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Memory of the distinguished economist today Simon Kuznets

Moskovkin V.M. Doctor of Science in Geography, professor in the Department of World Economy, Belgorod State University ( moskovkin@bsu.edu.ru )

Journal: Regional Economics: Theory and Practice, #42, 2011

The article describes the results of historical and archival research on the early period of life of the Nobel Prize in Economics Simon Kuznets eve of its 110-year anniversary. New data on his training and life in Kharkov, which was identified in correspondence with relatives of S. Kuznets.


Analysis Methods and Tools of Transnational Cooperation

Moskovkin V.M. Doctor of Geography, Professor, Belgorod State University ( moskovkin@bsu.edu.ru )

Journal: Regional Economics: Theory and Practice, #3, 2009

The work describes, in more or less detail, the analysis methods and tools for transnational cooperations. The most attention is paid to the on-line web-portal project with a strong methodological and analytical basis for transnational cooperation, web-metric evaluation of the transnational European regions and planning the creation of new transnational cooperations along the Russian borders, based on cartographic approach.


Information-analytical systems for support of functioning of industrial complexes : on example mining, metallurgical and machine-building industries belgorod and kharkiv areas

Moskovkin V.M. Doctor of Geography, Professor, Belgorod State University ( moskovkin@bsu.edu.ru )

Segedin V.N. the post-graduate student of chair «World economic», Belgorod state university ( vseg@list.ru )

Journal: Regional Economics: Theory and Practice, #10, 2010

On the basis of online databases held certification of mining, metallurgy and machine-building enterprises of Belgorod and Kharkov regions and compiled two rosters of these companies. On their basis we construct the distributions of enterprises by aggregated kind of production, which in turn allowed to build two electronic giperlinks matrix for the abovementioned areas (with links to profiles of companies). They can be used for informational and analytical support to the functioning of metallurgy and machine-building complexes in the Belgorod and Kharkov regions.


The use of benchmarking methods for analysis of tourism industry of the Russian Federation

Moskovkin V.M. Doctor of Economics, Professor of department "World Economy", the Belgorod State University ( moskovkin@bsu.edu.ru )

Malay I.N. Graduate Student of department"Management of Organization", the Belgorod State University ( enforcer@newmail.ru )

Journal: Regional Economics: Theory and Practice, #3, 2013

In the article it is noted that the tourist industry in the Russian Federation develops increasing rates, serving more and more citizens of our country and foreigners. In this context development of new methods of studying of dynamics of development of domestic tourism, forecasting of its further development, and also creation of new strategy on improvement of competitiveness of the Russian tourist's industry is becoming increasingly. The benchmarking is used for a long time for the solution of similar tasks in other branches of a national economy as the reliable tool checked by time that allows to apply the benchmarking methods in tourism.


Formalized descriptions of transport and energetic transboundary communications and territorial forms (an example Belarusian-Russian-Ukrainian border)

Moskovkin V.M. Doctor of Geography, Professor, Belgorod State University ( moskovkin@bsu.edu.ru )

Segedin V.N. the post-graduate student of chair «World economic», Belgorod state university ( vseg@list.ru )

Savchenko I.I. the senior teacher of chair of the international economic relations, Kharkov national university of a name of V.N.Karazin

Journal: Regional Economics: Theory and Practice, #5, 2010

We propose three interrelated formalized procedures for tasks of cross-border analysis of transport and energetic infrastructure and subordinate cross-border regions, and also for the design of cross-border territorial forms (Euroregions), which consist of charting and assessing the length of their border areas, the calculation of the total density of cross-border transport and energetic communication for allied border areas, and calculate the dimensions of cross-border conjugative areas in comparison to the total density of their transport and energetic communications. We show the possibility of using these procedures in the planning of cross-border territorial forms.


On the problem of clustering binary matrices: The spatial economic analysis case

Moskovkin V.M. Belgorod State University, Belgorod, Russian Federation ( moskovkin@bsu.edu.ru )

Kazimiru E. Belgorod State University, Belgorod, Russian Federation ( 618915@bsu.edu.ru )

Journal: Economic Analysis: Theory and Practice, #5, 2018

Importance The article addresses binarization and clusterization of arbitrary objects' state matrices on the case of export competitiveness indicators in the ‘Fresh food’ sector of sub-Saharan African countries.
Objectives The purpose of the study is to develop a methodology of matrix clustering and to test it by solving the problem of spatial economic analysis.
Methods The article presents a methodology for matrix clusterization of objects that involves creating objects' state matrix, multi-criteria threshold binarization of state matrix and clustering the resulting binary matrix into sub-matrices with different density of zero or single elements.
Results The developed matrix clustering methodology was tested on export competitiveness indicators in the ‘Fresh food’ sector of sub-Saharan African countries.
Conclusions The developed matrix clustering methodology tested on export competitiveness indicators in the ‘Fresh food’ sector of sub-Saharan African countries shows that most of these countries are found in the second cluster (the number of zero elements in binary matrix ranges from 25 to 50%) and the third cluster (the number of zero elements in binary matrix ranges from 50 to 75%). The competitiveness of the ‘Fresh food’ sector grew from the fourth cluster to the first one. It is shown that binary matrix clustering is rather resistant to changes in threshold criteria in the initial state matrix.


Typologization of regions according to the degree of investment attraction and activity: the RF Central-Federal-District regions case study

Moskovkin V.M. Belgorod National Research University, Belgorod, Russian Federation ( moskovkin@bsu.edu.ru )

Munoz L.-F. b Belgorod National Research University, Belgorod, Russian Federation ( sales@imexsaflowers.com )

Journal: Regional Economics: Theory and Practice, #46, 2015

Importance The article considers the issues of region classification as per a degree of investment attraction and activity.
     Objectives The paper aims to develop methods for classifying and clustering the regions according to the degree of investment attraction and activity, using the regions of the Central Federal District of the Russian Federation as a case study.
     Methods We used the simplest methods of multivariate analysis, including standardization of data, grouping, classifying, etc.
     Results We developed four analytical tools for studying the investment attractiveness and activity of regions: an analysis of time drifts of investment attractiveness of the regions, classification and distribution of regions by levels of investment activity in movements, trend diagnostic chart of investment activity of regions, and a cross-spectrum analysis of the sum of attracted foreign investments per capita with the distribution of regions by clusters of investment attractiveness.
     Conclusions and Relevance We conclude that the potential and focus of regions to move to the more prestigious clusters of investment attractiveness (climate), as well as a cross-spectrum analysis of the sum of attracted foreign investments per capita with the distribution of regions by investment attractiveness of clusters will allow generating a specific investment strategy in these regions. The results of the research can be useful when drawing up profiles of arbitrary regions and developing strategies to attract foreign investment in them. They also will allow identifying groups of regions that are attractive for foreign investors.


Matrix analysis of mutual trade in system of the CIS countries

Ricardo Hidalgo Graduate Student, the Department of World Economy, the Belgorod State National Research University ( ricardoshaki@mail.ru )

Journal: Economic Analysis: Theory and Practice, #28, 2013

Methodology of the matrix analysis of mutual trade in the arbitrary system of the countries, developed at the beginning of the 2000th professor V. M. Moskovkin, it is used for the analysis of this trade in the system of the countries UNASUR. The leading three- and four-dimensional nuclei of bilateral mutual trade were built. These cores consist of the Customs Union and Ukraine.


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