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


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.


Environmental efficiency Heterogeneity Urbanization 


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).


  1. Becken S, Frampton C, Simmons D (2001) Energy consumption patterns in the accommodation sector—the New Zealand case. Ecol Econ 39:371–386CrossRefGoogle Scholar
  2. Camelia S, Razvan SM, Breda Z, Ana-Irina D (2012) An input-output approach of CO2 emissions in tourism sector in post-communist Romania. Procedia Econ Financ 3:987–992CrossRefGoogle Scholar
  3. Chen SY, Golley J (2014) Environmental efficiency growth in China’s industrial economy. Energy Econ 44:89–98CrossRefGoogle Scholar
  4. Chung YH, Färe R, Grosskopf S (1997) Productivity and undesirable outputs: a directional distance function approach. J Environ Manag 51:229–240CrossRefGoogle Scholar
  5. Fan MT, Shao S, Yang LL (2015) Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: a case of Shanghai (China). Energy Policy 79:189–201CrossRefGoogle Scholar
  6. Färe R, Grosskopf S, Pasurka CAJ (2007) Environmental production functions and environmental directional distance functions. Energy 32(7):1055–1066CrossRefGoogle Scholar
  7. Fu F, Liu H, Polenske KR, Li Z (2013) Measuring the energy consumption of China’s domestic investment from 1992 to 2007. Appl Energy 102:1267–1274CrossRefGoogle Scholar
  8. Fukuyama H, Weber WL (2010) A slacks-based inefficiency measure for a two-stage system with bad outputs. Omega 38:398–409CrossRefGoogle Scholar
  9. Gössling S (2002) Global environmental consequences of tourism. Glob Environ Chang 12:283–302CrossRefGoogle Scholar
  10. Grossman GM, Krueger AB (1994) Environmental impacts of a North American Free Trade Agreement. In: Garber P (ed) The US–Mexico free trade agreement. MIT Press, CambridgeGoogle Scholar
  11. Hayami Y (1969) Sources of agricultural productivity gap among selected countries. Am J Agric Econ 51:564–575CrossRefGoogle Scholar
  12. Hayami Y, Ruttan VW (1970) Agricultural productivity differences among countries. Am Econ Rev 60(5):895–911Google Scholar
  13. Juan A, Pastor JT, Zofío JL (2013) On the inconsistency of the Malmquist-Luenberger index. Eur J Oper Res 229:738–743CrossRefGoogle Scholar
  14. Kuznets S (1955) Economic growth and income inequality. Am Econ Rev 49:1–28Google Scholar
  15. Lin BQ, Du KR (2013) Technology gap and China’s regional energy efficiency: a parametric metafrontier approach. Energy Econ 40:529–536CrossRefGoogle Scholar
  16. Long XL, Oh KY, Cheng G (2013) Are stronger environmental regulations effective in practice? The case of China’s accession to the WTO. J Clean Prod 39:161–167CrossRefGoogle Scholar
  17. Long XL, Zhao XC, Cheng FX (2015) The comparison analysis of total factor productivity and eco-efficiency in China’s cement manufactures. Energy Policy 81:61–66CrossRefGoogle Scholar
  18. Long XL, Sun M, Cheng F, Zhang J (2017) Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data. Energy 134:709–717CrossRefGoogle Scholar
  19. Long XL, Wu C, Zhang JJ, Zhang J (2018a) Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: a metafrontier directional slacks-based measure approach. Renew Sust Energ Rev 82:3962–3971CrossRefGoogle Scholar
  20. Long XL, Chen B, Park BG (2018b) Effect of 2008’s Beijing Olympic Games on environmental efficiency of 268 China’s cities. J Clean Prod 172:1423–1432CrossRefGoogle Scholar
  21. O’Donnell CJ, Rao DSP, Battese GE (2008) Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empir Econ 34:231–255CrossRefGoogle Scholar
  22. Oh DH (2010) A global Malmquist-Luenberger productivity index. J Prod Anal 34(3):183–197CrossRefGoogle Scholar
  23. Oluseyi PO, Babatunde OM, Babatunde OA (2016) Assessment of energy consumption and carbon footprint from the hotel sector within Lagos, Nigeria. Energy Build 118:106–113CrossRefGoogle Scholar
  24. Pastor JT, Lovell CAL (2005) A global Malmquist productivity index. Econ Lett 88(2):266–271CrossRefGoogle Scholar
  25. Porter ME, Claas VDL (1995) Toward a new conception of the environment-competitiveness relationship. J Econ Perspect 9:97–118CrossRefGoogle Scholar
  26. Poumanyvong P, Kaneko S (2010) Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecol Econ 70:434–444CrossRefGoogle Scholar
  27. Puig R, Kiliç E, Navarro A, Albertí J, Chacóne L, Fullana-i-Palmer P (2017) Inventory analysis and carbon footprint of coastland-hotel services: Spanish case study. Sci Total Environ 595:244–254CrossRefGoogle Scholar
  28. Robaina-Alves M, Moutinho V, Costa R, Budeanu A, Miller G (2016) Change in energy-related CO2 (carbon dioxide) emissions in Portuguese tourism: a decomposition analysis from 2000 to 2008. J Clean Prod 111:520–528CrossRefGoogle Scholar
  29. Shao S, Tian ZH, Fan MT (2018) Do the rich have stronger willingness to pay for environmental protection? New evidence from a survey in China. World Dev 105:83–94CrossRefGoogle Scholar
  30. Shephard RW (1970) Theory of cost and production functions. Princeton University Press, PrincetonGoogle Scholar
  31. Shi PH, Wu P (2011) A rough estimation of energy consumption and CO2 emission in tourism sector of China. Acta Geograph Sin 66(2):235–243Google Scholar
  32. The UN World Tourism Organization (UNWTO) (2009) Towards a low carbon travel and tourism sector. World Econ Forum:3–36Google Scholar
  33. Tian G, Shi J, Sun L, Long XL, Guo BH (2017) Dynamic changes in the energy-carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach. Nat Hazards 1:1–23Google Scholar
  34. Tian HY, Xu CX, Dong XW (2018) Regionals differences and determinants of CO2 emissions efficiency of China’s tourism sector. Stat Decis 34(16):51–55Google Scholar
  35. Tsai KT, Lin TP, Hwang RL, Huang YJ (2014) Carbon dioxide emissions generated by energy consumption of hotels and homestay facilities in Taiwan. Tour Manag 42:13–21CrossRefGoogle Scholar
  36. Wang JC (2012) A study on the energy performance of hotel buildings in Taiwan. Energy Build 49:268–275CrossRefGoogle Scholar
  37. Wang JC, Huang KT (2013) Energy consumption characteristics of hotel’s marketing preference for guests from regions perspective. Energy 52:173–184CrossRefGoogle Scholar
  38. Wang QW, Zhao ZY, Shen N, Liu TT (2015) Have Chinese cities achieved the win–win between environmental protection and economic development? From the perspective of environmental efficiency. Ecol Indic 15:151–158CrossRefGoogle Scholar
  39. Wu P, Han Y, Tian M (2015) The measurement and comparative study of carbon dioxide emissions from tourism in typical provinces in China. Acta Ecol Sin 35:184–190CrossRefGoogle Scholar
  40. Yang ZB, Fan MT, Shao S, Yang LL (2017) Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis. Energy Econ 68:271–282CrossRefGoogle Scholar
  41. Yao XL, Kou D, Shao S, Li XY, Wang WX, Zhang CT (2018) Can urbanization process and carbon emission abatement be harmonious? New evidence from China. Environ Impact Assess Rev 71:70–83CrossRefGoogle Scholar
  42. Yi LQ (2011) The analysis on carbon footprint of catering products in high-star hotels during operation: based on investigation conducted in parts of high-star hotels in Ji’nan. Energy Procedia 5:890–894CrossRefGoogle Scholar
  43. Zhang N, Choi Y (2013) A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea. Energy Policy 62:324–332CrossRefGoogle Scholar
  44. Zhang N, Yu KR, Chen ZF (2017) How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis. Energy Policy 107:678–687CrossRefGoogle Scholar
  45. Zhao XL, Yin HT, Zhao Y (2015) Impact of environmental regulations on the efficiency and CO2 emissions of power plants in China. Appl Energy 149:238–247CrossRefGoogle Scholar
  46. Zhou P, Poh KL, Ang BW (2007) A non-radial approach to measuring environmental performance. Eur J Oper Res 178:1–9CrossRefGoogle Scholar

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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