Copyright © 2020 The Author(s). Published by VGTU Press This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons. org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Business, Management and Education ISSN 2029-7491 / eISSN 2029-6169 2020 Volume 18 Issue 1: 157–182 https://doi.org/10.3846/bme.2020.11578 *Corresponding author. E-mail: m.petrova@ts.uni-vt.bg ASSESSMENT OF THE DEVELOPMENT OF FOREIGN TRADE IN HIGH-TECH PRODUCTION OF UKRAINE UNDER THE ASSOCIATION WITH THE EU Igor MATYUSHENKO 1, Serhii HLIBKO 2, Mariana Mateeva PETROVA 3*, Maryna Serhiivna PASMOR 4, Maryna LOKTIONOVA 5 1, 4Karazin Kharkiv National University, sq. Svobody 6, 61022 Kharkiv, Ukraine 2Scientific Research Institute of Providing Legal Framework for the Innovative Development of the National Academy of Legal Science of Ukraine, Chernyshevska str. 80, 61002 Kharkiv, Ukraine 3St. Cyril and St. Methodius University of Veliko Tarnovo, 5000 T. Tarnovski 2 str., Veliko Tarnovo, Bulgaria 5Deloitte & Touche LLC, Ukraine Business Center“Prime”, 48, Zhylyanska str. 50A, 01033 Kyiv, Ukraine Received 21 November 2019; accepted 15 April 2020 Abstract. Purpose – the purpose of article should assess the main factors affecting the development of trade in high-tech products of Ukraine in the context of association with the EU and the spread of a new industrial revolution. Research methodology – the scheme of research of trade of high-tech products of Ukraine from the EU on the basis of qualitative and quantitative economic-statistical analysis, analysis of comparative advantages and correlation-regression analysis. Findings – the results of the analysis show that the main factors determining the low presence of Ukraine in the world market of high-tech products are the outdated structure of production, a low level of R&D costs, and a decrease in the innovative activity of Ukrainian enterprises. The article presents the author’s recommendations on improving the effectiveness of foreign trade in high-tech products of Ukraine in the EU market. Research limitations – the absence of a state development strategy for the production of high- tech products does not make it possible to accurately determine indicators of scientific re- search of the potential of Ukraine. Practical implications  – correlation-regression analysis results can be used in the private and state sectors of the economy of Ukraine. Originality/Value – the original combination of schemes and methods allowed us to identify new critical places for export development in the context of the association of Ukraine with the EU. Keywords: high-tech products, export-import, comparative advantages of export, EU-Ukraine association. JEL Classification: C150, F130, F170, O140, O240, O520, O570. http://dx.doi.org/10.1016/S0377-2217(03)00091-2 http://dx.doi.org/10.1016/S0377-2217(03)00091-2 https://doi.org/10.3846/bme.2020.11578 https://orcid.org/0000-0001-9866-9025 https://orcid.org/0000-0003-3398-9276 https://orcid.org/0000-0003-1531-4312 https://orcid.org/0000-0002-3788-5688 https://orcid.org/0000-0002-2413-7533 158 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... Introduction The relevance of the chosen topic of the study is explained by the fact that the development of disruptive production technologies is increasingly determining the future of the world as a whole and the European Union and Ukraine in particular. Given the rather ambiguous state of development of the high-tech industry in Ukraine, the problem arises of assessing the peculiarities of the development of foreign trade in high-tech products in the context of the challenges of the new industrial revolution. Today, society is in the middle of the fourth wave of technological progress: the rise of a new digital industrial technology known as Industry 4.0. Industries 4.0 combining the factors of Smart TEMP (T (technology) – smart technology; E (environment) – smart environment; M (manufacturing) – smart manufacturing; P (products) – smart products), creating new markets and industries that promote productivity growth, increase the competitiveness of individual sectors and national economies. According to forecasts by 2030, world-renowned institutions (OECD, World Bank) and international industry associations can launch a revolution in industrial production only through the introduction, first and foremost, of high-tech industries, called “breakthroughs”, underlining “breakthroughs”. In assessing the impact of regulatory authorities on the foreign trade of high-tech products in Ukraine, scientists note the possibility of using cause-effect relationships between indicators characterizing the market’s business processes and state regulatory tools that can be quantified (Bacho et  al., 2019; Sushchenko & Trunina, 2016; Koval et al., 2019). However, according to the modern classification of the Organization for Economic Co-operation and Development (OECD), high-tech industries include the aero- space industry, the pharmaceutical industry, the production of computers and office equip- ment, information and communications industry and instrumentation (Emerging Trends Report, 2013). This revolution is connected with the problem of levelling and improving the EU’s eco- nomic performance. The dynamics of Europe’s future development will depend on the quality of its science and technological innovation. Together with the US and Japan, the European Union is now a leading player in innovation and research, accounting for 24% of global R&D spending and 32% of patients in 2015 (Rifkin, 2014). As a result, the urgent task is to study the features of the development of foreign trade in high-tech products of Ukraine in the context of association with the EU and the launch of a new industrial revolution (Labunska et al., 2017; Gryshova et al., 2019). 1. Analysis of recent research This problem is the subject of study bya number of reputable organizations: UNIDO (2014), OECD (2015), KPMG (2015), MIT (2013), Wilson Centre (2012). Moreover, many research- ers have studied this problem, who investigated the issues of development of advanced pro- duction technologies and the corresponding structural transformation of exports of leading countries in the conditions of the new industrial revolution. Business, Management and Education, 2020, 18(1): 157–182 159 In the works of scientists Industry 4.0. was studied both in the sectoral and territorial aspects. In terms of Industry 4.0. territorial competitiveness in the EU has a strong regional dimension, which analysis at the national level does not adequately reflect in the EU. Re- gional competitiveness indicators should stimulate discussion of the harmfulness of competi- tiveness gaps in the EU’s national competitiveness and in which extent appropriate regulation can be eliminated (Annoni & Dijkstra, 2013). The advantages of industry-specific innovation development and the provision of financing for innovation in a competitive environment are proved by Pukala (2019). Matt et al. (2020) opeed up the new challenges, opportunities and requirements of Industry 4.0, which have tobe examined specifically for SMEs, thus paving the way for the digital transformation oftraditional SMEs into smart factories. Emerson and Movchan (2016) noted that since April 2013 the EU has almost completely opened own market to duty-free imports from Ukraine. However, the technical requirements for entering the EU market are high and rigid, but they are applied in a professional and fair manner without any (unlike other) geopolitical manipulation (Emerson &Movchan, 2016). Аctually based on technical restructuring requirements Yegorov, Odotyuk and Salihova prove the need to strengthen the personnel and technical components of the research process of high technology development in Ukraine, legislative support for the reproduction of highly qualified personnel and attract specialists to carry out scientific and scientific-technical work (Yegorov et  al., 2016). At the same time, the research proves that the network organization of modern ecosystems allows you to maintain a dominant position with reduced individual costs, and such a network organization can be used to implement research processes in the production of high-tech products (Mussapirov et al., 2019). And for the proper preparation of human resources, it is necessary to use the current state of reforms in education and make greater use of the potential of regional budgets and educational institutions in Ukraine (Pu- kala & Petrova, 2019). Dragan (2012), Rifkin (2014), Ross (2016), and Schwab (2016a) predict the irreversible changes caused by the use of technology from Industry 3.0. and moving to Industry 4.0: 1) internet technologies and renewable energy are merging; 2) robotics and artificial intelligence, cybersecurity, genomics commercialization will be the most important economic future. At the same time, technology will increasingly allow citizens to express their thoughts, coordinate their efforts in a new way, and possibly circumvent state surveillance, or new surveillance technology will give rise to overly powerful public authorities. At the theoretical level, an understanding of the Industrial Revolution is offered on the basis of the combination of convergent NBIC technologies with the key factors of SMART TEMP’s advanced production system. At an empirical level, analysis of forecasts of the de- velopment of scientific, technical and innovative activities of developed countries  – tech- nological leaders and developing countries, has established that photonics, biotechnology, nanotechnology, microtechnology, ICT in production systems, advanced materials, additive manufacturing are the most promising for solving global problems, energy and environmen- tal technology (Matyushenko, 2017). Features of functioning of markets of high technologies and high-tech goods are covered in works of some well-known researchers. Barancheiev and Kleimenov (2001) reveal the 160 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... relationship of creating marketing value chains and enhancing the competitive advantages of a company manufacturing high-tech products. Christensen (2020) says that for success it is important to understand what drives customers to make their choice. Usually, all product changes occur through trial and error: functionality is added, the appearance is modified, and then you can only hope that it works. In fact, innovation can be much more predictable, and much more profitable. Therefore, it is necessary to understand the tasks of customers in order to predict the success of innovations in business. Burnett and Moriarty (1998) focused on the wide range of areas included in market- ing communication and the tools and techniques needed to create an integrated approach. International examples acknowledge that integrated marketing communication exists and is practised throughout a global community. Real-world profiles of young executives describe a variety of jobs, career paths, and views on how to get ahead in marketing communication. Chesbrough (2003) argues that in today’s dynamically changing market, which is becoming increasingly global, one of the key competitive advantages is the company’s ability to cre- atively innovate, bring them to commercial use and make high profits. Breley (2005) explains how to integrate various strategies for entering the market and development strategies into a series of solutions that reflect the interaction of the international marketing environment, technological forces, strengths and weaknesses of the company. Moreover, the study is truly international and written from the point of view of a company competing in international markets, regardless of country of origin. Features of marketing activity and specificity of application of marketing mechanisms in commodity markets of technological innovations are widely covered in the writings of economists such as Shanklin and Ryans (1984), Sti- glitz (2012), Moore et al. (2016) provide an opportunity for researchers to develop working knowledge in the field of data production and interpretation in the context of business and economics, providing practical tools that are necessary for making informed business and economic decisions. Paterson (2010) develops a new, critical approach to global environmental politics and argues that the major power structures of world politics are deeply problematic in ecological terms and that they cannot be easily used to resolve major environmental challenges such as global warming. Instead of simply advocating the construction of new international institu- tions to respond to such challenges, therefore, he argues that the use of new technologies and the construction on their basisof alternative social and political structures in necessary. Ramaswamy et  al. (2017) said that the erosion of US manufacturing isn’t a foregone conclusion. The decade ahead  – with increased demand, new technology, and value chain optimization  – will give the sector a chance to turn around. The United States could take advantage of rising demand and new Industry 4.0 technologies to revitalize its entire manu- facturing sector. The key priorities will be raising productivity in the nation’s supplier base, broadening participation in exports, ramping up a national program, and making the long- term investment needed to upgrade plants and equipment for digital readiness. At the same time, all these studies do not provide a clear methodology for assessing the development of foreign trade in high-tech goods, the nomenclature of which can significantly change under the influence of the key growing technologies of Industry 4.0. https://www.google.com.ua/search?hl=uk&tbo=p&tbm=bks&q=inauthor:%22David+Moore%22 Business, Management and Education, 2020, 18(1): 157–182 161 Kyzym and Matyushenko (2014), Khaustova (2015) – emphasize that Ukraine buys more in EU countries than sells. Over the last 17 years, the negative balance has increased almost tenfold with a sixfold increase in turnover. But in that period of research, scientists have not yet set the task of strengthening the stimulation of the export of high-tech products, mainly ways of integration of Ukrainian manufacturers of existing industries are considered (Kyzym & Matyushenko, 2014). And it is precisely for calculating the priorities of Industry 4.0 that the advantages and disadvantages in shaping the economic policy are determined, for which purpose the methodology for assessing and analyzing the export potential of Ukraine pro- posed by Melnik is used (Melnik, 2008). However, in the conditions of the new industrial revolution, the problem of the devel- opment of foreign trade in high-tech products in Ukraine needs further study, taking into account the association with the EU. The purpose of the investigation is to evaluate the development of trade in high-tech Ukrainian products in the context of association with the EU and the launch of a new in- dustrial revolution. 2. Methodology In the process of researching the export of products of high-tech industries of the EU and Ukraine within the framework of a comprehensive approach, such general scientific methods of cognition as induction and deduction, analysis and synthesis, methods of generalization of theoretical and factual material, by comparison, qualitative and quantitative economic- statistical analysis, as well as comparative analysis are used. To identify prospects for the development of trade in high-tech goods, a mathematical model using correlation-regression analysis was constructed (Cook & Seiford, 2009). Following the developments of the Organization for Economic Cooperation and Devel- opment, in cooperation with Eurostat (2005), a final list of high-tech products produced by high-tech industries was agreed. Thus, based on the Standard International Trade Classifica- tion (United Nations, 2006), the following product groups are appropriate for the high-tech industries, which should be classified as high-tech (subject to the limitation of calculations by the three-digit level of product subgroups and certain simplifications) OECD (2011), Eurostat (n.d.a, n.d.b, n.d.c): – Aerospace industry (792  – aircraft and accessories, spacecraft and launch vehicles, spare parts; 714 – non-electric engines (jet, gas turbines, etc.)); – Pharmaceutical industry (541  – medical and pharmaceutical products other than medicines; 542 – medicines (including veterinary medicines)); – Office equipment industry (751  – Office equipment; 752  – electronic computers for data processing; 759 – parts and accessories (not housing caps, packing box, etc.) for machines 751 and 752)); – Telecommunication equipment industry (761  – TVs; 762  – radios; 763  – Recording and reproducing apparatus, video recording apparatus; 764  – telecommunications equipment, spare parts, accessories to 76); – Instrument making (774 – electromedical and radiological apparatus; 776 – thermion- ic devices, circuits, transistors, cathodes, diodes and the like; 871 – optical instruments 162 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... and apparatus; 872 – Instruments and appliances for medical and veterinary sciences; 873  – meters and counters; 874  – instruments, apparatus for measuring, checking, analyzing and checking). In Figure 1 shows a scheme of research of trade in high-tech products of Ukraine and the EU. To study the main comparative advantages of high-tech trade in Ukraine, it is proposed to use such methodology and to analyse the following indicators (Caves et al., 1982): 1) the ratio of goods exports to GDP or export quota of the country; 100%eQ GDP E = × , (1) where Е – total export of the country for a certain year; GDP – the gross domestic product of the country for the relevant year; 2) the ratio of exports of high-tech goods to the country’s GDP; 100%HQHQ E QE GDP = × , (2) where HQE – total exports of high-tech goods for a certain year; GDP – the gross domestic product of the country for the relevant year; Development of recommendations for increasing the efficiency of trade in high-tech goods of Ukraine Systematisation and analysis of statistical data on export/import by industries of high-tech goods in Ukraine and the EU Identification of the comparative advantage in the industries of high-tech goods of Ukraine Export performance evaluating Import performance evaluating Instrument making Telecommunication equipment industry Office equipment industry Pharmaceutical industry Aerospace industry Construction of the trade model in high-tech goods on the basis of regrassion-correlation analysis of Ukraine Ratio of research costs to GDP Share of researchers in total employment Export quota The ratio of high-tech goods export to GDP Instrument making Telecommunication equipment industry Office equipment industry Pharmaceutical industry Aerospace industry Figure 1. Scheme of research on trade in high-tech products of Ukraine with the European Union (source: own scheme of research) Business, Management and Education, 2020, 18(1): 157–182 163 3) the ratio of the employees number involved in the implementation of scientific re- search and development to the employment of the country’s population: HTSemployees 100% Occupiedpopulationofthecountry × ; (3) 4) the ratio of the research cost to the GDP of the country calculated respectively as: RDexpenses 100% GDPofthecountry × ; (4) 5) the indicator of the relative (comparative) advantage of the country by commodity group is an indicator that reflects the country’s relative superiority in the export of a particular product group, or whether its partners benefit from this advantage: КPіj = ln [(Exij/Imij) / (Exi/Imi)], (5) where KPij is an indicator of the comparative advantage of the i-th country for the j-th com- modity; Exi, Imi – export and import of the second country; Exij, Imij – export and import of j-th goods of the countries. 3. Results of research The World Bank annually generates a country rating on two indicators: (1) a country’s R&D spending on GDP; (2) the ranking of countries by the volume of high-tech exports in the structure of industrial exports of the country (The World Bank, n.d.c). These indicators high- light how much countries are earning on their innovative products and the return on invest- ment in research and innovation. Indices of expenditure on GDP research and high-tech exports of EU and Ukraine for 2005–2015 are given in Appendix, Tables A1, A2. According to the World Bank’s (n.d.a, n.d.b, n.d.c, n.d.d) rating, Sweden (with an average of 3.4% of GDP) spend the most on science and research among EU countries, followed by Finland, Austria, Denmark and Germany, with almost 3%. Countries such as Latvia, Roma- nia and Cyprus have the lowest funding rates (about 0.5% of GDP). The EU average is about 2% of GDP. Malta (~ 30%), Ireland (~ 27%), France (~ 27%), United Kingdom (~ 21%), Germany (~ 17%) have the highest indicators of high-tech exports of all industrial exports of the ana- lyzed countries. The EU average is around 17%. At the same time, Ukraine spends 0.7% of GDP on science (which is much less than in developed countries), and exports of high-tech products account for ~ 6–7% of industrial exports. In 2016, high-tech exports totalled the EU $ 16.3 billion, equivalent to 16.3% of total EU exports for the year. However, the EU has recorded a deficit in high-tech trade as im- ports amounted to about 22 billion euros more than exports (Eurostat). Germany accounts for over a quarter of alligh-tech exports, and three countries  – Germany, the Netherlands and France  – account for more than 50% of all high-tech EU exports. This situation shows that the contribution of individual countries to the export of high technology is absolutely uneven. 164 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... In Figure 2 the structure of exports of high-tech products of EU-28 and Ukraine in 2018is shown. The leading position in the structure of exports of EU countries is made by telecommunication equipment  – 34%, and in Ukraine, these products occupy the second- place  – 19%. In 2018, Ukraine made the largest exports of aerospace products  – 56%, and in the EU structure, these products ranked second among high-tech industries –30%. Office equipment is t lowest in the structure of both Ukrainian and European exports  – only 3% and 4% regardingly. Table  1 shows the structure and volume of export-import of high-tech products of Ukraine in 2018 according to UNcomtrade data. To determine the components of high- tech products, the International Standard Trade Classification (ISTC) was taken as the basis (United Nations Commodity Trade Statistics Database, n.d.; Official site of the State Statistics Service of Ukraine, n.d.). According to the data in the above table, it is worth noting that exports of high-tech goods groups are significantly lower than their imports and their balance in 2018 is –5106,130 mil- 25 37 5.4 7.5 25.1 0 5 10 15 20 25 30 35 40 Ae ro sp ac e Ph ar m ac eu �c al O ffi ce e qu ip m en t Te le co m m un ic a� on eq ui pm en t In st ru m en t m ak in g EU- 28 30 18 4 34 14 0 5 10 15 20 25 30 35 40 Ae ro sp ac e Ph ar m ac eu �c al O ffi ce e qu ip m en t Te le co m m un ic a� on eq ui pm en t In st ru m en t m ak in g UKRAINE Figure 2. Comparison of export structure of high-tech products of EU-28 and Ukraine in 2018 (source: United Nations Commodity Trade Statistics Database, n.d.) Table  1. Volume of export-import of high-tech products of Ukraine in 2018 (source: United Nations Commodity Trade Statistics Database, n.d.) Branch Export,million US$ Imports, million US$ Balance, million US$ Aerospace 361,353 108,865 252,488 Pharmaceutical 218,668 2031,169 –1812,501 Office equipment 44,354 821,664 –777,31 Telecommunication equipment 402,492 1551,141 –1148,649 Instrument making 164,867 1785,025 –1620,158 Total 1191,734 6297,864 –5106,130 Business, Management and Education, 2020, 18(1): 157–182 165 lion US$. If we analyze in detail the structure of export and import of high-tech goods of Ukraine in 2018, it can be noted that only the products of the aerospace industry are char- acterized by a positive balance of $ 252,488 million US$. Thus, Ukraine is today, first and foremost, an importer in the world market of high-tech products, because foreign trade in high-tech goods is characterized by low shares of high-tech goods in total exports and a large negative balance. The main reason for Ukraine’s low presence in the world market for high-tech products and the tendency for its further decline is the outdated structure of production, which in turn is a consequence of the low level of R&D expenditures in Ukraine and the decline in innovation activity of Ukrainian enterprises (The Global Competitiveness Report 2016–2017 (Schwab, 2016b)). Let us evaluate the comparative advantages and export performance indicators of the main industries of high-tech products of Ukraine using the methodological approach out- lined above in terms of: 1) the ratio of goods exports to GDP or the country’s export quota; 2) the ratio of exports of high-tech goods to the country’s GDP; 3) the ratio of the number of employees involved in the implementation of research and development to the employed population of the country; 4) the ratio of research expenditures to the country’s GDP; 5) an indicator of relative advantage or comparative advantage. The calculations used foreign trade indicators for the major high-tech industries of Ukraine in 2011–2015, given in Table 2. 1. The ratio of a country’s export to GDP or an export quota showing the established out- put and exports of certain goods. Indicators in the dynamics of Ukraine’s GDP and Ukraine’s exports (Table 3) were used for the calculations. Figure 3 shows that Ukraine’s export quota does not exceed 52.6% and has an average of 46.5%, which indicates a certain impact of exports on Ukraine’s GDP. Table  2. Dynamics of foreign trade in high-tech goods of Ukraine for 2011–2018, mln. US$. (source: United Nations Commodity Trade Statistics Database, n.d.) Industry Export, mln. US$ Imports, mln. US$ 2011 2012 2013 2014 2015 2016 2017 2018 2011 2012 2013 2014 2015 2016 2017 2018 Aerospace 1103 1857 1364 1155 857 478 437 361 192 231 150 127 89 80 56 108 Pharmaceutical 201 259 270 266 162 188 196 219 2948 3374 3177 2553 1435 1675 1836 2031 Office equipment 57 66 55 43 43 47 50 44 383 431 460 495 416 598 738 822 Telecommunication equipment 573 761 616 511 289 322 354 402 1540 1630 1623 1155 910 1034 1378 1551 Instrument making 307 318 312 251 171 163 173 165 1227 2263 1824 883 609 827 1130 1785 Total 2241 3261 2617 2226 1522 1198 1210 1191 6290 7929 7234 5213 3459 4214 5138 6297 166 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... 2. The ratio of exports of high-tech goods to the GDP of Ukraine. The initial data and calculation results are given in Table 4. Table  4. Output data for calculating the ratio of exports of high-tech goods to the GDP of Ukraine (source: United Nations Commodity Trade Statistics Database, n.d.) Indexes 2011 2012 2013 2014 2015 2016 2017 2018 GDP of Ukraine, billion dollars USA 163,160 175,781 183,310 133,503 91,031 93,356 112,190 130,832 Exports of high-tech products of Ukraine, billion US$ 2,241 3,260 2,618 2,225 1,523 1,198 1,210 1,191 Results of calculat- ing the ratio of export of high-tech products to GDP of Ukraine,% 1.37 1.85 1.43 1.67 1.67 1.28 1.08 0.91 Table 3. Output data for calculating the export quota of Ukraine for 2011–2018 (source: United Nations Commodity Trade Statistics Database, n.d.) Indexes 2011 2012 2013 2014 2015 2016 2017 2018 GDP of Ukraine, billion US$ 163,160 175,781 183,310 133,503 91,031 93,356 112,190 130,832 Exports of Ukraine, billion US$ 81,280 62,254 78,744 64,873 47,880 46,023 53,867 59,149 Population of Ukraine, million people 45,706 45,593 45,489 45,271 45,154 45,005 44,831 44,622 Results of calculation of export quota 49,816 35,415 42,957 48,593 52,598 49,298 48,014 45,210 49.8 35.4 43.0 48.6 52.6 49.3 48.0 45.2 R² = 0.0862 0.0 10.0 20.0 30.0 40.0 50.0 60.0 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 % Figure 3. Dynamics of changes in Ukraine’s export quota (source: United Nations Commodity Trade Statistics Database, n.d.) Business, Management and Education, 2020, 18(1): 157–182 167 Figure 4 shows that the export quota of high-tech products of Ukraine does not exceed 1.85% (in 2012) and has an average of 1.41%, which indicates that the export of high-tech products has little impact on the GDP of Ukraine and requires the introduction of effective measures to expand the export quota high-tech products in the country’s economy. 3. The ratio of the number of employees involved in the implementation of research and development to the employed population of working age. The initial data and the calculation results are given in Table 5. Table  5. Output data for calculating the employees’ number ratio involved in the implementation of research and development to the occupied population. (source: United Nations Commodity Trade Statistics Database, n.d.) Indexes 2011 2012 2013 2014 2015 2016 2017 2018 The number of employees involved in the implementation of research and development, thousand people 175.3 164.3 155.4 136.1 122.5 97.7 94.3 88.1 Employed population of able-bodied age, thousand persons 19231.1 19261.4 19314.2 18073.2 16276.9 16276.9 16156.4 16360.9 Results of the calculation of the ratio of the number of employees involved in innovation activity to the employed population of working age,% 0.91 0.85 0.80 0.75 0.75 0.60 0.58 0.54 1.37 1.85 1.43 1.67 1.67 1.28 1.08 0.91 R² = 0.4786 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 1.80 2.00 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 % Figure 4. Dynamics of changes in the ratio of exports of high-tech goods to the GDP of Ukraine (source: United Nations Commodity Trade Statistics Database, n.d.) 168 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... Figure 5 shows that the number of employees involved in the implementation of research and development decreases every year, as does the overall employment of the population due to the social, political and economic situation in the country. It is also a consequence of the low level of R&D expenditures in Ukraine and the decrease in innovation activity of Ukrainian enterprises. 4. The ratio of research expenditures to the country’s GDP. This indicator indicates the re- turn on investment in research and innovation in the country. The output is given in Table 6. As we can see in Figure 6 expenditure on R&D in Ukraine is on average 0.61% of GDP and tends to decline. As a result of such financial support, science in Ukrainian society plays predominantly cognitive and sociocultural functions, because it is known from the world practice that the possibility of the influence of science on the level of economic development arises if its financing exceeds 0.9% of GDP. 0.91 0.85 0.80 0.75 0.75 0.6 0.58 0.54 R² = 0.9619 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 % Figure 5. Dynamics of the ratio of the number of employees involved in an innovative activity to the employed population of working age (source: own calculations based on Official site of the State Statistics Service of Ukraine, n.d.) Table 6. Output data to calculate the ratio of research costs to the GDP of the country (source: Scientific and innovative activity of Ukraine, n.d., The World Bank, n.d.) Indexes 2011 2012 2013 2014 2015 2016 2017 2018 GDP of Ukraine, billion dollars USA 163.160 175.781 183.310 133.503 91.031 93.356 112.190 130.832 Research expenditures, billion dollars USA 1.204 1.322 1.397 0.868 0.560 0.451 0.503 0.616 Results of the calculation of the ratio of the cost of research to the GDP of the country,% 0.738 0.752 0.762 0.650 0.615 0.483 0.448 0.471 Business, Management and Education, 2020, 18(1): 157–182 169 5. Indicator of the revealed relative (comparative) advantage of Ukraine in high-tech in- dustries. The results of the calculation of the formula for comparative advantage for Ukraine by major high-tech industries of Ukraine in 2011–2015 are given in Table 7. Table 7. The value of the comparative advantage for Ukraine by the main high-tech industries in 2011– 2018 (source: United Nations Commodity Trade Statistics Database, n.d.) 2011 2012 2013 2014 2015 2016 2017 2018 Aerospace 1.87 2.55 2.40 2.28 2.30 1.92 2.20 1.38 Pharmaceutical –2.56 –2.10 –2.27 –2.19 –2.15 –2.06 –2.09 –2.05 Office equipment –1.78 –1.41 –1.92 –2.38 –2.23 –2.41 –2.54 –2.75 Telecommunication equipment –0.86 –0.30 –0.77 –0.75 –1.11 –1.04 –1.21 –1.18 Instrument making –1.26 –1.50 –1.57 –1.19 –1.23 –1.49 –1.73 –2.21 0.74 0.75 0.76 0.65 0.62 0.48 0.45 0.47 R² = 0.8802 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 % Figure 6. Dynamics of the ratio of research expenditures to the country’s GDP (source: own calculations based on Scientific and innovative activity of Ukraine, n.d.) 1.87 2.55 2.40 2.28 2.30 1.92 2.2 1.38 –2.56 –2.10 –2.27 –2.19 –2.15 –2.06 –2.09 –2.05–1.78 –2.38 –2.23 –2.41 –2.54 –2.75 –0.86 –0.30 –0.77 –0.75 –1.11 –1.04 –1.21 –1.18 –1.26 –1.50 –1.57 –1.19 –1.23 –1.49 –1.73 –2.21 –4.00 –3.00 –2.00 –1.00 0.00 1.00 2.00 3.00 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 Aerospace Pharmaceutical Office equipment Telecommunication equipment Instrument making Figure 7. Ukraine’s comparative advantages in major high-tech industries (source: own calculations based on The World bank, n.d.) 170 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... As can be seen from Figure 7, the comparative advantage for the aerospace industry is the highest (2.55 in 2012) but tends to decline. Telecommunication equipment has the second place in terms of the indicator of the revealed relative advantage in the export of high-tech goods of Ukraine (–0.30 in 2012), but as for other industries, this indicator is negative and shows that the comparative advantage in the export of these goods has foreign partners. At the same time, the realized export potential of the aerospace industry is several times higher than the potential of other industries. Only the instrument industry has a tendency to increase comparative advantage, which is associated with significant efforts to reform and increase investment in the industry in recent years. The average comparative advantage figures calculated for five groups of high-tech goods in Ukraine for the period 2011–2018 are shown in Figure 8 and also indicate a significant comparative advantage in the export of aerospace. As shown by the calculations, relatively small comparative competitive advantages in the markets of foreign countries among high-tech products of Ukraine have only aircraft, spacecraft and their parts. However, today the state of the aerospace industry is characterized by the presence of systemic problems associated with adaptation to market conditions, fierce competition in the world market against the background of low demand for a domestic and significant shortage of working capital of enterprises. The purpose of the simulation is to establish and characterize the relationship between the following factors: export quota; the share of high-tech exports in total industrial exports; GDP research and development costs; the share of scientists in the total employment of the population, and the identification of the impact of these indicators on foreign trade in high-tech goods of our country. Based on the table of baseline data for these indicators in the period 2014–2018 (Table  8). A correlation analysis was conducted, the results of which are presented in Table 9. 2.1 –2.2 –2.2 –0.9 –1.5 Aerospace Pharmaceutical Office equipment Telecommunication equipment Instrument making Figure 8. Average values of comparative advantage indicators for Ukraine by major high-tech industries in 2011–2018 (source: own calculations based on Scientific and innovative activity of Ukraine, n.d.) Business, Management and Education, 2020, 18(1): 157–182 171 Table  8. Output data for modelling of foreign trade of high-tech goods of Ukraine in the period of 2014–2018 (source: own calculations based on Scientific and innovative activity of Ukraine, n.d.) Years Export quota, % Export ratio high-tech products to industrial country export, % Ratio of R&D expenditures to GDP of the country, % Ratio of number of scientific and technical staff to the able-bodied population, % Y X1 X2 X3 2014 48.593 7.530 0.650 0.753 2015 52.598 8.524 0.615 0.753 2016 49.298 7.218 0.483 0.600 2017 48.014 6.252 0.448 0.584 2018 45.210 5.406 0.471 0.538 Table  9. Correlation dependence of 4 indicators across Ukraine (source: own calculations based on Scientific and innovative activity of Ukraine, n.d.) Export quota, % (Y) The ratio of exports high-tech products up to industrial exports, % (X1) The ratio of R&D expenditure to GDP, % (X2) The ratio of the number of scientific and technical staff to the able-bodied population, % (X3) Export quota, % (Y) 1.000 The ratio of exportshigh- tech products for industrial exports, % (X1) 0.950 1.000 Ratio of R&D expenditure to GDP, % (X2) 0.564 0.766 1.000 The ratio of the number of scientific and technical staff to the working population, % (X3) 0.746 0.887 0.958 1.000 The close relationship between the indicators and the share of high-tech exports can be explained by the impact of side factors, namely the rate of decline in exports that continues as a result of the political and economic crisis, and the depreciation of the hryvnia (accord- ing to Tables 10–12). As can be seen from the Table  9, the coefficient of the export quota (0.950) and the ra- tio of the number of scientific and technical staff to the working population of the country (0.887) is the largest factor in the ratio of the export of high-tech products to the industrial exports of the country. In addition, a very close direct link is found between the cost of re- search and development and the share of scientists in the total employment of the population (0.958). In other words, the more the state spends its money on R&D and the more scientific and technical staff in the country, the more exports of high-tech products will be in Ukraine. The next step in the analysis is to calculate the regression. Consider the Y factor of the ratio of high-tech exports to industrial exports of the country and see what other coefficients 172 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... Table  10. Characteristics of the tightness of the link between the indicators (source: own calculations based on Scientific and innovative activity of Ukraine, n.d.) Indicators Symbolic correlation value Correlation coefficient value Communication characteristic tightness Export quota, % The ratio of high-tech exports to industrial, % У ↔ Х1 0.950 The connection is very tight Export quota, % Ratio of R & D expenditures, % of GDP У ↔ Х2 0.564 Medium tightness relationship (moderate) Export quota, % The ratio of the number of scientific and technical staff to the able-bodied population, % У ↔ Х3 0.746 Relationship is tight (strong) The ratio of high-tech exports to industrial, % Ratio of R & D expenditures, % of GDP Х1 ↔ Х2 0.766 Relationship is tight (strong) The ratio of high-tech exports to industrial, % The ratio of the number of scientific and technical staff to the able-bodied population, % Х1 ↔ Х3 0.887 The connection is very tight R & D expenditures, % of GDP: The share of scientists in the total employment of the population Х2 ↔ Х3 0.958 The connection is very tight Table 11. Matrix of output data ratio of high-tech exports to industrial exports of the countries under consideration and Ukraine, % (source: United Nations Commodity Trade Statistics Database, n.d.) Years Ukraine Germany Poland Romania EU Y X1 X2 X3 Х4 2013 6.711 17.386 8.850 7.364 17.493 2014 7.530 17.280 10.250 8.387 17.404 2015 8.524 17.893 11.018 9.415 18.009 2016 7.218 18.064 11.037 10.392 18.215 2017 6.252 15.902 10.894 9.823 16.689 Table  12. The results of the factor regression analysis of the high-tech exports share in the industrial sector (source: United Nations Commodity Trade Statistics Database, n.d.) Germany Poland Romania EU R-square 0.497 0.110 0.008 0.471 F 2.963 0.372 0.024 2.670 Significance F 0.184 0.585 0.886 0.201 Coefficient a –5.142 4.032 6.663 –10.250 Standard error, a 7.205 5.289 3.770 10.713 Coefficient b 0.716 0.309 0.064 0.996 Standard error b 0.416 0.506 0.412 0.610 P-value, a 0.527 0.501 0.175 0.409 P-value, b 0.184 0.585 0.886 0.201 Business, Management and Education, 2020, 18(1): 157–182 173 of the considered and how they affect it. In this case, we consider the impact of export quota indicators (X1), the ratio of researchers to the country’s population (X2), and the ratio of R&D expenditures to country’s GDP (X3), and the ratio of high-tech exports to country exports (B). To complete the study, a multivariate regression analysis of the impact of all three factors on the (B) share of high-tech exports in industrial was conducted. In Table 13 presents the results of a multivariate regression analysis of the impact of all three factors on the share of high-tech exports in industrial. Table 13. Results of multivariate regression analysis R-square 0.98010 F 16.41689 The significance of F 0.17902 The coefficient of Y –12.75732 Standard error, Y 5.52315 The coefficient of X1 0.36408 Standard error X1 0.15787 The coefficient of X2 5.99830 Standard error X2 10.59619 The coefficient of X3 –1.86226 Standard error, X3 12.03845 The R-squared value describes the degree of accuracy of the process model description. R-square  –0.98010, or 98.01%. In our case, the degree of approximation is high and it can be concluded that these factors have a significant impact on the level of high-tech exports in Ukraine. Then the regression equation takes the form: Y = –12,75732 + 0,36408X1 + 5,99830X2 – 1,86226X3. (6) Next, we calculate the correlation-regression model and find out the degree of depen- dence of the high-tech export indicator of Ukraine on the same indicator of other countries. We selected Germany, Poland, Romania and the EU as a whole for analysis. Table 13 shows the output matrix of this metric. Table  14 shows the correlation between the ratio of high-tech exports to industrial ex- ports of the countries under consideration and Ukraine. Table 14. Correlation of high-tech ratio indicator exports to the industrialexports of the countries under consideration and Ukraine Ukraine (Y) Germany (X1) Poland (X2) Romania (X3) EU (Х4) (Y) 1.000 (X1) 0.705 1.000 (X2) 0.332 0.010 1.000 (X3) 0.090 0.007 0.931 1.000 (Х4) 0.686 0.978 0.177 0.204 1.000 174 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... The calculations show that a strong direct link is a factor in the share of high-tech ex- ports in industrial exports found between almost all countries, as all countries are important trading partners for each other. However, a moderate inverse relationship exists between the selected countries and Romaniaand a weak inverse between Romania and the EU (0.204). This means that only in the case of reduced exports of high-tech products to other coun- tries will Romania have a chance to increase its share of high-tech exports. The reliability of these calculations is also underlined by the results of the regression analysis was presented in Tables 11–12. 4. Results and recommendations As a result of the analysis of trends in the market for high-tech products, as well as the technological gap between Ukraine and the developed countries of the EU, there is a need to identify priority state actions to support the growth of production of high-tech products in Ukraine. Firstly, it is necessary to increase the share of investments both from the state and from foreign investors in the fixed capital and the share of the expenses for innovations in the total volume of industrial production, increase of scientific and technical potential, includ- ing due to the expansion of state funding of basic science, research. and development as well as education. It is important now to improve the business climate in the country and create favourable conditions for attracting foreign investment. Besides, it is necessary to create an effective system of access to financing, which implies increasing the availability of credit resources for high-tech enterprises by creating special lending programs, improving and updating the legislative and regulatory support of venture funds and crowdfunding platforms. Secondly, it is necessary to solve the problem of the workforce, namely the “drain of minds”. Unfavourable working conditions lead to the migration of skilled workers to other countries in search of a better life and the possibility of self-realization, leaving their own country without developing its potential. Therefore, the state needs to develop incentive mea- sures to retain specialists at home. First and foremost, it should be the creation of a state program to encourage scientists and researchers through the provision of grants and funding for research projects, awards for achievement. Third, the government’s important task is to harmonize national standards in high-tech industries with international standards, simplify the certification process for Ukrainian-made products, and simplify the patenting of intellectual property for start-ups and small and medium-sized enterprises, which are a driving force today development of innovations. Fourth, integration of Ukraine into the world scientific and technical information space is required, which requires deepening of relations between Ukraine and developed countries (in particular, Israel, Canada, China, Korea, USA, Switzerland, Sweden, Japan, etc.) through review and / or signing bilateral agreements on scientific and technical cooperation, as well as facilitating the participation of Ukrainian scientists in international scientific conferences, internships, exchange programs, scientific projects. Most importantly, focus on clearly identi- fying priorities from Ukraine’s involvement in international integration processes within the Business, Management and Education, 2020, 18(1): 157–182 175 EU, which would first and foremost take into account the orientation of Ukraine’s economy by the high-tech vector (Pagliacci, 2014). Table 15 presents the author’s recommendations for improving the efficiency of high-tech trade between Ukraine and the EU, taking into account the results of the analysis carried out during the study. Table 15. The author’s recommendations on the development of high-tech trade between Ukraine and the EU (source: own recommendations) Metric/type of analysis The result of the analysis Recommendations R&D expenditure,% of GDP 0.471 in 2018 GDP below the EU level (2.05%) 1. Increase R&D expenditure (grants, patents, etc.); 2. Financial support and stimulation of development of production and technological clusters. 3. Creation of “technological infrastructure”; 4. Establishment of specialized universities in enterprises (mutual benefit from the implementation of experimental studies). High-tech exports, % in industrial 5.4 in 2018 below EU level (7%) 1. Creation of conglomerates based on domestic industrial giants, granting of privileges; 2. Preferential taxation, low-interest long-term credits for exporters and importers of high-tech goods; 3. Initiation of programs for technology exchange, production experience with further development of real projects, calculation of their profitability, implementation in production. 4. Development of own analogues of foreign technologies; 5. Determining the development of high-technology exports by a strategic national priority. Comparative advantages for groups 2.1 for the aerospace industry 1. To develop export of this high-tech industry in all directions –2.2 for pharmaceutical and office equipment 1. It is necessary to constantly reform and increase capital investment in these sectors, as it is promising for Ukraine and has a tendency to grow. Correlation analysis, ratio of high-tech exports to industrial (X1) Export quota (Y) – The connection is very tight 1. Increasing the volume of all types of production, especially those for which a comparative advantage is found; 2. Diversification of export markets to reduce dependency and minimize the risk of a sharp drop in exports. The ratio of R&D expenditures to GDP (X2) is tight (strong) 1. Increase the cost of research and development (grants, patents, etc.); 2. Financial support and stimulation of development of production and technological clusters. The ratio of the number of scientific and technical staff to the able-bodied population (X3) is very tight 1. Creation of “technological infrastructure”; 2. Establishment of specialized universities in enterprises (mutual benefit from the implementation of experimental studies). 3. Increasing the prestige of the profession of a scientist at the expense of decent wages 176 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... Metric/type of analysis The result of the analysis Recommendations Regression analysis, ratio of high-tech exports to industrial exports (Y) The ratio of researchers to the population of the country (X2) Y = –12.75732 + 5.99830 * X2 1. Increasing the share of scientists in total employment by 1% will lead to an increase in exports of high-tech products by 5.99%, therefore, it is necessary to ensure an increase in the number of scientists through the creation of university-based research centers directly involved in the implementation of production projects. Ratio of R&D expenditure to GDP (X3) Y = –12.75732 – 1.86226 * X3 1. Increase in R&D expenditures by 1% will result in a 1.86% increase in exports of high-tech products, therefore, effective and efficient public funding programs for R&D need to be developed Correlation analysis, Ukraine (Y), variables – EU countries High-tech exports,% in industrial – communication is very close 1. Increasing the competitiveness of Ukrainian goods, starting from state support of exporters by methods approved by international standards, and finishing with the modernization of production; 2. Focus on developing the capacity of such high-tech products as aircraft, aircraft and spacecraft. Only the combined action of the Ukrainian government, domestic producers and aca- demia can bring Ukrainian high-tech products to a high level of competitiveness. 5. Discussion with the other scientists/papersand prospects for further research In his work, Kyzym (2011) examined the problems of assessing the readiness of high-tech clusters in Ukraine to trade their products with EU countries, although he assessed the pos- sibility of forming innovative clusters even before the concept of a new industrial revolution appeared. In her work, Haustova (2015) also assessed the possibility of developing trade in products of innovative clusters of Ukraine on the example of enterprises in the electrical industry working in the Kharkov region. However, she did not consider the prospects for developing trade in high-tech products in association with the EU. Yegorov et al. (2016), and Salihova (2012) examined the impact on the foreign trade of Ukraine of the results of the introduction of high technologies in the Ukrainian economy, and also evaluated the develop- ment indicators of ICT, biotechnology, nanotechnology, new materials and nuclear technolo- gies. Moreover, in the studies of all these authors, there was no comprehensive analysis of comparative advantages in the trade-in high-tech products of Ukraine and the EU as a whole. Fedulova (2011) also used many indicators to assess the prospects for foreign trade in high- tech products, as well as to justify the national priorities of the country’s socio-economic development on an innovative basis, although it determined only the general opportunities for trade in high-tech products of Ukrainian industry without taking into account the fac- tors of the new Industrial Revolution. Duginec (2018) in his work analyzed Ukraine’s place in global value chains, in particular, determined the imperative of transformation of foreign End of Table 15 Business, Management and Education, 2020, 18(1): 157–182 177 trade flows of the Ukrainian economy, substantiated the need for innovative development of the economy as a competitive advantage in global production, and also simulated the country’s participation in global value chains. However, these authors did not have a com- prehensive approach to the development of a methodology for studying Ukraine’s readiness for innovation in association with the EU. Therefore, as the prospect of their research, the authors of this article see an assessment of the possibilities for developing foreign trade in high-tech products of Ukraine and the EU within the framework of the formation of common value chains in an association. Conclusions The results of the assessment of the state of the high-tech sector of Ukraine’s economy in the conditions of the formation of a new industrial revolution and association with the EU allow us to draw the following conclusions: 1. It is revealed that the main trend in the modern world is the transition to a new tech- nological way and convergent technologies, on which the fourth industrial revolution is built. The introduction of advanced technologies in Ukraine is conditioned by the need to increase the competitiveness of domestic producers in foreign and domes- tic markets in the conditions of deep integration of the country, first of all, with the countries of the European Union, and implementation of the Association Agreement between Ukraine and the EU. 2. The reason for Ukraine’s low presence in the world market for high-tech products and the tendency for its further decline is the outdated structure of production, which in turn is a consequence of the low level of R&D expenditures in Ukraine and the de- crease of innovative activity of Ukrainian enterprises. 3. Comparative analysis shows that the largest indicator of comparative advantage among high-tech industries is the aerospace industry  – (2.55 in 2012). For other industries, this indicator is negative and indicates that foreign partners have a comparative ad- vantage in exporting these goods. 4. The regression analysis shows that export quota (0.950) and the ratio of the number of scientific and technical staff to the working population of the country (0.887) are most influenced by high-tech exports of the country. 5. Given that Ukraine has great export potential and competitive technologies, it is nec- essary to focus on clearly identifying priorities from Ukraine’s involvement in inter- national integration processes within the EU, which would first take into account the orientation of the Ukrainian economy’s growth by the high-tech vector. Acknowledgements The authors would like to express his appreciation towards to M.O. Kyzym, Professor, Dr.Sc. of Economics. His knowledge and experience was invaluable during the above work. 178 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... Funding All studies, the results of which are presented in this article, were carried out by the authors on their own at their own expense. 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Expenditures on research activities of EU countries and Ukraine (% of GDP) (source: author’s own elaboration based on The WorldBank) Country Year 2011 2012 2013 2014 2015 2016 2017 Austria 2.67 2.91 2.95 3.08 3.05 3.13 3.16 Belgium 2.16 2.27 2.33 2.39 2.46 2.55 2.59 Bulgaria 0.53 0.60 0.64 0.79 0.96 0.78 0.75 UK 1.66 1.59 1.64 1.66 1.67 1.68 1.66 Greece 0.67 0.70 0.81 0.83 0.96 0.99 1.13 Denmark 2.94 2.98 2.97 2.91 3.05 3.12 3.06 Estonia 2.31 2.12 1.72 1.43 1.47 1.25 1.29 Ireland 1.56 1.56 1.57 1.50 1.19 1.17 1.04 Spain 1.33 1.29 1.27 1.24 1.22 1.19 1.20 Italy 1.21 1.27 1.31 1.34 1.34 1.37 1.35 Cyprus 0.46 0.44 0.48 0.51 0.48 0.53 0.55 Latvia 0.70 0.66 0.61 0.69 0.63 0.44 0.51 Lithuania 0.90 0.89 0.95 1.03 1.04 0.84 0.89 Luxembourg 1.46 1.27 1.30 1.26 1.28 1.30 1.26 Malta 0.67 0.83 0.77 0.71 0.74 0.57 0.54 Netherlands 1.88 1.92 1.93 1.98 1.98 2.00 1.99 Germany 2.80 2.87 2.82 2.87 2.91 2.92 3.02 Poland 0.75 0.88 0.87 0.94 1.00 0.96 1.03 Portugal 1.46 1.38 1.33 1.29 1.24 1.28 1.32 Romania 0.50 0.48 0.39 0.38 0.49 0.48 0.50 Slovak Republic 0.66 0.80 0.82 0.88 1.17 0.79 0.88 Slovenia 2.42 2.57 2.58 2.37 2.20 2.01 1.86 Hungary 1.19 1.26 1.39 1.35 1.36 1.20 1.35 Finland 3.64 3.42 3.29 3.17 2.89 2.74 2.76 France 2.19 2.23 2.24 2.28 2.27 2.24 2.19 Croatia 0.75 0.75 0.81 0.78 0.84 0.86 0.86 Czech Republic 1.56 1.78 1.90 1.97 1.93 1.68 1.79 Sweden 3.25 3.28 3.30 3.14 3.26 3.27 3.33 EU 1.97 2.00 2.01 2.03 2.04 2.04 2.06 Ukraine 0.74 0.75 0.76 0.65 0.61 0.48 0.45 182 I. Matyushenko et al. Assessment of the development of foreign trade in high-tech production... Table A2. High-tech exports from the EU and Ukraine (% of industrial exports) (source: author’s own elaboration based on The World Bank) Country Year 2011 2012 2013 2014 2015 2016 2017 Austria 13.26 14.58 15.41 15.53 15.08 14.51 12.87 Belgium 10.55 11.86 12.03 13.36 13.65 13.05 10.70 Bulgaria 7.83 8.05 8.29 7.36 8.19 8.87 9.53 UK 23.58 23.80 23.88 22.47 22.67 23.98 23.03 Greece 11.15 10.06 8.38 11.40 12.81 13.62 11.99 Denmark 15.29 15.84 15.85 15.72 17.19 16.68 13.88 Estonia 22.16 20.45 20.54 23.33 22.44 22.02 17.56 Ireland 24.80 25.48 24.84 24.78 28.20 32.72 29.03 Spain 6.82 7.36 8.08 7.43 7.58 7.45 7.74 Italy 8.07 7.67 7.91 7.82 8.29 8.37 7.91 Cyprus 30.31 16.59 13.08 14.59 13.14 13.43 14.05 Latvia 9.32 11.25 15.22 17.69 18.83 17.14 17.50 Lithuania 10.64 11.06 11.06 11.16 12.81 12.72 12.57 Luxembourg 9.05 8.68 6.85 5.97 7.11 7.97 7.14 Malta 47.55 46.13 38.77 34.78 30.45 21.99 .. Netherlands 25.07 25.50 25.98 25.79 24.15 23.90 22.67 Germany 16.45 17.36 17.39 17.28 17.89 18.06 15.90 Poland 6.62 7.89 8.85 10.25 11.02 11.04 10.89 Portugal 4.11 4.48 4.68 4.86 5.06 5.78 5.96 Romania 11.63 8.13 7.36 8.39 9.41 10.39 9.82 Slovak Republic 7.38 9.58 11.02 11.14 11.15 10.74 11.80 Slovenia 6.21 6.65 6.73 6.41 7.00 7.14 6.50 Hungary 25.15 21.20 19.36 16.68 .. 17.47 17.30 Finland 11.11 10.52 9.09 10.13 10.21 10.06 9.56 France 25.32 26.85 27.28 27.61 28.36 28.08 26.09 Croatia 8.72 11.89 12.63 10.55 10.79 14.70 8.80 Czech Republic 18.71 18.59 17.35 17.40 17.79 16.99 17.90 Sweden 18.76 18.00 18.00 17.98 18.13 18.28 15.38 EU 16.94 17.45 17.49 17.40 18.01 18.21 16.69 Ukraine 5.00 6.91 6.71 7.53 8.52 7.22 6.25