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Economic Benefit Analysis of Medical Tourism Industry Based on Markov Model

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  • Wei Zhang
  • Zhaoxiang Qin
  • Jun Tang
  • Miaochao Chen

Abstract

To study the impact of the medical Tourism Industry on regional economic performance, a Markov prediction method was proposed. An improved Markov chain combination forecasting method was established by analyzing the economy of healthcare tourism industry through Markov chain forecasting method and various processing methods for economic results of different years. The research results show that healthcare tourism industry service is a new and highly potential tourism product service. It can generate significant economic and social benefits. The value and market size of healthcare tourism industry is analyzed and studied by using Markov model to explore the complementary roles of Medical and Tourism, which helps to predict the development of market size and benefits. The model results are also analyzed and calculated. The benefits and scale of the development of the healthcare tourism industry are evaluated by combining the actual data situation and development conditions in each year.

Suggested Citation

  • Wei Zhang & Zhaoxiang Qin & Jun Tang & Miaochao Chen, 2022. "Economic Benefit Analysis of Medical Tourism Industry Based on Markov Model," Journal of Mathematics, Hindawi, vol. 2022, pages 1-9, March.
    • Handle: RePEc:hin:jjmath:6401796
    DOI: 10.1155/2022/6401796
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