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A Study on the Evaluation of Green Innovation Efficiency and Influencing Factors of the Chinese Tourism Industry

Author

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  • Yuxiang Zheng

    (School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China)

  • Kegong Zhang

    (School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China)

Abstract

It is necessary to promote harmony between the economic growth of tourism and the resource environment to achieve the green and sustainable development of China’s tourism industry. The research objects were taken in 30 provinces and cities in China. The green innovation efficiency of tourism is measured and evaluated based on the super-efficient SBM model and Moran index. The spatial and temporal heterogeneity of the influencing factors of green innovation efficiency is analyzed using the GWR model. The study shows that: (1) The level of green innovation efficiency of the tourism industry as a whole keeps improving during the study period, but the development is uneven among eastern, central, and western provinces. (2) The spatial correlation of the green innovation efficiency of the tourism industry in 30 provinces and cities keeps getting closer and closer, and some regions show the characteristics of spatial aggregation. (3) The green innovation efficiency of the tourism industry is affected by various factors, such as the level of economic development and the level of professional development of the tourism industry. (4) Tourism green innovation efficiency is influenced by various factors, such as economic development level and tourism professional development level, and there are apparent intensity differences and spatial heterogeneity among various influencing factors. Finally, reasonable countermeasures are proposed to promote the overall improvement and balanced development of green innovation efficiency in China’s tourism industry.

Suggested Citation

  • Yuxiang Zheng & Kegong Zhang, 2022. "A Study on the Evaluation of Green Innovation Efficiency and Influencing Factors of the Chinese Tourism Industry," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16458-:d:997910
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    References listed on IDEAS

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    1. Mert Gürlek & Mehmet Ali Koseoglu, 2021. "Green innovation research in the field of hospitality and tourism: the construct, antecedents, consequences, and future outlook," The Service Industries Journal, Taylor & Francis Journals, vol. 41(11-12), pages 734-766, September.
    2. Jun-liang Du & Yong Liu & Wei-xue Diao, 2019. "Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China," IJERPH, MDPI, vol. 16(6), pages 1-23, March.
    3. Zhiliang Liu & Chengpeng Lu & Jinhuang Mao & Dongqi Sun & Hengji Li & Chenyu Lu, 2021. "Spatial–Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    4. Vasco Santos & Maria José Sousa & Carlos Costa & Manuel Au-Yong-Oliveira, 2021. "Tourism towards Sustainability and Innovation: A Systematic Literature Review," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
    5. Valentina Della Corte & Giovanna Del Gaudio & Fabiana Sepe & Fabiana Sciarelli, 2019. "Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    6. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    7. Siying Yang & Wei Liu & Zhe Zhang, 2022. "The Dynamic Value of China’s High-Tech Zones: Direct and Indirect Influence on Urban Ecological Innovation," Land, MDPI, vol. 11(1), pages 1-19, January.
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