Search Results (5)

The focal point of this investigation is to unravel the intricate consequences of the ‘Yellow Card Policy’ enacted by South Korea on the inflow of Chinese tourists, set against the backdrop of the tumultuous global disruption instigated by the COVID-19 pandemic. Leveraging a dataset delineating monthly periods from January 2020 to May 2023 and invoking the intervention analysis method for empirical evaluation, we excavate a series of salient findings. We discern that South Korea’s “Yellow Card Policy” casts a significant negative shadow over the magnitude of Chinese tourist arrivals, with a particularly profound impact on the long-term outlook. Simultaneously, our investigation illuminates a discernible negative correlation between South Korea’s inflation rate and the influx of Chinese tourists, thereby underlining the critical influence of domestic economic health on international tourism trajectories. Conversely, we observe a distinct positive association between the China–South Korea exchange rate and the influx of Chinese tourists. This insinuates that an advantageous exchange rate can serve as a compelling economic catalyst, stimulating tourism demand by making the host country more financially appealing to potential tourists. In essence, this array of findings paints a multifaceted tableau of how policy maneuvers, economic landscapes, and global health upheavals converge to sculpt the contours of international tourism. Full article

This paper examines the impact of special tariffs between China and the United States (US) on their indirect trade partners via spillover effects. We applied a Value-Added Real Effective Exchange Rate (VA-REER) index to simulate how an increase in tariffs induces changes in demand for goods from Indonesia and selected Asian partners. We used the Input–Output Database (WIOD) to simulate the spillover effects across partners via the Global Value Chain (GVC) using data from 2000 to 2014. The results suggest that demand is doubly more responsive to prices (tariffs) when value-added (VA-REER) index is used instead of the conventional REER index (gross trade). We found that US tariffs on Chinese goods have a negative spillover impact on Indonesia’s exports. Meanwhile, the Chinese tariffs on American goods lead to small increased demand for Indonesian exports. We also found that US and China become equally crucial for Indonesia under the Value-Added REER scheme, concluding that the conventional REER approach may have underestimated the impact of US tariffs on Chinese goods. Finally, we found that Indonesia would be at risk to trade shocks if the US applies tariffs on China, Asian partners (Japan and South Korea), and the European Union (EU). Full article

This paper is dedicated to studying and modeling the interdependence between the oil returns and exchange-rate movements of oil-exporting and oil-importing countries. Globally, twelve countries/regions are investigated, representing more than 60% and 67% of all oil exports and imports. The sample period encompasses economic and natural events like the Great Recession period (2007–2009) and the COVID-19 pandemic. We use the dynamic conditional correlation mixed-data sampling (DCC-MIDAS) model, with the aim of investigating the interdependencies expressed by the long-run correlation, which is a smoother (but always daily observed) version of the (daily) time-varying correlation. Focusing on the advent of the COVID-19 pandemic in 2020, the long-run correlations of the oil-exporting countries (Saudia Arabia, Russia, Iraq, Canada, United States, United Arab Emirates, and Nigeria) and (lagged) WTI crude oil returns strongly increase. For a subset of these countries (that is, Saudia Arabia, Iraq, United States, United Arab Emirates, and Nigeria), the (lagged) correlations turn out to be positive, while for Canada and Russia they remain negative as before the advent of the pandemic. In addition, the oil-importing countries and regions under investigation (Europe, China, India, Japan, and South Korea) experience a similar pattern: before the COVID-19 pandemic, the (lagged) correlations were negative for China, India, and South Korea. After the COVID-19 pandemic, the correlations of these latter countries increased. Full article

The purpose of this study is to examine how the competitive advantage on international markets based on sustainable production is reflected in the pricing behavior of farmed fish, using Norwegian Atlantic salmon (Salmo salar) as an example. The salmon is widely consumed and highly traded due to the rapid development of aquaculture. Norway, which has been successful in regulating and innovating for sustainable aquaculture, accounts for more than half of world production. A model dealing with pass-through of exchange rates and tariff rates based on the exporter’s profit maximization was applied to 28 major countries importing from Norway, using yearly panel data for 2000–2016. Significant evidence of price discrimination was observed in Asian countries where Norway has a high market share, such as China, South Korea, Thailand, and Vietnam. This implies that the market structure of imperfect competition played a major role, suggesting the need to diversify imports to transform the market structure in favor of consumers in Asian countries. Research on the pricing behavior of fisheries products, including cultured fish, is limited in international trade. This paper addresses the gap by applying the pass-through model with changes in tariff rate as well as exchange rate. Full article

The regularity of price fluctuations in exchange rates plays a crucial role in foreign exchange (FX) market dynamics. In this paper, we quantify the multiply irregular fluctuation behaviors of exchange rates in the last 10 years (November 2006–November 2016) of eight world economies with two nonlinear approaches. One is a recently proposed multiscale weighted permutation entropy (MWPE) and another is the typical quantification recurrence analysis (RQA) technique. Furthermore, we utilize the RQA technique to study the different intrinsic mode functions (IMFs) that represents different frequencies and scales of the raw time series via the empirical mode decomposition algorithm. Complexity characteristics of abundance and distinction are obtained in the foreign exchange markets. The empirical results show that JPY/USD (followed by EUR/USD) implies a a higher complexity and indicates relatively higher efficiency of the Japanese FX market, while some economies like South Korea, Hong Kong and China show lower and weaker efficiency of their FX markets. Meanwhile, it is suggested that the financial crisis enhances the market efficiency in the FX markets. Full article