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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.

Fig. 2

Regional economic integration index.

Source: authors’ computation.

Fig. 3

Poverty headcount rate.

Source: authors’ computation.

Table 1

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

[i] Source: authors’ compilations.

Table 2

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

Note:

*** indicates significance at 1% level.

Source: authors’ compilations.

Table 3

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

[i] Source: authors’ compilations.

Table 4

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

[i] Source: author's compilations.

[ii] VIF – Variance Inflation Factor.

Table 5

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

Note:

*** indicates significance at 1% level.

Source: authors’ compilations.

Table 6

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%: −3.1
5%: −2.86
10%: −2.73
1%: −3.100
5%: −2.860
10%: −2.730

[i] Note:

[ii] *** and ** indicate significance at 1%, and 5% levels, respectively. A constant and a trend are included in the tests. The results are reported at lag 1 except for population growth that used 2 lags.

[iii] Source: authors’ compilations.

Table 7

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

[i] Note: A constant and a trend are used with 0 lag and 0 lead.

[ii] Source: authors’ compilations.

Table 8

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

[i] Note:

[ii] ***, ** and * indicate significance at 1%, 5%, and 10% levels, respectively. The optimum lag length is selected through SIC criterion. Income distribution lag length is (1 0 0 1 0 0), and those for poverty is (2 2 2 2 0 0 2).

[iii] Source: authors’ compilations.

Table 9

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)

[i] Note:

[ii] ***, ** and * indicate significance at 1%, 5%, and 10% levels, respectively. () indicates standard errors of the variables.

[iii] Source: authors’ compilations.

Table 10

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)

[i] Note:

[ii] ***, ** and * show significance at the 1%, 5%, and 10% levels, respectively. Optimum lag length is selected through SIC criterion.

[iii] Source: authors’ compilations.

Table 11

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

[i] Source: authors’ compilations.

DOI: https://doi.org/10.2478/quageo-2022-0014 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)
Language: English
Page range: 21 - 35
Submitted on: Sep 12, 2021
Published on: Jun 24, 2022
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
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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.