Research Article |
Corresponding author: Han-Sol Lee ( 1042185141@pfur.ru ) © 2022 Non-profit partnership “Voprosy Ekonomiki”.
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Citation:
Lee H-S, Zobov AM, Degtereva EA (2022) The role of governance and market openness on bilateral trade flows of South Korea with CEE and CIS countries. Russian Journal of Economics 8(4): 333-351. https://doi.org/10.32609/j.ruje.8.84097
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Employing an intercountry trade force (ITF) theory, this paper investigates bilateral trade between South Korea and 28 economies of Central Eastern Europe (CEE) and the Commonwealth of Independent States (CIS) based on balanced panel data for the period from 2011 to 2019. Free trade space (FTS) and gravity index (GI) turned out statistically significant and their coefficient signs are in line with the research hypothesis. Our model also confirms that bilateral trade volumes are highly enhanced by the quality institutions of CEE and CIS countries. The impact of their good governance becomes larger in relation to South Korea’s exports to those countries. A level of market openness (measured by FDI ratio and WTO membership) does not facilitate bilateral trade volumes, in general. However, WTO membership turns out to be a significant and positive factor in promoting CEE and CIS countries’ exports to South Korea. Therefore South Korea must strive to enhance the institutional quality of CEE and CIS countries to ease the process of customs clearance and the conclusion and enforcement of trade contracts, and reduce transaction costs. Liberalizing economies based on internationally acknowledged economic principles will continue to enhance CEE and CIS countries’ exports to South Korea.
trade policy, intercountry trade force, institutional quality, market openness.
Amid economic turmoil during the COVID-19 pandemic, South Korea established a firm position in international trade with the country being ranked as the 7th exporter and the 9th importer in 2020 (WTO, 2021). However, South Korea is highly vulnerable to exogenous factors (e.g., the China–USA trade war) due to its highly skewed international trade structure with a few countries, for instance, China, Japan, the USA, and Vietnam. This has long been cited as an endemic problem in the South Korean economy. And it has led the country to introduce foreign policies to expand its global footprint by diversifying international networks for economic cooperation. In particular, South Korea, whose society still harbors anti-communism sentiments, known as the “red complex,” due to the ongoing national division of North and South, has modified its antipathy towards post-communist economies. In 2017, the South Korean government established the New Northern Policy to widen partnerships mainly with former Soviet Union (FSU) countries and the Commonwealth of Independent States (CIS) (
In addition, South Korea has expanded the horizon for economic cooperation with some post-communist economies in Europe, namely, Central Eastern European countries, which accessed the European Union (EU), based on the EU–South Korea FTA, which has been applied since July 2011.
However, although they have grown significantly, bilateral trade flows of South Korea with CEE and CIS countries have remained at a modest level compared to that in Asia. In particular, the growth in trade with Vietnam is impressive. From 2011 to 2020, the compound annual growth rate (CAGR) of South Korea’s exports to Vietnam is 13.6%, while that of South Korea’s imports from Vietnam is 15%. In 2020, South Korea’s exports to Vietnam accounted for 9.5% of its total exports, and South Korea’s imports from Vietnam accounted for 4.4% of its total imports. By contrast, over the past decade, South Korea’s exports to CEE and CIS countries annually decreased by –0.5%, on average, and South Korea’s imports from those countries annually increased only by 1.7%, on average. In 2020, South Korea’s exports to those countries accounted for 5.3% of its total exports, and South Korea’s imports from those countries accounted for 3.7% of its total imports (IMF, 2022).
In this respect, among various economic regions in the world, this paper especially aims to elucidate the idiosyncrasies of bilateral trade patterns of South Korea with CEE and CIS countries. It is worth noting that previous studies have explored the trade patterns of South Korea (
The remainder of this paper is organized as follows. In section 2, the trade structure between South Korea and CEE/CIS countries will be investigated. In section 3, we explore previous studies. Section 4 provides data and econometric models. Section 5 lays out the results of the empirical analysis. Section 6 compares our results with previous studies. Lastly, in section 7, we conclude with policy implications.
Before conducting analyses in depth, in this section, the main trading partners of CEE/CIS countries with South Korea and their trade structure are investigated. Table
On the other hand, among CEE countries, 4 Visegrad Group countries are critical partners for South Korea both in exports and imports. South Korea’s exports to Poland, Hungary, Czechia, and Slovakia ranked from 2nd to 5th, while South Korea’s imports from Czechia, Slovakia, and Poland ranked from 3rd to 5th. In particular, South Korea’s exports to Poland amounted to $5.640 billion, which is comparable to that of Russia. By contrast, South Korea’s imports from Visegrad Group countries are at a similar level to that from Kazakhstan, but less than 1/10 of that from Russia.
To probe the trade structure between South Korea and CEE countries, the greater volume of goods exported from South Korea to CEE countries is broken down into electronic equipment and related components, nuclear reactors, boilers, machinery and related component, vehicles and related components, plastic and its products, and inorganic chemicals, precious metals, rare earth metals, radioactive elements, and organic or inorganic compounds of isotopes. And the greater volume of goods imported to South Korea from CEE countries is broken down into vehicles and related components, nuclear reactors, boilers, machinery and related component, electronic equipment and related components, optics, other measuring instruments and related components, and grain (Figs
By contrast, South Korea’s trade with CIS countries shows a rather different structure compared to that with CEE countries (Figs
Top 5 exporting and importing CEE/CIS countries with South Korea in 2020.
Rank | Exportsa) | Importsb) | ||||
Country | Amount (million U.S. dollars) | Country | Amount (million U.S. dollars) | |||
1 | Russia | 6,905.00 | Russia | 10,682.69 | ||
2 | Poland | 5,640.17 | Kazakhstan | 1,089.45 | ||
3 | Hungary | 2,922.52 | Czechia | 956.79 | ||
4 | Czechia | 2,693.70 | Slovakia | 872.85 | ||
5 | Slovakia | 2,210.92 | Poland | 832.68 |
Governance is comprised of principles and institutions that exercise state authority (World Bank, 2021), and frequent studies have explored its significant role in trade. A study by
Other papers, by contrast, show mixed results. A study by
To conclude, good governance is a highly relevant factor to promote trade. By contrast, research on trade between South Korea and post-communist countries has seldom been conducted because it counts for less. In addition, previous studies predominantly employed a gravity equation, but we will apply a fresh and relatively unexplored trade theory: the intercountry trade force (ITF) model. In this sense, our study can provide new perspectives. The findings of the previous studies are illustrated in Table
Summary of previous studies on the relationship between trade and governance.
Study | Methodology | Country/Year | Findings |
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OLS, 2SLS | 59 (57) countries (1990–2000) | Among total exports, exports of manufactured goods, and exports of non-manufactured goods, only exports of manufactured goods are positively correlated with institutional quality. |
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Cross-sectional estimation of pooled data, instrumental variable | Between New Zealand and Asia (2003–2012) | A negative relationship between Asia’s political rights (ranging from 1 to 7, were 1 representing the highest degree of democracy, and 7 — the lowest degree) the highest with New Zealand’s exports to Asia. |
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Fixed effects (FE), random effects (RE) | 166 countries (1976–2004) | Quality institutions promote exports. |
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Poisson Pseudo-maximum likelihood (PPML) | 186 countries (1996–2012) | Positive impacts of higher governance indicators of importing countries on their total trade volumes. |
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Fixed effects vector decomposition (FEVD) | Between China and the world (1990–2013) | Countries with better-quality institutions export more meats to China. |
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FE, RE, Hausman–Taylor (HT), PPML | 164 countries (1985–2013) | A negative relationship between the geopolitical index (GPR) and trade flows. |
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FE, RE, FMOLS | Iran/Russia–Western European states / AsiaPacific countries (2006–2015, 2008–2016) | Impacts of sanctions on modifying trading partners of Iran and Russia from Western European states to Asia-Pacific countries. |
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System GMM | Between NAFTA and 105 countries (2006–2017) | A positive correlation between institutional quality and trade flows. |
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OLS, system GMM | 160 countries (2012, 2015, 2017, 2019) | A positive impact of good governance on trade. |
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GLS | Between Romania and 27 EU countries (2007–2018) | The significant relationship between Romanian regulatory quality and their exports is demonstrated, while the impacts of other governance indicators are mixed. |
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PPML | Between Colombia and 136 countries (2005–2018) | A significant impact of the governance quality of Columbia and the institutional distance between the country and its partner on its exports. |
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System GMM | 45 sub-Saharan African countries (1996–2019) | Total exports and exports of services are positively correlated with six governance indicators, while that of manufactured goods showed co-movement with those indicators excluding government effectiveness. |
In the modern economy, international economic activity plays an incredibly important role in the economy of enterprises because it provides many markets for their goods and services, allows access to more resources, and enhances efficiency in value chains. Since the establishment of the World Trade Organization (WTO) in 1995, the place of trade in the world economy has consistently increased. Since 1970, global exports have increased by 58.5 times. In 2020, despite harsh restrictions on cross-border activities of industrial enterprises due to the COVID-19 pandemic, the share of exports in global GDP was still considerable, by 26.47% (World Bank, 2022).
In addition, in the 21st century, multinational enterprises (MNEs) are actively developed. There are different views on the definition of MNEs, depending on their standardized classifications, but according to the United Nations (UN), MNE is defined, in a broad sense, as any company acting in more than one country by establishing foreign branches or affiliates (UN, 1973). One of the main indicators to estimate the development stage of MNEs is the volume of foreign direct investment (FDI). Global inward FDI stock has increased from $700 billion in 1980 to $41 trillion in 2020; and its ratio to global GDP reached 48.80% in 2020 from 6.19% in 1980 (World Bank, 2022; UNCTAD, 2022). These accumulative values of FDI show how much the internationalization of MNEs has actively progressed over the past four decades. Although, as a result of COVID-19, global FDI inflow temporarily fell by 35% in 2020, these consistent and considerable accumulated values of FDI indicate that the pattern of FDI will be normalized to a pre-pandemic level in the mid- and long-term taking into account the continuation of the underlying MNEs’ macroeconomic motives of direct investment.
The post-communist countries have actively opened up their economies to increase exports, and implemented favorable policies to attract foreign investment. On the other hand, the relationship between trade and FDI is rather vague and controversial, although both are highly relevant indicators to measure the degree of market openness (Mundell, 1975;
Our study followed the intercountry trade force (ITF) model, which was introduced by
, (1)
Another main factor of the ITF model is the free space of trade (FST) of country i with j and it can be formulated as follows:
, (2)
The basic econometric model of ITF is formulated as follows:
, (3)
where Trade denotes trade flows between country i and j in year t; GI denotes gravity index; FST denotes free space for trade. A larger (smaller) FST stands for a less (higher) free space for trade (
For regression analysis, we constructed balanced panel datasets of 28 of South Korea’s partner post-communist economies in CEE and CIS countries for the period 2011–2019. The list of the 28 South Korea’s partner countries in this study is shown in Appendix Table
Fig.
The following four ITF models are applied in our study:
, (4)
, (5)
, (6)
, (7)
To describe dependent variables, Tradei,t denotes bilateral trade volumes (the sum of exports and imports, current million U.S. dollars) between South Korea and country i in year t. Trade-to-Korean GDP ratioi,t is the ratio of trade volumes between South Korea and country i to South Korean GDP in year t. This ratio indicates the significance of trade with CEE and CIS countries to the South Korean economy. Exporti,t is South Korea’s exports to CEE and CIS countries, while Importi,t is South Korea’s imports from CEE and CIS countries.
FSTi,t is a free trade space between South Korea and country i in year t. GIi,t is a gravity index between South Korea and country i in year t. Govi,t denotes an average value of the World Bank’s Worldwide Governance Indicator (WGI) in six criteria (scaled from –2.5 to +2.5) of the country i in year t, which are composed of control of corruption (CC), governance effectiveness (GE), political stability and absence of violence/terrorism (PV), regulatory quality (RQ), rule of law (RL) and voice and accountability (VA). A higher score stands for better governance. The inclusion of these six variables in a single regression model could give rise to an issue of multicollinearity (Moers, 1999), and to avoid this risk, in line with the previous studies of
Table
Variable | N | Mean | Std. dev | Min | Max | Unit |
Trade | 252 | 1.538883 | 3.972172 | 0.000962 | 25.79849 | Billion U.S. dollars |
Trade-to-Korean GDP ratio | 252 | 0.001047 | 0.002721 | 6.48E–07 | 0.017562 | Ratio |
Export | 252 | 0.923239 | 1.816322 | 0.000935 | 11.14910 | Billion U.S. dollars |
Import | 252 | 0.615644 | 2.369631 | 1.42E–07 | 17.45812 | Billion U.S. dollars |
FST | 252 | 0.988690 | 0.015924 | 0.898175 | 0.999714 | Ratio |
GI | 252 | 48.69045 | 121.1626 | 0.988552 | 765.5177 | (Billion)2 U.S. dollars/mile |
Gov | 252 | –0.026347 | 0.704927 | –1.431124 | 1.237206 | –2.5 ~ +2.5 |
FDI | 252 | 0.039504 | 0.033280 | –0.116104 | 0.172481 | Ratio |
WTO | 252 | 0.753968 | 0.431554 | 0.000000 | 1.000000 | 1 or 0 |
For the empirical analysis, we used OLS, GLS (period SUR), FE, and RE estimators to obtain robust results. Table
As expected, the results yield a positive coefficient of Gov on bilateral trade, suggesting that the enhancement of governance indicators in CEE and CIS countries helps to increase trade flows with South Korea. Their positive statistical significance survives throughout the model (1)–(8). The results are valid when the dependent variable is changed by South Korea’s exports to the CEE and CIS countries (see model (9)–(12)). However, the significant and positive effect of Gov disappears when the dependent variable is South Korea’s imports from the CEE and CIS countries (see model (13)–(16)).
Contrary to the research hypothesis, FDI does not present a statistical significance throughout the model (1)–(8), while the coefficient sign of WTO is rather vague, which indicates that the degree of market openness does not have a positive and significant impact on trade volumes between South Korea and CEE and CIS countries. The same results are repeated, when a dependent variable is South Korea’s exports to CEE and CIS countries (see model (8)–(12)). However, the significance of WTO consistently appears, when the dependent variable is South Korea’s imports from the CEE and CIS countries (see model (13)–(16)).
Dependent variable | Trade | Trade-to-Korean GDP ratio | ||||||||
(1) OLS | (2) GLS | (2) FE | (4) RE | (5) OLS | (6) GLS | (7) FE | (8) RE | |||
FST | –27.19563*** (3.274108) | –26.96873*** (1.806231) | –43.43721*** (5.415999) | –41.43965*** (4.665964) | –0.017605*** (0.002676) | –0.016010*** (0.001224) | –0.019874*** (0.005641) | –0.021570*** (0.004480) | ||
GI | 0.031239*** (0.000422) | 0.030924*** (0.000392) | 0.033884*** (0.001294) | 0.032122*** (0.000858) | 2.13E–05*** (3.45E–07) | 2.11E–05*** (2.92E–07) | 2.29E–05*** (1.35E–06) | 2.15E–05*** (7.31E–07) | ||
Gov | 0.370652*** (0.084508) | 0.252759*** (0.073342) | 1.242375*** (0.338304) | 0.642111*** (0.178001) | 0.000270*** (6.91E–05) | 0.000186*** (5.39E–05) | 0.001138*** (0.000352) | 0.000421*** (0.000146) | ||
FDI | –0.339797 (1.517300) | –0.246120 (0.187674) | –0.767896 (1.143872) | 0.006011 (1.114870) | –0.000191 (0.001240) | –0.000145 (0.000132) | –0.001101 (0.001191) | 6.66E–05 (0.001190) | ||
WTO | 0.218358 (0.136126) | 0.180291*** (0.045568) | 0.042000 (0.178006) | –0.032966 (0.160226) | 6.39E–05 (0.000111) | 8.03E–05** (3.41E–05) | –0.000305 (0.000185) | –0.000347** (0.000161) | ||
Constant | 26.76446*** (3.217698) | 26.59328*** (1.791928) | 42.86639*** (5.372351) | 40.98735*** (4.623451) | 0.017382*** (0.002630) | 0.015808*** (0.001216) | 0.019883*** (0.005595) | 0.021596*** (0.004433) | ||
Country | No | No | Yes | Yes | No | No | Yes | Yes | ||
Year | No | No | Yes | Yes | No | No | Yes | Yes | ||
R-squared | 0.964403 | 0.964199 | 0.991793 | 0.863792 | 0.949348 | 0.958352 | 0.981034 | 0.794532 | ||
N | 252 | 252 | 252 | 252 | 252 | 252 | 252 | 252 |
Dependent variable | Export | Import | ||||||||
(9) OLS | (10) GLS | (11) FE | (12) RE | (13) OLS | (14) GLS | (15) FE | (16) RE | |||
FST | –28.22476*** (2.994849) | –23.01696*** (2.239011) | –22.44953*** (5.127314) | –25.11311*** (4.475375) | 1.029136 (2.802097) | –2.871477*** (1.094069) | –20.98768*** (5.849970) | –12.52022*** (4.525984) | ||
GI | 0.012582*** (0.000386) | 0.013080*** (0.000456) | 0.019664*** (0.001225) | 0.015503*** (0.000805) | 0.018657*** (0.000361) | 0.017910*** (0.000281) | 0.014221*** (0.001397) | 0.017103*** (0.000746) | ||
Gov | 0.573953*** (0.077300) | 0.346773*** (0.063152) | 0.701340** (0.320271) | 0.645609*** (0.165517) | –0.203302*** (0.072325) | –0.066961 (0.068049) | 0.541035 (0.365411) | –0.100821 (0.149302) | ||
FDI | –1.339974 (1.387885) | –0.312664 (0.291695) | 0.331383 (1.082901) | 0.763323 (1.086529) | 1.000177 (1.298559) | 0.304006* (0.178005) | –1.099279 (1.235527) | –0.628699 (1.188658) | ||
WTO | –0.080949 (0.124515) | –0.030347 (0.059479) | –0.321437* (0.168518) | –0.425780*** (0.154772) | 0.299307** (0.116501) | 0.149845*** (0.040281) | 0.363437* (0.192269) | 0.407627** (0.161776) | ||
Constant | 28.34525*** (2.943251) | 23.03849*** (2.226366) | 22.40918*** (5.085993) | 25.30536 (4.433794) | –1.580793 (2.753820) | 2.554056** (1.082325) | 20.45721*** (5.802825) | 11.87634*** (4.479951) | ||
Country | No | No | Yes | Yes | No | No | Yes | Yes | ||
Year | No | No | Yes | Yes | No | No | Yes | Yes | ||
R-squared | 0.857555 | 0.829462 | 0.964822 | 0.635868 | 0.926737 | 0.953864 | 0.973096 | 0.705599 | ||
N | 252 | 252 | 252 | 252 | 252 | 252 | 252 | 252 |
First of all, our study found an inverse relationship between FST and trade, which is in line with the theoretical hypothesis, but contradicts the previous studies of
However, contrary to predictions, FDI is defined as an insignificant factor in trade. First of all, the FDI-to-GDP ratio of CEE and CIS countries does not have any impact on their bilateral trade with South Korea. Although the trade creation effects of FDI have been amply demonstrated in empirical studies (Brainard, 1997;
In our empirical study, the effect of WTO is rather vague, and although WTO membership likely plays a crucial role before concluding preferential trade agreements (PTAs), its impacts become relatively insignificant after PTAs come into effect (
This study explores the idiosyncrasies of bilateral trade patterns between South Korea and 28 post-communist economies in CEE and CIS for the period from 2011 to 2019 by employing the ITF model. The effects of governance indicators and a level of market access are especially explored in addition to the initial variables of ITF (namely, FST and GI).
Our findings are in line with the theoretical hypothesis of the ITF model. The coefficient of FST turned out negative, while that of GI showed positive. CEE and CIS countries need to enhance a free space of trade and trade potential with South Korea. Also, an increase in economic mass relative to distance will significantly facilitate trade flows. This indicates that enhancing economic conditions in line with the geographical distance to each country is critical in order to also enhance trade volumes between South Korea and CEE/CIS countries.
In addition, we find that the high institutional quality of CEE and CIS countries generates a positive impact on bilateral trade flows with South Korea, which is in line with previous studies (
From the above results, we can induce policy implications as follows. Improving the institutional mechanisms of CEE and CIS countries is highly relevant to enhance trade flows with South Korea. Particularly, it is a much more important agenda for South Korea in that good governance of CEE and CIS countries positively facilitates its exports to those countries. In this vein, it seems necessary for South Korea to strive to enhance the institutional quality of CEE and CIS countries to ease the process of customs clearance and in order to conclude and enforce trade contracts and reduce transaction costs. South Korea should construct a joint committee with CEE and CIS countries, and hold regular meetings to share desirable directions of institutional reformation regarding the bilateral trade process. Further economic integration through, for instance, trade agreements can be considered based on developed institutional systems of CEE and CIS countries. In addition, to increase their exports to South Korea, it seems necessary for CEE and CIS countries to access global trading systems and equip themselves to negotiate them properly. They should also open their borders by following the principles of global trading standards. Those economies that succeed in liberalizing themselves based on internationally acknowledged economic principles will enhance their exports to South Korea. It is important to provide comprehensive institutional support for bilateral foreign economic relations between South Korea and CEE/CIS countries, relying on the best international practices as a concretization of the general principle of openness of the economies as a whole.
Also, it is necessary to take into account the historical and geopolitical features of each of the countries. This is especially significant for the macroeconomic and geopolitical situation in 2022, during a period of fundamental changes in world trade and increasing conflict in politics. Despite all the upheavals of 2022, South Korea’s overall strategy, and its foreign economic policy towards the CEE/CIS countries, are generally characterized by pragmatism. These features of South Korea make it possible to maintain and, even, in a number of commodity groups, increase foreign economic turnover with the CEE/CIS countries.
On the other hand, this study does have limitations. Although the study categorized countries as CEE and CIS countries and composed a panel, some countries, like Russia, have particular and unique trade patterns and characteristics as demonstrated in Section 2 of this study. Therefore, in a follow-up study, it is recommended to sophisticate the trade patterns with a specific country of CEE and CIS, which has dominant trade volumes with South Korea, and include other important variables, for instance, oil prices, exchange rate volatility, and so forth.
CEE (16 countries) | CIS (12 countries) |
Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, Hungary, Latvia, Lithuania, North Macedonia, Montenegro, Poland, Romania, Serbia, Slovak Republic, Slovenia | Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyz Republic, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine, Uzbekistan |