Abstract
This study aims to examine the interaction among tourism revenue (TOV), the real exchange rate (REX), and economic development in Vietnam throughout 1995–2019. Using the bivariate and multivariate wavelet frameworks, we examine the lead–lag connectedness, co-movement and dynamic associations between these indicators across various time and frequency domains. By doing so, we employ wavelet transform coherence (WTC), cross-wavelet transform (XWT), partial wavelet coherence (PWC) and multiple wavelet coherence (MWC) frameworks. The findings indicate low covariance but a positive and robust nexus between tourism demand (TOV), economic growth (gross domestic product (GDP)), and the REX in the time–frequency space. In the long run, interdependence between variables is primarily negative and weak. The outcomes of PWC and MWC reveal that REX and GDP determinants affect the TOV–GDP and TOV–REX relationships under different frequencies, respectively. These results are of interest and significance to the Vietnamese government and policymakers as the outcomes have important implications for informing their decision-making.
