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The Economic Complexity of the Visegrád Countries and the Role of Trade with Germany Cover

The Economic Complexity of the Visegrád Countries and the Role of Trade with Germany

Open Access
|Oct 2022

Figures & Tables

Figure 1

The GL-index of V4 countries in trade with Germany in low-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).
The GL-index of V4 countries in trade with Germany in low-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).

Figure 2

The GL index of V4 countries in trade with Germany in mid-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).
The GL index of V4 countries in trade with Germany in mid-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).

Figure 3

The GL index of V4 countries in trade with Germany in high-tech goods (2001–2019)Source: Authors' own calculations based on Trade Map (2021).
The GL index of V4 countries in trade with Germany in high-tech goods (2001–2019)Source: Authors' own calculations based on Trade Map (2021).

Figure 4

The GL-index of V4 countries in high-quality vertical trade with Germany in low-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).
The GL-index of V4 countries in high-quality vertical trade with Germany in low-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).

Figure 5

The GL-index of V4 countries in high-quality vertical trade with Germany in mid-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).
The GL-index of V4 countries in high-quality vertical trade with Germany in mid-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).

Figure 6

The GL index of V4 countries in high-quality vertical trade with Germany in high-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).
The GL index of V4 countries in high-quality vertical trade with Germany in high-tech goods (2001–2019).Source: Authors' own calculations based on Trade Map (2021).

Random coefficient regression model coefficients for Model 1

CountryCzechiaHungaryPolandSlovakia
GL_HT−0.0704(0.404)0.1050(0.563)1.2351***(0.249)1.289***(0.5005)
GL_MT0.2208(0.579)0.0689(0.512)−1.4072(1.283)−0.279(0.241)
GL_LT1.3453(1.066)1.7504*(0.947)0.1776(0.794)−0.511(0.643)
FDI−0.0087(0.006)0.0001(0.0004)0.0016(0.0098)0.009(0.0064)
LogImport−1.352*(0.694)−1.251*(0.694)−1.2075*(0.698)−2.827***(0.673)
LogRD0.6005(0.454)0.1768(0.553)1.228**(0.533)−0.109(0.287)
LogResearcher0.841***(0.144)1.1051***(0.183)−0.4478**(0.215)1.776***(0.307)

Variables, definitions, data sources, and summary statistics

VariablesDefinitionData SourceNum. of ObservationMeanStd. Dev.
ECIEconomic complexity indexHarvard MIT (2022)761.26420.2606
GL_HTGL-index with Germany for high-tech product clustersAuthors' calculations based on Trade Map (2021)760.30970.0953
GL_MTGL-index with Germany for mid-tech product clustersas above760.47280.0959
GL_LTGL-index with Germany for low-tech product clustersas above760.43640.0609
VERTHQ_HTVertical trade/high quality with Germany for high-tech product clustersas above760.11800.0544
VERTHQ_MTVertical trade/high quality with Germany for mid-tech product clustersas above760.16550.0458
VERTHQ_LTVertical trade/high quality with Germany for low-tech product clustersas above760.11310.0302
FdiForeign direct investment, net inflows (% of GDP)World Bank765.988012.9742
LogImportLogarithm of share of intermediate and capital goods imports in total imports from GermanyAuthors' calculations based on UN Comtrade (2022)761.92550.0195
LogRDLogarithm of gross domestic spending on R&D (% of GDP)OECD76−0.02340.1756
LogResearcherLogarithm of researchers per 1000 employedas above760.72390.1103

Correlation Matrices for Model 1 and Model 2

Model 1
GL_HTGL_MTGL_LTFdiLogImportLogRDLogResearcher
GL_HT1------
GL_MT0.77461-----
GL_LT0.76670.79991----
Fdi0.0161−0.1464−0.15091---
LogImport−0.3492−0.2576−0.1261−0.08711--
LogRD0.71070.48930.5864−0.0058−0.1751-
LogResearcher0.08620.09520.2062−0.1306−0.03710.4181

Variance Inflation Factor

Model 1
GL_HT1.18
GL_MT1.23
GL_LT1.18
Fdi1.11
LogImport1.3
LogRD1.15
LogResearcher1.07
Mean VIF1.17

Unit root test results

CADF Unit Root Test
VariablesCIPS Statistics
Level1st difference
ECI−3.717***-
GL_HT−2.758*-
GL_MT−1.21−3.724***
GL_LT−1.30−4.126***
LogImport−2.886**-
LogRD−2.34−4.113***
LogResearcher−2.93**-
VERTHQ_HT−3.062**-
Im-Pesaran-Shin Unit Root Test
VariablesInterceptIntercept - Trend
Fdi−4.23201***−4.08435***
VERTHQ_MT−2.00021**−2.20049**
VERTHQ_LT−1.36331−0.64119
Δ VERTHQ_LT−8.86728***−7.62207***

Cross-section dependency test results

VariablesCDLM1CDLM2LMadj
ECI106.570627.8775327.76642
(0.000)(0.000)(0.000)
GL_HT19.336112.6951032.583992
(0.003)(0.007)(0.009)
GL_MT48.5574311.1305711.01946
(0.000)(0.000)(0.000)
GL_LT34.051626.9431066.831995
(0.000)(0.000)(0.000)
VERTHQ_HT53.5560712.5735512.46244
(0.000)(0.000)(0.000)
VERTHQ_MT10.15320.044226−0.066885
(0.118)(0.964)(0.946)
VERTHQ_LT14.610221.3308551.219744
(0.024)(0.183)(0.223)
Fdi14.567011.3183811.20727
(0.024)(0.187)(0.227)
LogImport30.154035.8179665.706855
(0.000)(0.000)(0.000)
LogRD92.4209523.7928823.68177
(0.000)(0.000)(0.000)
LogResearcher67.2077416.5144516.40334
(0.000)(0.000)(0.000)

Parameter constancy test results

CoefficientModel 2Model 3
χ2694.57588.93
(0.000)(0.000)

Random coefficient regression model coefficients for Model 2

CzechiaHungaryPolandSlovakia
VERTHQ_HT1.195***(0.331)1.484**(0.649)2.543***(0.599)1.5311***(0.280)
VERTHQ_MT0.065(0.4008)0.356(0.766)−1.695**(0.817)−0.6512***(0.218)
VERTHQ_LT−0.256(0.395)−0.114(1.149)−1.993*(1.153)−0.819***(0.312)
FDI−0.002(0.004)0.000(0.0009)−0.004(0.0125)−0.006(0.003)
LogImport−0.9514**(0.446)−1.657***(0.494)−1.291***(0.491)−2.544***(0.468)
LogResearcher0.4097***(0.135)0.9209***(0.313)0.300(0.327)1.708***(0.187)
DOI: https://doi.org/10.2478/ceej-2022-0013 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English
Page range: 219 - 236
Published on: Oct 23, 2022
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2022 Semanur Soyyiğit, Bartosz Michalski, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.