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As foreign direct investment (FDI) plays an important role in economic globalization. This paper examines the structural features of the global FDI network based on FDI flows data and changes in the position of countries within the network.

In order to study the structural characteristics of the global FDI network and the status and changes of countries in the global FDI network, the authors build the investment network and apply the QAP (Quadratic Assignment Procedure) analysis to examine the evolutionary characteristics of the network and its influencing factors.

The global FDI network becomes more interconnected and has a clear “core-periphery” structure. The network connections and volumes have increased dramatically and most countries spread their assets across multiple countries, while only a handful of countries have concentrated investments. The topological structure of the global FDI network has changed noticeably, although this process has been slow and stable and countries in the core position have remained largely intact. The authors find that trade relations between countries, geographic distance and differences in economic size, income levels and institutional environments all have a significant impact on the global FDI network.

Although we find some valuable results, some aspects need further investigation. For example, how a country uses the investment network to boost its economy and how the different industries in the investment network change over time. It is important to get the industry-level details to understand the impact of the global investment network from a government's perspective.

FDI affects the distribution of international capital and contributes to the development of the global economy. Therefore, it is important to study the characteristics of the global FDI network and its development patterns. With more understanding about the network as well as its evolutionary pattern, the government can possibly carry out some policies to promote direct investments as well as economic development.

All countries should actively engage in international direct investments and strengthen their economic ties. At the same time, they can put more emphasis on inward or outward FDI based on their own level of economic development to better establish the circulation channel for domestic and international capital.

This paper examines foreign direct investments through the lens of a global network. In contrast to traditional bilateral studies, this paper focuses on the network structure and evolution, reflecting the dynamics of the entire direct investment system as well as the changing positions of participating countries.

The purpose of this study is to examine the impact of political relations on trade in strategic emerging industries (SEIs) in the Belt and Road initiative (BRI) associated countries. This investigation encompasses not only from the perspective of bilateral political relations but also the political intervention of third parties.

The study employs the temporal exponential random graphmodel to analyze the dynamic structure and influencing factor of SEIs trade network among 150 BRI-associated countries from 2015 to 2020.

The results indicate that the trade of SEIs in the BRI-associated countries exhibits a pattern of concentrated exporters and decentralized importers. Amicable bilateral political relations foster trade cooperations in SEIs, while political pressure from the United States has the opposite effect. Furthermore, compared with the influence of third parties, the BRI has created a more robust trade environment characterized by political mutual trust.

BRI-associated countries should strengthen their political communication, and endeavor to transform political consensus and shared vision into concrete collaborative projects, while mitigating geopolitical uncertainties through a sound risk evaluation system. Moreover, they should establish a more transparent and consistent consultation mechanism and leverage the BRI trade network to foster balanced and mutually beneficial partnerships that minimize rivalry and dependence on a single market.

This study goes beyond observed trade cost and incorporates the political factor into the determinants of the BRI trade, thereby expanding the theoretical boundaries of existing BRI research. Also, this study employs bilateral trade data to construct SEIs trade networks (SEITNs) along the BRI route. It provides a comprehensive understanding of the dynamic determinates of the SEITNs will provide valuable practical guidance for enhancing and expanding trade and cooperation among BRI-associated countries.

This paper explores international trade of the Chinese manufacturing industries through the lenses of network analysis (NA) to visualise the world trade network of the Chinese economy, describe its topology and better explain the international organisation of Chinese manufacturing industries.

The authors built a dataset of 40,550 Chinese companies and their 107,026 subsidiaries in 118 countries from Orbis-BVD and used a NA to investigate the connection between China and other countries. In particular, the authors studied the connections between Chinese companies and their subsidiaries in order to build a network of Chinese industries.

The authors found that the network of Chinese companies is ramified but not wide and it can be divided into two clusters. Moreover, the relations between China and other peripheral countries are strongly mediated by a few leading locations (e.g. Hong Kong and the USA).

This paper contributes to the literature in several ways. First, the authors provide empirical evidence on the magnitude and ramifications of Chinese enterprises in the world. The existing studies generally focus on applying NA to sectoral insights (Mao and Yang, 2012; Shaikh et al., 2016; Zheng et al., 2016; Wanzenbö ck, 2018; Krichene et al., 2019), whereas in this work the authors take a comprehensive view of the entire Chinese manufacturing system. Second, this paper complements the existing literature identifying the difference between cluster levels in Chinese manufacturing (Wu and Jiang, 2011) by proposing a cluster centralisation method to analyse the international network of Chinese firms rather than just the national network. Finally, the results also shed light on the international trade relationship between China, Hong Kong and the USA.

The authors examine network features such as connectivity, centrality, adjacency matrices, closeness and betweenness measures through a variety of indicators. The results of the study indicate that over time there is a tendency for markets to integrate and segment due to various factors such as pandemics, financial crises, global trade relations and international investments.

This paper employs a visualized network technique to study the dynamics of integration and comovements in global equity markets of emerging economies. Daily closing prices of stock market indices of 24 countries from January 2013 to July 2020 are used to construct a minimum spanning tree network (MSTN) and graph network (GN).

The authors identify India and China as global power hubs and clusters among the emerging economies. India and Bangladesh serve as bridging countries connecting to various other clusters. Bosnia serves as a center in the European region owing to Bosnia's trade relations with neighboring countries. Although Brazil has witnessed the worst recession in the early years of the decade, Brazil has risen to be a central cluster among the Latin American countries. Finally, the authors find that African countries tend to form links with the rest of the world rather than with economies within the Africa continent.

This is the pioneering study that uses network models such as MSTN and GN supplemented with measures of centrality and connectivity to study financial market integration in emerging countries. Against this backdrop, this paper aims to work on a network visualization strategy to examine global stock market integration. The authors also try to use graphs and the spanning trees instead of the correlation models to understand the association between the markets, avoiding the downsides of the existing models. The authors' approach tries to visualize the network integration to examine the interconnectedness in the global stock market.

This study analyzed Korea's relations table through network analysis. In particular, among the centralities, eigenvector centrality, PageRank centrality and degree were used. The author studied which network characteristics affected the value-added rate.

A network analysis method was used.

It is the inward relationship that affects the value-added ratio of Korea's industries and the outward relationship has less influence. In particular, the inward relationship not only acts as a cost but also has an effect on the rate of added value recently.

Since the three years of 2010, 2015 and 2019 are the target, the data are somewhat insufficient to generalize.

As for the value-added ratio of an industry, input is more important than output (sales). Therefore, where the input is received is very important.

It is possible to increase the understanding of the determinants of the value-added rate of Korean industries.

(1) It was clarified which side is inward or outward in determining the industry in Korea. (2) The relationship between PageRank, eigenvector centrality and degree was analyzed in Korean cases. (3) Input is a cost and acts to increase added value.

Background: Both social work activities and social initiatives, innovative solutions today it has to support the development and change of the society by producing. The purpose of this study is to investigate the impact of social entrepreneurship on firm performance of Turkey small and medium enterprises (SMEs) located in the Chinese ethnic community. In addition, the authors also examined the moderator role of social embeddedness in the relationship between social entrepreneurship and the Chinese ethnic community of Turkey SMEs on firm performance.

Because it is seen that the decomposition validity is achieved between the dimensions for HTMT values, the current study, using the survey-based methodology, used structural equation modeling to achieve the research objectives. Ques-tionnaires were issued among 628 participants in selected international companies in Turkey and China. To mitigate any uncertainty and errors, the questionnaires were distributed face-to-face by hand (in Turkey), online (in China). A total of 274 questionnaires were used for the analysis which makes up to the 53.6% of the response rate. The findings of this study show that social entrepreneurial behavior influences organizational performance with a significant mediation between family ties and social networks and a strong moderation in entrepreneurial leadership. The findings of the present study largely agreed with the results of the hypothesis. The results of this study will give an idea about how social entrepreneurial behavior and entrepreneurial leadership can affect organizational performance and how social embeddedness affects this relationship.

Outcomes will be important to SME leaders as they seek to link results, practices and results. SME leaders will better understand the role of social entrepreneurial behaviour and entrepreneurial leadership in corporate performance. This will apply in business practice and leadership in striving to improve the level of performance.

In this study, Turkey and China are limited to 274 participants in international companies. Because the findings of this study are limited to the sample it represents, there is no generalization of these results for all countries. However, given that the number of studies on this subject is very inadequate, this research is important in terms of shedding light on the work to be carried out next.

This empirical research confirms the impact of social entrepreneurial behavior on organizational performance. Social entrepreneurial behavior integrates organizational performance, family ties, social networking and entrepreneurial leadership and empirically tests the relationship between them. Trade relations will ensure the interlocking of the countries involved in the research, and thus, improve the relations of the countries.

The main aim of this study is to investigate the impact of social entrepreneurship on firm performance of Turkey SMEs located in the Chinese ethnic community. Trade relations will ensure the interlocking of the countries involved in the research and thus improve the relations of the countries. The authors believe that social entrepreneurial behaviour will close the gap in important mediation and entrepreneurial leadership between family ties and social networks and positively impact organisational performance. At the same time, as social capital is required for social work and social service is currently dealing with social capital at micro (bonding), mezzo (bridging) and macro (binding) levels, the authors recommend that studies be carried out that will contribute to the theoretical, research or application literature for the variables involved in the study.

The last three decades have witnessed strong development of global value chains (GVCs). Also, the Polish economy developed international production links along with the systemic transformation from the beginning of the 1990s. This led to changes in Poland's participation in GVCs.

The Purpose of the Chapter: The study's primary purpose is to characterise the evolution of Poland's participation in GVCs since the mid-1990s, including its key determinants.

Several research methods were used to achieve the study's goal, including critical literature analysis, statistical data analysis and descriptive methods. To determine Poland's share in the GVCs, the method of estimating domestic and foreign added value was used, which allowed for measuring the scale of production fragmentation and related trade in value-added.

The analysis allowed us to conclude that Poland has increased its share in GVCs, mainly inside the EU. Also, the industrial structure underwent positive changes. The increasing Poland's participation in the GVCs was primarily due to the inflow of FDI-related technology, the transformation of the economic structure, institutional and geographical factors. The improvement in the conditions for the functioning of the Polish economy has been reflected in international competitiveness rankings, where such attributes as geographical location, macroeconomic performance, human capital, market size, technical infrastructure and innovativeness are indicated. On the other hand, however, the tightness of the law, the efficiency of the government and public administration remains a challenge.

The purpose of this study is to explore the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports.

Based on the theoretical analysis of the mechanism of the digital economy’s influence on the binary margin of agricultural exports, this study empirically examines the effect and mechanism of the digital economy’s influence on the binary margin of agricultural exports based on China’s customs export data from 2011 to 2016.

The relevant findings are threefold. (1) The digital economy significantly improves the binary margin of agricultural exports, and its effect on the intensive margin is stronger than that on the expansive margin. After the expansive margin is subdivided, the effects on the three sub-variables of the expansive margin are in the following order: old products exported to new markets > new products exported to old markets > new products exported to new markets. (2) The heterogeneity analysis reveals that the digital economy has a stronger role in promoting the binary margin of exports for enterprises in the eastern region, high-income countries as the destination of exports and state-owned enterprises. (3) Mechanism analysis shows that the digital economy promotes the binary margin of agricultural exports by reducing trade costs and intensifying market competition.

First, in terms of research perspective, although there are some studies on the impact of the digital economy on export trade in existing literature, the research objects mainly focus on manufacturing enterprises. In fact, agricultural trade is susceptible to natural conditions and seasonal factors, and countries may impose more SPS measures and TBT measures on agricultural trade due to risk considerations. The relationship between the digital economy and agricultural trade also has its own characteristics, but there are few research studies in this area. At present, only Liu and Gao (2022), based on the data of total imports and exports of different agricultural products from 2004 to 2018, have established a vector auto-regressive model to empirically analyse the heterogeneous dynamic impact of the digital economy on the trade volume of agricultural products. In addition, Ma and Guo (2023) conducted an empirical test on the total effect, regional heterogeneity and threshold effect of the digital economy on agricultural export trade based on China’s provincial panel data from 2011 to 2020. Therefore, under the new circumstances of continuous integration of digital technology and agriculture, this study interprets the impact effect and mechanism of the digital economy on the binary margin of agricultural exports from the perspective of the digital economy, providing new research perspectives and approaches for promoting the growth of agricultural exports. Second, in terms of theoretical analysis, the above studies have not been fully analysed in terms of the specific mechanism of the impact of the digital economy on agricultural exports. Based on the positive and negative characteristics of agricultural trade, this study introduces two kinds of roles into the theoretical analysis framework to comprehensively determine the trade impact effect of the digital economy. Third, in terms of research design, this study empirically examines the impact of the digital economy on the binary margin of agricultural products, passing a series of robustness tests and investigating the mediating roles of trade cost and market competition effects, producing an empirical basis for China to leverage the digital economy to promote the binary margin of agricultural exports.

The purpose of this paper is to investigate the correlation and mechanism between international students and inbound tourism.

Taking 269 prefecture-level cities in China as a sample, bringing international students and inbound tourism into the same analytical framework, the paper applies the fixed-effects model, instrumental variables model and mediating effects model to investigate the impact of international students on inbound tourism.

International students significantly contribute to the increase in inbound tourists and tourism revenue in China, which remain valid after a series of robustness tests. When the relocation data of Chinese urban universities and faculties in the 1950s are used as an instrumental variable for the potential endogenous problems of international students, the results are still valid. Heterogeneity research shows that the impact of international students on inbound tourism has heterogeneous effects in different regions. In addition, the mechanism analysis shows that international students promote China’s inbound tourism mainly through two channels: the economic growth effect and the human capital effect.

This paper provides evidence of the correlation between international students and inbound tourism in developing countries. However, as the data for the study are all from China, caution should be taken when applying the findings of this paper to other regions.

This paper provides evidence on the causal relationship between international students and inbound tourism in developing countries. However, as the data for the study are all from China, caution should be taken when applying the findings of this paper to other regions.

This paper creatively finds out the instrumental variables of international students with academic education to deal with the potential endogenous problems, and then identifies the causal relationship between international students and inbound tourism.

This paper creatively finds out the instrumental variables of international students to deal with the potential endogenous problems and then identifies the correlation between international students and inbound tourism.

本文将研究样本扩大到中国266个地级市, 将留学生和入境旅游纳入同一分析框架, 从游客规模和旅游收入两个方面衡量入境旅游规模, 并调查留学生对入境旅游规模的影响及其机制。

本文通过使用面板数据的固定效应模型、工具变量和的中介效应, 考察国际学生与入境旅游之间的因果关系。

留学生显著促进了中国入境旅游收入和游客数量的增长, 经过一系列稳健测试后, 上述结果仍然成立; 以20世纪50年代中国城市高校和院系的搬迁数据作为国际学生应对潜在内生性问题的工具变量, 结果仍然有效; 异质性研究表明, 留学生入境旅游效应在不同的时间和地区具有异质性; 在机制分析中, 留学生促进中国入境旅游主要通过三个渠道：经济增长效应、人力资本效应和外商投资效应。

本文为发展中国家提供了国际学生与入境旅游之间因果关系的证据。但由于研究数据均来自中国, 将本文的研究结果应用于其他地区时需谨慎。

本文为发展中国家提供了国际学生与入境旅游之间因果关系的证据。但由于研究数据均来自中国, 将本文的研究结果应用于其他地区时需谨慎。

本文创造性地找出留学生学历教育的工具变量以应对潜在的内生性问题, 进而识别留学生与入境旅游之间的因果关系。

本文创造性地找出留学生学历教育的工具变量以应对潜在的内生性问题, 进而识别留学生与入境旅游之间的因果关系。

Tomando como muestra 266 ciudades de China a nivel de prefectura, e integrando a los estudiantes internacionales y el turismo receptor en el mismo marco analítico, el documento aplica el modelo de efectos fijos, el modelo de variables instrumentales y el modelo de efectos mediadores para investigar el impacto de los estudiantes internacionales en el turismo receptor.

El propósito de este documento es investigar la relación causal y el mecanismo entre los estudiantes internacionales y el turismo receptor.

Los estudiantes internacionales contribuyen significativamente al aumento de los turistas entrantes y de los ingresos por turismo en China, que siguen siendo válidos tras una serie de pruebas de solidez. Cuando utilizamos los datos de reubicación de las universidades y facultades urbanas chinas en la década de 1950 como variable instrumental para los posibles problemas endógenos de los estudiantes internacionales, los resultados siguen siendo válidos. La investigación de la heterogeneidad muestra que el impacto de los estudiantes internacionales en el turismo receptor tiene efectos heterogéneos en las distintas regiones. Además, el análisis del mecanismo muestra que los estudiantes internacionales promueven el turismo receptor de China principalmente a través de tres canales: el efecto del crecimiento económico, el efecto del capital humano y el efecto de la inversión extranjera.

Este trabajo aporta pruebas sobre la relación causal entre los estudiantes internacionales y el turismo receptor en los países en desarrollo. Sin embargo, como todos los datos del estudio proceden de China, hay que ser prudentes a la hora de aplicar los resultados de este trabajo a otras regiones.

Este documento aporta pruebas sobre la relación causal entre los estudiantes internacionales y el turismo receptor en los países en desarrollo. Sin embargo, dado que todos los datos del estudio proceden de China, debe tenerse precaución a la hora de aplicar los resultados de este documento a otras regiones.

Este trabajo descubre de forma creativa las variables instrumentales de los estudiantes internacionales con formación académica para hacer frente a los posibles problemas endógenos y, a continuación, identifica la relación causal entre los estudiantes internacionales y el turismo receptor.

Este trabajo descubre de forma creativa las variables instrumentales de los estudiantes internacionales para tratar los posibles problemas endógenos, y luego identifica la relación causal entre los estudiantes internacionales y el turismo receptor.

Currently, China’s manufacturing industry chain still faces the danger of chain breakage due to the persistent “lack of technology” issue. The definition and detection of key nodes in the industry chain are significant to the enhancement of the stability of the industry chain. Therefore, detecting the key nodes in the manufacturing industry chain is necessary.

A complex network based on the links amongst listed manufacturing enterprises is built, and the authors analyse the network’s basic characteristics and vulnerability, taking into account the impact of scientific and technological innovation on the stability of the industry chain.

It is found that the high structural characteristic of midstream nodes in the naval architecture and marine engineering equipment industry chain determines their importance to stability, and the key status of upstream nodes is reflected in the weakness of technological innovation. The upstream nodes should focus on improving their independent innovation and R&D capability, whilst the midstream nodes should maintain a close supply–demand cooperation relationship.

The key node detection model for industry chain stability is constructed by considering various factors from the perspective of network and technological innovation. Empirical study is conducted to verify effectiveness of proposed method.