The present study examines the causal nexus between tourist inflows and corruption in Brazil and Mexico. Multivariate cointegrated error-correction models are employed to assess the bi-directional nature of short- and long-run Granger-causality. Our results support the contention that causality between tourist inflows and corruption is significantly bidirectional, both in the short- and long-run. Although long-run causality between the variables is significantly bidirectional in Mexico, short-run causality is only unidirectional from tourist inflows to corruption without feedback. A prolonged productive cycle of “sanding the wheels” is supported in Brazil whereby less corruption causes higher tourist inflows and in turn, lowers corruption.
AhkingFWMillerSM (1985) The relationship between government deficits, money growth, and inflation. Journal of Macroeconomics7(4): 447–467.
2.
AlegreJMateoSPouL (2013) Tourism participation and expenditure by Spanish households: the effects of the economic crisis and unemployment. Tourism Management39: 37–49.
3.
AlolaUVAlolaAAAvciT, et al. (2021) Impact of corruption and insurgency on tourism performance: a case of a developing country. International Journal of Hospitality & Tourism Administration22(4): 412–428.
4.
ArltováMFedorováD (2016) Selection of unit root test on the basis of length of the time series and value of AR (1) parameter. Statistika96(3): 47–64.
5.
AvrahamE (2020) Nation branding and marketing strategies for combating tourism crises and stereotypes toward destinations. Journal of Business Research116: 711–720.
6.
AzimMIKluversR (2019) Resisting corruption in grameen bank. Journal of Business Ethics156(3): 591–604.
7.
BabatundeOSIkughurAJOgunmolaAO, et al. (2014) On the effect of autocorrelation in regression model due to specification error. International Journal of Modern Mathematical Sciences10(3): 239f–246.
8.
BrinksDMLevitskySMurilloMV (2019) Understanding Institutional Weakness: Power and Design in Latin American Institutions. Cambridge University Press.
9.
CanacheDAllisonME (2005) Perceptions of political corruption in Latin American democracies. Latin American Politics and Society47(3): 91–111.
10.
CastroAAnsariS (2017) Contextual “readiness” for institutional work. A study of the fight against corruption in Brazil. Journal of Management Inquiry26(4): 351–365.
11.
ChowGC (1960) Tests of equality between sets of coefficients in two linear regressions. Econometrica28(3): 591–605.
DasJDirienzoC (2010) Tourism competitiveness and corruption: a cross-country analysis. Tourism Economics16(3): 477–492.
14.
de Oliveira SantosGEGiraldiJDME (2017) Reciprocal effect of tourist destinations on the strength of national tourism brands. Tourism Management61: 443–450.
15.
De VitaG (2014) The long-run impact of exchange rate regimes on international tourism flows. Tourism Management45: 226–233.
16.
DemirEGozgorG (2017) What about relative corruption? The impact of the relative corruption on the inbound tourism to Turkey. International Journal of Tourism Research19(3): 358–366.
17.
DetottoCGiannoniSGoavecC (2021) Does good governance attract tourists?Tourism Management82: 104155.
18.
DossouTAMNdomandji KambayeEBekunFV, et al. (2021) Exploring the linkage between tourism, governance quality, and poverty reduction in Latin America. Tourism Economics29(1): 210–234.
19.
EkineS (2018) Corruption and tourism: evidence from democracies and non-democracies. Issues in Political Economy27(1): 47–59.
20.
EndersW (2015) Applied Econometric Time Series. 4th edition. Wiley Publishers.
21.
FetscherinM (2010) The determinants and measurement of a country brand: the country brand strength index. International Marketing Review27(4): 466–479.
22.
FilgueirasFPalottiPTestaGG (2023) Complexing governance styles: connecting politics and Policy in governance theorie. Sage Open13(1): 21582440231158521.
23.
GonzaloJ (1994) Five alternative methods of estimating long-run equilibrium relationships. Journal of Econometrics60(1-2): 203–233.
24.
GöymenK (2000) Tourism and governance in Turkey. Annals of Tourism Research27(4): 1025–1048.
25.
GozgorGOnganS (2017) Economic policy uncertainty and tourism demand: empirical evidence from the USA. International Journal of Tourism Research19(1): 99–106.
26.
GozgorGLauCKMZengY, et al. (2019) The effectiveness of the legal system and inbound tourism. Annals of Tourism Research76: 24–35.
27.
GrangerCWJ (1986) Developments in the study of cointegrated economic variables. Oxford Bulletin of Economics & Statistics48(3): 213–228.
28.
GrangerCWJ (2004) Time series analysis, cointegration, and applications. The American Economic Review94(3): 421–425.
29.
HarrisRI (1995) Using Cointegration Analysis in Econometric Modelling. Prentice Hall.
30.
HendryDFDoornikJA (2014) Empirical Model Discovery and Theory Evaluation: Automatic Selection Methods in Econometrics. MIT Press.
31.
HuntingtonSP (1968) Political Order in Changing Societies. Yale University Press.
32.
JohansenS (1988) Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control12(2-3): 231–254.
33.
JohansenS (1991) Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models. Econometrica59(6): 1551–1580.
Krambia-KapardisMStylianouIDimitriouS (2022) Nonlinear nexus between corruption and tourism arrivals: a global analysis. Empirical Economics Journal63(4): 1997–2024.
36.
LeffNH (1964) Economic development through bureaucratic corruption. American Behavioral Scientist8(3): 8–14.
37.
LohmannGLoboHASTrigoLGG, et al. (2021) Tourism in Brazil: from politics, social inequality, corruption, and violence towards the 2030 Brazilian tourism agenda. Tourism Review77(1): 72–96.
LvZXuT (2017) A panel data quantile regression analysis of the impact of corruption on tourism. Current Issues in Tourism20(6): 603–616.
40.
LyrioMVLLunkesRJTalianiETC (2018) Thirty years of studies on transparency, accountability, and corruption in the public sector: the state of the art and opportunities for public research. Public Integrity20: 512–533.
41.
MaddalaGS (1992) Introduction to Econometrics, 2nd Ed. Macmillan.
42.
MariaKKIoannaSSalomiD (2022) Nonlinear nexus between corruption and tourism arrivals: a global analysis. Empirical Economics63(4): 1997–2024.
43.
MartinsLFGanYFerreira-LopesA (2017) An empirical analysis of the influence of macroeconomic determinants on world tourism demand. Tourism Management61: 248–260.
44.
MicevskiMDiamantopoulosAErdbrüggerJ (2021) From country stereotypes to country emotions to intentions to visit a country: implications for a country as a destination brand. The Journal of Product and Brand Management30(1): 118–131.
45.
MingYLiuN (2021) Political uncertainty in the tourism industry: evidence from China’s anti-corruption campaign. Current Issues in Tourism24(18): 2573–2587.
46.
MonterrubioC (2022) The informal tourism economy, COVID-19 and socioeconomic vulnerability in Mexico. Journal of Policy Research in Tourism, Leisure and Events14(1): 20–34.
47.
MottaV (2017) The impact of crime on the performance of small and medium-sized enterprises: evidence from the service and hospitality sectors in Latin America. Tourism Economics23(5): 993–1010.
48.
MyrdalG (1968) Asian Drama: An Inquiry into the Poverty of Nations. Pantheon, Vol. I.
49.
OforiIKDossouTAMAkadiriSS (2023) Towards the quest to reduce income inequality in Africa: is there a synergy between tourism development and governance?Current Issues in Tourism26(3): 429–449.
50.
OsinubiTTOsinubiOBTabashMI, et al. (2022) The impact of corruption on tourism sector in Nigeria: empirical insights by using an autoregressive lag bounds (ARDL) testing approach. International Journal of Hospitality & Tourism Administration23(6): 1125–1144.
PauloLDDLimaRCDATigreR (2022) Corruption and economic growth in Latin America and the Caribbean. Review of Development Economics26(2): 756–773.
53.
PintoPMZhuB (2016) Fortune or evil? The effect of inward foreign direct investment on corruption. International Studies Quarterly60(4): 693–705.
54.
PopraweM (2015) A panel data analysis of the effect of corruption on tourism. Applied Economics47(23): 2399–2412.
55.
Ramírez de la CruzEEGrinEJSanabria‐PulidoP, et al. (2020) The transaction costs of government responses to the COVID-19 emergency in Latin America. Public Administration Review80(4): 683–695.
56.
SahaSYapG (2014) The moderation effects of political instability and terrorism on tourism development: a cross-country panel analysis. Journal of Travel Research53(4): 509–521.
57.
SahaSYapG (2015) Corruption and tourism: an empirical investigation in a non‐linear framework. International Journal of Tourism Research17(3): 272–281.
TreismanD (2000) The causes of corruption: a cross-national study. Journal of Public Economics76(3): 399–457.
69.
TzeremesP (2022) Analyzing the linkage between total factor productivity and tourism growth in Latin American countries. Journal of Economics, Finance and Administrative Science27(54): 219–230.
XuCYangYDossouTAM, et al. (2023) Does corruption undermine tourism development in Africa?Current Issues in Tourism26(11): 1779–1796.
75.
YapGSahaS (2013) Do political instability, terrorism, and corruption have deterring effects on tourism development Even in the presence of UNESCO heritage? A cross-country panel estimates. Tourism Analysis18(5): 587–599.
76.
YilanciVHopoğluSEryüzlüH (2023) The impact of the economic policy uncertainty and geopolitical risks on tourism demand of Mexico. Theoretical and Applied Economics30: 147–164.
77.
ZellnerA (1979) Causality and econometrics. In: BrunnerKMeltzerA (eds) Three Aspects of Policy and Policymaking: Knowledge, Data and Institutions. North-Holland Publishing Company.
