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The Trade Potential of Infrastructure Partnerships: The Case of EU Global Gateway

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20 nov 2024
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Figure 1.

Steps of the analysisSource: own illustration
Steps of the analysisSource: own illustration

Figure 2.

Shares of Global Gateway countries in EU imports by world regionSource: UN Comtrade (2024); own calculations.
Shares of Global Gateway countries in EU imports by world regionSource: UN Comtrade (2024); own calculations.

Figure 3.

Averages of infrastructure indices for Global Gateway countries by world regionSources: World Bank (2019;2024a,b); IRF (2023); WEF (2020); own calculations. Transport index: No values for Melanesia.
Averages of infrastructure indices for Global Gateway countries by world regionSources: World Bank (2019;2024a,b); IRF (2023); WEF (2020); own calculations. Transport index: No values for Melanesia.

Figure 4.

Effects of Global Gateway scenarios on EU imports – Scenario: general strengtheningSource: own calculations
Effects of Global Gateway scenarios on EU imports – Scenario: general strengtheningSource: own calculations

Figure 5.

Effects of Global Gateway scenarios on EU imports – Scenario: development focusSource: own calculations
Effects of Global Gateway scenarios on EU imports – Scenario: development focusSource: own calculations

Figure 6.

Spatial concentration of external EU suppliersSource: own calculations.
Spatial concentration of external EU suppliersSource: own calculations.

List of variables and data sources

Variable name Description Data source
Trade flow measures
tradep=base materials Bilateral trade volumes in HS chapters inorganic chemicals (HS-Code: 28), iron and steel (72), articles of iron or steel (73), copper articles (74), nickel articles (75), aluminium articles (76), lead articles (78), zinc articles (79), tin articles (80), other base metals (81) UN Comtrade (2024)
tradep=mechanical machinery Bilateral trade volumes in HS chapter 84 UN Comtrade (2024)
tradep=electric equipment Bilateral trade volumes in HS chapter 85 UN Comtrade (2024)
tradep=vehicles Bilateral trade volumes in HS chapters 87.88. and 89 UN Comtrade (2024)
Trade partner size measures
massi Exporter supply potential: value added in medium- and high-tech manufacturing + total imports of base materials, mechanical machinery, electric equipment, vehicles World Bank (2024a); UN Comtrade (2024)
massj Importer demand potential: GDP + total imports of base materials, mechanical machinery, electric equipment, vehicles World Bank (2024a); UN Comtrade (2024)
pop Population size World Bank (2024a)
area Land area World Bank (2024a)
Bilateral trade cost measures
dist Great-circle distance (see Mayer & Zignago, 2011) CEPII (2024)
bord Existence of common border (dummy) CEPII (2024)
lang Existence of common official language (dummy) CEPII (2024)
col Existence of former colonial relation (dummy) CEPII (2024)
tariff Weighted average of (product-group) specific tariffs UNCTAD (2024)
rta Existence of joint trade agreement (dummy) Larch (2024)
Infrastructure measures: transport (trans)
quality of trade-infrastructure Perceived quality of transport- and trade related infrastructure (Pillar from Logistics Performance Index) World Bank (2024a)
road quality Perceived quality of roads (survey) WEF (2020)
road network density Relation of road length to land area IRF (2024)
share of paved roads Relation of length of paved roads to total road length IRF (2024)
access to electricity Share of population with access to electricity World Bank (2024a)
Infrastructure measures: ict (ict)
broadband subscriptions Share of population with broadband subscriptions World Bank (2024a)
telephone subscriptions Share of population with telephone subscriptions World Bank (2024a)
internet users Share of population using the internet World Bank (2024a)
mobile subscriptions Share of population with mobile subscriptions World Bank (2024a)
secure internet servers Number of secure internet servers per 1 million people World Bank (2024a)
Infrastructure measures: political-legal institutions (pol)
political stability Perceived protection against political instability and/or politically-motivated violence, including terrorism World Bank (2024b)
government effectiveness Perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government’s commitment to such policies World Bank (2024b)
regulatory quality Perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development World Bank (2024b)
control of corruption Perceived protection against the risk that public power is exercised for private gain, including both petty and grand forms of corruption, as well as “capture” of the state by elites and private interests World Bank (2024b)
rule of law Perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence World Bank (2024b)
Infrastructure measures: administrative burden – trade (tradeburd)
time to export: border compliance Time associated with compliance with the economy’s customs regulations and with regulations relating to other inspections related to the export process World Bank (2019)
time to export: documentary compliance Time associated with compliance with the documentary requirements related to the export process World Bank (2019)
time to import: border compliance Time associated with compliance with the economy’s customs regulations and with regulations relating to other inspections related to the import process World Bank (2019)
time to import: documentary compliance Time associated with compliance with the documentary requirements related to the import process World Bank (2019)
Infrastructure measures: administrative burden - business formation (entry)
business formation: costs Cost of business start-up procedures World Bank (2019)
business formation: procedures Start-up procedures to register a business World Bank (2019)
business formation: time Time required to start a business World Bank (2019)

Estimation results gravity model – alternative specifications (outcome equations)

Dependent variables
ln(tradebase materials) ln(trademechanical machinery)
Specification 1 Specification 2 Specification 1 Specification 2
Estimate t-value Estimate t-value Estimate t-value Estimate t-value
ln(transit-1) 1.970 14.096*** 1.498 14.885***
ln(ictit-1) 1.446 14.690*** 0.801 11.310***
ln(polit-1) 1.125 7.706*** 2.448 23.398***
ln(tradeburdit-1) −0.156 −14.363*** −0.180 −23.585***
ln(transit-2) 2.022 12.463*** 1.535 12.922***
ln(ictit-2) 1.367 12.193*** 0.761 9.391***
ln(polit-2) 0.817 4.909*** 2.331 19.480***
ln(tradeburdit-2) −0.137 −10.767*** −0.173 −19.561***
adj. R2 0.589 0.591 0.736 0.734
no. observations 19,699 14,381 19,699 14,381

Simulated impact of a 50 % drop in Chinese exports on EU imports

Scenario
Situation 2022 General strengthening Development focus
Product group Direct effects Indirect effects Direct effects Indirect effects Direct effects Indirect effects
Base materials −2.82 % −3.59 % −2.83 % −4.15 % −2.80 % −4.09 %
Electric equipment −15.46 % −5.92 % −15.56 % −6.59 % −15.38 % −6.29 %
Mechanical machinery −9.36 % −4.63 % −9.41 % −5.17 % −9.31 % −5.01 %
Vehicles −3.04 % −3.22 % −3.06 % −3.64 % −3.04 % −3.46 %

List of Global Gateway countries

Country code World region Country code World region
AGO Middle Africa MAR Northern Africa
ALB Southern Europe MAR Northern Africa
ARG South America MDA Eastern Europe
ARM Western Asia MDG Eastern Africa
BDI Eastern Africa MEX Central America
BEN Western Africa MKD Southern Europe
BGD Southern Asia MNG Eastern Asia
BRA South America MOZ Eastern Africa
BRB Caribbean MRT Western Africa
CHL South America MWI Eastern Africa
CIV Western Africa MYS Southeastern Asia
CMR Middle Africa NAM Southern Africa
COD Middle Africa NER Western Africa
COG Middle Africa NGA Western Africa
COL South America PAK Southern Asia
CPV Western Africa PAN Central America
CRI Central America PER South America
DJI Eastern Africa PHL Southeastern Asia
DOM Caribbean PNG Melanesia
ECU South America RWA Eastern Africa
EGY Northern Africa SEN Western Africa
ETH Eastern Africa SOM Eastern Africa
GEO Western Asia TCD Middle Africa
GHA Western Africa THA Southeastern Asia
GMB Western Africa TJK Central Asia
GNB Western Africa TUN Northern Africa
IDN Southeastern Asia TZA Eastern Africa
IND Southern Asia UGA Eastern Africa
IRQ Western Asia UKR Eastern Europe
ISR Western Asia URY South America
JAM Caribbean VNM Southeastern Asia
JOR Western Asia ZAF Southern Africa
JPN Eastern Asia ZMB Eastern Africa
KAZ Central Asia ZWE Eastern Africa
KEN Eastern Africa

Estimation results gravity model

Dependent variables
ln(tradebase materials) ln(trademechanical machinery)
Selection Outcome Selection Outcome
Estimate t-value Estimate t-value Estimate t-value Estimate t-value
Regressors
intercept −17.845 −39.283*** −36.027 −47.214*** −17.494 −29.609*** −42.256 −82.056***
ln(massi) 0.199 9.456*** 0.474 13.386*** 0.320 11.702*** 1.009 39.767***
ln(massj) 0.503 40.708*** 1.287 66.437*** 0.400 26.038*** 1.062 87.586***
ln(popi) 0.380 14.536*** 0.779 18.166*** 0.185 5.746*** 0.503 16.590***
ln(popj) −0.052 −3.670*** −0.020 −0.926 0.026 1.431 0.098 6.337***
ln(areai) 0.047 4.119*** 0.190 11.012*** 0.023 1.568 0.027 2.226*
ln(areaj) −0.051 −5.963*** −0.038 −3.039** −0.024 −2.228* −0.016 −1.709
ln(distij) −0.512 −23.583*** −1.431 −50.460*** −0.309 −11.371*** −0.909 −45.667***
bordij 3.014 0.091 1.096 5.756*** 3.026 0.057 1.543 10.545***
langij 0.187 3.229** 0.492 5.532*** 0.421 5.116*** 0.537 8.412***
colij 0.407 2.735** 1.428 11.366*** 0.866 2.557* 0.917 9.677***
ln(1+tariffijpt) −1.257 −4.171*** −3.932 −8.148*** −1.189 −3.327*** −0.134 −0.382
rtaijt 0.129 5.096*** 0.612 15.613*** 0.106 3.249** 0.281 9.797***
ln(transit) 0.592 8.004*** 1.864 14.892*** 0.750 8.301*** 1.448 16.022***
ln(ictit) 0.378 7.089*** 1.395 15.623*** 0.261 3.989*** 0.788 12.325***
ln(polit) 0.985 11.786*** 1.302 9.928*** 0.869 8.697*** 2.640 28.121***
ln(tradeburdit) −0.100 −14.328*** −0.171 −17.487*** −0.032 −3.313*** −0.187 −27.177***
ln(entryit) −0.089 −2.879** - - −0.073 −1.862 - -
year 2016 0.005 0.144 −0.101 −1.824 −0.015 −0.337 −0.065 −1.622
year 2017 −0.075 −2.055* −0.221 −3.945*** −0.076 −1.654 −0.117 −2.884**
year 2018 −0.061 −1.656 −0.108 −1.920 −0.060 −1.287 −0.142 −3.469***
year 2019 0.005 0.126 −0.213 −3.804*** 0.004 0.077 −0.164 −4.006***
mrijpt - - 0.753 7.064*** - - 0.937 8.586***
adj. R2 0.586 0.737
no. observations 25,626 25,626

Number of Global Gateway flagship projects launched by thematic area

Thematic area Projects launched
Year 2023 Year 2024
Energy & Climate 49 61
Transport 17 32
Digital sector 11 18
Health 7 14
Education & Research 3 14
Total 87 138

Results of Principal Component Analyses

Index: Transport (trans)
Eigenvectors
Variables Vector 1 Vector 2 Vector 3 Vector 4 Vector 5
quality of trade infrastructure 0.470 −0.174 0.279 −0.215 −0.791
access to electricity 0.466 −0.211 0.127 0.838 0.141
road quality 0.467 −0.189 0.416 −0.470 0.593
road network density 0.361 0.932 0.031 0.027 0.013
share of paved roads 0.462 −0.146 −0.856 −0.173 0.052
Contributions
eigenvalue 2.100 0.701 0.255 0.158 0.099
proportion of variance 0.882 0.098 0.013 0.005 0.002
cumulative proportion 0.882 0.980 0.993 0.998 1.000
Index: ICT (ict)
Eigenvectors
Variables Vector 1 Vector 2 Vector 3 Vector 4 Vector 5
broadband subscriptions 0.484 −0.060 0.315 0.650 −0.490
telephone subscriptions 0.465 −0.214 0.623 −0.580 0.117
internet users 0.486 −0.139 −0.254 0.321 0.760
mobile subscriptions 0.465 −0.210 −0.669 −0.351 −0.411
secure internet servers 0.312 0.942 −0.026 −0.121 0.016
Contributions
eigenvalue 2.016 0.825 0.430 0.225 0.132
proportion of variance 0.813 0.136 0.037 0.010 0.003
cumulative proportion 0.813 0.949 0.986 0.997 1.000
Index: Political-legal institutions (pol)
Eigenvectors
Variables Vector 1 Vector 2 Vector 3 Vector 4 Vector 5
control of corruption 0.453 −0.202 −0.732 0.313 −0.346
government effectiveness 0.460 −0.189 0.151 −0.791 −0.322
political stability 0.404 0.912 0.035 0.041 −0.041
regulatory quality 0.453 −0.257 0.655 0.520 −0.172
rule of law 0.463 −0.159 −0.105 −0.064 0.864
Contributions
eigenvalue 2.133 0.554 0.292 0.182 0.153
proportion of variance 0.910 0.061 0.017 0.007 0.005
cumulative proportion 0.910 0.972 0.989 0.995 1.000
Index: Administrative burden – trade (tradeburd)
Eigenvectors
Variables Vector 1 Vector 2 Vector 3 Vector 4
time to export: border compliance 0.503 −0.462 0.484 0.547
time to export: documentary compliance 0.505 0.424 0.506 −0.555
time to import: border compliance 0.497 −0.531 −0.530 −0.436
time to import: documentary compliance 0.494 0.570 −0.478 0.449
Contributions
eigenvalue 1.809 0.620 0.461 0.364
proportion of variance 0.818 0.096 0.053 0.033
cumulative proportion 0.818 0.914 0.967 1.000
Index: Administrative burden – business formation (entry)
Eigenvectors
Variables Vector 1 Vector 2 Vector 3
business formation: costs 0.537 0.823 −0.186
business formation: procedures 0.584 −0.522 −0.622
business formation: time 0.609 −0.225 0.761
Contributions
eigenvalue 1.509 0.704 0.476
proportion of variance 0.759 0.165 0.075
cumulative proportion 0.759 0.925 1