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Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China

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  • Xingming Li

    (Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China)

  • Pengfei Shi

    (School of Economics and Management, Southwest University, Chongqing 400715, China)

  • Yazhi Han

    (Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China)

  • Aimin Deng

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Duan Liu

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

Promoting tourism in China using sustainable practices has become a very important issue. In order to analyze temporal characteristics and spatial regularities of green total factor productivity (GTFP), carbon emissions and the consumption of energy related to tourism in China were estimated using a "bottom-up" method. The construction of a measurement framework (including carbon emissions and energy consumption) of GTFP for the tourism industry was also undertaken. The data envelopment analysis (DEA) model and the Malmquist–Luenberger (ML) index were used to measure and calculate tourism GTFP in China between 2007 and 2018, as well as analyze spatio-temporal differences. Results indicate that: (1) carbon emissions and the consumption of energy are increasing, and they have not yet peaked, with traffic associated with tourism accounting for the largest proportion among tourism sectors; the spatial distribution of carbon emissions and the consumption of energy is not balanced; (2) green development of tourism in China has achieved a good level of performance during the study period, driven by technical efficiency. Since 2014, pure technical efficiency (PE) has been >1, indicating that the tourism industry in China has entered a stage of change and promotion; (3) significant spatial differences exist in tourism GTFP in China. For example, the overall pattern of being strongest in the east and weakest in the west has not changed. Currently, eastern, central, and western regions in China rely on different dynamic mechanisms to promote tourism green development. In addition, some provinces have become the core or secondary growth poles of tourism green development in China.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1159-:d:319837
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    5. 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.
    6. Haisheng Chen & Dingqing Ni & Shuiping Zhu & Ying Ying & Manhong Shen, 2022. "Does the National Credit Demonstration Policy Affect Urban Green Economy Efficiency? Evidence from the Yangtze River Delta Region of China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    7. Xiaopeng Si & Zi Tang, 2024. "Assessment of low-carbon tourism development from multi-aspect analysis: A case study of the Yellow River Basin, China," Papers 2402.11579, arXiv.org.
    8. Xiaoshu Xu & Airong Yue & Xuechen Meng, 2023. "Increase in Industrial Sulfur Dioxide Pollution Fee and Polluting Firms’ Green Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-12, July.

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