The Dimensions of the US-China Trade War

Zreik, Mohamad

doi:10.1515/openps-2020-0004

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…The main issue is what the consequences of this type of war are. China's trade war with the US will negatively affect both China and the United States (Zreik, 2020). The main negative impact of the trade war is mainly that it will also negatively affect other countries as well as international organizations.…”

Section: The Consequences Of the Us-china Trade Warmentioning

confidence: 99%

An Analytical Review of the US-China Trade “War”

Karakostas¹

2022

Eur. j., econ.

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Nowadays China has achieved excellent economic performance in recent years. Although the US is the "ruler" of the modern international economic-political system, China's continuous and, rapid economic course has weakened the primacy of the US, with consequences that are perceived in the global economic system. Of course, China has been accused of practices of economic "mercantilism." On the basis of these mercantilist accusations, a kind of war broke out with the US. War is commercial and economic in nature. The questions that arise, however, are the following: What are the reasons for the trade war between the US and China? What are the consequences of the trade war in the countries involved? What are the implications of the trade war for the international economic system? This study will attempt to provide appropriate answers to the above-mentioned questions.

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Section: The Consequences Of the Us-china Trade Warmentioning

confidence: 99%

An Analytical Review of the US-China Trade “War”

Karakostas¹

2022

Eur. j., econ.

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“…Trump during his term of office criticized even partners and allies such as Germany for its commercial relations with PRC. In the words of Mohamad Zreik, "surprisingly Europe did not agree with Trump's economic policy toward China, and asked him to back down, and with this American strategy, the Europeans became closer to China and weaving an economic alliance" (Zreik 2020).…”

Section: The Us Trade War With Chinamentioning

confidence: 99%

Revisiting the Us-China Trade War: A Strategic Assessment

Mehmood

Khan²

2021

Austral

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The relations among United States of America and People’s Republic of China have historically survived several bouts and rounds however the approach employed by the Trump Administration for a program involving reprisal hefty tariff-trade war against China has given a new face to the bilateral relations between the two states. The paper demonstrates that domestic and international agents played a vital role in initiating and nurturing the trade clash between Washington and Beijing since 2018 to date. The aim of the study is to ascertain that how the political climate and past pursuits of one country conditions policy outcomes in another, and how domestic political pressures on politician’s conditions their relations with foreign counterparts. The paradigm of rational choice theory is adopted to provide a conceptual understanding to the triggering of the trade war between the economic giants.

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“…Trade is a fundamental economic term that involves products and services, buying and selling, with a buyer compensating a seller or the exchange of products or services between parties (Zreik 2020 ). Trade data consists of imports, trade balance, and exports.…”

Section: Introductionmentioning

confidence: 99%

H3O-LGBM: hybrid Harris hawk optimization based light gradient boosting machine model for real-time trading

Gupta

Kumar

2023

Artif Intell Rev

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The gross domestic product (GDP) of a country is mainly dependent on its trade and external sector which improves the country's income. According to FY2021–2022, India's nominal GDP is estimated to be 3.12 trillion US dollars. Overall exports and imports have a year-over-year increase of 49.6% and 68% respectively. Machine learning techniques have the potential to improve India's Current gross value by up to 15% by the year 2035. The integration of data, Technology, and talent helps to create intelligent models that enhance artificial intelligence growth. This paper presents an optimized light gradient boosting machine (Light GBM) model using the hybrid Harris hawk optimization (H 3 O) algorithm for trade forecasting. The overfitting problem in the conventional Harris Hawk Optimization is overcome using the exclusive feature bundling (EFB) and the gradient-based one-side sampling (GOSS) methodologies. The H 3 O optimization algorithm offers fast convergence by optimizing different lightGBM parameters such as a number of training iterations, maximum depth, minimal data in the leaf, etc. To improve the performance, one step further, the residual errors of the optimized lightGBM model are corrected using the Markov Chain model. The main aim of the optimized lightGBM model is to extract the crucial input values of certain variables such as imports and exports of goods and services, service trade, and merchandise trade and predict the price movement decision. The proposed model identifies the interrelationship with the external market and future market growth along with analyzing the variation in market conditions. The prediction decision is mainly to hold, but, or sell the stocks. When evaluated using the precious metal price forecast and stock market datasets, the proposed methodology shows that the hybrid approach can enhance the prediction performance. The results show that the input parameters were efficient in predicting the economic growth regarding the Intermarket trading system (ITS) and services with higher accuracy.

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The Dimensions of the US-China Trade War

Cited by 10 publications

References 2 publications

An Analytical Review of the US-China Trade “War”

An Analytical Review of the US-China Trade “War”

Revisiting the Us-China Trade War: A Strategic Assessment

H3O-LGBM: hybrid Harris hawk optimization based light gradient boosting machine model for real-time trading

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