IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p16458-d997910.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/16458/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/24/16458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    2. Shuwen Zhang & Chenhui Ding & Chao Liu, 2024. "The Impact of Carbon Trading Policy on the Green Innovation Efficiency of Enterprises: Evidence from China," Sustainability, MDPI, vol. 16(24), pages 1-17, December.
    3. Lu, Chengpeng & Ji, Wei & Hou, Muchen & Ma, Tianyang & Mao, Jinhuang, 2022. "Evaluation of efficiency and resilience of agricultural water resources system in the Yellow River Basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    4. Jie Wang & Pingping Xiong & Shanshan Wang & Ziheng Yuan & Jiawei Shangguan, 2025. "Evaluating and Predicting Green Technology Innovation Efficiency in the Yangtze River Economic Belt: Based on the Joint SBM Model and GM(1,N|λ,γ) Model," Sustainability, MDPI, vol. 17(13), pages 1-28, July.
    5. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    6. Jie Tao & Weidong Cao & Yebing Fang & Yujie Liu & Xueyan Wang & Haipeng Wei, 2022. "Spatiotemporal Differences and Spatial Spillovers of China’s Green Manufacturing under Environmental Regulation," IJERPH, MDPI, vol. 19(19), pages 1-20, September.
    7. Bin Liao & Lin Li, 2023. "Urban green innovation efficiency and its influential factors: the Chinese evidence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6551-6573, July.
    8. Yang Yang & Simo Li & Zhaoxian Su & Hao Fu & Wenbin Wang & Yun Wang, 2023. "Research on the Ecological Innovation Efficiency of the Zhongyuan Urban Agglomeration: Measurement, Evaluation and Optimization," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
    9. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    10. Chen, Ya & Pan, Yongbin & Liu, Haoxiang & Wu, Huaqing & Deng, Guangwei, 2023. "Efficiency analysis of Chinese universities with shared inputs: An aggregated two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    11. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne, 2020. "Plant capacity notions in a non-parametric framework: a brief review and new graph or non-oriented plant capacities," Annals of Operations Research, Springer, vol. 288(2), pages 837-860, May.
    12. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. Jing, Peng & Li, Shuohan & Wang, Minglu, 2025. "Digital empowerment, industry chain integration and corporate energy efficiency," Energy Economics, Elsevier, vol. 145(C).
    14. Mohammad Nourani & Qian Long Kweh & Evelyn Shyamala Devadason & V.G.R. Chandran, 2020. "A decomposition analysis of managerial efficiency for the insurance companies: A data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 885-901, September.
    15. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    16. Mohammad Tavassoli & Mahsa Ghandehari & Masoud Taherinia, 2023. "Rang-adjusted measure: modelling and computational aspects from internal and external perspectives for network DEA," Operational Research, Springer, vol. 23(4), pages 1-34, December.
    17. Jia Li & Yahong Zheng & Bing Liu & Yanyi Chen & Zhihang Zhong & Chenyu Dong & Chaoqun Wang, 2024. "The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China," Sustainability, MDPI, vol. 16(7), pages 1-21, March.
    18. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    19. Eder, Andreas, 2024. "The effect of land fragmentation on risk and technical efficiency of crop farms," FORLand Working Papers 31 (2024), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    20. Baihui Jin & Wei Li, 2025. "Spatial Effects and Driving Factors of Consumption Upgrades on Municipal Solid Waste Eco-Efficiency, Considering Emission Outputs," Sustainability, MDPI, vol. 17(6), pages 1-30, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16458-:d:997910. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.