Regions of Ukraine: International and Retail Trade in 2016

E. Kostenko, V. Kostenko, V. Kuznichenko, V. Lapshyn
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Abstract

International trade in Ukraine’s regions during 2016 is analyzed. The taxonomy method is used to carry out a multidimensional analysis of the state of trade in all regions, with the goal of determining their attractiveness with respect to investment and international cooperation. Key indicators were chosen to be: export and import of services, export and import of goods, balance of the trade of services, balance of the trade of goods, and retail trade. Using the standardized matrix of statistical values, provided by Ukraine’s national statistics agency, the level of development of each region was determined, as well as its rating. A comparison of this year’s ratings with those of the previous two years is carried out. Based on the calculated inter-regional distance matrix, calculated in the context of the seven chosen parameters, nonlinear structures of regional connections are constructed. Using them, clusters of regions can be constructed that take into account trade dynamics and other economic activity. The constructed linear and nonlinear connection structure of Ukraine’s regions can become the basis of fruitful cooperation in the area of trade. They can also be used when carrying out mutual investment projects and when regulating the exchange of goods between Ukraine’s regions. The determination of the regions’ ratings and the nonlinear structures of their trade relations can provide valuable information to investors both foreign and domestic.
乌克兰地区:2016年国际和零售贸易
分析了2016年乌克兰地区的国际贸易情况。分类法用于对所有区域的贸易状况进行多维分析,目的是确定它们在投资和国际合作方面的吸引力。重点指标选择为:服务进出口、货物进出口、服务贸易收支、货物贸易收支、零售贸易。利用乌克兰国家统计机构提供的标准化统计值矩阵,确定了每个地区的发展水平及其评级。将今年的评级与前两年的评级进行比较。基于计算得到的区域间距离矩阵,在选取的7个参数下进行计算,构建区域连接的非线性结构。利用它们,可以构建考虑到贸易动态和其他经济活动的区域集群。乌克兰各地区所建立的线性和非线性联系结构可以成为贸易领域富有成效合作的基础。它们也可用于开展相互投资项目和管理乌克兰各地区之间的货物交换。地区评级的确定及其贸易关系的非线性结构可以为国内外投资者提供有价值的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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