中国进出口动态的结构性变化

V. V. Narbut, T. I. Chinaeva, E. I. Larionova
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For each stage, trend equations were selected that describe the dynamics of exports and imports and an interval forecast of indexes for 2021 was made. Materials and methods. During the work, dynamic, structural analysis of analytical and statistical information was used; methods of analytical, logical, systemic, correlation and regression analysis were used, as well as analysis of structural changes. The analysis was carried out using the Statistica 10.0 program.Results. A change in the value of the import coverage ratio by exports was revealed before and after structural changes in the dynamics of the main foreign economic indexes and an assessment of their statistical significance was given. An analysis of the influence of export dynamics on GDP dynamics was carried out and it was found that before structural changes, the influence of export dynamics on GDP dynamics was statistically insignificant, and after a structural change, export dynamics began to have a direct impact on changes in China’s GDP. Conclusion. Analysis of official statistical data on the main indexes of China’s foreign economic activity for the period from 2000 to 2020 allowed us to note that the volume of Chinese exports increased over the period 2010-2019 from $1.58 trillion in 2010 (10.34% of global exports), to $2.50 trillion in 2019 (12.81% of global exports). In 2019, China continued to rank first in terms of export value among all countries in the world. 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引用次数: 0

摘要

中国奉行的经济政策已使中国成为贸易大国。就国内生产总值而言,中国经济近年来连续多年位居世界第一;中国迅速增长的贸易流量使其成为许多国家的最大贸易伙伴。在过去二十年里,中国的进出口快速增长。文章提出了 2000 年至 2020 年期间中国出口动态存在结构不稳定性的假设。假设得到了证实,并确定了主要发展趋势性质不同的两个进出口动态阶段:2000 年至 2008 年和 2009 年至 2020 年。为每个阶段选择了描述进出口动态的趋势方程,并对 2021 年的指数进行了区间预测。材料和方法。在工作中,使用了分析和统计信息的动态结构分析;使用了分析、逻辑、系统、相关和回归分析方法,以及结构变化分析方法。分析使用 Statistica 10.0 程序进行。在主要对外经济指标动态发生结构性变化前后,出口对进口的覆盖率值发生了变化,并对其统计意义进行了评估。对出口动态对 GDP 动态的影响进行了分析,发现在结构变化之前,出口动态对 GDP 动态的影响在统计上并不显著,而在结构变化之后,出口动态开始对中国 GDP 的变化产生直接影响。结论通过对 2000 年至 2020 年期间中国对外经济活动主要指标的官方统计数据进行分析,我们可以注意到,在 2010-2019 年期间,中国出口额从 2010 年的 1.58 万亿美元(占全球出口额的 10.34%)增加到 2019 年的 2.50 万亿美元(占全球出口额的 12.81%)。2019 年,中国出口额继续位居世界各国之首。尽管 2020 年是充满挑战的一年,但中国的出口额仍达到近 2.6 万亿美元,与 2019 年相比增长了 4%。中国在高科技产品出口方面也占据领先地位--其出口额为 7319 亿美元,占全球出口额的 25%。与此同时,2000 年至 2020 年期间,中国的出口动态呈现出结构不稳定的特点。主要发展趋势可分为两个不同特点的阶段:2000 年至 2008 年和 2009 年至 2020 年。在此基础上,作者得出结论:要描述 2000 年至 2008 年期间进出口动态发展的主要趋势,指数模型是最合适的。要描述 2009 年至 2020 年期间进出口动态发展的主要趋势--对数模型。对进出口量变化一致性的研究表明,与 2000 年至 2008 年相比,2009 年至 2020 年期间中国主要外贸流量的一致性更高。在进出口动态结构变化前,覆盖率从 105.7%变化到 127.6%;在结构变化后,覆盖率从 108.9%变化到 135.4%。在 2000 年至 2008 年期间,中国出口的动态对中国 GDP 的动态没有显著的统计影响。从 2009 年到 2020 年,在中国对外贸易主要指标动态性质发生结构性变化后,出口变化开始对 GDP 动态产生统计意义上的显著影响。现在,中国出口每增加 1%,GDP 就会增加 0.25%。本文的实际意义在于,以中国为例,研究了进出口动态结构变化的分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Changes in the Dynamics of China’s Exports and Imports
The economic policy pursued has turned China into a major trading power. In terms of GDP, the Chinese economy has been the first economy in the world for a number of recent years; China’s rapidly growing trade flows have made it the largest trading partner for many countries. Over the past twenty years there has been rapid growth in exports and imports. The article puts forward a hypothesis about the presence of structural instability in the dynamics of Chinese exports for the period from 2000 to 2020. The hypothesis was confirmed and two periods were identified in the dynamics of exports and imports with different natures of the main development trend: from 2000 to 2008 and from 2009 to 2020. For each stage, trend equations were selected that describe the dynamics of exports and imports and an interval forecast of indexes for 2021 was made. Materials and methods. During the work, dynamic, structural analysis of analytical and statistical information was used; methods of analytical, logical, systemic, correlation and regression analysis were used, as well as analysis of structural changes. The analysis was carried out using the Statistica 10.0 program.Results. A change in the value of the import coverage ratio by exports was revealed before and after structural changes in the dynamics of the main foreign economic indexes and an assessment of their statistical significance was given. An analysis of the influence of export dynamics on GDP dynamics was carried out and it was found that before structural changes, the influence of export dynamics on GDP dynamics was statistically insignificant, and after a structural change, export dynamics began to have a direct impact on changes in China’s GDP. Conclusion. Analysis of official statistical data on the main indexes of China’s foreign economic activity for the period from 2000 to 2020 allowed us to note that the volume of Chinese exports increased over the period 2010-2019 from $1.58 trillion in 2010 (10.34% of global exports), to $2.50 trillion in 2019 (12.81% of global exports). In 2019, China continued to rank first in terms of export value among all countries in the world. Despite the challenging year of 2020, China’s exports reached almost 2.6 trillion US dollars and increased by 4% compared to 2019.China also occupies a leading position in the export of high-tech goods - their volume is 731.9 billion US dollars, the share of exports in the global volume is 25%. At the same time, the dynamics of Chinese exports for the period from 2000 to 2020 was heterogeneous and characterized by structural instability. Two stages can be distinguished with different characteristics of the main development trend: from 2000 to 2008 and from 2009 to 2020. Based on this, the authors came to the conclusion that to describe the main trend in the development of export and import dynamics for the period from 2000 to 2008, the exponential model is best suited. To describe the main trend in the development of export and import dynamics in the period from 2009 to 2020 - logarithmic model. A study of the consistency of changes in export and import volumes showed that in the period from 2009 to 2020 was characterized by greater consistency in China’s main foreign trade flows than the period from 2000 to 2008. In the period before the structural change in the dynamics of exports and imports, the coverage ratio varied from 105.7% to 127.6%; in the period after the structural change, the coverage ratio changed from 108.9% to 135.4%.Checking the statistical significance of the differences in the coefficient of coverage of imports by exports before and after the structural change showed that the differences are not statistically significant. In the period from 2000 to 2008 the dynamics of China’s exports did not have a statistically significant impact on the dynamics of the country’s GDP. From 2009 to 2020 after structural changes in the nature of the dynamics of the main indexes of China’s foreign trade, changes in exports began to have a statistically significant impact on the dynamics of GDP. A 1% increase in China’s exports now results in a 0.25% increase in GDP.The practical significance of the paper is determined by the developed methodology for analyzing structural changes in the dynamics of exports and imports, examined using the example of China.
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