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Regional Economic Integration and Its Impact on Income Distribution and the Poverty Level: The Case of the WAEMU Zone Cover

Regional Economic Integration and Its Impact on Income Distribution and the Poverty Level: The Case of the WAEMU Zone

Open Access
|Jun 2022

Figures & Tables

Fig. 1

GDP per capita.Source: authors’ computation.
GDP per capita.Source: authors’ computation.

Fig. 2

Regional economic integration index.Source: authors’ computation.
Regional economic integration index.Source: authors’ computation.

Fig. 3

Poverty headcount rate.Source: authors’ computation.
Poverty headcount rate.Source: authors’ computation.

Heterogeneous panel causality test results_

lnPOVGINIREIlnREMlnGDPCCPOP
lnPOV −0.5599 (0.5756)2.0470** (0.0407)0.4123 (0.6801)1.1441 (0.2526)−0.3039 (0.7612)0.6270 (0.5307)
GINI0.6428 (0.5204) −0.4899 (0.6242)0.8665 (0.3862)0.3513 (0.7254)−0.6080 (0.5432)−0.1381 (0.8902)
REI3.1594*** (0.0016)2.7527*** (0.0059) 3.8692*** (0.0000)0.5314 (0.5951)−0.5156 (0.6061)0.9304 (0.3522)
lnREM2.7370*** (0.0062)0.9483 (0.3430)2.2553** (0.0241) 2.6512*** (0.0080)3.2922*** (0.0010)−0.1016 (0.9191)
lnGDP2.3861** (0.0170)0.9317*** (0.0000)2.5827*** (0.0098)2.8435*** (0.0045) −0.1012 (0.9033)2.7147*** (0.0066)
CC−0.5047 (0.6138)2.9592*** (0.0031)1.6822* (0.0925)2.2788** (0.0227)1.8482* (0.0646) 1.2308 (0.2184)
POP6.2131*** (0.0000)3.6573*** (0.0003)2.7282*** (0.0064)4.6874*** (0.0000)2.7159*** (0.0066)2.2000** (0.0278)

Descriptive statistics_

VariablesPOVGINIREIREMGDPCCPOP
Mean53.61222.0590.0003.689779.831−0.6632.840
Median54.46824.288−0.0622.559648.281−0.6762.798
Maximum92.84749.9005.40810.7111,692.5450.1763.907
Minimum10.029−28.100−4.5830.226322.778−1.5631.912
Std. Dev.16.81818.4211.2242.823351.1960.3810.449
Skewness−0.193−0.0640.2540.9590.6010.0740.558
Kurtosis2.8821.3115.8102.7122.1282.5413.073
Jarque-Bera1.35523.911***67.976***31.370***18.363***1.93510.411***
Probability0.5080.0000.0000.0000.0000.3800.005

Principal component analysis details_

NumberValueDifferenceProportionCumulative valueCumulative proportion
Panel A: Eigen values of the observed matrix
11.4910.4900.3731.4910.373
21.0010.1710.2502.4920.623
30.8310.1530.2083.3230.831
40.6770.1694.0001.000
Panel B: Eigenvectors (loadings)
VariablePC1PC2PC3PC4
REI10.5580.4480.173−0.677
REI20.5500.398−0.4040.613
REI30.483−0.4160.7080.304
REI4−0.3910.6840.5520.272
Panel C: Ordinary correlations
REI1REI2REI3REI4
REI11.000
REI20.2971.000
REI30.1780.1191.000
REI4−0.064−0.121−0.1861.000

VIF results_

VariablesVIF1/VIF
POP2.140.467
REI1.750.572
GDP1.680.595
CC1.480.676
GINI1.370.727
REM1.340.747
Mean VIF1.63

PMG estimation results_

VariablesGINI indexPoverty headcount
CoefficientStd. err.CoefficientStd. err.
Short run
ECT−0.760***0.1310.06970.0971
ΔlnPOV(−1)0.510***0.0369
ΔREI−0.1760.1370.1620.121
ΔEI(−1) −0.1290.0993
ΔGINI−0.01910.0354
ΔGINI(−1)0.01380.0174
ΔlnREM−0.4700.487−0.2630.171
ΔlnREM(−1)0.3380.222
ΔlnGDP45.44**20.92−1.4561.114
ΔCC1.509**0.6950.09100.194
ΔPOP9.7808.824−0.8800.702
ΔPOP (−1)0.9311.396
Constant9.221**4.7000.1280.108
Long run
REI0.0684*0.0367−0.0761***0.0224
GINI−0.0475***0.0111
lnREM−0.03080.0590.172***0.0439
lnGDP0.1380.2110.549***0.204
CC−0.08040.1540.126**0.0643
POP0.753***0.1321.136***0.213
Number of observation192184

Time-series analysis results based on the DOLS method_

CountriesBeninBurkina FasoCôte d’IvoireGuinea-BissauMaliNigerSenegalTogo
GINIPOVGINIPOVGINIPOVGINIPOVGINIPOVGINIPOVGINIPOVGINIPOV
REI21.72*** (0.404)−0.410*** (0.0778)13.70*** (0.504)−0.0439 (0.0610)37.51*** (0.218)8.256*** (0.0426)−27.39*** (1.284)−1.738*** (0.0427)−20.88*** (0.639)3.868*** (0.0848)−4.117*** (0.331)−0.0763*** (0.0125)−6.574*** (0.773)4.694*** (0.0930)0.889*** (0.0629)0.0473*** (0.00293)
GINI0.434*** (0.0261)0.0161 (0.0101)−0.0378** (0.0158)0.0118*** (0.00398)−0.0750*** (0.00875)0.210*** (0.00354)0.961*** (0.0101)−0.0615*** (0.00318)
lnREM3.935*** (0.574)0.430*** (0.131)−25.24*** (0.729)0.490*** (0.0755)−11.50*** (1.060)−9.812*** (0.217)47.94*** (1.891)3.426*** (0.0643)524.8*** (0.886)−2.416*** (0.128)−18.06*** (1.013)0.452*** (0.0384)−16.40*** (0.710)−14.39*** (0.0851)−0.405*** (0.130)0.246*** (0.00541)
lnGDP−336.6*** (4.239)−5.705*** (0.952)11.89*** (2.466)−1.061*** (0.258)96.68*** (2.409)4.606*** (0.470)180.7*** (11.51)−0.817* (0.429)−1,490*** (3.473)−0.0993 (0.507)13.76** (6.074)−1.598*** (0.248)82.09*** (3.111)−3.765*** (0.383)16.14*** (1.195)0.421*** (0.0520)
CC82.29*** (1.202)−1.150*** (0.235)−1.217 (2.310)1.367*** (0.243)16.78*** (0.995)4.571*** (0.192)110.2*** (6.415)5.054*** (0.214)451.2*** (2.953)−1.850*** (0.383)42.24*** (3.598)−3.687*** (0.138)12.12*** (0.726)−8.876*** (0.0846)9.481*** (0.951)0.00849 (0.0399)
POP−152.2*** (1.578)9.313*** (0.306)−186.1*** (7.143)5.575*** (0.770)−106.6*** (0.722)−12.98*** (0.138)56.74*** (5.049)3.464*** (0.181)−566.3*** (1.891)2.314*** (0.252)51.68*** (6.414)2.547*** (0.244)1.946* (1.087)20.10*** (0.133)6.701*** (0.332)1.271*** (0.0142)

Cross-sectional dependence results_

Breusch-Pagan LMPesaran scaled LMPesaran CD
lnPOV85.085***7.628***0.760
GINI66.641***5.163***−0.270
REI144.761***15.602***8.739***
lnREM223.665***26.146***2.875***
lnGDP276.497***33.206***12.214***
CC116.811***11.867***−0.423
POP278.034***33.412***−0.801

Definition and data sources_

Variable nameSymbolDefinitionUnitSource
PovertyPOVIt is a situation where someone lacks the necessary resource he/she needs.%World Development Indicators and POVCALNET
Income inequalityGINIIt measures the distribution of wellbeing.IndexWorld Development Indicators and Standardized World Income Inequality Database (Solt 2019).
RemittancesREMIt is the sum of money sent by migrants to their families at home or for saving.%World Development Indicators
Control of corruptionCCIt is the extent to which public officers use public power/resource for private gain. A higher value indicates a high level of corruption.IndexWorldwide Governance Indicators
Gross domestic product per capitaGDPIt is the gross domestic product divided by population.Constant 2010 US$World Development Indicators
Population growthPOPIt is the annual growth rate of the population.%World Development Indicators
Regional economic integrationREIIt is measured with trade liberalisation (% of GDP), foreign direct investment (% of GDP), migration flow (%) and inflation rate (%, CPI).IndexWorld Development Indicators, UNCTAD statistics database, United Nations Population Division

Panel unit root test results_

VariablesCIPSCADF
LevelFirst differenceLevelFirst difference
lnPOV−3.417***−5.345***−3.017**−3.970***
GINI−4.849***−6.420***−3.129***−4.710***
REI−2.959**−5.540***−2.446−4.277***
lnREM−1.727−3.885***−1.948−3.322***
lnGDP−2.142−4.587***−2.547−3.856***
CC−2.174−4.565***−2.031−3.417***
POP−4.263***−4.937***−5.180***−5.568***
Critical values1%: −3.15%: −2.8610%: −2.731%: −3.1005%: −2.86010%: −2.730

Correlation results

POVGINIREIREMGDPCCPOP
POV1.000
GINI−0.2561.000
REI−0.2140.2391.000
REM−0.070−0.1750.2221.000
GDP−0.4860.2040.1470.0381.000
CC−0.0230.181−0.021−0.0280.2871.000
POP0.210−0.1410.297−0.183−0.3810.2101.000

Westerlund panel cointegration test results_

StatisticsValueZ-valueP valueRobust P value
Income distribution equation
Gt−30.138−83.3230.0000.000
Ga−7.6103.5761.0000.380
Pt−42.230−34.4920.0000.000
Pa−7.1642.6700.9960.460
Poverty equation
Gt−4.010−2.5600.0050.010
Ga−2.3505.5131.0001.000
Pt−10.378−2.0350.0210.020
Pa−1.9864.6391.0000.980
DOI: https://doi.org/10.2478/quageo-2022-0014 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 21 - 35
Submitted on: Sep 12, 2021
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Published on: Jun 24, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2022 Claire E. W. Yameogo, Joseph A. Omojolaibi, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.