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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China
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Measurement and Spatial Variation of Green Total Factor Productivity of the Tourism Industry in China

机译：中国旅游业绿色全要素生产率的测度与空间变异

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Promoting tourism in China using sustainable practices has become a very important issue. In order to analyze temporal characteristics and spatial regularities of green total factor productivity (GTFP), carbon emissions and the consumption of energy related to tourism in China were estimated using a "bottom-up" method. The construction of a measurement framework (including carbon emissions and energy consumption) of GTFP for the tourism industry was also undertaken. The data envelopment analysis (DEA) model and the Malmquist–Luenberger (ML) index were used to measure and calculate tourism GTFP in China between 2007 and 2018, as well as analyze spatio-temporal differences. Results indicate that: (1) carbon emissions and the consumption of energy are increasing, and they have not yet peaked, with traffic associated with tourism accounting for the largest proportion among tourism sectors; the spatial distribution of carbon emissions and the consumption of energy is not balanced; (2) green development of tourism in China has achieved a good level of performance during the study period, driven by technical efficiency. Since 2014, pure technical efficiency (PE) has been >1, indicating that the tourism industry in China has entered a stage of change and promotion; (3) significant spatial differences exist in tourism GTFP in China. For example, the overall pattern of being strongest in the east and weakest in the west has not changed. Currently, eastern, central, and western regions in China rely on different dynamic mechanisms to promote tourism green development. In addition, some provinces have become the core or secondary growth poles of tourism green development in China.
机译：利用可持续发展的实践来促进中国的旅游业已经成为一个非常重要的问题。为了分析绿色全要素生产率（GTFP）的时间特征和空间规律，采用“自下而上”的方法估算了中国旅游业的碳排放量和能源消耗。还为旅游业建立了GTFP的衡量框架（包括碳排放和能源消耗）。数据包络分析（DEA）模型和Malmquist-Luenberger（ML）指数用于测量和计算2007年至2018年间中国旅游业的GTFP，并分析时空差异。结果表明：（1）碳排放量和能源消耗正在增加，尚未达到峰值，与旅游业相关的交通在旅游业中所占比例最大；碳排放的空间分布与能源消耗不平衡； （2）在研究期间，在技术效率的推动下，中国旅游业的绿色发展取得了良好的绩效。自2014年以来，纯技术效率（PE）一直大于1，这表明中国旅游业已进入变革和促进阶段； （3）中国旅游GTFP存在明显的空间差异。例如，东部最强，西部最弱的总体格局没有改变。当前，中国东部，中部和西部地区依靠不同的动力机制来促进旅游业绿色发展。此外，一些省份已成为中国旅游绿色发展的核心或次要增长极。

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