Features and Evolution of Global Energy Trade Network Based on Domestic Value-Added Decomposition of Export

Energy ◽  
2021 ◽  
pp. 120486
Author(s):  
Gang Wu ◽  
Yue Pu ◽  
Tianran Shu
PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246250
Author(s):  
Bo Wang ◽  
Yue Pu ◽  
Shunli Li ◽  
Lin Xu

Based on a new trade accounting method—the trade in value-added accounting method—this paper constructs the international manufacturing trade in value-added networks and preferential trade agreement (PTA) networks and uses the complex network analysis method to explore the relations between PTA and international manufacturing trade in value-added from the perspective of the global value chain. The results are as follows: (1) Over the years, the international manufacturing trade in value-added networks and PTA networks has shown a significant clustering effect, and the size of networks has grown rapidly. (2) The TEX, DVA and FVA networks of the international manufacturing value added trade over the years can be divided into two societies in the Asia-Pacific region and the European region. This division just reflects the different modes of division of labor in the manufacturing value chain of the two major economic regions in the world. (3) QAP analysis shows that the influencing factors of the traditional gravity model can still explain the manufacturing trade network and its value-added trade network, while the influence of economic globalization, the enlargement of the EU and the internationalization strategy of enterprises, the PTA network and manufacturing value-added the relationship between trade networks changed from positive to negative in 2004.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Guangjun Sui ◽  
Jialing Zou ◽  
Shuang Wu ◽  
Danling Tang

With the deepening of regional industrial transfer, traditional trade data cannot fully explain the real level of trade in a region. This paper aims to reveal the changing pattern of real trade along the “Belt and Road” by establishing a value-added trade (VAT) network of the “Belt and Road” countries and comparing it with the trade network. Applying a network method, we analyze and compare the structures, characteristics, evolutions, and underlying dynamisms of both networks. With a thorough interpretation and visualization of the network density, network centrality, trade communities, and influencing factors of both networks in the three time sections of 2005, 2010, and 2015, we come to the following findings: (1) the connectivity of both networks has been greatly enhanced, reflecting a more integrated regional economy. (2) The center-external structure of both networks has been further strengthened and the polarization of the VAT network is more obvious than that of the trade network. (3) The organizations of trade communities and VAT communities are largely different. Specifically, China rapidly increased its core position in the VAT network and incorporated more and more countries into its VAT community. (4) The underlying factors have similar impacts on both networks. While the growth of regional economic size and free trade agreements will enhance both trade and VAT, the economic gaps and population differences among the “Belt and Road” countries will prohibit regional economic ties. Based on these findings, we propose suggestions on further regional economic cooperation by taking advantage of China’s core position to promote regional VAT, construct broad trade channels, and enhance trade governance.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julio Rojas-Mora ◽  
Felipe Chávez-Bustamante ◽  
Cristian Mondaca-Marino

PurposeThe 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.Design/methodology/approachUsing 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.FindingsThe 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.Originality/valueThis 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.


2017 ◽  
Vol 03 (02) ◽  
pp. 227-242 ◽  
Author(s):  
Hongyuan Yu

Due to institutional fragmentation and conflicts among various actors, a systematic reform to improve the effectiveness of the global energy governance system has become increasingly urgent. Currently, the Group of Twenty (G20), which consists of the world’s major economies and constitutes 60 percent of global energy trade, is in a good position to remold the global framework for energy governance. The past G20 summit meetings have witnessed more attention and efforts from member-state leaders to address problems associated with global energy. However, most of the discussion has been focused on technical issues rather than a comprehensive review of the whole governance system. In the future, the G20 should take proactive measures to enhance its leadership role and policy innovation in the reform of global energy governance, in order to spur green development of the world. As the largest developing nation, China should tap into the G20 platform to advance the transformation of its domestic and international energy systems.


2016 ◽  
Vol 16 (sup1) ◽  
pp. S92-S109 ◽  
Author(s):  
Steve Pye ◽  
Christophe McGlade ◽  
Chris Bataille ◽  
Gabrial Anandarajah ◽  
Amandine Denis-Ryan ◽  
...  

2017 ◽  
Vol 107 (2) ◽  
pp. 276-295 ◽  
Author(s):  
Yu Yang ◽  
Jessie P. Poon ◽  
Wen Dong

2021 ◽  
Vol 13 (18) ◽  
pp. 10199
Author(s):  
Germán G. Creamer ◽  
Tal Ben-Zvi

This paper evaluates the effect of energy trade networks on the price volatility of coal, oil, natural gas, and electricity. This research conducts a longitudinal analysis using a time series of static coal trade networks to generate a dynamic trade network. It uses the component causality index as a leading indicator of the price volatility of the energy market. This research finds out that the component causality index, based on degree centrality, anticipates or moves together with coal volatility and, to a lesser degree, with natural gas and electricity volatility for the period 1998–2014. The proposed index could be integrated into a risk management system for investors and regulators. The broad impact of this research lies in the understanding of mechanisms of the instability and risk of the energy sector as a result of a complex interaction of the network of producers and traders.


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