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Study on Measurement of Green Productivity of Tourism in the Yangtze River Economic Zone, China

Author

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  • Gang Liu

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Pengfei Shi

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Feng Hai

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Yi Zhang

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Xingming Li

    (School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

Abstract

This paper introduces energy consumption and carbon emission into the analysis framework of the green productivity of tourism. By comparing and analyzing the two main methods used to evaluate the energy consumption and carbon emission estimations of tourism, namely, the “top-down” and “bottom-up” method, and considering the availability of data, the “bottom-up” method was adopted to evaluate the energy consumption and carbon emissions of tourism in the Yangtze River Economic Zone (YREZ). Then, using the Malmquist-Luenberger (ML) index in the super-efficiency data envelopment analysis (DEA) model, the green productivity of the tourism in 11 provinces and cities in the YREZ from 2006 to 2015 was measured. The empirical results show that: (1) The energy consumption and carbon emissions of tourism in the YREZ have increased steadily over the past 10 years, which has caused a certain degree of pollution to the environment, indicating that tourism is no longer a “smoke-free industry”; (2) there are significant provincial differences between the energy consumption and carbon emissions of tourism in the YREZ, with Shanghai always ranking first, while Guizhou and Yunnan ranks last, which represents that the tourism economic development level is positively correlated with the tourism energy consumption and carbon emissions; (3) the green productivity of tourism in the YREZ shows a fluctuating increasing trend in the past 10 years, and technological progress has become the main reason for its growth in green productivity; and (4) the green productivity of tourism in 11 provinces and cities in the YREZ can be divided into three types: Progressive type of tourism green development, stagnant type of tourism green development, and declining type of tourism green development. Consequently, different types of provinces should explore effective dependency paths based on their own conditions.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2786-:d:162284
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Dongsheng Wei & Bing Liu & Zhugeng Duan & Wentao Yang, 2022. "Measuring local progress of the 2030 Agenda for SDGs in the Yangtze River Economic Zone, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 7178-7194, May.
    3. 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.
    4. Shuxiao Li & Zhanhong Cheng & Yun Tong & Biao He, 2022. "The Interaction Mechanism of Tourism Carbon Emission Efficiency and Tourism Economy High-Quality Development in the Yellow River Basin," Energies, MDPI, vol. 15(19), pages 1-23, September.
    5. Xiaorong He & Jizhi Shi & Haichao Xu & Chaoyue Cai & Qiangsheng Hu, 2022. "Tourism Development, Carbon Emission Intensity and Urban Green Economic Efficiency from the Perspective of Spatial Effects," Energies, MDPI, vol. 15(20), pages 1-23, October.
    6. 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.

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