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“双碳”目标下黄河流域旅游绿色生产率时空分异特征及影响因素——以陕西段为例
Spatio-Temporal Differentiation Characteristics and Influencing Factors of Tourism Green Productivity in the Yellow River Basin under the Target of “Dual Carbon”:Taking Shaanxi Section as an Example
【摘要】 陕西作为黄河流域旅游资源赋存高密度区,其绿色发展对黄河流域高标准高质量地实现“双碳”目标起着重要作用。收集2010—2021年相关数据,采用非期望产出的SBM模型、ML指数及Tobit回归模型等方法对陕西旅游绿色生产率(TGTFP)的时空分异特征及影响因素进行了分析。研究表明:(1)在时序发展上,2010—2021年内陕西旅游能源消耗与碳排放总量呈上升态势,其静态TGTFP唯有2017年实现有效,动态ML指数在2010—2013年和2014—2019年内实现有效,但其他年份均表现为无效,在发展过程中均呈左高右低的山峰型。(2)在空间分异上,TGTFP呈现“关中最强,陕北高于陕南”的分异特征,三大区域内部市域发展渐趋均衡,而三大区域间分化显著导致了陕西总差异扩大。(3)影响因素上,政府干预、环境规制及城镇化水平等外部因素对陕西旅游绿色生产率具有显著的推动作用,但仍有强烈的内部阻力来自旅游总收入、旅游能源消费及碳排放。
【Abstract】 Shaanxi as a high density area of tourism resources of the Yellow River Basin,its green development plays an important role in achieving the high standard and high quality “double carbon” goal.Collection of data for 2010-2021,the spatio-temporal differentiation characteristics and influencing factors of tourism green productivity (TGTFP) in Shaanxi were analyzed by means of unintended output SBM Model,ML index and Tobit Regression Model.The study showed:(1) In the development of timing,the total consumption of tourism energy and carbon emissions in Shaanxi in 2010-2021 is on the rise,and its static TGTFP is only effective in 2017,the Dynamic ML Index was effective in 2010-2013 and 2014-2019,but was invalid in all other years,in the process of development,both have a left-high and right-low peaks.(2) In terms of spatial differentiation,TGTFP presents the differentiation characteristics of “Guanzhong the strongest,North Shaanxi is higher than South Shaanxi”,and the development within the region has become more balanced,and the division between the three regions has significantly led to the widening of the total differences in Shaanxi.(3) In terms of influencing factors,external factors of government intervention,environmental regulation and urbanization level have a significant effect on the green productivity of Shaanxi tourism,but there are still strong internal resistance from total tourism revenue,tourism energy consumption and carbon emissions.
【Key words】 tourism green total factor productivity; unintended output SBM model; spatio-temporal differentiation; influencing factors; Shaanxi;
- 【文献出处】 生态经济 ,Ecological Economy , 编辑部邮箱 ,2024年07期
- 【分类号】F592.7;X322
- 【下载频次】320