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作 者:王珊 张泽矩 王梦涵 韩佳莹 王艾 WANG Shan;ZHANG Zeju;WANG Menghan;HAN Jiaying;WANG Ai(College of Resource and Environmental Economics,Inner Mongolia University of Finance and Economics,Hohhot 010070,Inner Mongolia,China;College of Finance and Taxation,Zhejiang University of Finance and Economics,Hangzhou 310018,Zhejiang,China;Comprehensive Security Center,Department of Agriculture and Animal Husbandry of Inner Mongolia Autonomous Region,Hohhot 010011,Inner Mongolia,China)
机构地区:[1]内蒙古财经大学资源与环境经济学院,内蒙古呼和浩特010070 [2]浙江财经大学财政税务学院,浙江杭州310018 [3]内蒙古自治区农牧厅综合保障中心,内蒙古呼和浩特010011
出 处:《财经理论研究》2025年第1期71-83,共13页Journal of Finance and Economics Theory
基 金:国家社会科学基金西部项目(18XMZ070);内蒙古财经大学自治区“五大任务”研究专项课题(NCXWD2467)。
摘 要:针对中国省域及区域旅游业碳排放效率问题展开研究,旨在推动旅游业向低碳模式转型,助力实现国家“双碳”目标。利用超效率-SBM模型对2007-2021年中国省域旅游业碳排放效率进行综合测度,通过引入Dagum基尼系数分析方法,揭示了旅游业碳排放效率的区域差异及其动态变化趋势。结果显示,中国省域旅游业碳排放效率经历了先升(2007-2011年),后降(2012-2015年),再升(2016-2019年),以及2020-2021年因疫情下滑的“M”形波动,技术进步成为推动效率增长的关键因素,尽管整体效率水平提升,但仍面临效率低下与转型压力。中国各区域旅游业碳排放效率存在显著的时空异质性,旅游业碳排放效率的提升受区域间空间分异和超变密度差异的显著影响,区域内效率差异相对较小,但区域间的样本重叠与差异对协同减排构成挑战。This study investigates the issue of carbon emission efficiency in the tourism industry across China′s provinces and regions,aiming to promote the transition of the tourism industry toward a low-carbon model and support the achievement of the national"dual carbon"goals.Using the super-efficiency SBM model,the carbon emission efficiency of China′s provincial tourism industry from 2007 to 2021 was comprehensively measured.The study reveals regional disparities and dynamic trends in the carbon emission efficiency of the tourism industry by introducing the Dagum Gini coefficient analysis method.The results indicate that the carbon emission efficiency of China′s provincial tourism industry experienced an"M-shaped"fluctuation:rising initially(2007-2011),then declining(2012-2015),rising again(2016-2019),and dropping during 2020-2021 due to the pandemic.Technological progress emerged as a key driver of efficiency improvement.Although the overall efficiency level has risen,the industry still faces challenges of inefficiency and transformation pressure.Significant spatial and temporal heterogeneity exists in the carbon emission efficiency of the tourism industry across China′s regions.The improvement of carbon emission efficiency in the tourism sector is significantly influenced by spatial differentiation and hypervariable density differences between regions.While intra-regional efficiency disparities are relatively small,inter-regional sample overlaps and differences pose challenges to coordinated emission reduction efforts.
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