Market reactions to trade friction between China and the United States: Evidence from the soybean futures market

Li, Ping; Wen, Tian; Chen, Lei; An, Yunbi

doi:10.1016/j.jmse.2022.12.002

Cited by 5 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…x x X se(x)   (8) where X denotes the variable; x denotes the mean of the variable; and se(x) denotes the standard deviation of the variable. Finally, the standardized processed data are subjected to first-order differencing to ensure the smoothness of the time series data.…”

Section: Data Preprocessingmentioning

confidence: 99%

“…According to data from the U.S. Department of Agriculture's Foreign Agricultural Service, China is firmly in the top two countries of U.S. agricultural export destinations from 2009 to 2021 [6], with soybeans being the main agricultural product exported from the U.S. to China [7]. Therefore, changes in U.S. trade policy are bound to impact China's agricultural market [8]. Food security is the top priority for the country's economy and people's livelihood, and there can be no room for paralysis on this issue [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of the Impact of U.S. Trade Policy Uncertainty on China’s Grain Trade

Yang,

Gai,

Zhang

et al. 2024

Sustainability

View full text Add to dashboard Cite

U.S. trade protectionism has frequently risen recently, and trade policy fluctuations have become increasingly significant. In this context, examining the impact of U.S. trade policy uncertainty on China’s grain trade is of great significance to China’s response to changes in the international trade situation, guaranteeing national food security and promoting sustainable agricultural development. From the statistical data, the U.S. trade policy uncertainty and China’s grain imports primarily show a reverse trend, and China’s grain exports show a positive trend. To further explore the impact of U.S. trade policy uncertainty on China’s grain trade, this study selects the monthly data from July 2003 to December 2022. It conducts impulse response analysis by constructing a vector autoregressive model with stochastic volatility. It is found that the impact of U.S. trade policy uncertainty on China’s grain trade has prominent time-varying characteristics and point-in-time effects, and the impact on different kinds of grain is heterogeneous. In this regard, China needs to clarify the nature of the trade dispute between China and the United States, reasonably utilize the multilateral coordination mechanism of the WTO, coordinate the international and domestic markets, adjust the short board of grain trade, and safeguard the sustainable development of Chinese agriculture.

show abstract

Section: Data Preprocessingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Impact of U.S. Trade Policy Uncertainty on China’s Grain Trade

Yang,

Gai,

Zhang

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…The reason for the significant changes in maize and soybean areas was mainly the government's macro policies. There may be several other factors that contributed to the change in planting structure, such as market demand, trade friction, and technological level [50,51]. Future research will explore the relationship between these factors and the planting structure change.…”

Section: The Advantages and Limits Of The Studymentioning

confidence: 99%

Mapping Main Grain Crops and Change Analysis in the West Liaohe River Basin with Limited Samples Based on Google Earth Engine

Wang,

Liu,

Wang

2023

Remote Sensing

View full text Add to dashboard Cite

It is an important issue to explore achieving high accuracy long-term crop classification with limited historical samples. The West Liaohe River Basin (WLRB) serves as a vital agro-pastoral ecotone of Northern China, which experiences significant changes in crop planting structure due to a range of policy. Taking WLRB as a case study, this study constructed multidimensional features for crop classification suitable for Google Earth Engine cloud platform and proposed a method to extract main grain crops using sample augmentation and model migration in case of limited samples. With limited samples in 2017, the method was employed to train and classify crops (maize, soybean, and rice) in other years, and the spatiotemporal changes in the crop planting structure in WLRB from 2014 to 2020 were analyzed. The following conclusions were drawn: (1) Integrating multidimensional features could discriminate subtle differences, and feature optimization could ensure the accuracy and efficiency of classification. (2) By augmenting the original sample size by calculating the similarity of the time series NDVI (normalized difference vegetation index) curves, migrating the random forest model, and reselecting the samples for other years based on the model accuracy scores, it was possible to achieve a high crop classification accuracy with limited samples. (3) The main grain crops in the WLRB were primarily distributed in the northeastern and southern plains with lower elevations. Maize was the most predominant crop type with a wide distribution. The planting area of main grain crops in the WLRB exhibited an increasing trend, and national policies primarily influenced the variations of planting structure in maize and soybean. This study provides a scheme for extracting crop types from limited samples with high accuracy and can be applied for long-term crop monitoring and change analysis to support crop structure adjustment and food security.

show abstract

“…[ 23 ] evaluated the impact of the U.S.–China trade conflict on both, Chinese and U.S. stock markets at the industry level, using a comparative analysis. [ 3 , 24 ], and [ 25 ] divided the sample into several periods (e.g., before and after trade friction) to explore the impact of trade friction on the capital market. The event study method is widely used in literature on the impact of exogenous events on the stock market.…”

Section: Introductionmentioning

confidence: 99%

The influence of trade friction on the stability of stock market: Evidence from China

Guo,

Liu,

Tang

2023

Heliyon

View full text Add to dashboard Cite

Market reactions to trade friction between China and the United States: Evidence from the soybean futures market

Cited by 5 publications

References 24 publications

Analysis of the Impact of U.S. Trade Policy Uncertainty on China’s Grain Trade

Analysis of the Impact of U.S. Trade Policy Uncertainty on China’s Grain Trade

Mapping Main Grain Crops and Change Analysis in the West Liaohe River Basin with Limited Samples Based on Google Earth Engine

The influence of trade friction on the stability of stock market: Evidence from China

Contact Info

Product

Resources

About