The demands prediction and developmental potentialities of the tourism industry based on the Grey forecasting and DEA models
Subject Areas : Industrial Management
1 - Ha Noi University of Industry
Keywords: Grey model, tourism industry, DEA, Mamlquist, super-SBM.,
Abstract :
In the recent years, tourism industry is growing extremely strong at the almost countries in the world. In this research, the Grey forecasting models ( GM(1,1), Grey Verhulst and DGM(1,1)) and DEA models (Mamlquist and super-SBM) were used to predict and analyze the demands and developmental potentialities of the travel field in four next years from 2023 to 2026. Furthermore, these methods were also adopted for forecasting and dissect the data of the decision making units (DMUs), then which DMUs would be known to grow well in the future. Basing on the research models for the analysis and estimation, we obtain that the travel industry is growing at almost countries from 2019 to 2022. However, the activity effect of the travel business is not so high. So operation productivity of business is forecasted more effects and profits of the stage from 2019 to 2022. It contributes significantly in the world economy. Otherwise, from the analysis results, we can know the travel ability and having the efficient solutions for the business activities and development potentialities of tourism industry in the next years. Moreover, this research provides the data sheet for the corporation to study and investigate about the travel field. The development of tourism industry creates the jobs, income for people and contributing generally to the growth of the global economy.