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Environmental Science and Pollution Research

, Volume 26, Issue 26, pp 27534–27541 | Cite as

Spatial and temporal heterogeneity of environmental efficiency for China’s hotel sector: new evidence through metafrontier global Malmquist-Luenberger

  • Xingle LongEmail author
  • Xun Wang
  • Claudia Nyarko Mensah
  • Mingzhen Wang
  • Jijian Zhang
Short Research and Discussion Article

Abstract

With the adding of tourist volume in China, carbon emissions from hotel sector increased greatly. Environmental efficiency of hotel sector considering technology heterogeneity is mainly analyzed across different regions of China from 2000 to 2013. Metafrontier global Malmquist-Luenberger (ML) is implemented to evaluate environmental efficiency of hotel sector. Furthermore, we analyze whether technology heterogeneity of different regions increased or not through technological gap ratio. The empirical analysis revealed that the east had the highest environmental efficiency under metafrontier after 2009. After 2009, technological gap ratio (TGR) in the east ranked highest among four regions in China. Environmental regulation positively impacts environmental efficiency under group frontier of hotel sector in the model of nation, east, and middle. Urbanization has U-shaped link with environmental efficiency of hotel sector for the east. It is important to strengthen environmental regulation to reduce carbon emissions. Last, it is important to enhance consciousness of energy abating and carbon emissions reduction of hotel customers.

Keywords

Environmental efficiency Heterogeneity Urbanization 

Notes

Funding information

This study received financial support from the National Natural Science Foundation of China (Nos. 7191101006,71603105, 71673117); the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (No. NRF-2018S1A5A2A03036952); the Natural Science Foundation of Jiangsu, China (No. SBK2016042936); the Science Foundation of Ministry of Education of China (No. 16YJC790067), and the China Postdoctoral Science Foundation (Nos. 2017M610051, 2018T110054).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Xingle Long
    • 1
    • 2
    Email author
  • Xun Wang
    • 3
  • Claudia Nyarko Mensah
    • 2
  • Mingzhen Wang
    • 4
  • Jijian Zhang
    • 2
  1. 1.Center for Energy and Environmental Policy ResearchBeijing Institute of TechnologyBeijingChina
  2. 2.School of ManagementJiangsu UniversityZhenjiangChina
  3. 3.Adam Smith Business SchoolUniversity of GlasgowGlasgowUK
  4. 4.School of Liberal of ArtsJiangsu UniversityZhenjiangChina

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