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The analysis of export trade between Ukraine and Visegrad countries

Nagyová, Ľudmila

Abstract

The dynamic development of foreign trade is important for the stable economic position. It can be considered as a confirmation of the actual efficiency of the national economy and its ability to be competitive in the global economics. In this paper, we analyze main tendencies of export trade of Ukraine with Visegrad countries and examine whether there is a relationship between the level of GDP and the volume of export activities between these countries. It should be noted that various agreements were concluded between Ukraine and each country of the V4 group regarding economic and trade relations. The main aim of this paper is to evaluate development of export of goods between Ukraine and Visegrad countries between years 2002-2013. The data of State Statistics Service of Ukraine, Eurostat and United Nations Conference on Trade and Development (UNCTAD) were used. The development of export from Ukraine to V4 countries is investigated using the software GRETL and log-log linear model. It is discovered that Ukraine’s export operations are impacted by export to other trade partners and GDP per capita of the country. The strongest positive link to Ukraine export from V4 group is represented by Poland. It is identified that, when the GDP per capita of the concerned country goes up, the export to that country declines. It is also revealed that there is a substantial difference with respect to export of agricultural commodities from Ukraine to the above-mentioned countries. To a significant extent, Ukraine’s export is oriented towards plant products. Ukraine should elaborate a well-defined trade strategy and extend its current export activities with V4 countries. It should be more deeply integrated into the EU’s market for using more efficiently possibilities, which exist in the frame of the signed Ukraine-European Union Association Agreement.

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115 2, XXI, 2018 Ma ke ing and T ade DOI: 10.15240/ ul/001/2018-2-008 In oduc ion The dynamic de elopmen o o eign ade is impo an o he s able economic posi ion o each coun y. I can be conside ed as a con i ma ion o he ac ual e i ciency o he na ional economy and i s abili y o be compe i i e in he global economic sys em. The g ow h o his ade is pa icula ly essen ial o Uk aine, aking in o accoun he c isis si ua ion in he coun y. In his pape , we analyze main endencies o expo ade o Uk aine wi h Viseg ad coun ies (Czech Republic, Hunga y, Poland and Slo ak Republic) and examine whe he he e is a ela ionship be ween he le el o GDP and he olume o expo ac i i ies be ween hese coun ies. I should be no ed ha a ious ag eemen s we e concluded be ween Uk aine and each coun y o he V4 g oup ega ding economic and ade ela ions. These ag eemen s made he business compe i i eness, no only o Uk aine i sel , highe . E en he V4 coun ies bene i om his coope a ion. The p incipal sec o s o economy a e indus y, ag icul u e and he a ea o scien i i c as well as echnical coope a ion. Fu he mo e, all V4 coun ies a e membe s o he Eu opean Union a p esen . Only he Slo ak Republic also belongs o he Eu o a ea (19 membe s in 2017). All V4 coun ies ha e ad an ages coming om being he EU membe s. Abo e all, hey ha e i nancial bene i s, such as using he i nances om majo S uc u al & In es men Funds (each ocused on se e al key p io i y a eas), G an s o Con ac s (Eu opean Commission, 2017a). Mo eo e , Ho ák, P ýmek, P okop and Mišák (2015) highligh he bene i s o Czech households which a e subsidized by he p og am G een P emium om EU. This is a i nancial bene i o households and i has a posi i e impac on en i onmen , oo. In addi ion, Olinski, Szam owski and Lu y (2016) analyze he impac o EU- unds on small and medium-sized en e p ises (SME) in Poland. On he con a y, Voj o ič (2016) poin s ou he use o S uc u al Funds o SMEs in Slo akia. Ne e heless, being pa o a la ge economic o poli ical g oup does no always mean a posi i e economic impac on a pa icula coun y o egion. Zd ažil and Applo á (2016) p esen in hei s udy he dispa i y o bene i s when indi idual V4 egions en e he EU. The i nal GDP indica o pe capi a e l ec ed he ini ial nega i e esul s in he a eas o p oduc i i y and employmen . Tha is he eason why he Uk aine-EU Deep and Comp ehensi e F ee T ade Ag eemen (DCFTA) egula e many aspec s o business coope a ion be ween he coun ies. SMEs in Uk aine e en ha e access o he i nancial suppo o € 200 million om EU g an s hanks o his ag eemen (Eu opean Commission, 2017c). The main pu pose o his pape is o e alua e he de elopmen o Uk aine expo o membe s a es o Viseg ad g oup depending on he expo s o o he coun ies o V4 and he le el o GDP pe capi a in each indi idual coun y. The basis o his esea ch was he end analysis o he da a ob ained om he S a e S a is ics Se ice o Uk aine, Eu os a and Uni ed Na ions Con e ence on T ade and De elopmen (UNCTAD), which was hen s a is ically e i i ed and e alua ed. The UNCTAD da a we e e ie ed on July, 2016. 1. Theo e ical Re iew The s a e and challenges o o eign ade a e conside ed in a numbe o publica ions. Main endencies and pe spec i es o expo and impo ac i i ies o Uk aine a e ou lined, o ins ance, in Deineko e al. (2015), Didko skaya (2013), Kukha ska (2016), Lomeiko (2015), Mud ak (2014), and Sy anenko and To opko (2015). Some au ho s use speci i c me hods and THE ANALYSIS OF EXPORT TRADE BETWEEN UKRAINE AND VISEGRAD COUNTRIES Ľudmila Nagyo á, Monika Ho áko á, Se hiy Mo oz, Elena Ho ská, Zuzana Poláko á EM_2_2018.indd 115EM_2_2018.indd 115 22.6.2018 9:17:2422.6.2018 9:17:24 116 2018, XXI, 2 Ma ke ing a obchod app oaches o analyze coun y’s in e na ional ade. Bodna (2014) elabo a es econome ic models which desc ibe he s a e o o eign goods ade o Uk aine, in gene al, and wi h CIS, Eu opean and Asian coun ies sepa a ely, aking in o conside a ion hei seasonal and end componen s. Also, he p esen s o ecas ed indices o Uk aine’s ex e nal ade in he ame o hese models. Rane a e al. (2015) in es iga e Uk ainian expo by means o g a i y equa ion o iden i y impac o economic diplomacy and o he ac o s on expo l ows. A posi i e ela ionship be ween Uk ainian expo and he numbe o employees o diploma ic missions and o egional ade ag eemen s is iden i i ed. Shumska (2014) esea ches he exchange a e elas ici y o me chandise expo s and impo s o Uk aine. She e alua es he sensi i i y olume o o eign ade l ows o change a e in econome ic models (one- ac o and mul i-linea eg ession equa ions) wi h he usage o pa ial indices o eal e ec i e exchange a e. The e is he lack o publica ions ega ding expo ac i i ies be ween Uk aine and V4 coun ies. Wi h espec o o eign ade o Viseg ad coun ies, se e al publica ions could be men ioned. Bielik e al. (2013) conside changes in ag a ian ade o he Czech Republic and Slo akia in 1994-2010, cha ac e izing compa a i e ad an age o ag icul u al expo s. The modi i ed Balassa’s RCA indexes and he La ay index a e applied in his a icle. Łapińska (2014) examines peculia i ies o in a-indus y ade be ween Poland and i s EU ading pa ne s. To measu e he in ensi y o his ade, he G ubel-Lloyd index is employed. An econome ic model is used o he analysis o he ac o s de e mining ag icul u al and ood ade o Poland wi h o he EU coun ies. Misz al (2013) analyzes in e na ional ade and business cycle synch oniza ion in Poland and he Eu opean Union. The esea che conside s he in ensi y and s uc u e o in e na ional ade and hei impac on business cycle, p esen ing a e iew o he li e a u e on mac oeconomics and in e na ional i nance, as well as econome ic models (such as he ec o au o eg ession model). Mul i- eg ession models (including in combina ion wi h o he s a is ical me hods) a e also widely used in o he economic s udies. Fo ins ance, Aabo e al. (2016) apply mul iple eg ession analysis o iden i y he impac o mul ina ionali y on he alue- ele ance o i ms’ eal op ions. Based on his app oach, hey show ha he ela ionship be ween s ock e u ns and changes in e u n ola ili y is subs an ially connec ed wi h i m’s o eign in ol emen . Aulo á and Hla sa (2013) s udy he capi al s uc u e o ag icul u al businesses and he e ec o selec ed de e minan s on his s uc u e. The analysis o hese de e minan s is ca ied ou by way o mul iple linea eg ession. Ro ný (2016) examines he posi ion o young a me s and app op ia e demog aphic and economic changes in he ag icul u al sec o o he Eu opean Union. Employing he mul iple eg ession app oach, he i nds ou he di e ences and ela ionships be ween he g oups o a me s unde he age o 35 and abo e he age o 55. Ub ežio á e al. (2011) explo e he posi ion o ag i- ood companies and mos expo ed ag i- ood commodi ies in SR in he Eu opean compe i i e en i onmen . Ba es and San e e (2015) analyze he demand o municipal in as uc u e p ojec s and ac o s which in l uence he capi al decision- making p ocess a he local go e nmen le el. The esea che s use he mul i- eg ession me hod o ha e a de ailed unde s anding o he capi al-in es men decision o local communi ies. Bly h and Kaka (2006) c ea e a mul iple linea eg ession model o o ecas he p og am o wo ks o cons uc ion companies and o p oduce S-cu es. Recei ed esul s con i m he e ec i eness o he p oposed model. Bohne e al. (2016) explo e claims in l a ion wi h ocus on au omobile liabili y insu ance. The d i e s o claims in l a ion isk and i s impac on ese ing a e de e mined on he g ound o s epwise mul iple eg ession analysis. Kubico á and Kádeko á (2012) analyze e enue impac on he demand o Slo ak households o ood p oduc s. Be ezan e al. (2013) examine he in l uence o sus ainable ho el p ac ices on he sa is ac ion and in en ion o e u n o ho el gues s om di e en na ionali ies. Based on mul iple eg ession and mul inomial logis ic eg ession, i is con i med he exis ence o a posi i e ela ionship o hese p ac ices on gues s’ sa is ac ion le els and e u n in en ions. Ci e Cos a (2013) iden i i es main ac o s impac ing p ice o ma ion and ma ke segmen a ion in seaside accommoda ions. The esea che conside s angible cha ac e is ics o each es ablishmen , which a e used as EM_2_2018.indd 116EM_2_2018.indd 116 22.6.2018 9:17:2522.6.2018 9:17:25 117 2, XXI, 2018 Ma ke ing and T ade explana o y a iables o p ice, on he basis o a mul iple eg ession model. Domingues e al. (2016) elabo a e he In eg a ed Managemen Sys ems Ma u i y Model, which gi es a possibili y o compa e in eg a ed managemen sys ems conce ning hei ela i e s age o e olu ion. The esea che s in es iga e he s a is ical-based componen o he model, paying a en ion o he ela ionships be ween h ee independen a iables and mul i- eg ession model and o he a iables. Dø ing and Ma ín-Rubio (2013) s udy he impac o eam managemen on eam-lea ning ac i i ies. On he basis o mul i- eg ession analysis, hey disco e ed ha he leade ship beha io o he eam leade is impo an in e ms o acili a ion o eam lea ning. Applying mul iple linea eg ession and bina y logis ic eg ession, Pollack and Adle (2016) i nd ou ha p ojec managemen and IT skills ha e a signi i can posi i e in l uence on p o i abili y and o al sales o small o medium en e p ises. Spillecke and B e el (2013) use he mul i- eg ession app oach o de e mine he impac o sales managemen con ols on he en ep eneu ial o ien a ion o he sales depa men (SEO). The esul s show ha SEO is an impo an le e o inc ease pe o mance. Picke nell e al. (2016) iden i y de e minan s o expo ing ac i i ies o SME. Based on a bina y logis ic mul iple eg ession app oach, hey disco e ed ha SME expo ope a ions a e subs an ially in l uenced by he indus y sec o , age and he cha ac e is ics o he SME owne - manage and he i ms’ a ailable esou ces. Sluisa and De Gio anni (2016) esea ch he e ec o he iden i i ed key d i e s o i ms (supply chain coo dina ion con ac s, pe o mance, supply chain o ien a ion, and supply chain in eg a ion) on hei likelihood o adop ing a supply chain coo dina ion con ac . Mul iple and mul inomial logis ic eg essions a e applied o es ima e he ela ionships be ween hese a iables. Se wa (2013) conside s he speci i c ea u es o he ma ke in e ms o lending o households. The esea che employs he mul i- egime eg ession model ela ed o di e en economic s a es o he c edi ma ke (i.e. a no mal egime o a boom egime) o iden i y he c edi ma ke al e na es be ween egimes. Zhao e al. (2016) conside he use mul i eg ession dynamic models in he i nancial sec o and ela ed business a eas, aimed a he imp o emen o o ecas ing and decision analysis. The esea ch esul s con i m ha such goal is achie able, and hese models a e l exible and e i cien , ha ing a a ie y o p ac ical u ili y unc ions. 2. In e na ional Posi ion o Uk aine and V4 G oup E en hough Uk aine belongs o one o he la ges coun ies si ua ed in Eu ope, i is no he EU membe on he con a y o he coun ies o V4 g oup. S ill, Uk aine made he ollowing ag eemen s enabling coope a ion wi h he V4 coun ies:  wi h he Czech Republic: T ea y on F iendly Rela ions and Coope a ion be ween Uk aine and he Czech Republic, Ag eemen be ween he Go e nmen o Uk aine and he Go e nmen o he Czech Republic on Economic, Indus ial, Scien i i c and Technical Coope a ion;  wi h Hunga y: T ea y on Basics o Good Neighbo ship and Coope a ion be ween Uk aine and he Republic o Hunga y, Ag eemen be ween he Go e nmen o Uk aine and he Go e nmen o he Republic o Hunga y on Economic Coope a ion;  wi h Poland: T ea y be ween Uk aine and he Republic o Poland on Good Neighbo ship, F iendly Rela ions and Coope a ion, Ag eemen be ween he Go e nmen o Uk aine and he Go e nmen o he Republic o Poland on Economic Coope a ion;  wi h he Slo ak Republic: T ea y on Good Neighbo ship, F iendly Rela ions and Coope a ion be ween Uk aine and he Slo ak Republic, Ag eemen be ween he Go e nmen o Uk aine and he Go e nmen o he Slo ak Republic on Economic, Indus ial and Scien i i c and Technical Coope a ion. The p esen V4 g oup has decla ed a ew common a ge s since i s ounda ion in 1991, on which hei coope a ion wi hin as well as ou side he g oup is based. The a ge s a e as ollows: de elopmen o democ acy and s a e so e eign y, p o ec ion o human igh s, wo king on a mode n ma ke economy, aking pa in Eu opean economic, poli ical, secu i y and legal sys ems. (Viseg adg oup, 1991). All V4 coun ies ha e ound a ious ways o coope a ion in social as well as business a eas wi h Uk aine. EM_2_2018.indd 117EM_2_2018.indd 117 22.6.2018 9:17:2522.6.2018 9:17:25 118 2018, XXI, 2 Ma ke ing a obchod The openness o Uk aine o o eign ade is depic ed by he da a o S a e S a is ics Se ice o Uk aine. A d i ing o ce o Uk aine and i s economy a e household expenses (60%), whe eas he in es men s o m jus 20%. Ve kho od and Pe enko (2014) s a e ha a eason o such low domes ic incen i e can be a ce ain amoun o skep icism ega ding c edi - g an ing o human capi al unde i nancing, which is he sou ce o inno a i e po en ial. A dec ease in e enues caused by his can be ega ded as a ba ie on he economic g ow h. I is an unbalanced dis ibu ion o in es men incen i es ha p e en Uk aine companies om ha ing inno a i e po en ial and he e o e, causing a decline in hei e enues. Acco ding o he da a om he S a e S a is ics Se ice o Uk aine (2017), he expo sha e on GDP oscilla es be ween 45-48%, whe eas he impo alues sligh ly exceed and o m app oxima ely 48-52% o GDP. Fo nalska- Sku czyńska (2015) s esses he suppo ing ole o s a e when men ioning expo . E ec i e o ms o suppo ing expo ing companies om go e nmen a e sui able p omo ion p og ams wi h an emphasis on i ms’ p oduc i i y and expo assis ance. The Eu opean Commission (2017b) has shown a da abase abou de elopmen o in e na ional ade be ween EU and Uk aine. Among he main expo ade l ows om Uk aine a e as ollows: base me als and a icles he eo ; ege able p oduc s; mine al p oduc s; machine y and appliances; animal o ege able a s and oils; oods u s; be e ages; obacco; p oduc s o he chemical o allied indus ies. On he con a y, he ollowing p oduc s a e mos ly impo ed: mine al p oduc s; machine y and appliances; p oduc s o he chemical o allied indus ies; plas ics, ubbe and a icles he eo . The highes sha e in expo (34%) as well as in impo (40%) ep esen s he impo ance o a e i o ial link be ween Uk aine and EU as a whole. The second mos impo an link o Uk aine conce ning in e na ional ade is he a ea o Russian Fede a ion. (BusinessIn o.cz, 2016) Doing business wi hin EU has been made possible since 1s June 2016 by DCFTA, which is a pa o Associa ion Ag eemen (AA). The Eu os a indica o s (2017) highligh a small sha e o impo (0.4%) as well as he expo o Uk aine o Eu ozone coun ies (whe e only Slo akia is he membe om he V4). Fig. 1: Main ade pa ne s o V4 coun ies Sou ce: Wi old Gadomski (2016-10-28). The Viseg ad G oup coun ies a e close poli ically han economically. Re ie- ed om h p://www. i nancialobse e .eu/poland/ he- iseg ad-g oup-coun ies-a e-close -poli ically- han-economically/. EM_2_2018.indd 118EM_2_2018.indd 118 22.6.2018 9:17:2522.6.2018 9:17:25 119 2, XXI, 2018 Ma ke ing and T ade Al hough i seems o be an insigni i can sha e om Eu ozone´s pe spec i e, o example, Ge many ep esen s a e y impo an business pa ne o Uk aine. The V4 coun ies a e o he impo an Eu opean pa ne s, and hese a e in he ollowing o de – Poland, Hunga y, Czech Republic and Slo akia. (Eu opean Commission, 2017c; BusinessIn o.cz, 2016) Gadomski (2016) analyzed main expo and impo pa ne s o Viseg ad coun ies o he yea 2015 (see Fig. 1). All he coun ies a e p ima ily dependen on Ge man expo s and impo s. Mo eo e , he e is he ac o dependency o he coun ies among each o he . Fo hese coun ies, doing business wi h Uk aine o ms less han 3% ou o hei o al o eign ade. 3. Da a and Me hodology The inpu da a o he analysis we e explici ly ob ained om he S a e S a is ics Se ice o Uk aine. These we e om he yea s 2002-2013 inclusi e. Among he main es ing a iables, he ollowing ones we e chosen:  he expo om Uk aine, he Czech Republic, Hunga y, Poland and Slo akia among each o he ;  he GDP pe capi a in Uk aine, he Czech Republic, Hunga y, Poland and Slo akia. Nomina ed a iables we e selec ed because bo h GDP and expo a e closely ela ed and he au ho s we e in e es ed in he ex en o which hese a iables a ec expo o V4 coun ies. The da a ob ained om he ime line we e hen used o he pu pose o a mo e de ailed end analysis using he s a is ical so wa e G e l. To unde s and he mechanism and causes o he de elopmen ends in examined economic, social o biological p ocesses assumes he need o handle some p ocedu es ha allow o desc ibe he de elopmen cha ac e is ics o some indica o s and hus o unde s and he mechanisms de e mining his de elopmen . The simples concep o modeling eal alues ime se ies y is one-dimensional model in he shape o he one o elemen a y unc ions:  Y  , (1) whe e Y´ is expec ed alue o he indica o a ime . And such ha he di e ence as ollows: y – Y , = ε , (2) called i egula componen s  andom e o s), we e al oge he minimal and included he in l uence o o he ac o s besides ime. The end componen e l ec s long- e m changes in he a e age beha io o he ime se ies e.g. long- e m g ow h and long- e m decline). I a ises om he ac ion o o ces ha sys ema ically ac in he same di ec ion. One o he mos impo an asks o he ime se ies analysis is o cap u e in an app op ia e o m he o e all gene al end in he e olu ion o obse ed indica o (Ob ulo ič, 2010). In end analysis o he pe iod o 2002 o 2013, we used he log-log linea model displayed below in i s gene al o m: logs = b0 + b1logx1 + b2logx2 + + b3logx3 + b4logx4 + b5logx5 + + b6logx6 + b7logx7 + b8logx8. (3) Using his model, we in es iga ed he amoun o expo om Uk aine o he V4 coun ies ( he dependen a iable) while changing he independen a iables ( olume o expo o V4 and GDP pe capi a in Uk aine and V4 coun ies). P ocessing had been pe o med wi h GRETL so wa e applica ion. Ano he me hod we used is mul i- ac o ial analysis o a iance, based on which we in es iga ed he signi i cance o di e ences in expo o ag icul u al commodi y sec ions (li e animals and animal p oduc s, animal and ege able a s and oils and plan p oduc s) be ween he V4 coun ies and olumes o expo be ween he sec ions. So wa e applica ion S a g aphics had been used o he p ocessing. Based on he alues measu ed h ough mul i- ac o analysis o a iance we can examine whe he he ac o a e ages di e a he indi idual le els, which is possible o o mula e in o a symbolic insc ip ion as a null hypo hesis (H0) in he o m: H0 : m   L 21 (4) In null hypo hesis we s a e ha he a e age alues o indi idual ac o le els do no signi i can ly di e . An al e na i e hypo hesis con adic s he null hypo hesis, i.e. a leas one median alue i  is signi i can ly di e en om he o he s. Tes c i e ion is based on Λ EM_2_2018.indd 119EM_2_2018.indd 119 22.6.2018 9:17:2522.6.2018 9:17:25 120 2018, XXI, 2 Ma ke ing a obchod he decomposi ion o o al a iabili y o he a iabili y be ween he classes and wi hin he classes. In case we ejec he null hypo hesis and accep he al e na i e one, we also ha e o i nd ou which ac o le els a e s a is ically signi i can ly di e en , and which we conside o be nea ly iden ical. Analysis o a iance is hen supplemen ed by u he e alua ion, called con as analysis. In his a icle, we used he leas signi i can di e ence es - LSD es . Ob ulo ič (2010) de i ned ha by below ela ionship: 11 .. 2 ijnm ij yy s            (5) 4. Resul s In his pa o he p ojec we deal wi h he analysis o he expo o p oduc s om Uk aine o he V4 coun ies (Czech Republic, Hunga y, Poland, and Slo ak Republic). In asce aining he dependence o expo o goods om Uk aine we used a log-log linea mul iple model whe e he dependen a iable is always expo o he indi idual V4 coun y and independen a iables we e he amoun s o expo o he o he V4 coun ies (in housands USD) and hei GDP pe capi a (in housands USD). 4.1 Expo o Goods om Uk aine o he Czech Republic In he case o expo om Uk aine o he Czech Republic is he pa icula shape o he model as ollows: logs = -0.71logx1 + 1.6logx2 - 3.77logx5 (P- alue: 0.034, 0.023, 0.018). De elopmen o he expo om Uk aine o Czech Republic o he pe iod 2002-2013 is p esen ed in Fig. 2. This i gu e shows a g owing end o expo s om Uk aine o he Czech Republic al eady in 2002. A sha p decline in expo s is displayed o he yea 2009. This decline e l ec s he impac o he economic c isis and a decline in GDP in he Czech Republic. The expo s o he Czech Republic ha e con inued wi h a sligh ly inc easing end since 2010. I s s a is ical analysis is p esen ed in Tab. 1. Fig. 2: De elopmen o expo om Uk aine o he Czech Republic Sou ce: own p ocessing by he so wa e GRETL based on he da a o S a e S a is ics Se ice o Uk aine (h p://www.uk s a .go .ua/ope a i /ope a i 2016/zd/z /z _u/z 0816_u.h m) and UNCTAD (h p://unc ads a .unc ad.o g/wds/TableViewe / ableView.aspx?Repo Id=96) EM_2_2018.indd 120EM_2_2018.indd 120 22.6.2018 9:17:2622.6.2018 9:17:26 121 2, XXI, 2018 Ma ke ing and T ade This model was s a is ically signi i can (R2 = 0.997). The s a is ical signi i cance o he p- alue ( able sign **) was eco ded o he ollowing h ee independen a iables: expo o Hunga y; expo o Poland and GDP Czech Republic pe capi a. The esul da a show an inc ease in expo o he Czech Republic wi h a posi i e line wi h expo o Poland. The inc ease o 1% o expo o Poland caused an inc ease o 1.61%. The e was a nega i e connec ion wi h expo o Hunga y whe e an inc ease o 1% expo o Hunga y mean a dec ease o expo o he Czech Republic o 0.71%. Las signi i can esul was indica ed as dec ease o 3.77% in expo o he Czech Republic wi h an inc ease o 1% o GDP pe capi a in he Czech Republic. 4.2 Expo o Goods om Uk aine o Hunga y De elopmen o he expo om Uk aine o Hunga y o he pe iod 2002-2013 is shown in Fig. 3. This g aph shows a g owing end o expo s o Hunga y o e he epo ing pe iod. A sligh dec ease was eco ded in 2005 and a signi i can dec ease in 2009 as in he case o expo s o he Czech Republic. In he case o expo om Uk aine o Hunga y, he pa icula model o m is as ollows: logs = –1.15logx1 + 2.11logx2 – 4.49logx5 (S a is ically signi i can o h ee independen a iables: x1 = expo o he Czech Republic, x2 = expo o Poland and x5 = GDP/capi a in Czech Republic, P- alue: 0.034, 0.01, 0.048). The esul s show ha 1% inc ease in expo o he Czech Republic causes a dec ease in expo o Hunga y by an a e age o 1.15%. On he con a y, 1% inc ease in expo o Poland shows an a e age inc ease o expo o Hunga y by 2.11%. The inc ease in GDP pe capi a in he Czech Republic by 1% causes a dec ease in expo o Hunga y by an a e age o 4.49%. The alues o wo independen a iables: expo o Poland and GDP Czech Republic Model 1: OLS, using obse a ions 2002-2013 (T=12) Dependen a iable: expo Czech Republic coe i cien s d. a io - a io p- alue cons 0.858 1.514 0.567 0.610 expo Hunga y –0.715 0.193 –3.700 0.034 ** expo Poland 1.614 0.375 4.307 0.023 ** expo Slo akia –0.256 0.569 –0.449 0.684 GDP Uk aine pe cap. –0.694 0.341 –2.033 0.135 GDP Czech Republic pe cap. –3.769 0.802 –4.698 0.018 ** GDP Hunga y pe cap. 2.312 0.976 2.370 0.099 * GDP Poland pe cap. 3.343 1.302 2.568 0.083 * GDP Slo akia pe cap. –0.379 1.179 –0.321 0.769 Mean dependen a 5.637 S.D. dependen a 0.227 Sum squa ed esid 0.0018 S.E. o eg ession 0.025 R-squa ed 0.9968 Adjus ed R–squa ed 0.988 F(8, 3) 116.980 P– alue (F) 0.0012 Log-likelihood 35.739 Akaike c i e ion –53.478 Schwa z c i e ion –49.114 Hannan–Quinn –55.094 ho –0.426 Du bin–Wa son 2.838 Sou ce: own p ocessing by he so wa e GRETL based on he da a o S a e S a is ics Se ice o Uk aine (h p://www.uk s a .go .ua/ope a i /ope a i 2016/zd/z /z _u/z 0816_u.h m) and UNCTAD (h p://unc ads a .unc ad.o g/wds/TableViewe / ableView.aspx?Repo Id=96) Tab. 1: S a is ical analysis o expo de elopmen om Uk aine o he Czech Republic EM_2_2018.indd 121EM_2_2018.indd 121 22.6.2018 9:17:2622.6.2018 9:17:26 122 2018, XXI, 2 Ma ke ing a obchod pe capi a a e copying he posi i e/nega i e de elopmen o p e ious esul s o expo s o he Czech Republic. This model was s a is ically signi i can (R2 = 0.988). The s a is ical analysis o de elopmen o expo o Hunga y is p esen ed in Tab. 2. 4.3 Expo o Goods om Uk aine o Poland De elopmen o he expo om Uk aine o Poland o he pe iod 2002-2013 is p esen ed in he ollowing Fig. 4. The economic c isis o 2009 again in e up ed a g owing end o expo s o Poland. A e y simila g aph was illus a ed in Fig. 2 o expo s o he Czech Republic. When analyzing expo om Uk aine o Poland, he pa icula shape o he model is as ollows: logs = 0.53logx1 + 0.43logx2 + 2.03logx5 - - 1.5logx6 - 2.09logx7 (S a is ically signi i can o i e independen a iables, whe e x1 = expo o he Czech Republic, x2 = expo o Hunga y, x5 = GDP/capi a in he Czech Republic, x6 = GDP/capi a in Hunga y, x7 = GDP/capi a in Poland, P- alue: 0.023, 0.01, 0.049, 0.031, 0.037). The esul s show ha 1% inc ease in expo o he Czech Republic p oduces an inc ease in expo o Poland by an a e age o 0.53%. 1% inc ease in expo o Hunga y would inc ease on a e age he expo o Poland by 0.43%. Inc ease in GDP/capi a in he Czech Republic by 1% causes an inc ease in expo o Poland on a e age by 2.03% while inc ease in GDP/ capi a in Hunga y would cause a educ ion in expo o Poland by an a e age o 1.5%. An inc ease in GDP/capi a in Poland would cause a educ ion in expo o Poland by an a e age o 2.09%. This model is s a is ically signi i can (R2 = 0.999). S a is ical analysis o de elopmen o expo o Poland could be seen in Tab. 3. 4.4 Expo o Goods om Uk aine o he Slo ak Republic De elopmen o he expo om Uk aine o he Slo ak Republic o he pe iod 2002-2013 is p esen ed in Fig. 5. The de elopmen end co esponds o p e ious de elopmen s in Fig. 2 (Expo o he Czech Republic) and Fig. 4 (Expo o Poland). An eno mous decline in expo s o he Slo ak Republic was displayed Fig. 3: De elopmen o expo om Uk aine o Hunga y Sou ce: own p ocessing by he so wa e GRETL based on he da a o S a e S a is ics Se ice o Uk aine (h p://www.uk s a .go .ua/ope a i /ope a i 2016/zd/z /z _u/z 0816_u.h m) and UNCTAD (h p://unc ads a .unc ad.o g/wds/TableViewe / ableView.aspx?Repo Id=96) EM_2_2018.indd 122EM_2_2018.indd 122 22.6.2018 9:17:2622.6.2018 9:17:26 123 2, XXI, 2018 Ma ke ing and T ade o he 2009.The pa icula shape o he model in he analysis o expo om Uk aine o Slo akia is as ollows: logs = -1.94logx8 (S a is ically signi i can o one independen a iable only, whe e x8 = GDP/capi a in Slo akia, P- alue: 0.014). The esul s indica e an inc ease in GDP pe capi a in Slo akia would cause a dec ease in expo o Slo akia by an a e age o 1.94%. The model is s a is ically signi i can (R2 = 0.994). S a is ical analysis o de elopmen o expo o Slo akia is gi en in Tab. 4. Comp ehensi e look a he expo shows he ollowing esul s. Inc ease in expo o p oduc s o he Czech Republic is posi i ely ied o he inc ease in expo o Poland, nega i ely ied wi h an inc ease o GDP pe capi a in he Czech Republic and he inc eased expo o Hunga y. Inc ease in expo o goods o Hunga y is posi i ely linked wi h an inc ease in expo o Poland, nega i ely wi h an inc ease in expo o he Czech Republic and wi h inc ease in GDP pe capi a in he Czech Republic. Inc eased expo o Poland is posi i ely linked wi h an inc ease in expo o he Czech Republic, he inc ease in expo o Hunga y, wi h an inc ease in GDP pe capi a in he Czech Republic and nega i ely ied wi h an inc ease in GDP pe capi a in Hunga y and Poland. G ow h o expo o Slo akia is nega i ely linked only wi h an inc ease in GDP pe capi a in Slo akia. In ou opinion, he exis ence o a nega i e ela ionship be ween he olume o Uk ainian expo and GDP pe capi a in Viseg ad coun ies can be explained ha , in case o he imp o emen o economic si ua ion in he V4 coun ies and he inc ease o income o hei popula ion, a la ge numbe o cus ome s change hei p e e ences and buy mo e expensi e goods manu ac u ed ou side o Uk aine. Gene aliza ion o he esul s o he eg ession analysis is p esen ed in Tab. 5. Model 2: OLS, using obse a ions 2002-2013 (T=12) Dependen a iable: expo Hunga y coe i cien s d. a io - a io p- alue cons 1.838 1.718 1.070 0.363 expo Czech Republic -1.148 0.310 -3.700 0.034 ** expo Poland 2.112 0.366 5.766 0.010 ** expo Slo akia -0.552 0.673 -0.820 0.473 GDP Uk aine pe cap. -0.673 0.542 -1.241 0.303 GDP Czech Republic pe cap. -4.490 1.386 -3.239 0.048 ** GDP Hunga y pe cap. 3.067 1.120 2.738 0.071 * GDP Poland pe cap. 4.147 1.724 2.406 0.095 * GDP Slo akia pe cap. -0.890 1.431 -0.622 0.578 Mean dependen a 5.991 S.D. dependen a 0.151 Sum squa ed esid 0.003 S.E. o eg ession 0.031 R-squa ed 0.988 Adjus ed R-squa ed 0.958 F(8, 3) 32.021 P- alue (F) 0.008 Log-likelihood 32.896 Akaike c i e ion -47.793 Schwa z c i e ion -43.429 Hannan-Quinn -49.409 ho -0.254 Du bin-Wa son 2.495 Sou ce: own p ocessing by he so wa e GRETL based on he da a o S a e S a is ics Se ice o Uk aine (h p://www.uk s a .go .ua/ope a i /ope a i 2016/zd/z /z _u/z 0816_u.h m) and UNCTAD (h p://unc ads a .unc ad.o g/wds/TableViewe / ableView.aspx?Repo Id=96) Tab. 2: S a is ical analysis o expo de elopmen om Uk aine o Hunga y EM_2_2018.indd 123EM_2_2018.indd 123 22.6.2018 9:17:2622.6.2018 9:17:26 130 2018, XXI, 2 Ma ke ing a obchod Lomeiko, Y. 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G ow h Dispa i ies among Regions o he Viseg ad G oup Coun ies: An E idence o Thei Ex en and Na u e. E&M Ekonomie a Managemen , 19(2), 37-54. h ps://dx.doi.o g/10.15240/ ul/001/2016-2-003. Zhao, Z. Y., Xie, M., & Wes , M. (2016). Dynamic Dependence Ne wo ks: Financial Time Se ies Fo ecas ing and Po olio Decisions. Applied S ochas ic Models in Business and Indus y, 32(3), 311-332. h ps:// dx.doi.o g/10.1002/asmb.2165. EM_2_2018.indd 130EM_2_2018.indd 130 22.6.2018 9:17:2822.6.2018 9:17:28 131 2, XXI, 2018 Ma ke ing and T ade p o . Ing. Ľudmila Nagyo á, Ph.D. Slo ak Uni e si y o Ag icul u e in Ni a Facul y o Economics and Managemen Depa men o Ma ke ing and T ade Slo akia [email p o ec ed] Ing. Monika Ho áko á, Ph.D. Tomas Ba a Uni e si y in Zlín Facul y o Managemen and Economics Depa men o Economics Czech Republic [email p o ec ed] doc. Ing. Se hiy Mo oz, Ph.D. Slo ak Uni e si y o Ag icul u e in Ni a Facul y o Economics and Managemen Depa men o Ma ke ing and T ade Slo akia [email p o ec ed] p o . D . Ing. Elena Ho ská Slo ak Uni e si y o Ag icul u e in Ni a Facul y o Economics and Managemen Depa men o Ma ke ing and T ade Slo akia [email p o ec ed] doc. Ing. Zuzana Poláko á, Ph.D. Slo ak Uni e si y o Ag icul u e in Ni a Facul y o Economics and Managemen Depa men o S a is ics and Ope a ions Resea ch Slo akia [email p o ec ed] EM_2_2018.indd 131EM_2_2018.indd 131 22.6.2018 9:17:2822.6.2018 9:17:28 132 2018, XXI, 2 Ma ke ing a obchod Abs ac THE ANALYSIS OF EXPORT TRADE BETWEEN UKRAINE AND VISEGRAD COUNTRIES Ľudmila Nagyo á, Monika Ho áko á, Se hiy Mo oz, Elena Ho ská, Zuzana Poláko á The dynamic de elopmen o o eign ade is impo an o he s able economic posi ion. I can be conside ed as a con i ma ion o he ac ual e i ciency o he na ional economy and i s abili y o be compe i i e in he global economics. In his pape , we analyze main endencies o expo ade o Uk aine wi h Viseg ad coun ies and examine whe he he e is a ela ionship be ween he le el o GDP and he olume o expo ac i i ies be ween hese coun ies. I should be no ed ha a ious ag eemen s we e concluded be ween Uk aine and each coun y o he V4 g oup ega ding economic and ade ela ions. The main aim o his pape is o e alua e de elopmen o expo o goods be ween Uk aine and Viseg ad coun ies be ween yea s 2002-2013. The da a o S a e S a is ics Se ice o Uk aine, Eu os a and Uni ed Na ions Con e ence on T ade and De elopmen (UNCTAD) we e used. The de elopmen o expo om Uk aine o V4 coun ies is in es iga ed using he so wa e GRETL and log-log linea model. I is disco e ed ha Uk aine’s expo ope a ions a e impac ed by expo o o he ade pa ne s and GDP pe capi a o he coun y. The s onges posi i e link o Uk aine expo om V4 g oup is ep esen ed by Poland. I is iden i i ed ha , when he GDP pe capi a o he conce ned coun y goes up, he expo o ha coun y declines. I is also e ealed ha he e is a subs an ial di e ence wi h espec o expo o ag icul u al commodi ies om Uk aine o he abo e-men ioned coun ies. To a signi i can ex en , Uk aine’s expo is o ien ed owa ds plan p oduc s. Uk aine should elabo a e a well-de i ned ade s a egy and ex end i s cu en expo ac i i ies wi h V4 coun ies. I should be mo e deeply in eg a ed in o he EU’s ma ke o using mo e e i cien ly possibili ies, which exis in he ame o he signed Uk aine-Eu opean Union Associa ion Ag eemen . Key Wo ds: Expo o goods, ade de elopmen , Uk aine, Viseg ad coun ies. JEL Classi i ca ion: F1. DOI: 10.15240/ ul/001/2018-2-008 EM_2_2018.indd 132EM_2_2018.indd 132 22.6.2018 9:17:2822.6.2018 9:17:28