This research explored the effects of the coronavirus disease (COVID-19) outbreak on stock price movements of China’s tourism industry by using an event study method. The results showed that the crisis negatively impacted tourism sector stocks. Further quantile regression analyses supported the non-linear relationship between the government’s responses and stock returns. The results present that the resurgence of the virus in Beijing did bring about a short-term negative impact on the tourism industry. The empirical results can be used for future researchers to conduct a comparative study of cultural differences concerning government responses to the COVID-19.

Using a monthly panel data of 13 Chinese provinces (cities) over the period from December 2019 to August 2020, this research investigates the impact of COVID-19 on the freight transport. We find that COVID-19 has a positive impact on the road freight transport turnover. This effect is pronounced under the higher numbers of COVID-19 confirmed cases and the lower level of gasoline production, and vice versa. In brief, This study finds that COVID-19 has a positive impact on the road freight transport turnover. This effect is pronounced under the higher numbers of COVID-19 confirmed cases and the lower level of gasoline production, and vice versa.

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What kinds of countries are likely to be prosperous and have a sustainable environment at the same time? How might countries reorient their policy setting to be more capable of suppressing environmental degradation? To explore these questions, this research examines data from 99 countries for 2006–2017, takes the six major forms of ecological footprint (EF) as indicators of environmental quality, and probes the environmental Kuznets curve (EKC) hypothesis via quantile regression approach. We find that tourism development leads to greater environmental degradation, with tourism development particularly corresponding to more usage of carbon absorption land and cropland. The lower the country security is, the better is the environmental quality. Economic complexity also worsens environmental quality. However, country security weakens the negative influence of tourism development and economic complexity on environmental quality, specifying that better country security stalls the negative impact of tourism and economic complexity on environmental quality. Results mostly support the tourism- and country security–induced EKC hypotheses in fishing footprint, whereas economic complexity–induced EKC is generally validated in cropland footprint. Finally, we present that tourism arrivals, economic complexity, and country security have varying impacts across diverse ecological footprint quantiles.

Using 95 countries' panel data for the period 2000-2017, this research explores how GICT affects six types of ecological footprint (EF) with ERs as the interaction variables by concurrently testing the GICT-induced environmental Kuznets curve (EKC) hypothesis. Using a quantile regression (QR) that tests the effects of GICT on environment degradation varying across diverse quantiles of EF, we present the vital role that GICT plays in lessening cropland, forest area, and grazing land, while increasing consumption of built-up land. Additionally, the ndings partially con rm the existence of an inverted U-shape EKC hypothesis of technologies about mitigation against climate change for cropland, forest area, and grazing land via consideration of non-market-based ER as the interaction term. GICT does not notably reduce carbon-absorption land usage, however, the interaction between GICT and non-market-based ER does.