IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i9p1634-d112002.html
   My bibliography  Save this article

Tourism Eco-Efficiency Measurement, Characteristics, and Its Influence Factors in China

Author

Listed:
  • Xiaoping Qiu

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yiping Fang

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Xueting Yang

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Fubiao Zhu

    (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

As an emerging field of eco-efficiency, tourism eco-efficiency is becoming an important way to measure the sustainable development of tourism. This study calculated and decomposed tourism CO 2 emissions in China, explored its evolution and distribution characteristics by using the ratio method of tourism eco-efficiency, and analyzed the influencing factors by adopting a regression model. The results indicate that: (1) tourism CO 2 emissions in China have increased significantly, their largest source is transportation. Its characteristics can be divided into carbon emission intensity factor, income structure factor, consumption level factor, and tourist scale factor through utilizing the Logarithmic Mean Divisia Index (LMDI) method, which also shows that the decisive factor of increased of tourism CO 2 emissions has been the tourist scale factor. (2) Tourism eco-efficiency is marked by spectacular but unstable growth, which can be divided into three stages: inefficient stagnation stage, fluctuating growth stage, and efficient development stage. (3) Tourism eco-efficiency in China has shown that the remarkable high–high cluster and low–low cluster, and the 31 provinces, can be divided into four groups, namely: a high-efficiency high-growth group, a high-efficiency low-growth group, a low-efficiency high-growth group, and a low-efficiency low-growth group. (4) The main influencing factors of tourism eco-efficiency are the scale effect, the structural effect, the technical effect, and the environmental regulation. Since these four factors have different impacts on the tourism eco-efficiency of different groups according to panel data regression, more effective policies should be adopted for the improvement of tourism eco-efficiency in China. Finally, the significances and deficiencies of this study are discussed.

Suggested Citation

  • Xiaoping Qiu & Yiping Fang & Xueting Yang & Fubiao Zhu, 2017. "Tourism Eco-Efficiency Measurement, Characteristics, and Its Influence Factors in China," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1634-:d:112002
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/9/1634/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/9/1634/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.
    2. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof, J. & van Nunen, J.A.E.E. & Spengler, T., 2009. "A methodology for assessing eco-efficiency in logistics networks," European Journal of Operational Research, Elsevier, vol. 193(3), pages 670-682, March.
    3. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    4. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    5. Gössling, Stefan & Peeters, Paul & Ceron, Jean-Paul & Dubois, Ghislain & Patterson, Trista & Richardson, Robert B., 2005. "The eco-efficiency of tourism," Ecological Economics, Elsevier, vol. 54(4), pages 417-434, September.
    6. Korhonen, Jouni & Snäkin, Juha-Pekka, 2015. "Quantifying the relationship of resilience and eco-efficiency in complex adaptive energy systems," Ecological Economics, Elsevier, vol. 120(C), pages 83-92.
    7. Guangdong Li & Chuanglin Fang, 2014. "Analyzing the multi-mechanism of regional inequality in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 155-182, January.
    8. Bleischwitz, Raimund, 2003. "Cognitive and institutional perspectives of eco-efficiency," Ecological Economics, Elsevier, vol. 46(3), pages 453-467, October.
    9. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    10. Torras, Mariano & Boyce, James K., 1998. "Income, inequality, and pollution: a reassessment of the environmental Kuznets Curve," Ecological Economics, Elsevier, vol. 25(2), pages 147-160, May.
    11. Ayres, Robert & Ferrer, Geraldo & Van Leynseele, Tania, 1997. "Eco-efficiency, asset recovery and remanufacturing," European Management Journal, Elsevier, vol. 15(5), pages 557-574, October.
    12. Mahlberg, Bernhard & Luptacik, Mikulas, 2014. "Eco-efficiency and eco-productivity change over time in a multisectoral economic system," European Journal of Operational Research, Elsevier, vol. 234(3), pages 885-897.
    13. Sun, Ya-Yen, 2014. "A framework to account for the tourism carbon footprint at island destinations," Tourism Management, Elsevier, vol. 45(C), pages 16-27.
    14. Cha, Kyounghoon & Lim, Songtak & Hur, Tak, 2008. "Eco-efficiency approach for global warming in the context of Kyoto Mechanism," Ecological Economics, Elsevier, vol. 67(2), pages 274-280, September.
    15. David Berre & Jonathan Vayssières & Jean-Philippe Boussemart & Herve Leleu & Emmanuel Tillard & Philippe Lecomte, 2015. "A methodology to explore the determinants of eco-efficiency by combining an agronomic whole-farm simulation model and efficient frontier," Post-Print hal-01526029, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongwei Liu & Chenchen Gao & Henry Tsai, 2024. "Spatial spillover and determinants of tourism efficiency: A low carbon emission perspective," Tourism Economics, , vol. 30(3), pages 543-566, May.
    2. Fayyaz Ahmad & Muhammad Umar Draz & Lijuan Su & Ilhan Ozturk & Abdul Rauf, 2018. "Tourism and Environmental Pollution: Evidence from the One Belt One Road Provinces of Western China," Sustainability, MDPI, vol. 10(10), pages 1-22, September.
    3. 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.
    4. Castilho, Daniela & Fuinhas, José Alberto & Marques, António Cardoso, 2021. "The impacts of the tourism sector on the eco-efficiency of the Latin American and Caribbean countries," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    5. Qunli Tang & Qianqian Wang & Tiancai Zhou, 2022. "Driving Forces of Tourism Carbon Decoupling: A Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    6. Yang Li & An-Chi Liu & Yi-Ying Yu & Yueru Zhang & Yiting Zhan & Wen-Cheng Lin, 2022. "Bootstrapped DEA and Clustering Analysis of Eco-Efficiency in China’s Hotel Industry," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    7. Fangming Qin & Jingyan Liu & Gang Li, 2024. "Accounting for tourism carbon emissions: A consumption stripping perspective based on the tourism satellite account," Tourism Economics, , vol. 30(3), pages 633-654, May.
    8. 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.
    9. 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.
    10. Qingfang Liu & Jinping Song & Teqi Dai & Jianhui Xu & Jianmei Li & Enru Wang, 2022. "Spatial Network Structure of China’s Provincial-Scale Tourism Eco-Efficiency: A Social Network Analysis," Energies, MDPI, vol. 15(4), pages 1-16, February.
    11. Komang Adi Kurniawan Saputra & Bambang Subroto & Aulia Fuad Rahman & Erwin Saraswati, 2022. "Eco-Efficiency and Energy Audit to Improve Environmental Performance: An Empirical Study of Hotels in Bali-Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 175-182, November.
    12. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    13. Yuewei Wang & Lidan An & Hang Chen & Yuyan Zhao, 2022. "Spatial Correlation and Influencing Factors of Tourism Eco-Efficiency in the Urban Agglomeration of the Yangtze River Delta Based on Social Network Analysis," Land, MDPI, vol. 11(11), pages 1-21, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ullah, Assad & Dogan, Mesut & Pervaiz, Amber & Ather Bukhari, Azaz Ali & Akkus, Hilmi Tunahan & Dogan, Husna, 2024. "The impact of digitalization, technological and financial innovation on environmental quality in OECD countries: Investigation of N-shaped EKC hypothesis," Technology in Society, Elsevier, vol. 77(C).
    2. Zhang, Chuanguo & Zhao, Wei, 2014. "Panel estimation for income inequality and CO2 emissions: A regional analysis in China," Applied Energy, Elsevier, vol. 136(C), pages 382-392.
    3. Chengcai Tang & Ziwei Wan & Pin Ng & Xiangyi Dai & Qiuxiang Sheng & Da Chen, 2019. "Temporal and Spatial Evolution of Carbon Emissions and Their Influencing Factors for Tourist Attractions at Heritage Tourist Destinations," Sustainability, MDPI, vol. 11(21), pages 1-19, October.
    4. Ha-Chi Le & Thai-Ha Le, 2023. "Effects of economic, social, and political globalization on environmental quality: international evidence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4269-4299, May.
    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. Yang Li & An-Chi Liu & Yi-Ying Yu & Yueru Zhang & Yiting Zhan & Wen-Cheng Lin, 2022. "Bootstrapped DEA and Clustering Analysis of Eco-Efficiency in China’s Hotel Industry," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    7. Bradford David F. & Fender Rebecca A & Shore Stephen H. & Wagner Martin, 2005. "The Environmental Kuznets Curve: Exploring a Fresh Specification," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-28, June.
    8. Alvarez-Herranz, Agustin & Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Cantos, José María, 2017. "Energy innovation and renewable energy consumption in the correction of air pollution levels," Energy Policy, Elsevier, vol. 105(C), pages 386-397.
    9. Alban Verchere, 2022. "Is social polarization bad for the planet? A theoretical inquiry," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 427-456, April.
    10. Yubin Wu & Feiyang He & Zhujun Sun & Yongyu Wang, 2024. "Measurement of Tourism Ecological Efficiency and Analysis of Influencing Factors under the Background of Climate Change: A Case Study of Three Provinces in China’s Cryosphere," Sustainability, MDPI, vol. 16(14), pages 1-24, July.
    11. Richard T. Carson, 2010. "The Environmental Kuznets Curve: Seeking Empirical Regularity and Theoretical Structure," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(1), pages 3-23, Winter.
    12. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    13. Roca, Jordi & Serrano, Monica, 2007. "Income growth and atmospheric pollution in Spain: An input-output approach," Ecological Economics, Elsevier, vol. 63(1), pages 230-242, June.
    14. Md Danesh Miah & Md Farhad Hossain Masum & Masao Koike & Shalina Akther & Nur Muhammed, 2011. "Environmental Kuznets Curve: the case of Bangladesh for waste emission and suspended particulate matter," Environment Systems and Decisions, Springer, vol. 31(1), pages 59-66, March.
    15. Aldieri, Luigi & Bruno, Bruna & Makkonen, Teemu & Vinci, Concetto Paolo, 2023. "Environmental innovations, geographically mediated knowledge spillovers, economic and environmental performance," Resources Policy, Elsevier, vol. 81(C).
    16. Shahrouz Abolhosseini & Almas Heshmati & Jorn Altmann, 2014. "The Effect of Renewable Energy Development on Carbon Emission Reduction: An Empirical Analysis for the EU-15 Countries," TEMEP Discussion Papers 2014109, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2014.
    17. Jie HE, 2005. "Economic Determinants for China’s Industrial SO2 Emission: Reduced vs. Structural form and the role of international trade," Working Papers 200505, CERDI.
    18. Datu Buyung Agusdinata & Rimjhim Aggarwal & Xiaosu Ding, 2021. "Economic growth, inequality, and environment nexus: using data mining techniques to unravel archetypes of development trajectories," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6234-6258, April.
    19. Tobias Angel & Alexandre Berthe & Valeria Costantini & Mariagrazia D’Angeli, 2024. "How the nature of inequality reduction matters for CO2 emissions," Working Papers 2024.14, Fondazione Eni Enrico Mattei.
    20. Granda, Catalina & Pérez, Luis Guillermo & Munoz, Juan Carlos, 2008. "The Environmental Kuznets Curve for Water Quality: An Analysis of its Appropriateness Using Unit Root and Cointegration Tests," Revista Lecturas de Economía, Universidad de Antioquia, CIE, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1634-:d:112002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.