title: Analysis of export and import structures using network methods (on the example of the agricultural market)
metadata.name: dc.contributor.author
metadata.value: Lapinova, Svetlana A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Anikina, Alena I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Osharin, Alexander M.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-03-03T20:05:37Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-03-03T20:05:37Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2020-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Lapinova S. A., Anikina A. I., Osharin A. M. (2020) Analysis of export and import structures using network methods (on the example of the agricultural market). St Petersburg University Journal of Economic Studies, vol. 36, iss. 3, pp. 421–454.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu05.2020.304
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/25129
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Analysis of trade cooperation between countries and identification of the most significant
  market participants is of great importance, both theoretically and empirically. The global
  trading community forms a network of international relations defined by trade contracts in
  various industries. Export-import trade flows are one of the key indicators of the level of
  cooperation among countries and the state of the global economy. The high intensity of such
  contacts across groups of countries suggests the existence of clusters in this market segment,
  consisting of central players — exporters and importers, who often define rules for other participants.
  Understanding the existence and identification of such a center helps to develop an
  optimal international trade strategy. The purpose of this contribution is to identify factors affecting trade flows among different countries. Statistical analysis of the international trade
  relations does not always reveal all the essential aspects of cooperation. This paper combines
  the methods of graph theory and econometric analysis to study the parameters of trade flows
  among countries. The parameters used in the network analysis make it possible to obtain additional
  characteristics of market participants, which help to evaluate their significance in the
  world trade. The paper also identifies some key mathematical and economic characteristics
  of export-import flows connecting destination countries. We have analyzed the directions
  of changes in world trade and established correspondences between metric characteristics of
  graph vertices and parameters of world trade models. The Russian indicators in export/import
  categories and its largest sales agents are estimated. The identification of the key intermediaries
  and importers (centers and authorities) on each of the markets in question has been carried
  out. As an example for this identification the market of agricultural products among the
  world’s largest exporters and importers of the product were used.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Studia Slavica et Balcanica Petropolitana;Volume 36; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: globalization
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: international trade models
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: econometric models
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: export and import models
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: graph theory
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: network analysis
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Analysis of export and import structures using network methods (on the example of the agricultural market)
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 421-454.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/25129/1/421-454.pdf
resources.format: Adobe PDF
resources.size: 1,71 MB