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The Asymmetric Impacts of Crude Oil Prices, Inflation, the Exchange Rate, Institutional Quality, and Trade Balance on Tourist Arrivals in Bangladesh: A Nonlinear ARDL Model Approach
Author(s) -
Rehana Parvin
Publication year - 2022
Publication title -
pertanika journal of science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.174
H-Index - 15
eISSN - 2231-8526
pISSN - 0128-7680
DOI - 10.47836/pjst.30.1.43
Subject(s) - distributed lag , exchange rate , economics , balance of trade , tourism , inflation (cosmology) , autoregressive model , balance (ability) , econometrics , nonlinear system , quality (philosophy) , monetary economics , macroeconomics , geography , medicine , philosophy , physics , archaeology , epistemology , quantum mechanics , theoretical physics , physical medicine and rehabilitation
The nonlinear interaction of oil prices, inflation, the exchange rate, institutional quality, and trade balance on tourist arrivals in Bangladesh is scrutinized in this study. The technique utilized in this study, Nonlinear Autoregressive Distributed Lag (NARDL), is a novel co-integrating strategy. The yearly time series data used in this study spanned 1995 to 2019. The NARDL bound test is performed to assess if variables like oil prices, inflation, the exchange rate, institutional quality, and trade balance on tourist arrivals are co-integrated. Oil prices and exchange rates, according to the findings, have a long-run negative and significant impact on tourism demand, whereas improvements in institutional quality are positively associated with tourist arrivals. Moreover, the study’s findings revealed a nonlinear kinship between the trade balance, inflation, and tourism demand across time. The asymmetric results obtained could enable Bangladeshi policymakers to make more precise decisions.

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