2019
DOI: 10.30519/ahtr.484287
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The Empirical Evidence on Tourism-Urbanization-CO2 Emissions Nexus

Abstract: This study explores the tourism-urbanization-CO2 emissions nexus in the top 10 touristic destination over the period 1995-2016. Panel VAR methodology is employed. The findings of bivariate VAR models suggest the urbanization (UP) to have a significant positive response to the tourism receipts per capita (TR) as well as the negative response of the UP to the emissions of CO2. The outcome of trivariate model suggests a significant positive response of UP to its lagged value. However, tourism receipts per capita … Show more

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Cited by 39 publications
(17 citation statements)
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“…Therefore, the study suggests, "the policy-makers should put higher attention to reduce pollution" (Shakouri et al, 2017). Lastly, the policy makers should focus on "promoting the development of sustainable tourism since the environment-friendly tourism is suggested to be the only acceptable one" (Satrovic & Muslija, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the study suggests, "the policy-makers should put higher attention to reduce pollution" (Shakouri et al, 2017). Lastly, the policy makers should focus on "promoting the development of sustainable tourism since the environment-friendly tourism is suggested to be the only acceptable one" (Satrovic & Muslija, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, one should be very careful while interpreting the results of the panel VAR model. This is due to the fact that variables are interdependent in the model (Satrovic and Muslija, 2019). Thereby, the estimated coefficients provide very limited information on the reaction to the innovations or shock.…”
Section: Methodsmentioning
confidence: 99%
“…To better understand the dynamic interaction of the four endogenous variables of interest, we adopt a recent multivariate econometric technique, PVAR analysis that is proposed in Sims (1980) and enables to deal with the difference among units (Satrovic & Muslija, 2019). More specifically, we consider a four-variate homogeneous panel VAR of order p using a GMM estimator to eliminate country-fixed and time effects.…”
Section: Pvar Analysismentioning
confidence: 99%