potential to lead to government debt risks, which is a critical challenge the Chinese Government must address. Finally, this study suggests that infrastructure financialization requires more detailed, tailored,and place-specific policy interventions by the government.

This study not only contributes to enriching the knowledge body of global financialization theory but also helps optimize infrastructure investment and financing policies in China and provides peer reference for other developing countries.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.