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On Rural Collective Economy and Rural Green Tourism

Author

Listed:
  • Yang Qin

    (Hunan University of Science and Technology, Xiangtan, China)

  • Tian Yinhua

    (Hunan University of Science and Technology, Xiangtan, China)

Abstract

The ecological crisis brought by the rapid development of rural tourism has become a major practical problem that demands prompt solution in the process of rural economic transformation. Seen from the concept of green development, the application of the weight of the green evaluation indicator system in measuring and comparing influences of different economic organizations on the development of rural green tourism aims to analyze and evaluate the positive influence of the rural collective economy on rural green tourism from an empirical perspective. Results show that the collective economy strengthens the overall utility and development level of rural green tourism, contributes to the promotion of economy and the protection of the environment and happiness index, and even contributes to the formation of the “core” of the alliance of the collective economy and individual behavior. Therefore, the conclusion of the research provides new empirical evidence for the in-depth understanding of the development of collective economies under the background of a rural revitalization strategy.

Suggested Citation

  • Yang Qin & Tian Yinhua, 2019. "On Rural Collective Economy and Rural Green Tourism," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 15(3), pages 60-75, July.
  • Handle: RePEc:igg:jeis00:v:15:y:2019:i:3:p:60-75
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEIS.2019070104
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    Cited by:

    1. Xiaowenxu Yue & Yanyan Li & Li Zhou, 2023. "The Impact of Empowerment Practice on the Rural Collective Economy: Empirical Evidence from Rural Communities in China," Land, MDPI, vol. 12(4), pages 1-20, April.
    2. Georgică Gheorghe & Petronela Tudorache & Ioan Mihai Roşca, 2023. "The Contribution of Green Marketing in the Development of a Sustainable Destination through Advanced Clustering Methods," Sustainability, MDPI, vol. 15(18), pages 1-24, September.

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