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

机译:旅游碳排放旅游经济与旅游创新之间的协调与影响因素

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摘要

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.
机译:为了讨论旅游碳排放,经济发展和区域创新的耦合协调关系,不仅需要实现旅游经济的绿色发展,而且对旅游业采取低碳路径的重要意义。举办中国30个省,例如,根据基于超级效率的节奏和数据包络分析(SBM-DEA)模型,从2007年到2017年,根据这一基础,并在此基础上,确定了一个复合系统的旅游碳排放效率由旅游碳排放,旅游经济发展和旅游区域创新组成。此外,耦合协调程度模型和动态程度模型用于探讨其平衡发展的时空演化特性,本文通过地理传感器模型区分了核心影响因素。结果表明,(1)在研究期间,旅游碳排放效率呈现出首次上升,然后落下的往复趋势,主要是由于纯技术效率的变化。 (2)耦合协调程度达到良好趋势,而省份之间存在显着差异,呈现出从东部到西部减少的梯度分布模式。此外,(3)核心驱动因子随着时间的变化而变化,但总的来说,高低的影响如下:技术创新,经济发展,城市化,环境污染控制和产业结构。最后,提出了一些政策建议,以进一步促进耦合协调学位。

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