Competitiveness or Complementarity? A Dynamic Network Analysis of International Agri-Trade along the Belt and Road

Liu, Chengliang; Xu, Jiaqi; Zhang, Hong

doi:10.1007/s12061-019-09307-5

Cited by 39 publications

(29 citation statements)

References 65 publications

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“…The findings show that the proposal of the BRI effectively influenced the intraregional trade pattern and led to rich dynamics [59]. Among studies on the trade networks of some typical products in the BRI region, products such as oil and gas resources [61,62], agricultural products [63], and virtual water [64] are still hotspots. However, high-tech sophisticated products' trade networks in manufacturing industries have not been analyzed in previous studies.…”

Section: Literature Reviewmentioning

confidence: 94%

Using Social Networks to Analyze the Spatiotemporal Patterns of the Rolling Stock Manufacturing Industry for Countries in the Belt and Road Initiative

Wang

Song

Sigley

et al. 2020

IJGI

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The new wave of modern rail transit and the proposal of the Belt and Road Initiative (BRI) have complicated the business patterns of the rolling stock manufacturing industry (RSMI) and the export of rolling stock products, especially in the case of countries participating in the BRI. Based on the analysis of trade patterns—which focuses on the evolution of trade links, community structures, and intraregional export competitiveness—this study aims to explore the changes in the RSMI within the BRI region from 2003 to 2017. Sequential clustering was applied to the creation of a three-phase timeline. The network models of the cumulative trade of the rolling stock products and trades of two typical categories of products were constructed in each phase for the evolution analysis. Social network analysis methods, such as the analysis of network indices and community detection, were also applied. The results show that from 2003 to 2017, the connectivity of the rolling stock trade in this region significantly increased. China was the largest exporter, with increasing trade influence and technological strength. Ukraine and Russia were less competitive and highly mutually dependent. Czechia and Austria’s competitiveness remained prominent, but compared with China they lacked expansive vitality. South Korea was also an active and competitive country with strong technological prowess. These countries accounted for the majority of the exports, and were always at the center of their own separate communities, over which they maintained a sphere of influence. The grouping of countries far from any such spheres of influence changed frequently.

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Section: Literature Reviewmentioning

confidence: 94%

Using Social Networks to Analyze the Spatiotemporal Patterns of the Rolling Stock Manufacturing Industry for Countries in the Belt and Road Initiative

Wang

Song

Sigley

et al. 2020

IJGI

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“…Therefore, the regional consistency should be taken into consideration. According to the official Belt and Road Map (https://ydyl.tianditu.gov.cn/), we select 65 countries along the B&R as our research area, which is in line with the existing studies [28,29]. The countries are divided into six major regions based on World Bank's classification by region: East Asia (two countries), South-East Asia (11 countries), South Asia (eight countries), Central Asia (five countries), West Asia and the Middle East (19 countries) and Central and Eastern Europe (20 countries), as shown in Figure 1.…”

Section: Research Areamentioning

confidence: 99%

Section: Sustainability 2019 11 X For Peer Review 4 Of 17mentioning

confidence: 99%

The Structure and Dynamic of Scientific Collaboration Network among Countries along the Belt and Road

Gui

Liu

2019

Sustainability

Self Cite

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Although a number of studies have discussed the economic, geopolitical and environmental impacts of the Belt and Road Initiative (BRI), there is a scarcity of analysis on the importance of science in the Belt and Road (B&R). Adopting bibliographical data from Clarivate Analytics’ Web of Science database for the period 2000–2018, this study investigates the network properties, topological structure, spatial pattern, position of countries, core-periphery sets, and the hierarchy of the network from a dynamic perspective. The results show that scientific collaboration is increasingly frequent. The “hub-and-spoke” and triangulated structures coexist, shaping the landscape of the network. With the decline of Central and Eastern Europe, and the rise of the Asia-Pacific region, the spatial pattern evolves from ‘‘strong Western and weak Eastern” to ‘‘weak Western and strong Eastern’’. The central position has been occupied by India, China, and Turkey, while Russia’s influence has lessened over time. Moreover, the collaboration network is a typical core–periphery structure with prominent hierarchical features. China, Poland, and Saudi Arabia are the top-tier coordination centers within sub-networks. Finally, this study provides policy recommendations and prospective research directions.

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“…Existing literature has studied the investment environment (Li et al, 2019a), scientific collaboration network (Gui et al, 2019), trade efficiency (Fan et al, 2016), traffic patterns (Wang et al, 2015), flow distribution (Sheu and Kundu, 2018), agricultural development (Li et al, 2018;Liu et al, 2019), environmental degradation (Hafeez et al, 2018), nomadic ecology (Frachetti et al, 2017;Hermes et al, 2018), and resource cooperation (Dong et al, 2015;Yu et al, 2015) within the framework of BRI. By constructing the integration index, the existing literature analyses the impact of cultural integration, tariff reduction and trade facilitation on inter-regional trade relations (Wang, 2017;Chung, 2018).…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal Evolution and Determinants of the Belt and Road Initiative: A Maximum Entropy Gravity Model Approach

et al. 2020

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The spatial interaction model is an effective way to explore the geographical disparities inherent in the Belt and Road Initiative (BRI) by simulating spatial flows. The traditional gravity model implies the hypothesis of equilibrium points without any reference to when or how to achieve it. In this paper, a dynamic gravity model was established based on the Maximum Entropy (MaxEnt) theory to estimate and monitor the interconnection intensity and dynamic characters of bilateral relations. In order to detect the determinants of interconnection intensity, a Geodetector method was applied to identify and evaluate the determinants of spatial networks in five dimensions. The empirical study clearly demonstrates a heterogeneous and non-circular spatial structure. The main driving forces of spatial-temporal evolution are foreign direct investment, tourism and railway infrastructure construction, while determinants in different sub-regions show obvious spatial differentiation. Southeast Asian countries are typically multi-island area where aviation infrastructure plays a more important role. North and Central Asian countries regard oil as a pillar industry where power and port facilities have a greater impact on the interconnection. While Western Asian countries are mostly influenced by the railway infrastructure, Eastern European countries already have relatively robust infrastructure where tariff policies provide a greater impetus.

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Competitiveness or Complementarity? A Dynamic Network Analysis of International Agri-Trade along the Belt and Road

Cited by 39 publications

References 65 publications

Using Social Networks to Analyze the Spatiotemporal Patterns of the Rolling Stock Manufacturing Industry for Countries in the Belt and Road Initiative

Using Social Networks to Analyze the Spatiotemporal Patterns of the Rolling Stock Manufacturing Industry for Countries in the Belt and Road Initiative

The Structure and Dynamic of Scientific Collaboration Network among Countries along the Belt and Road

Spatial-temporal Evolution and Determinants of the Belt and Road Initiative: A Maximum Entropy Gravity Model Approach

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