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

Yue Pan, Gangmin Weng, Conghui Li and Jianpu Li
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Yue Pan: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Gangmin Weng: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Conghui Li: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Jianpu Li: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China

IJERPH, 2021, vol. 18, issue 4, 1-17

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.

Keywords: tourism carbon emission efficiency; tourism economy; tourism innovation; ternary coupling coordination model; spatiotemporal evolution; driving factors (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)

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