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Dynamic modelling of inter‐relationship between tourism, energy consumption, CO 2 emissions and economic growth in South Asia
Author(s) -
Selvanathan Eliyathamby A.,
Jayasinghe Maneka,
Selvanathan Saroja
Publication year - 2020
Publication title -
international journal of tourism research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.155
H-Index - 58
eISSN - 1522-1970
pISSN - 1099-2340
DOI - 10.1002/jtr.2429
Subject(s) - tourism , gross domestic product , consumption (sociology) , distributed lag , panel data , energy consumption , economics , real gross domestic product , autoregressive model , natural resource economics , economy , econometrics , macroeconomics , geography , ecology , social science , archaeology , sociology , biology
Tourism is an important economic driver and plays a critical role in the economic development of South Asian countries. However, tourism also brings about some inevitable consequences on the environmental quality of these countries. Using the Autoregressive Distributed Lags, Vector Error‐Correction Model and Panel frameworks, we investigate the inter‐relationships between tourism, energy consumption, CO 2 emissions and gross domestic product (GDP) in South Asia, using data for the period 1990–2014. We find that, in the long‐run, tourism positively contributes to GDP, CO 2 emissions and to the demand for energy; an increase in GDP improves tourism; and an increase in CO 2 levels is not a deterrent for tourists to visit South Asia.