International cruise research advances and hotspots: Based on literature big data

This paper makes a systematic visual analysis of cruise research literature collected in science network database from 1996 to 2019. The results show that: the overall number of published literature on cruise research is growing;North American states, Europe, and Asia are the main regions of cruise research. The evolutionary of theme development of cruise research has three stages, and the current hot topics of cruise research can be summarized as cruise tourism, luxury cruises, cruise passengers, destination ports, environmental and biological conservation, and cruise diseases. Future research in the cruise field are in the areas of cruise supply chain, technology in cruise, children's cruise experience, itinerary design, planning and optimization, brand reputation and luxury cruises, public transportation in destinations, environmental responsibility of passengers and corporate social responsibility, optimization of energy systems, climate change in relation to the cruise industry, the Chinese cruise market and risk management of cruise diseases.

Assessing the Impacts of COVID-19 on the Industrial Sectors and Economy of China.

Since December 2019, the COVID-19 epidemic has been spreading continuously in China and many countries in the world, causing widespread concern among the whole society. To cope with the epidemic disaster, most provinces and cities in China have adopted prevention and control measures such as home isolation, blocking transportation, and extending the Spring Festival holiday, which has caused a serious impact on China's output of various sectors, international trade, and labor employment, ultimately generating great losses to the Chinese economic system in 2020. But how big is the loss? How can we assess this for a country? At present, there are few analyses based on quantitative models to answer these important questions. In the following, we describe a quantitative-based approach of assessing the potential impact of the COVID-19 epidemic on the economic system and the sectors taking China as the base case. The proposed approach can provide timely data and quantitative tools to support the complex decision-making process that government agencies (and the private sector) need to manage to respond to this tragic epidemic and maintain stable economic development. Based on the available data, this article proposes a hypothetical scenario and then adopts the Computable General Equilibrium (CGE) model to calculate the comprehensive economic losses of the epidemic from the aspects of the direct shock on the output of seriously affected sectors, international trade, and labor force. The empirical results show that assuming a GDP growth rate of 4-8% in the absence of COVID-19, GDP growth in 2020 would be -8.77 to -12.77% after the COVID-19. Companies and activities associated with transportation and service sectors are among the most impacted, and companies and supply chains related to the manufacturing subsector lead the economic losses. Finally, according to the calculation results, the corresponding countermeasures and suggestions are put forward: disaster recovery for key sectors such as the labor force, transportation sector, and service sectors should be enhanced; disaster emergency rescue work in highly sensitive sectors should be carried out; in the long run, precise measures to strengthen the refined management of disaster risk with big data resources and means should be taken.

Assessing the management efficiency of shipping company from a congestion perspective: A case study of Hapag-Lloyd

Shipping management has an essential influence on the development of shipping industry. Management efficiency is one of the important indexes to measure the quality of shipping management. This paper aims to assess the management efficiency from a new perspective of congestion index to point out the causes affecting efficiency and provide suggestions to the shipping company. Based on a two-stage data envelopment analysis, we establish a novel congestion management system to comprehensively examine the organization's congestion from three aspects, including the macro-level, the micro-level, and resource allocation. Accordingly, we apply three congestion models, namely stage congestion, slack-based congestion, and resource reallocation congestion, respectively, to measure Hapag-Lloyd's congestion index from 2017 to 2020. We find that: 1) Hapag-Lloyd's capacity is higher than its market share;2) major events (e.g., merger and acquisition, COVID-19) have significant impacts on the congestion index of the company;3) excessive redistributable resource input invalidate the congestion index.