scholarly journals Trade War: The Future of India China Trade Relations

Author(s):  
Namya Prabhakar ◽  
Satya Narayan Misra
2017 ◽  
pp. 187-209
Author(s):  
Kee-Cheok Cheong ◽  
Siew-Yong Yew ◽  
Chen-Chen Yong

Asian Survey ◽  
2021 ◽  
Vol 61 (1) ◽  
pp. 1-10
Author(s):  
Uk Heo

The biggest stories of the year 2020 were the COVID-19 pandemic and a trade dispute between the United States and China. The pandemic significantly damaged the Asian economies. The US-China trade war halted after a phase one trade deal and the pandemic, but the future is unclear.


Author(s):  
Anna Sergeevna Iuniushkina ◽  
Kristina Alekseevna Shapovalova ◽  
Evgeniya Yur'evna Katkova

Confrontation between the two most economically developed countries and the advent of coarse trade wars has disturbed the international arena in 2017. One of the causes for such contradictory relations is presidency and election campaign of Donald Trump, who actively advocated the need to change the structure of relations between the United States and China. This article is an attempt to get a grasp on the origins of contradictions, trace the chronology of the development of trade wars, and carry out a comprehensive analysis of the methods and instruments used by the governments of both countries to resolve the conflict. The key goal of this research is to determine the main causes underlying the trade-economic rivalry between China and the United States, as well as the prerequisites for the emergence of trade wars between the countries. Special attention is given to the U. S. – China contradictions during the presidency of D. Trump. Methodological framework is comprised of theoretical methods of analysis, synthesis, and comparison, as well as systematic approach for examining the key challenges emerging in the trade relations between China and the United States, and mechanisms for overcoming them. In the studying the in-depth motives of the modern conflict, the authors referred to the power transition theory, which clarifies the origins of contradictions between the countries. The novelty of this work consist is consideration of the current stage of U. S.  – China trade war, which continues despite the outbreak of the worldwide COVID-19 pandemic. The conclusion is made that the contradictions between PRC and the United States are of compound, and thus, not limited by contradictions in the trade-economic sphere, which conditions for long-run conflict.


2019 ◽  
Vol 9 (4) ◽  
pp. 1
Author(s):  
Nguyen Quang Hiep

By calculating the trade indexes (TII, RCA and IIT), mainly in the period 2001-2017, the article analyzes current situation of the dependent relationship and ability to complement each other on trade between Vietnam and China. The results show that Vietnam and China are increasingly becoming important trade partners of each other; Vietnam and China have a particular advantage in the export structure of its exports, showing the trade relations between the two countries are complementary to each other; and the level of intra-industry trade between Vietnam and China is quite high. The US - China trade war broke out will cause the  reversal of the global trade environment. However, in short term, the trade context of the Vietnam - China less affected by this tension. But in the long term, the sanctions are expanded to different sectors will can have unpredictable effects.


2021 ◽  
Vol 14 (2) ◽  
pp. 76
Author(s):  
Petr Suler ◽  
Zuzana Rowland ◽  
Tomas Krulicky

The objective of this contribution is to predict the development of the Czech Republic’s (CR) exports to the PRC (People’s Republic of China) using ANN (artificial neural networks). To meet the objective, two research questions are formulated. The questions focus on whether growth in the CR’s exports to the PRC can be expected and whether MLP (Multi-Layer Perceptron) networks are applicable for predicting the future development of the CR’s exports to the PRC. On the basis of previously obtained historical data, ANN with the best explanatory power are generated. For the purpose specified, three experiments are carried out, the results of which are described in detail. For the first, second and third experiments, ANN for predicting the development of exports are generated on the basis of a time series with a 1-month, 5-month and 10-month time delay, respectively. The generated ANN are the MLP and regression time series neural networks. The MLP turn out to be the most efficient in predicting the future development of the CR’s exports to the PRC. They are also able to predict possible extremes. It is also determined that the USA–China trade war has significantly affected the CR’s exports to the PRC.


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