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An economic analysis of sustainable tourism development in China

Author

Listed:
  • Yuan Chen

    (Zhejiang Yuexiu University)

  • Jie Zhang

    (Zhejiang University of Science and Technology)

  • Hui Chen

    (Shaoxing University)

Abstract

The threat of climate change and the advancement of sustainable development goals to control this threat have been among the countries priorities. The tourism sector can be essential in promoting sustainable development goals by implementing sustainable processes. The primary purpose of this research is to focus on 23 provinces of China to analyze the sustainable tourism modeling according to the annual data for 2010–2021. The findings confirm that for all Chinese provinces, the increase in the general level of prices has a significant and long-term adverse effect on the sustainable development of the tourism industry in the provinces of China. In contrast, the effect of this variable is not significant in the short term. Moreover, the impact of foreign direct investment on the sustainable development of the tourism industry in the short term and the long term is positive in high-income provinces and negative in low-income provinces. The recommended practical policies promote a green financing market and green FDI development.

Suggested Citation

  • Yuan Chen & Jie Zhang & Hui Chen, 2023. "An economic analysis of sustainable tourism development in China," Economic Change and Restructuring, Springer, vol. 56(4), pages 2227-2242, August.
  • Handle: RePEc:kap:ecopln:v:56:y:2023:i:4:d:10.1007_s10644-023-09512-w
    DOI: 10.1007/s10644-023-09512-w
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    References listed on IDEAS

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    More about this item

    Keywords

    Sustainable tourism; Green economic mechanism; Panel data; China’s provinces;
    All these keywords.

    JEL classification:

    • Z30 - Other Special Topics - - Tourism Economics - - - General
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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