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The Influencing Effect of Tourism Economy on Green Development Efficiency in the Yangtze River Delta

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  • Meijuan Hu

    (School of Tourism and Cuisine, Yangzhou University, Yangzhou 225127, China
    Institute of Tourism Culture, Yangzhou University, Yangzhou 225127, China)

  • Zaijun Li

    (Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou 225127, China)

  • Bing Hou

    (School of Tourism and Cuisine, Yangzhou University, Yangzhou 225127, China
    Institute of Tourism Culture, Yangzhou University, Yangzhou 225127, China
    Institute of the Grand Canal Research, Yangzhou University, Yangzhou 225009, China)

Abstract

In the context of ecological priority and green development strategy, accelerating the upgrading of tourism structure and promoting the development of ecotourism is an important guarantee to achieve green and low-carbon economic growth and high-quality development. On the basis of constructing comprehensive evaluation indicators of tourism development (TD) and green development efficiency (GDE), this study analyzed the impulse response relationship between TD and GDE and the impact effect of TD on GDE in the Yangtze River Delta region from 2000–2018. Findings showed that: (1) During the study period, TD generally exhibited a W-shaped fluctuating upward trend and GDE showed a staggered evolution of upward and downward fluctuations, while both regional gaps of TD and GDE continued to decrease. (2) Most cities had made a leap from low to medium, high, and higher levels of tourism development, with tourism development levels decreasing along the Yangtze River basin to the north and south of the delta. The overall green development efficiency was relatively low, showing a spatial pattern of high value in the southern delta and low value in the northwest delta. (3) There was a one-way Granger causality of TD on GDE, and the impact of TD on GDE showed a significant positive cumulative effect. (4) TD exhibited a significant inverted U-shaped impact on GDE. The economic development level and government intervention had a significant positive impact on GDE. The proportion of secondary industry, energy consumption intensity, and foreign direct investment had a significant negative driving effect on GDE. While the impact of environmental regulation on GDE was insignificant positive. This study has great practical significance to alleviate the problems of urban resources and environment, and to realize a green economy and high-quality life.

Suggested Citation

  • Meijuan Hu & Zaijun Li & Bing Hou, 2023. "The Influencing Effect of Tourism Economy on Green Development Efficiency in the Yangtze River Delta," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1072-:d:1028187
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    as
    1. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    2. Xia Xie & Hui Sun & Jun Gao & Feifei Chen & Chunshan Zhou, 2021. "Spatiotemporal Differentiation of Coupling and Coordination Relationship of Tourism–Urbanization–Ecological Environment System in China’s Major Tourist Cities," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    3. Dian Li & Ziheng Shangguan & Malan Huang & Xinyue Zhang & Lu Tang, 2022. "Impacts of Urban Development on Regional Green Development Efficiency—A Case of the Yangtze River Delta in China," Energies, MDPI, vol. 15(13), pages 1-18, June.
    4. 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.
    5. 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.
    6. Xue, Dan & Yue, Li & Ahmad, Fayyaz & Draz, Muhammad Umar & Chandio, Abbas Ali & Ahmad, Munir & Amin, Waqas, 2022. "Empirical investigation of urban land use efficiency and influencing factors of the Yellow River basin Chinese cities," Land Use Policy, Elsevier, vol. 117(C).
    7. Simone Marsiglio, 2015. "Economic Growth and Environment: Tourism as a Trigger for Green Growth," Tourism Economics, , vol. 21(1), pages 183-204, February.
    8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    9. Sun, Yifan & Ma, Anbing & Su, Haorui & Su, Shiliang & Chen, Fei & Wang, Wen & Weng, Min, 2020. "Does the establishment of development zones really improve industrial land use efficiency? Implications for China’s high-quality development policy," Land Use Policy, Elsevier, vol. 90(C).
    10. Yonglian Wang & Lijun Wang & Han Liu & Yongjing Wang, 2021. "The Robust Causal Relationships Among Domestic Tourism Demand, Carbon Emissions, and Economic Growth in China," SAGE Open, , vol. 11(4), pages 21582440211, October.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Zhen Wang & Xupeng Zhang & Chaozheng Zhang & Qing Yang, 2022. "How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    13. Fumin Deng & Yuan Fang & Lin Xu & Zhi Li, 2020. "Tourism, Transportation and Low-Carbon City System Coupling Coordination Degree: A Case Study in Chongqing Municipality, China," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    14. 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.
    15. Shengli Dai & Yingying Wang & Weimin Zhang, 2022. "The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    16. Lingyan Xu & Dandan Wang & Jianguo Du, 2022. "Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities," IJERPH, MDPI, vol. 19(7), pages 1-19, March.
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    1. Zhenyu Qi & Yuezhou You, 2024. "The Impact of the Integration of the Culture Industry and Tourism on Regional Green Development: Empirical Evidence from China," Sustainability, MDPI, vol. 16(8), pages 1-21, April.

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