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The effect of volatility of RMB exchange rate about China's export - an empirical study based on Sino-US time series during 2005-2012

机译:人民币汇率波动率对中国出口的影响 - 基于2005 - 2012年中美时间序列的实证研究

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In order to analysis the influence of China's export to the US since the exchange rate system was reformed in 2005, according to Rose and Yellen's simplified trade balance model, this paper carries out an empirical analysis on Sino-US quarterly time series data of 2005-2012, with JJ cointegration test and Granger causality test. The empirical result shows that, because of this reform, the key factors affecting the long-term Sino-US trade surplus is still the US domestic consumer demand, the impact of Renminbi (RMB) appreciation on China's export is very small but has a tendency to increase. At present, most of the researches on bilevel programming problems are focused on single objective cases. This paper discusses a bilevel programming problem with upper level multiobjective optimization. In order to solve the problem efficiently, we present a genetic algorithm using interpolation. This method does not require solving lower optimization problem frequently. In the proposed algorithm, firstly, the interpolation functions are adopted to approximate lower level solution functions. As a result, the original problem can be approximated by a single-level multiobjective programming. In addition, the corresponding interpolation functions are updated such that these functions can approximate the lower level solution function very well. Finally, the multiobjective programming is solved for obtaining an optimal solution set of the original problem. The simulation on two examples indicates the proposed algorithm is effective and feasible.
机译:为了分析中国出口对美国的影响自2005年汇率制度自2005年改革以来,据罗斯和耶伦的简化贸易平衡模式,对2005年的中美季度序列数据进行了实证分析2012年,具有JJ协整检验和格兰杰因果关系测试。经验结果表明,由于这种改革,影响长期中美贸易顺差的关键因素仍然是美国国内消费需求,人民币(人民币)对中国出口的影响非常小但具有趋势增加。目前,大多数关于Bilevel编程问题的研究都集中在单身客观案件上。本文讨论了具有上层多目标优化的双级编程问题。为了有效地解决问题,我们呈现了使用插值的遗传算法。该方法不需要经常解决较低的优化问题。在所提出的算法中,首先,采用插值函数来近似较低级别解决方案函数。结果,原始问题可以通过单级多目标编程来近似。另外,更新相应的插值函数,使得这些功能可以很好地近似较低级别解决方案。最后,解决了多目标编程,用于获得原始问题的最佳解决方案集。两个示例上的仿真表示所提出的算法是有效和可行的。

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