scholarly journals Understanding the Role of Humanistic Factors in Trade Network Evolution across the Belt and Road Initiative Countries Using the Exponential Random Graph Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jianjun Xu ◽  
Xiaowei Yang ◽  
Asif Razzaq
Keyword(s):  
Graph Model ◽  
Exponential Random Graph Model ◽  
Belt And Road Initiative ◽  
Trade Network ◽  
Random Graph Model ◽  
Exponential Random Graph ◽  
Belt And Road ◽  
Import Trade ◽  
The Belt And Road

Humanistic factors have been playing increasingly significant roles in international trade. Recently, the Belt and Road Initiative (BRI) proposed by China has drawn worldwide attention. This paper examines the roles of humanistic factors in international trade networks across the BRI countries. Firstly, we analyzed the structural characteristics of the import trade network across the 61 BRI countries and subsequently adopted the cross-sectional exponential random graph model (ERGM) and temporal ERGM to analyze the role of different humanistic factors in the evolution of import trade network from the static and dynamic perspectives, respectively. The results show the following: (I) the network scale of the import trade across the BRI countries has been expanding, the network density of the trade has been increasing gradually, and the “small-world” characteristics of import network are gradually revealed; (II) all of the factors such as a common (official or spoken) language, a common legal origin, a common religious belief, and ever sibling relationship help the BRI countries establish closer import trade ties; and (III) the differences of trade liberalization and financial liberalization, gross domestic product (GDP), and population in different countries also contribute to the evolution of import trade network among the BRI countries, and the countries with relatively higher GDP and greater population are more active in the import trade network.

The role of logistics in promoting Italian agribusiness: The Belt and Road Initiative case study

2021 ◽  
Vol 108 ◽  
pp. 105560
Author(s):  
Fabio Carlucci ◽  
Carlo Corcione ◽  
Paolo Mazzocchi ◽  
Barbara Trincone
Keyword(s):  
Belt And Road Initiative ◽  
Belt And Road ◽  
The Belt And Road

scholarly journals Symptom and Age Homophilies in SARS-CoV-2 Transmission Networks during the Early Phase of the Pandemic in Japan

Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 499
Author(s):  
Ali Andalibi ◽  
Naoru Koizumi ◽  
Meng-Hao Li ◽  
Abu Bakkar Siddique
Keyword(s):  
Early Stage ◽  
Graph Model ◽  
Initial Response ◽  
Contact Tracing ◽  
Pcr Analysis ◽  
Exponential Random Graph Model ◽  
Transmission Networks ◽  
Random Graph Model ◽  
Healthcare Settings ◽  
Exponential Random Graph

Kanagawa and Hokkaido were affected by COVID-19 in the early stage of the pandemic. Japan’s initial response included contact tracing and PCR analysis on anyone who was suspected of having been exposed to SARS-CoV-2. In this retrospective study, we analyzed publicly available COVID-19 registry data from Kanagawa and Hokkaido (n = 4392). Exponential random graph model (ERGM) network analysis was performed to examine demographic and symptomological homophilies. Age, symptomatic, and asymptomatic status homophilies were seen in both prefectures. Symptom homophilies suggest that nuanced genetic differences in the virus may affect its epithelial cell type range and can result in the diversity of symptoms seen in individuals infected by SARS-CoV-2. Environmental variables such as temperature and humidity may also play a role in the overall pathogenesis of the virus. A higher level of asymptomatic transmission was observed in Kanagawa. Moreover, patients who contracted the virus through secondary or tertiary contacts were shown to be asymptomatic more frequently than those who contracted it from primary cases. Additionally, most of the transmissions stopped at the primary and secondary levels. As expected, significant viral transmission was seen in healthcare settings.

scholarly journals Impact of Transport Infrastructure on Gross Regional Products: Evidence from Chinese Provinces under the “Belt and Road Initiative”

2020 ◽  
Vol 2 (2) ◽  
pp. 23-45
Author(s):  
Jin-Hui Li ◽  
Chol-Ju An ◽  
Gwang-Nam Rim
Keyword(s):  
Economic Growth ◽  
Economic Benefits ◽  
Transport Infrastructure ◽  
Belt And Road Initiative ◽  
Regression Analyses ◽  
Belt And Road ◽  
Development Levels ◽  
The Impact ◽  
The Belt And Road

Purpose: This paper analyzes the impact of transport infrastructure on Gross Regional Products in Chinese provinces under the “Belt and Road Initiative”. Methods: The impact of the key elements of transport infrastructure on Gross Regional Products is analyzed based on the data related to development levels of transport infrastructure and economic development. Correlation and regression analyses were used for data analysis. Results: It is found that railways and highways, which are the key elements of transport infrastructure, have a strong correlation with Gross Regional Products, and their effects are diverse among provinces under study. Implications: The findings demonstrate the position and role of diverse infrastructural elements in enhancing the economic benefits of infrastructural investment and promoting economic growth. Thus, it is expected to facilitate decision-making related to infrastructural investment under the “Belt and Road Initiative”.

scholarly journals China's Economic Statecraft: The Role of the Belt and Road Initiative

2021 ◽  
Vol XXIV (Issue 2) ◽  
pp. 1019-1036
Author(s):  
Luiza Kostecka-Tomaszewska ◽  
Monika Krukowska
Keyword(s):  
Belt And Road Initiative ◽  
Economic Statecraft ◽  
Belt And Road ◽  
The Belt And Road

scholarly journals The drivers of regulatory networking: policy learning between homophily and convergence

2018 ◽  
Vol 39 (3) ◽  
pp. 443-464 ◽  
Author(s):  
Francesca P. Vantaggiato
Keyword(s):  
Regulatory Networks ◽  
Graph Model ◽  
Exponential Random Graph Model ◽  
Random Graph Model ◽  
Market Structures ◽  
Exponential Random Graph ◽  
Policy Frameworks ◽  
Regulatory Coordination ◽  
Regular Network ◽  
The Eu

AbstractThe literature on transnational regulatory networks identified interdependence as their main rationale, downplaying domestic factors. Typically, relevant contributions use the word “network” only metaphorically. Yet, informal ties between regulators constitute networked structures of collaboration, which can be measured and explained. Regulators choose their frequent, regular network partners. What explains those choices? This article develops an Exponential Random Graph Model of the network of European national energy regulators to identify the drivers of informal regulatory networking. The results show that regulators tend to network with peers who regulate similarly organised market structures. Geography and European policy frameworks also play a role. Overall, the British regulator is significantly more active and influential than its peers, and a divide emerges between regulators from EU-15 and others. Therefore, formal frameworks of cooperation (i.e. a European Agency) were probably necessary to foster regulatory coordination across the EU.

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