Literature DB >> 33567625

Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation.

Yue Pan1, Gangmin Weng1, Conghui Li1, Jianpu Li1.   

Abstract

To discuss the coupling coordination relationship among tourism carbon emissions, economic development and regional innovation it is not only necessary to realize the green development of tourism economy, but also great significance for the tourism industry to take a low-carbon path. Taking the 30 provinces of China for example, this paper calculated the tourism carbon emission efficiency based on the super-efficiency Slacks based measure and Data envelope analyse (SBM-DEA) model from 2007 to 2017, and on this basis, defined a compound system that consists of tourism carbon emissions, tourism economic development and tourism regional innovation. Further, the coupling coordination degree model and dynamic degree model were used to explore its spatiotemporal evolution characteristics of balanced development, and this paper distinguished the core influencing factors by Geodetector model. The results showed that (1) during the study period, the tourism carbon emission efficiency showed a reciprocating trend of first rising and then falling, mainly due to the change of pure technical efficiency. (2) The coupling coordination degree developed towards a good trend, while there were significant differences among provinces, showing a gradient distribution pattern of decreasing from east to west. Additionally, (3) the core driving factors varied over time, however, in general, the influence from high to low were as follows: technological innovation, economic development, urbanization, environmental pollution control, and industrial structure. Finally, some policy recommendations were put forward to further promote the coupling coordination degree.

Entities:  

Keywords:  driving factors; spatiotemporal evolution; ternary coupling coordination model; tourism carbon emission efficiency; tourism economy; tourism innovation

Mesh:

Substances:

Year:  2021        PMID: 33567625      PMCID: PMC7914973          DOI: 10.3390/ijerph18041601

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  3 in total

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Journal:  Int J Environ Res Public Health       Date:  2020-01-15       Impact factor: 3.390

  3 in total
  10 in total

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2.  Carbon Emissions of the Tourism Telecoupling System: Theoretical Framework, Model Specification and Synthesis Effects.

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3.  Eco-Efficiency and Its Drivers in Tourism Sectors with Respect to Carbon Emissions from the Supply Chain: An Integrated EEIO and DEA Approach.

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4.  The Carbon Emission Reduction Effect of Tourism Economy and Its Formation Mechanism: An Empirical Study of China's 92 Tourism-Dependent Cities.

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Journal:  Int J Environ Res Public Health       Date:  2022-02-05       Impact factor: 3.390

5.  Impacts of Environmental Regulations on Tourism Carbon Emissions.

Authors:  Qiao Chen; Yan Mao; Alastair M Morrison
Journal:  Int J Environ Res Public Health       Date:  2021-12-06       Impact factor: 3.390

6.  Coupling Coordination Degree between the Socioeconomic and Eco-Environmental Benefits of Koktokay Global Geopark in China.

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7.  Spatiotemporal Characteristics and Influencing Factors of Tourism-Urbanization-Technology-Ecological Environment on the Yunnan-Guizhou-Sichuan Region: An Uncoordinated Coupling Perspective.

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8.  Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China.

Authors:  Duoxun Ba; Jing Zhang; Suocheng Dong; Bing Xia; Lin Mu
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

9.  Analysis on the Spatial-Temporal Evolution Characteristics and Spatial Network Structure of Tourism Eco-Efficiency in the Yangtze River Delta Urban Agglomeration.

Authors:  Yiyang Sun; Guolin Hou
Journal:  Int J Environ Res Public Health       Date:  2021-03-04       Impact factor: 3.390

10.  Examination and Forecast of Relationship among Tourism, Environment, and Economy: A Case Study in Shandong Province, China.

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Journal:  Int J Environ Res Public Health       Date:  2022-02-23       Impact factor: 3.390

  10 in total

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