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RESEARCH ON CHINA'S TOURISM CARBON EMISSION EFFICIENCY AND ITS INFLUENCING FACTORS

机译:中国旅游碳排放效率及其影响因素研究

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The paper uses super-efficiency DEAto measure the carbon emission efficiency of China's 30 provinces in 2010-2017. The research shows that carbon emission efficiency in Beijing, Tianjin, Liaoning, Shanghai, Jiangsu, Zhejiang, Shandong, Henan, Guangdong and Chongqing. Both are above 0.6; tourism carbon emission efficiency in Hebei, Shanxi, Inner Mongolia, Jilin, Heilongjiang, Anhui, Fujian, Jiangxi, Hubei, Hunan, Guangxi, Hainan, Sichuan, Guizhou, Yunnan and Shaanxi is between 0.3 and 0.6, which is moderate. Efficiency range; low-efficiency provinces below 0.3 have Gansu, Qinghai, Ningxia, Xinjiang and other regions. At the same time, Tibot model is used to verify the influencing factors affecting the carbon emission efficiency of China's tourism industry. It is concluded that the service industry development level, urbanization level, location conditions, opening level and socio-economic development level are negatively correlated with China's tourism carbon emission efficiency. However, there is no significant relationship between tourism resource endowment and carbon emission efficiency. On this basis, suggestions for improving tourism carbon emission efficiency are proposed.
机译:本文使用超高效DEA来衡量2010-2017年中国30个省的碳排放效率。研究表明,北京,天津,辽宁,上海,江苏,浙江,山东,河南,广东和重庆的碳排放效率。两者都在0.6以上;河北,山西,内蒙古,吉林,黑龙江,安徽,福建,江西,湖北,湖南,广西,海南,四川,贵州,云南和陕西的旅游碳排放效率在0.3至0.6之间,处于中等水平。效率范围; 0.3以下的低效省份有甘肃,青海,宁夏,新疆等地区。同时,利用Tibot模型验证了影响中国旅游业碳排放效率的影响因素。结论是,服务业的发展水平,城市化水平,区位条件,开放水平和社会经济发展水平与中国旅游业碳排放效率呈负相关。但是,旅游资源end赋与碳排放效率之间没有显着关系。在此基础上,提出了提高旅游业碳排放效率的建议。

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