This study aims to examine the determinants affecting tourism demand in Macau. Macau is highly dependent on the tourism and gambling industry, and its economic activities are almost fully controlled by these industries. To ensure the sustainable growth of the tourism industry in Macau, it is crucial to identify the factors influencing its tourism demand. A panel regression covering quarterly data of ten major tourist-generating countries from 2010Q1 to 2019Q4 has been employed in this study. The selected determinants include income level of origin countries, transportation cost, and exchange rate. The empirical results from the fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models clearly showed that the income levels in origin countries and exchange rate significantly affect tourism demand in Macau. Income level is positively related to tourism demand while the exchange rate adversely affects tourism demand in Macau. Transportation cost, interestingly, is a statistically insignificant determinant for the Macau tourism demand. This is because majority of the tourists visiting Macau are from neighbouring countries such as China and Hong Kong, and thus the travel cost is not their main consideration when deciding to travel. The empirical findings of this study validated the linkage among income level, exchange rate, and transportation cost on tourism demand in Macau. This study is useful for the government and key industry players to design strategic tourism plans for sustainable growth of the tourism industry in Macau.

Over the years, macroeconomic fundamentals and the stock market were found to have symmetrical relationship in numerous scientific investigations. These fundamentals provide crucial knowledge regarding stock price indices by providing forecasts for the future and information on the current status of the economy. This study employs a Nonlinear Autoregressive Distributed Lags (NARDL) model to fill in the research gap by estimating the asymmetric relationship between inflation and stock market from 1996 to 2020. The study suggests that inflation has a long-run and short-run asymmetric affect on the stock price, while both positive and negative inflation changes harm stock prices. As it reveals, the asymmetric impact of inflation on the stock market, this study can assist investors and businesses in making well-informed decisions that result in a more efficient allocation of resources, ultimately benefiting the economy. Additionally, policymakers can utilize these findings to design effective strategies for managing inflation, stabilizing prices, promoting economic growth, and ensuring financial market stability.