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Analysis on the Spatial-Temporal Evolution Characteristics and Spatial Network Structure of Tourism Eco-Efficiency in the Yangtze River Delta Urban Agglomeration

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  • Yiyang Sun

    (School of Geographic Science, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Guolin Hou

    (School of Geographic Science, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

Abstract

Based on the panel data of 41 cities in the Yangtze River Delta from 2008 to 2017, this paper constructs an evaluation indicators system for urban tourism eco-efficiency. By measuring the tourism eco-efficiency in the Yangtze River Delta urban agglomeration, we analyze its spatial-temporal evolution characteristics. Furthermore, the modified gravity model and social network analysis are introduced to explore the spatial network structure of tourism eco-efficiency and its evolution trend.The results show that:(1) The overall eco-efficiency of tourism in the Yangtze River Delta region presents a fluctuating downward trend, among which Jiangsu and Zhejiang have high eco-efficiency, Shanghai and Anhui are relatively low. The gap within the region first increased and then decreased. (2) During this decade, the spatial network structure of tourism eco-efficiency in the Yangtze River Delta has become increasingly loose. The weakening of the network connection strength has led to a decrease in the regional tourism eco-efficiency to a great extent. (3) The network centrality of cities such as Zhoushan, Huzhou, and Huangshan has always maintained a high level, and these cities have firmly occupied the core position of network. (4) The spatial association network of tourism eco-efficiency can be divided into four blocks: “two-way spillover”, “net spillover”, “net benefit” and “agent”. The synergy and spillover effect between various blocks are significant, and there is a spatial polarization trend centered on a few cities. Based on this, this paper puts forward optimization suggestions for the spatial network structure of the Yangtze River Delta urban agglomeration, in anticipation of promoting the improvement of regional tourism eco-efficiency.

Suggested Citation

  • Yiyang Sun & Guolin Hou, 2021. "Analysis on the Spatial-Temporal Evolution Characteristics and Spatial Network Structure of Tourism Eco-Efficiency in the Yangtze River Delta Urban Agglomeration," IJERPH, MDPI, vol. 18(5), pages 1-29, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2577-:d:510614
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    as
    1. Peng, Benhong & Wang, Yuanyuan & Wei, Guo, 2020. "Energy eco-efficiency: Is there any spatial correlation between different regions?," Energy Policy, Elsevier, vol. 140(C).
    2. Dandan Liu & Dewei Yang & Anmin Huang, 2021. "LEAP-Based Greenhouse Gases Emissions Peak and Low Carbon Pathways in China’s Tourist Industry," IJERPH, MDPI, vol. 18(3), pages 1-15, January.
    3. Sun, Huaping & Geng, Yong & Hu, Lingxiang & Shi, Longyu & Xu, Tong, 2018. "Measuring China's new energy vehicle patents: A social network analysis approach," Energy, Elsevier, vol. 153(C), pages 685-693.
    4. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    5. Brida, Juan Gabriel & Deidda, Manuela & Pulina, Manuela, 2014. "Tourism and transport systems in mountain environments: analysis of the economic efficiency of cableways in South Tyrol," Journal of Transport Geography, Elsevier, vol. 36(C), pages 1-11.
    6. Gössling, Stefan & Peeters, Paul & Ceron, Jean-Paul & Dubois, Ghislain & Patterson, Trista & Richardson, Robert B., 2005. "The eco-efficiency of tourism," Ecological Economics, Elsevier, vol. 54(4), pages 417-434, September.
    7. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    8. Rui Wang & Bing Xia & Suocheng Dong & Yu Li & Zehong Li & Duoxun Ba & Wenbiao Zhang, 2020. "Research on the Spatial Differentiation and Driving Forces of Eco-Efficiency of Regional Tourism in China," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    9. Yusuf Yılmaz & Engin Üngüren & Yaşar Yiğit Kaçmaz, 2019. "Determination of Managers’ Attitudes Towards Eco-Labeling Applied in the Context of Sustainable Tourism and Evaluation of the Effects of Eco-Labeling on Accommodation Enterprises," Sustainability, MDPI, vol. 11(18), pages 1-27, September.
    10. Lingling Chen & Brijesh Thapa & Wei Yan, 2018. "The Relationship between Tourism, Carbon Dioxide Emissions, and Economic Growth in the Yangtze River Delta, China," Sustainability, MDPI, vol. 10(7), pages 1-20, June.
    11. Guaita Martínez, José Manuel & Martín Martín, José María & Salinas Fernández, Jose Antonio & Mogorrón-Guerrero, Helena, 2019. "An analysis of the stability of rural tourism as a desired condition for sustainable tourism," Journal of Business Research, Elsevier, vol. 100(C), pages 165-174.
    12. Yiyang Sun & Guolin Hou & Zhenfang Huang & Yi Zhong, 2020. "Spatial-Temporal Differences and Influencing Factors of Tourism Eco-Efficiency in China’s Three Major Urban Agglomerations Based on the Super-EBM Model," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    13. Fei Ma & Yixuan Wang & Kum Fai Yuen & Wenlin Wang & Xiaodan Li & Yuan Liang, 2019. "The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation: A Social Network Perspective," IJERPH, MDPI, vol. 16(12), pages 1-23, June.
    14. Tang, Chengcai & Zhong, Linsheng & Ng, Pin, 2017. "Factors that Influence the Tourism Industry's Carbon Emissions: a Tourism Area Life Cycle Model Perspective," Energy Policy, Elsevier, vol. 109(C), pages 704-718.
    15. Fan, Yupeng & Qiao, Qi & Chen, Weiping, 2017. "Unified network analysis on the organization of an industrial metabolic system," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 9-16.
    16. Yue Pan & Gangmin Weng & Conghui Li & Jianpu Li, 2021. "Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    17. Mamertino, Mariano & Sinclair, Tara M., 2019. "Migration and online job search: A gravity model approach," Economics Letters, Elsevier, vol. 181(C), pages 51-53.
    18. Xingming Li & Pengfei Shi & Yazhi Han & Aimin Deng & Duan Liu, 2020. "Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
    19. Jianping Zha & Ting Tan & Wenwen Yuan & Xiaojie Yang & Ying Zhu, 2020. "Decomposition analysis of tourism CO2 emissions for sustainable development: A case study of China," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(1), pages 169-186, January.
    20. Liu, Gengyuan & Yang, Zhifeng & Fath, Brian D. & Shi, Lei & Ulgiati, Sergio, 2017. "Time and space model of urban pollution migration: Economy-energy-environment nexus network," Applied Energy, Elsevier, vol. 186(P2), pages 96-114.
    21. Chao Bi & Jingjing Zeng, 2019. "Nonlinear and Spatial Effects of Tourism on Carbon Emissions in China: A Spatial Econometric Approach," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    22. Xueying Huang & Yuanjun Han & Xuhong Gong & Xiangyan Liu, 2020. "Does the belt and road initiative stimulate China’s inbound tourist market? An empirical study using the gravity model with a DID method," Tourism Economics, , vol. 26(2), pages 299-323, March.
    23. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    24. Yu Tu & Benhong Peng & Ehsan Elahi & Weiku Wu, 2020. "Initiator or Intermediary? A Case Study on Network Relation of Environmental Regulatory Capture in China," IJERPH, MDPI, vol. 17(24), pages 1-19, December.
    25. Jinzhao Song & Qing Feng & Xiaoping Wang & Hanliang Fu & Wei Jiang & Baiyu Chen, 2018. "Spatial Association and Effect Evaluation of CO 2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    26. Gang Liu & Pengfei Shi & Feng Hai & Yi Zhang & Xingming Li, 2018. "Study on Measurement of Green Productivity of Tourism in the Yangtze River Economic Zone, China," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    27. Mohammad Tipu Sultan & Farzana Sharmin & Alina Badulescu & Elena Stiubea & Ke Xue, 2020. "Travelers’ Responsible Environmental Behavior towards Sustainable Coastal Tourism: An Empirical Investigation on Social Media User-Generated Content," Sustainability, MDPI, vol. 13(1), pages 1-19, December.
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    7. Yufeng Cheng & Kai Zhu & Quan Zhou & Youssef El Archi & Moaaz Kabil & Bulcsú Remenyik & Lóránt Dénes Dávid, 2023. "Tourism Ecological Efficiency and Sustainable Development in the Hanjiang River Basin: A Super-Efficiency Slacks-Based Measure Model Study," Sustainability, MDPI, vol. 15(7), pages 1-17, April.

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