影响美国高粱和棉花出口的因素:动态ARDL模拟方法

Tanmoy Kumar Ghose, Darren Hudson
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引用次数: 0

摘要

美国在高粱和棉花出口方面面临着来自阿根廷和巴西日益激烈的竞争。采用动态自回归分布滞后模型,研究发现美国高粱和棉花出口受到收获面积、产量和出口价格的积极影响。基于核最小二乘法的结果进一步证实了产量、出口价格和出口量之间的正因果关系。因此,美国必须优先开发适合当地的高产品种,同时保持质量以提高竞争力。为了减少对少数几个市场的过度依赖,美国需要使其出口市场多样化,以增强其抵御外部冲击和贸易壁垒的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Factors affecting U.S. sorghum and cotton exports: A dynamic ARDL simulation approach

Factors affecting U.S. sorghum and cotton exports: A dynamic ARDL simulation approach

The U.S. faces increasing competition from Argentina and Brazil for sorghum and cotton exports. Using a dynamic Auto Regressive Distributed Lag model, this study shows that U.S. sorghum and cotton exports are positively affected by area harvested, yield, and export price. The positive causal relationship between yield, export price, and exports are further confirmed by the Kernel Based Least Square results. Therefore, the U.S. must prioritize developing locally adapted high-yielding varieties while maintaining quality to increase competitiveness. Reducing overreliance on a few markets, the U.S. needs to diversify its export markets to strengthen its resilience against external shocks and trade barriers.

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