哈萨克斯坦与区域全面经济伙伴关系国家对外贸易发展前景

R. Dulambayeva, G. Yessenzholova
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引用次数: 0

摘要

该研究通过分析经济开放度指标和使用计量经济学预测模型,致力于研究哈萨克斯坦与全面区域经济伙伴关系(CREP)国家的对外贸易发展前景。这项工作的相关性是由于需要考虑哈萨克斯坦与新的贸易协会CREP的对外贸易关系的发展前景,以便根据循证政策的原则进一步形成这种关系的发展方向,因为研究中获得的结果可以作为在贸易和海关政策领域作出公共管理决策的基础。在文章的框架内,作者采用了一种结合研究方法的策略,并对使用每种方法的结果进行了比较分析。因此,使用了Box-Jenkins预测的计量经济学方法,指数平滑,并使用测试来检查其充分性和有效性。预测误差计算,如均方根误差,平均绝对误差和平均绝对误差的百分比。研究结果预测了哈萨克斯坦与该地区国家的短期外贸营业额,使我们能够得出这些贸易关系发展的积极动态的结论。基于指数平滑法的预测精度更高,误差最小,易于应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prospects for the Development of Foreign Trade of Kazakhstan with the Countries of the Regional Comprehensive Economic Partnership
   The study is devoted to the study of the prospects for the development of Kazakhstan’s foreign trade with the countries of the Comprehensive Regional Economic Partnership (CREP) by analyzing the indicators of the openness of the economy and the use of econometric forecasting models. The relevance of the work is due to the need to consider the prospects for the development of Kazakhstan’s foreign trade relations with the new trade association CREP for further formation of directions for the development of such relations based on the principles of evidence-based policy, since the results obtained in the study can serve as a basis for making public management decisions in the field of trade and customs policy. Within the framework of the article, the authors applied a strategy of combined research methods with a comparative analysis of the results of using each of them. Thus, econometric methods of Box-Jenkins forecasting, exponential smoothing with the use of tests to check their adequacy and validity were used. Forecast errors are calculated, such as the root-mean-square error, the average absolute error and the average absolute error as a percentage. The study resulted in forecasts of Kazakhstan’s foreign trade turnover with the CREP countries for the short term, which allowed us to conclude about the positive dynamics of the development of these trade relations. A more accurate forecast is presented based on the use of the exponential smoothing method, which demonstrates the smallest error size and is easier to apply.
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