TY - JOUR
T1 - Tourism development and environmental degradation in the United States
T2 - evidence from wavelet-based analysis
AU - Raza, Syed Ali
AU - Sharif, Arshian
AU - Wong, Wing Keung
AU - Karim, Mohd Zaini Abd
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/12/10
Y1 - 2017/12/10
N2 - The recent literatures indicate that the tourism development (TD) has significant influence over the environmental degradation of both high-tourist-arrival and low-tourist-arrival countries. This study investigates the empirical influence of TD on environmental degradation in a high-tourist-arrival economy (i.e. United States), using the wavelet transform framework. This new methodology enables the decomposition of time-series at different time–frequencies. In this study, we have used maximal overlap discrete wavelet transform (MODWT), wavelet covariance, wavelet correlation, continuous wavelet power spectrum, wavelet coherence spectrum and wavelet-based Granger causality analysis to analyse the relationship between TD and CO2 emission in the United States by using the monthly data from the period of 1996(1) to 2015(3). Results indicate that TD is majorly having the positive influence over CE in short, medium and long run. We find the unidirectional influence of TD on CE in short run, medium and long run in the United States.
AB - The recent literatures indicate that the tourism development (TD) has significant influence over the environmental degradation of both high-tourist-arrival and low-tourist-arrival countries. This study investigates the empirical influence of TD on environmental degradation in a high-tourist-arrival economy (i.e. United States), using the wavelet transform framework. This new methodology enables the decomposition of time-series at different time–frequencies. In this study, we have used maximal overlap discrete wavelet transform (MODWT), wavelet covariance, wavelet correlation, continuous wavelet power spectrum, wavelet coherence spectrum and wavelet-based Granger causality analysis to analyse the relationship between TD and CO2 emission in the United States by using the monthly data from the period of 1996(1) to 2015(3). Results indicate that TD is majorly having the positive influence over CE in short, medium and long run. We find the unidirectional influence of TD on CE in short run, medium and long run in the United States.
KW - discrete wavelet analysis
KW - environmental degradation
KW - tourism development
KW - United States
KW - wavelet coherence
UR - http://www.scopus.com/inward/record.url?scp=84976253668&partnerID=8YFLogxK
U2 - 10.1080/13683500.2016.1192587
DO - 10.1080/13683500.2016.1192587
M3 - Journal article
AN - SCOPUS:84976253668
SN - 1368-3500
VL - 20
SP - 1768
EP - 1790
JO - Current Issues in Tourism
JF - Current Issues in Tourism
IS - 16
ER -
