Pacific B usiness R eview I nternational

A Refereed Monthly International Journal of Management Indexed With THOMSON REUTERS(ESCI)
ISSN: 0974-438X
Imapct factor (SJIF): 6.56
RNI No.:RAJENG/2016/70346
Postal Reg. No.: RJ/UD/29-136/2017-2019
Editorial Board

Prof. B. P. Sharma
(Editor in Chief)

Dr. Khushbu Agarwal
(Editor)

Ms. Asha Galundia
(Circulation Manager)

Editorial Team

Mr. Ramesh Modi

A Refereed Monthly International Journal of Management

The Economic Modeling of International Trade between Ukraine and Free Trade Areas

Violetta O.Petukhova

International Economic Relations Department

V.N. Karazin Kharkiv National University

Gacim Salah

International Economic Relations Department

V.N. Karazin Kharkiv National University

Petr I. Ospishchev

Belgorod State Technological University

(named after V.G. Shukhov)

Svetlana L. Lesovaya

Belgorod State Technological University

(named after V.G. Shukhov)

Marina N. Nesmeyanova

Belgorod State Technological University

(named after V.G. Shukhov)

Abstract

The research subject examined the dynamics of Ukraine international trade with countries which it has created and intends to create the free trade areas. The import, export and trade balance data were taken as the basis in the period from 2004 till 2014. The exports, imports and trade balance are the most important figures in the studying of the international trade. The export is a transportation of goods, works and services, results of intellectual activity, including exclusive rights to them from the customs territory of the abroad countries without the obligation of re-importation. The transportation capacity of goods and services and results of intellectual activity characterizes the indicator "export" that is calculated in terms of cost for a certain period, usually for a year. The import is a transportation of goods, works and services, results of intellectual activity, includes exclusive rights to them, the customs territory of the countries from abroad without the obligation to the re-export. This process describes the indicator "import" that is calculated in terms of cost for a certain period, usually for a year. The trade balance is the difference between cash receipts and costs over time. The forecast was made on the dynamics of international trade basis within the free trade areas framework in the future. If exports (revenues) are bigger than imports (payments), the balance is positive and the trade balance is active. If exports (revenues) are less than imports (payments), the balance is negative and trade balance is passive. The research methodology is economic modeling techniques and such methods like observation and comparison. The research goal is to study the dynamics of international trade within Ukraine free trade areas, the forecast forward for several years, comparing different indicators for years. The ultimate goal is to solve the pertinence one or another free trade area for Ukraine for economic point of view and answering the question can it be profitable for Ukraine. The conclusion of the research is that Ukraine needs to create free trade areas with other countries, as well as other countries, it must integrate into the global economy through globalization worldwide. From our point of, all of the free trade areas are equally important for Ukraine, because they bring revenue to the country through the international trade. The priority for Ukraine is free trade area with the EU. The largest trading partners of Ukraine among the countries the EU members are traditionally Germany, Italy, the Great Britain and Poland, Hungary and Slovakia. By all indicators, despite the recession of trade due to the global financial crisis, such alliances are profitable for Ukraine, because in the future they can become more powerful unions.

Keywords: integration, international trade, free trade area, polynomial trend, forecast, turnover.

Introduction

The analysis of international trade among countries is an important component in the studying international economic relations features among the states. Ukraine has created the free trade areas with other countries. They also contribute to the international economic relations development among these countries and the international trade development in Ukraine and other countries. The free trade areas can become deeper integration groupings over time, what will promote economic development in the regions. Bringing to the notice that now Ukraine has intentions to create a free trade area with the EU, Turkey, Canada, and Israel except already created free trade areas with such countries like the EFTA countries and Montenegro, Macedonia. Now the collaboration the CIS free trade area and Ukraine is suspended. The theme of this article is updated and new because Ukraine intends to deepen international economic and trade relations with these countries in the future by creating new free trade areas. It will also help it expand into new international markets, especially the markets of Asia and North America via trade links with countries with which it intends to create the free trade areas. Ukraine also wants to strengthen international trade relations with countries with whom it already has the free trade areas. The goal of the research in this article is to study the international trade dynamics and further trade forecast Ukraine with the countries which have already established international economic relations within the free trade areas and with countries with whom Ukraine negotiates according to the establishment of such areas.

Materials and Methods

The research methodology is economic modeling. The import, export and trade balance data of Ukraine were taken abovementioned countries from 2004 till 2014 in the analysis of free trade among Ukraine and other countries regression. The Ukraine international trade analysis was made on the basis of these data and polynomial trend in Microsoft Excel program. The regression analysis is a method that makes it possible to determine the form of relations between random variables and values have established distribution law of one variable on changes in another (for example, supply and demand) (Golikov,2009). The action modeling of foreign economic activities by regression analysis means allows to visually demonstrating causal relationships that affect the world economic processes (Golikov, 2009). The polynomial trend is used to describe time series, alternately increasing and decreasing. Polynomial is very good for analysis of a large dataset unstable (e.g. sales of seasonal goods). Polynomial is a stepped function y = +bx+d (second degree polynomial) and y = + +cx+d (third degree polynomial) etc. The degree of the polynomial determines the extremes (peaks) number, i.e. maximum and minimum values for the analyzed period of time (Program for forecasts, 2016). In this research we used polynomial of the second degree. There are other trends that can predict these or other developments in international economic relations, but the most accurate is polynomial trend. There were used methods such as the method of comparison, the method of observation.

1.The economic modeling of international trade forecast among Ukraine and now working free trade areas.

The economic modeling of international trade forecast between Ukraine and the EFTA countries. According to the table during the period from 2004 to 2014, the highest export rate between Ukraine and the EFTA was 607028.2 thousand US dollars in 2009, the smallest was208921.4 thousand US dollars in 2014. The highest rate of imports between Ukraine and the EFTA was 1498633.2 thousand US dollars in 2008; the smallest was 317349.3 thousand US dollars in 2011. The highest rate of trade balance was 48948.28 thousand US dollars in 2005, the smallest was (-1098051.6) thousand US dollars in 2013. As shown by our study, the intensity turnover between Ukraine and the EFTA significantly decreased from 2008 due to the global financial crisis.

Table 1. The indicators of international trade capacity between Ukraine and the EFTA in 2004-2014.

Year Export ( thousand US dol.) Import ( thousand US dol. ) Balance
2004 498362.9 389787.9 -237188.46
2005 444644.4 395696.1 48948.28
2006 199553.9 493432.1 -293878.2
2007 215014.8 708792.5 -493777.7
2008 971064.1 1498633.2 -527569
2009 607028.2 741339.3 -134311.1
2010 556631.9 772386.7 -266220.9
2011 68407.8 317349.3 -248941.6
2012 238526.9 1226589.6 -988062.7
2013 284185.9 1382237.5 -1098051.6
2014 208921.4 1152539.7 -943618.9

Table compiled by the author according to the source (The State Statistics Committee of Ukraine).

The diagram 1 was built on data basis from table 1, where exports, imports and trade balance between Ukraine and the EFTA for five years were forecasted based on regression analysis (polynomial trend) (Golikov,2009). So, according to our calculations, the ratio of exports approximation is R^2=0.0518, import isR^2=0.3204, trade balance isR^2=0.6012. This indicator approximation coefficient confirms that the probability of the forecast in polynomial trend terms is average, i.e. more or less accurate, because in the original datum on basis the forecast was made are relatively sustainable. This suggests that international trade relations between Ukraine and the EFTA have superimpose character. According to the diagram 1, the trade turnover between Ukraine and the EFTA is relatively high. The import substantially is goes before the export, this is a negative tendency for Ukraine. The regression analysis according to the forecast indicates that exports, imports and trade balance of Ukraine and the EFTA has tendency to decrease. According to this forecast in 2019 export may reach about (-1200000) thousand US dollars, import - 90000 thousand US dollars, trade balance –1800000 thousand US dollars.

Diagram 1. The indicators foreign trade capacity between Ukraine and the EFTA in the period from 2004-2014.

The diagram was made by the author according to the source (The State Statistics Committee of Ukraine).

The economic modeling of international trade forecast between Ukraine and Montenegro. According to the table 2 during the period from 2008 to 2014, the highest export rate between Ukraine and Montenegro was in 3866 thousand US dollars in 2010; the smallest export rate was 480.3thousand US dollars in 2009. The highest rate of import between Ukraine and and Montenegro was 2982.2thousand US dollarsin 2012, the smallest was 317349.3 thousand US dollars in 2011. The highest rate of trade balance was (-11035474) thousandin2011, the smallest was (-1098051.6) thousand US dollars in 2013. Our research shows that the intensity turnover between Ukraine Montenegro declined significantly since 2008 due to the global financial crisis, but from 2010the turnover has been increased.

Table 2. The indicators of international trade capacity between Ukraine and Montenegro in 2004-2014.

Year Export ( thousand US dol. ) Import ( thousand US dol. ) Balance
2008 2703.5 997 1706.5
2009 480.3 927.3 -447
2010 3866 2310.7 1555.3
2011 2639 1086.3 1552.7
2012 2639 2982.2 2734.3
2013 1395.5 1131.3 264.2
2014 1796.4 1082.6 713.8

Table compiled by the author according to the source (The State Statistics Committee of Ukraine).

The diagram 2 was built on data basis from table 2, where exports, imports and trade balance between Ukraine and Montenegro for five years were forecasted based on regression analysis (polynomial trend) (Golikov,2009). So, according to our calculations, the ratio of exports approximation is R2= 0.3089, import is R2= -0.0012 (R2=0), trade balance is R2 = 0.0849. This indicator approximation coefficient confirms that the probability of the forecast in polynomial trend terms is low. It has such tendency due to a full free trade area between Ukraine and Montenegro was formed recently and analyzed basic data were very low in relative terms of trade between Ukraine and other free trade areas. According to the diagram 2, the trade turnover between Ukraine and Montenegro is low. Export and import are in almost the same dynamics. The regression analysis according to the schedule indicates that exports, imports and trade balance of Ukraine and Montenegro tend to decrease. According to this forecast in 2019 export may reach about (-1200000) thousand US dollars, import – 90000 thousand US dollars, trade balance – 1800000 thousand US dollars.

Diagram 2. The indicators foreign trade capacity between Ukraine and Montenegro in the period from 2004-2014.

The diagram was made by the author according to the source source (The State Statistics Committee of Ukraine).

The economic modeling of international trade forecast between Ukraine and Macedonia. According to the table 3 during the period from 2004 to 2014, the highest export rate between Ukraine and Macedonia was 84134.5 thousand US dollars in 2008, the smallest was 8095.1 thousand US dollars in 2013. The highest rate import between Ukraine and Macedonia was 147545.3 thousand US dollars in 2011. The smallest was 2371.32 thousand US dollars in 2008. The highest rate of trade balance was 176822.8 in 2008 thousand US dollars, the smallest was (-65733.7) thousand US dollars in 2011. Our research shows that the turnover intensity between Ukraine and Macedonia substantially decreased y from 2008 due to the global financial crisis.

Table 3. The indicators of international trade capacity between Ukraine and Macedonia in 2004-2014.

Year Export ( thousand US dol. ) Import ( thousand US dol. ) Balance
2004 50240.89 2371.32 47869.57
2005 35925.26 2566.11 33359.15
2006 69501.4 4876.3 64625.1
2007 97102.4 8328.9 88773.5
2008 184134.5 7311.7 176822.8
2009 42278.6 31324.1 10954.5
2010 95952.9 26269.7 69683.1
2011 81811.6 147545.3 -65733.7
2012 13033.2 26201.4 -13168.3
2013 8095.1 32666.4 -24571.4
2014 40538.8 21331.4 19207.3

Table compiled by the author according to the source (The State Statistics Committee of Ukraine).

The diagram 3 was built on data basis from table 3, where exports, imports and trade balance between Ukraine and Macedonia for five years based on regression analysis (polynomial trend) (Golikov,2009). Consequently, according to our calculations, the ratio of exports approximation is R2= 0.2391, import is R2= 0.1919, trade balance is = 0.2391. This indicator approximation coefficient confirms that the probability of the forecast in polynomial trend terms is average. It has such tendency due to the original data on which the forecast was made is relatively sustainable. The situation is formed due to international trade relations between Ukraine and Macedonia has relatively well-established character. According to the diagram 3, the trade turnover between Ukraine and Macedonia is low. The import is substantially bigger than export; this is a negative tendency in Ukraine. The regression analysis according to the forecast indicates that exports and trade balance of Ukraine and Macedonia have a tendency to decrease. And an import tends to growth. According to this forecast exports may reach for about (-270000) thousand US dollars in 2019, imports can be (-300000) thousand US dollars, trade balance can be (-9,900) thousand US dollars.

Diagram 3. The indicators foreign trade capacity between Ukraine and Macedonia in from 2004-2014.

2.2.The economic modeling of international trade forecast among Ukraine and now working free trade areas

Currently the negotiations are carrying on according to bilateral free trade agreements between Canada and Ukraine, Turkey, Israel (Ministry of foreign affairs of Ukraine: according to the free trade agreements). Ukraine also intends to create a free trade area with the EU. The work is continuing to determine the economic feasibility of concluding free trade agreements with other important trading partners of Ukraine (Ministry of foreign affairs of Ukraine: according to the free trade agreements). The economic modeling of international trade forecast between Ukraine and Turkey. According to the table 3 during the period from 2004 to 2014, the highest export rate between Ukraine and Turkey was 3805477.8thousand US dollars in 2013, the smallest was 1869198.98 thousand US dollars in 2013. The highest rate import between Ukraine and Turkey was 1951858.2 thousand US dollars in 2012. The smallest was 368358.01 thousand US dollars in 2004. The highest rate of trade balance was 2683158.2in 2008 thousand US dollars, the smallest was1174282.9 thousand US dollars in 2009. As it was shown in our study, the intensity of trade turnover between Ukraine and Turkey significantly decreased since 2008 due to the global financial crisis, but in 2011 the turnover has increased.

Table 4. The indicators of international trade capacity between Ukraine and Turkey in 2004-2014.

Year Export ( thousand US dol. ) Import ( thousand US dol. ) Balance
2004 1869198.98 368358.01 1500841
2005 2034974.78 607697.21 1427277.6
2006 2390039.2 769080.8 1620958.4
2007 3650005 972079.2 2677925.8
2008 4633291.4 1950133.2 2683158.2
2009 2126526.4 952243.6 1174282.9
2010 3026668.7 1298282.2 1728386.4
2011 3748582 1481242.1 2267339.9
2012 3685112.6 1951858.2 1733254.4
2013 3805477.8 1852685 1952792.8
2014 3561436.2 1298157.3 2263278.9

Table compiled by the author according to the source (The State Statistics Committee of Ukraine).

The diagram 4 was built on data basis from table 4, where exports, imports and trade balance between Ukraine and Turkey for five years based on regression analysis (polynomial trend) (Golikov,2009). Consequently, according to our calculations, the ratio of exports approximation is R2= 0.375, import is R2= - 0.574 (R2=0), trade balance is R2=0.664. This indicator approximation coefficient confirms that the probability of the forecast in polynomial trend terms is very low because in the original data on which the forecast was made tend to sharp fluctuations. This suggests that international trade relations between Turkey and Ukraine have established character. According to the figure 4, the trade turnover between Ukraine and Turkey today is low. The export is substantially ahead of imports, this trend is positive for Ukraine. Regression analysis according to the diagram 4 indicates that the export and import trade balance of Ukraine and Turkey tend to decrease. The balance has a tendency to growth. If the free trade area between Turkey and Ukraine work in full and the norms of international economic relations, trade turnover negative trends will eventually level off. According to this forecast exports may reach for about (-5000000) thousand US dollars in 2019, imports can be 900000 thousand US dollars, trade balance (-15000000) thousand US dollars.

Diagram 4. The indicators foreign trade capacity between Ukraine and Turkey in from 2004-2014.

The diagram was made by the author according to the source (The State Statistics Committee of Ukraine).

The economic modeling of international trade forecast between Ukraine and Israel. According to the table 5 during the period from 2004 to 2014, the highest export rate between Ukraine and Israel was 796370.2 thousand US dollars in 2012, the smallest was 281678.1 thousand US dollars in 2004. The highest rate import between Ukraine and Israel was 325633.3thousand US dollars in 2012. The smallest was 62994.27thousand US dollars in 2005. The highest rate of trade balance was in 529579.8thousand US dollars in 2012, the smallest was 192027.8 thousand US dollars in 2006. As it was shown in our study, the intensity of trade turnover between Ukraine and Israel significantly decreased since 2008 due to the global financial crisis, but since 2012 the turnover has increased.

Table 5. The indicators of international trade capacity between Ukraine and Israel in 2004-2014.

Year Export ( thousand US dol. ) Import ( thousand US dol. ) Balance
2004 287586.18 84348.24 203237.94
2005 290738.61 62994.27 227744.34
2006 281678.1 89650.2 192027.8
2007 323922.1 99907.3 224014.8
2008 463026.5 172267.1 290759.5
2009 393597.2 79881.2 313716
2010 467583.9 91476 376107.9
2011 510217 142958 367259
2012 796370.2 266790.4 529579.8
2013 701825.5 323165.9 378659,6
2014 593062.3 325633.3 267429

The diagram was made by the author according to the source (The State Statistics Committee of Ukraine).

The diagram 5 was built on data basis from table 5, where exports, imports and trade balance between Ukraine and Israel for five years based on regression analysis (polynomial trend)(Golikov,2009). Consequently, according to our calculations, the ratio of exports approximation is R2= 0.6559, import is R2= 0.48, trade balance is R2=0.7373. This indicator approximation coefficient confirms that the probability of the forecast in polynomial trend terms is relatively average. This trend is the fact that the original data on which the forecast was made, without large fluctuations. This indicates that trade between Ukraine and Israel has established character. According to the diagram 5, the trade turnover between Ukraine and Israel today is not low. The export is substantially ahead of imports, this trend is positive for Ukraine. Regression analysis according to the diagram 5 indicates that the export, the import and the trade balance of Israel and Ukraine is tending to decrease. Regression analysis according to the diagram 5 indicates that to the exports, imports and trade balance of Ukraine and Israel have a tendency to growth. If the free trade area between Israel and Ukraine work in full and the norms of international economic relations, trade turnover negative trends will eventually level off with time. According to this forecast exports may reach for about 610000 thousand US dollars in 2019, imports can be 590000 thousand US dollars, trade balance (-15000000) thousand US dollars.

The diagram was made by the author according to the source (The State Statistics Committee of Ukraine).

The economic modeling of international trade forecast between Ukraine and Canada. According to the table 6 during the period from 2004 to 2014, the highest export rate between Ukraine and Canada was 144090.4 thousand US dollars in 2008, the smallest was 57441 thousand US dollars in 2013. The highest rate import between Ukraine and Canada was 243072.4 thousand US dollars in 2013. The smallest was 46169.66thousand US dollars in 2004. The highest rate of trade balance was in 36421.15 thousand US dollars in 2004, the smallest was 116146.4thousand US dollars in 2008. As it was shown in our study, the intensity of trade turnover between Ukraine and Canada significantly decreased since 2008 due to the global financial crisis, but since 2011 the turnover has increased.

Table 6. The indicators of international trade capacity between Ukraine and Canada in 2004-2014.

Year Export ( thousand US dol. ) Import ( thousand US dol. ) Balance
2004 82590.81 46169.66 36421.15
2005 90119.3 87015.56 3103.74
2006 122452.1 98720.1 23732
2007 95430.8 132134.2 -36703.4
2008 144090.4 260236.8 -116146.4
2009 61634.4 136186.5 -74552.1
2010 73268.6 160204.9 -86936.2
2011 122596.9 207830 -85233.1
2012 107243.9 193046.7 -85802.8
2013 57441 243072.4 -185631.3
2014 72565.6 191188.4 -118622.8

The diagram was made by the author according to the source (The State Statistics Committee of Ukraine).

The diagram 6was built on data basis from table 6, where exports, imports and trade balance between Ukraine and Canada for five years based on regression analysis (polynomial trend) (Golikov,2009).. Consequently, according to our calculations, the ratio of exports approximation is R2= -0.489 (R2=0), import is R2=0.673, trade balance is R2=0.6855. This indicator approximation coefficient confirms that the probability of the forecast in polynomial trend terms is relatively average. This trend is the fact that the original data on which the forecast was made, without large fluctuations. This indicates that trade between Ukraine and Canada has established character. According to the figure 6, the trade turnover between Ukraine and Canada today is average. The export is substantially ahead of imports, this trend is positive for Ukraine. Regression analysis according to the diagram 6 indicates that the export and import trade balance of Canada and Ukraine tend to increase. Regression analysis according to the diagram 6 indicates that to the exports, imports and trade balance of Ukraine and Canada have a tendency to reduction. If the free trade area between Canada and Ukraine work in full and the norms of international economic relations, some negative tendencies in trade turnover will eventually level off with time. According to this forecast exports may reach for about 1150000 thousand US dollars in 2019, imports can be 590000 thousand US dollars, trade balance 500000 thousand US dollars.

Diagram 6. The indicators foreign trade capacity between Ukraine and Canada from 2004-2014.

The diagram was made by the author according to the source (The State Statistics Committee of Ukraine).

The economic modeling of international trade forecast between Ukraine and the EU. According to the table 7 during the period from 2004 to 2014, the highest export rate between Ukraine and the EU was 17802443 thousand US dollars in 2011, the smallest was 9422196.36thousand US dollars in 2005. The highest rate import between Ukraine and the EU was 28802207.7 thousand US dollars in 2014. The smallest was 9457134.17thousand US dollars in 2004. The highest rate of trade balance was in 2259872.22014 thousand US dollars, the smallest was (-11043729.9) thousand US dollars in 2008. As it was shown in our study, the intensity of trade turnover between Ukraine and the EU significantly decreased since 2008 due to the global financial crisis, but since 2010 the turnover has increased.

Table 7. The indicators of international trade capacity between Ukraine and the EU in 2004-2014.

Year Export ( thousand US dol. ) Import ( thousand US dol. ) Balance
2004 9615554.21 9457134.17 158420.04
2005 9422196.36 12074604.29 -2889255.06
2006 10617858 16495621.8 -2913743.3
2007 12895976.8 21706574.1 -7438749.8
2008 17758477.7 28802207.7 -11043729.9
2009 9507286.7 15393160,2 -5947564.2
2010 12886257.1 19010623 -6158097.6
2011 17802443 25609771.3 -7810087.4
2012 16967449.8 26078239.3 -9169029.7
2013 14482680.3 24784780.3 -10302099.7
2014 14636426.7 14640040.9 2259872.2

Table compiled by the author according to the source (The State Statistics Committee of Ukraine).

The diagram 7 was built on data basis from table 7, where exports, imports and trade balance between Ukraine and the EU for five years based on regression analysis (polynomial trend)(Golikov,2009). Consequently, according to our calculations, the ratio of exports approximation is R2 = 0.5188, import is R2 = 0.062, trade balance is R2 = 0.4429. This indicator approximation coefficient confirms that the probability of the forecast in polynomial trend terms is relatively average. This trend is the fact that the original data on which the forecast was made, with fluctuations in 2014. This indicates that trade between Ukraine and the EU has established character, but there was large decrease of rates in 2014. According to the figure 7, the trade turnover between Ukraine and the EU today is more prone to high. The import is substantially ahead of export, this trend is negative for Ukraine. Regression analysis according to the diagram 7 indicates that the export and import of the EU and Ukraine tend to decrease. Regression analysis according to the diagram 7 indicates that to the export, the import of Ukraine and the EU has a tendency to reduction. A trade balance tends to growth. If the free trade area between the EU and Ukraine work in full and the norms of international economic relations, some negative tendencies in trade turnover will eventually level off with time. According to this forecast exports may reach for about 2000000 thousand US dollars in 2019, imports can be (-1100000) thousand US dollars, trade balance 1100000 thousand US dollars.

Diagram 7. The indicators foreign trade capacity between Ukraine and the EU from 2004-2014.

Conclusion

Today these integration associations of the EFTA countries, Montenegro, Macedonia and Ukraine are successful on the one hand, because discrimination on the elimination of barriers between countries in trade shows the effectiveness of the integration processes between countries. But we will note, that according to forecasts, which were compiled using regression analysis (polynomial trend) from 2015 till 2019, we can conclude that in general, this projected trade turnover within these free trade areas has negative trends. According to initial data, on basis which was analyzed international trade in the period from 2004 till2014 among Ukraine and free trade areas, we can conclude that the biggest trade turnover with Ukraine has the EFTA, in second place is the free trade area with Macedonia and third place is a free trade area with Montenegro. We would like to add that according to the polynomial trend the probability of forecasts is average and generally trade is declining. It is difficult to predict exact values of exports, imports and trade balance, because it is not known who will be the future trends in international economic relations between Ukraine and free trade area, the overall economy countries, fluctuations in world demand and more. According to the forecasts presented above we can see that the approximation ratio is the lowest in import. Therefore, the rate of import Ukraine is very difficult to predict. This is a negative tendency for the Ukraine. As shown by our study, the most successful areas of free trade with Ukraine in the future become a free trade area with Israel and the EU by dynamic turnover with Ukraine in the present time. All the above free trade is important and profitable for Ukraine, because such unions contribute to the development and deepening of international economic relations in the future. In our opinion this research is perspective, because the international economic relations between states are not staying at the same platform and in need of a better future and the development of new transformations with new realities of economic relations. International trade also requires special attention from the side of the state, especially to better understand the redistribution of resources and effective public policy in the international economic relations and profit from trade transactions with other countries.

References

Anton Filipenko International Economic Relations – K.: Lybid, 2008. – 401 p.

Arthur Golikov Economic-mathematical modulation world business processes: manual. guidances. –3rd ed. be refurbished and fulfill. – Kharkiv: Knowledge, 2009. – 222 p.

Arthur Golikov, Olena Dovgal and oth. International Economic Relations: Textbook / Ed. A. Golikov, O. Doghal. – Kharkiv: Kharkiv National University Karazin, 2015. – 464 p.

Arthur Golikov, Olena Dovgal and oth. World economy: a textbook / ed. A. Golikov, O. Dovgal, Kharkiv: V.N. Karazin Kharkiv National University, 2015. – 268 p.

A Basic Guide to Exporting: Government Printing Office, 2009. – 254 p.

Francis FukuyamaPolitical Order and Political Decay From the Industrial Revolution to the Globalization of Democracy: Straus and Giroux, 2014. – 672 p.

Jacob L. Mosak General-Equilibrium Theory in International Trade: Principia Press, 1944. – 193 p.

Marco Mongiello International Financial Reporting: BookBoon, 2009. – 53 p.

Mukul Sanwal The World's Search for Sustainable Development A Perspective from the Global South: Cambridge University Press, 2015. – 314 p.

Paul Krugman, Antony J. Venablres Globalization and the inequality of nations: Nber Working paper series, 1995. – 45 p.

Robert A. Mundell International Economics:New York Macmillan, 1968. – 325 p.

Steven M. Suranovic International Trade Theory and Policy: internationalecon.com, 2007.

Vladimir Modrak, Peter Knuth, Jozef Novak-Marcinein Advantages and Risks of RFID in Business Applications.–Volume 4 Issue 1. – International Business Management, 2010. – 28-34 pp.

The State Statistics Committee of Ukraine [electronic resource]: – access: http://www.ukrstat.gov.ua/

Ministry of foreign affairs of Ukraine: according to the free trade agreements[electronic resource]:– access: http://mfa.gov.ua/ua/about-ukraine/economic-cooperation/trade-agreements

Program for forecasts [electronic resource]:– access: http://exponenta.ru/educat/systemat/kapustin/011.asp