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Tourism eco-efficiency of Chinese coastal cities-Analysis based on the DEA-Tobit model

机译:中国沿海城市旅游生态效率-基于DEA-Tobit模型的分析

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Tourism eco-efficiency plays an important role in the environment due to serious environment pollution and resource consumption. An evaluation of the tourism eco-efficiency of 53 Chinese coastal cities was conducted for 2003-2013, exploring the overall efficiency levels, regional differences, eco-efficiency types and influencing factors. To achieve the objectives of the study, a data envelopment analysis (DEA)-Tobit model is applied. The major findings indicate that the overall tourism eco-efficiency of Chinese coastal cities is 0.860, which means that only a few cities are effectively efficient and that most cities still have room for improvement. This finding implies that tourism development has a more negative impact on the environment and that there are substantial regional differences in efficiency. The results also show that economic and ecological indicators have significantly positive influences on the tourism eco-efficiency of Chinese coastal cities, while the number of tourists and the use of three major pollutants in the tourism industry have a negative impact. We identify several influencing factors and propose several suggestions for increasing tourism eco-efficiency and the development quality of Chinese coastal cities. (C) 2017 Published by Elsevier Ltd.
机译:由于严重的环境污染和资源消耗,旅游业生态效率在环境中起着重要作用。对2003-2013年中国53个沿海城市的旅游生态效率进行了评估,探讨了整体效率水平,区域差异,生态效率类型和影响因素。为了实现研究目的,应用了数据包络分析(DEA)-Tobit模型。主要发现表明,中国沿海城市的整体旅游生态效率为0.860,这意味着只有少数几个城市具有有效的效率,而且大多数城市仍有改善的空间。这一发现表明,旅游业的发展对环境产生了更大的负面影响,并且在效率上存在着很大的区域差异。结果还表明,经济和生态指标对中国沿海城市的旅游生态效率具有显着的正向影响,而游客人数和旅游业中三种主要污染物的使用则具有负面影响。我们确定了几个影响因素,并对提高旅游生态效率和中国沿海城市的发展质量提出了一些建议。 (C)2017由Elsevier Ltd.发布

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