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Air Pollution and Migration in European Cities

Open Access
|Sep 2025

Figures & Tables

Estimations of basic models with interactions

(1.1)(1.2)(1.3)(1.4)(1.5)(1.6)
Air qualitv (OS)Air quality (HS)Air quality (OD)Air quality (HD)PM10PM2.5
Environmental variables0.036*0.075*–0.039*–0.033–0.081**–0.157**
(0.020)(0.042)(0.020)(0.021)(0.037)(0.078)
Models with interactions
(1.1.2)(1.2.2)(1.3.2)(1.4.2)(1.5.2)(1.6.2)
Environmental variables0.0420.090–0.046*–0.061**–0.073–0.122
(0.027)(0.061)(0.026)(0.030)(0.057)(0.138)
Dummy “East”7.801**7.473**4.7665.450**5.612*6.905
(3.741)(3.385)(3.118)(2.772)(3.403)(4.717)
Interactions “East” with envir. var.–0.030–0.0850.0340.073*–0.002–0.025
(0.041)(0.085)(0.040)(0.043)(0.081)(0.172)
Countryyesyesyesyesyesyes
Observations326326326326277210
Overall R20.39260.39020.39400.39320.38740.3697
(1.1.4)(1.2.4)(1.3.4)(1.4.4)(1.5.4)(1.6.4)
Environmental variables0.0240.062*–0.028–0.031–0.063–0.186**
(0.024)(0.037)(0.023)(0.029)(0.042)(0.087)
Dummy “Capital City”–0.0270.6613.3201.6942.603–0.082
(1.746)(1.299)(2.731)(1.631)(2.541)(3.287)
Interactions “Capital City” with envir. var.0.0360.084–0.032–0.009–0.0350.160
(0.041)(0.119)(0.040)(0.043)(0.081)(0.146)
Countryyesyesyesyesyesyes
Observations326326326326277210
Overall R20.38290.37910.38430.37610.38090.3676
(1.1.6)(1.2.6)(1.3.6)(1.4.6)(1.5.6)(1.6.6)
Environmental variables0.0400.104**–0.041*–0.031–0.079**–0.147*
(0.024)(0.052)(0.024)(0.025)(0.039)(0.087)
Dummy “Seaside City”–2.261–1.540–2.151–1.6110.217–0.628
(2.044)(1.373)(2.031)(1.314)(3.201)(3.077)
Interactions “Seaside City” with envir. var.–0.001–0.052–0.004–0.030–0.120–0.137
(0.039)(0.074)(0.038)(0.043)(0.123)(0.201)
Countryyesyesyesyesyesyes
Observations326326326326277210
Overall R20.38480.38060.38610.37950.38630.3655

Results of principal-component factors method

FactorEigenvalueDifferenceProportionCumulative
Factor 14.112093.194480.58740.5874
Factor 20.917610.365850.13110.7185
Factor 30.551760.004390.07880.7974
Factor 40.547370.127920.07820.8755
Factor 50.419450.149560.05990.9355
Factor 60.269890.088050.03860.9740
Factor 70.18183.0.02601.0000

Results of factor analysis – rotated factor loadings (pattern matrix) and unique variances

Variable (OS)Factor 1 (PS)Uniqueness
Public transport0.81360.3380
Health care services0.68150.5355
Sport facilities0.78680.3810
Cultural facilities0.78130.3895
Green spaces0.87720.2306
Cleanliness0.76430.4158
Personal feeling of safety0.63440.5975

Model estimations (dependent variable: the net migration per 1000 inhabitants in year t)

(1.1)(1.2)(1.3)(1.4)(1.5)(1.6)(1.7)(1.8)(1.9)
Air qualitv (OS)Air quality (HS)Air quality (OD)Air quality (HD)PM10PM2.5SO2NO2BaP
Environmental variables0.036*0.075*:–0.039*–0.033–0.081**–0.157**0.175–0.092–0.722*
(0.020)(0.042)(0.020)(0.021)(0.037)(0.078)(0.140)(0.057)(0.437)
Public services0.6560.7910.6160.8061.394*1.8560.8881.472**1.691
(0.633)(0.625)(0.638)(0.661)(0.789)(1.145)(0.852)(0.748)(1.202)
Labor market0.147***0.152***0.148***0.145***0.126***0.096***0.153***0.150***0.108**
(0.025)(0.025)(0.025)(0.024)(0.025)(0.035)(0.033)(0.027)(0.044)
Countryyesyesyesyesyesyesyesyesyes
Constant1.3821.9614.9683.8106.028*7.671*1.1685.931*5.092
(2.276)(2.336)(3.390)(3.016)(3.450)(4.429)(2.758)(3.344)(3.484)
Overall R20.37180.36730.37290.36610.36930.35390.36770.36460.4068
Observations326326326326277210227288126
Number of cities707070706862586842

Multicollinearity test (VIF), dependent variable: the net migration per 1000 inhabitants in year t

(1.1)(1.2)(1.3)(1.4)(1.5)(1.6)(1.7)(1.8)(1.9)
Air quality (OS)Air quality (HS)Air quality (OD)Air quality (HD)PM10PM2.5SO2NO2BaP
Environmental variable1.701.721.751.571.812.341.791.752.61
Public services3.012.873.022.932.702.812.782.623.11
Labor market1.761.841.761.731.751.831.781.881.87

Estimations of basic models with dummy variables

(1.1)(1.2)(1.3)(1.4)(1.5)(1.6)
Air qualitv (OS)Air quality (HS)Air quality (OD)Air quality (HD)PM10PM2.5
Environmental variables0.036*0.075*–0.039*–0.033–0.081**–0.157**
(0.020)(0.042)(0.020)(0.021)(0.037)(0.078)
Models with dummy variables
(1.1.1)(1.2.1)(1.3.1)(1.4.1)(1.5.1)(1.6.1)
Environmental variables0.0330.061–0.036*–0.031–0.074**–0.136*
(0.020)(0.043)(0.020)(0.021)(0.037)(0.081)
Dummy “East”5.518*5.2285.501*5.844**5.566**6.568
(2.924)(3.449)(2.935)(2.793)(2.828)(4.577)
Countryyesyesyesyesyesyes
Observations326326326326277210
Overall R20.38840.38300.38940.38460.38750.3698
(1.1.3)(1.2.3)(1.3.3)(1.4.3)(1.5.3)(1.6.3)
Environmental variables0.039*0.084*–0.042**–0.036*–0.072**–0.143*
(0.021)(0.045)(0.021)(0.021)(0.036)(0.074)
Dummy “Capital City”1.6041.6061.6291.4761.7752.323
(1.071)(1.101)(1.068)(1.068)(1.215)(1.618)
Countryyesyesyesyesyesyes
Observations326326326326277210
Overall R20.38340.37840.38480.37660.38150.3682
(1.1.5)(1.2.5)(1.3.5)(1.4.5)(1.5.5)(1.6.5)
Environmental variables0.040**0.086**–0.043**–0.038*–0.102***–0.177**
(0.020)(0.040)(0.020)(0.021)(0.037)(0.077)
Dummy “Seaside City”–2.327***–2.369***–2.343***–2.236***–2.650***–2.516**
(0.795)(0.762)(0.797)(0.823)(1.017)(1.100)
Countryyesyesyesyesyesyes
Observations326326326326277210
Overall R20.38480.38050.38600.37820.38620.3648
DOI: https://doi.org/10.2478/revecp-2025-0001 | Journal eISSN: 1804-1663 | Journal ISSN: 1213-2446
Language: English
Page range: 1 - 14
Published on: Sep 8, 2025
Published by: Mendel University in Brno
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2025 Jakub Vontroba, Daniel Pakši, Vojtěch Koňařík, published by Mendel University in Brno
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.