Footnote:
In: ASIA PACIFIC JOURNAL OF TOURISM RESEARCH, 2018, Vol. 23, No. 4, doi/10.1080/10941665.2018.1445652
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 20, 2018 erstellt
Description:
This study scrutinized the asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan using nonlinear autoregressive distributed lag (NARDL) model. The NARDL bounds test examined the existence of cointegration in study variables, including CO2 emissions, institutional quality, oil prices, exchange rate, inflation, and tourism demand. The evidence proposes that disregarding the intrinsic nonlinearities may misinform inference. The estimated NARDL model affirmed long-run negative and significant effect of CO2 emissions on tourism demand, while institutional quality was positively associated with tourism demand. Furthermore, the findings of the study also suggested long-run asymmetric relationship between oil prices, exchange rate, inflation, and tourism demand