期刊：
Frontiers in Environmental Science,2023年11:1260949 ISSN：2296-665X
通讯作者：
Li, XM
作者机构：
[Shi, Pengfei] Southwest Univ, Sch Econ & Management, Chongqing, Peoples R China.;[Long, Huibing] Hunan Univ, Sch Econ & Trade, Changsha, Peoples R China.;[Yao, Yikun] Sun Yat Sen Univ, Coll Tourism Management, Guangzhou, Peoples R China.;[Li, Xingming; Li, XM] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.;[Wang, Xinrui] Shandong Vocat & Tech Univ Int Studies, Sch Foreign Languages, Rizhao, Peoples R China.
通讯机构：
[Li, XM ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
关键词：
tourism green production efficiency(TGPE);Space-time characteristics;Spatial spillover effect;Yangtze;Influence factors
摘要：
Tourism green production efficiency serves as the foundation for assessing the mutual coupling performance of the tourism economy and the ecological environment. In this paper, the tourism carbon sink is included in the measurement framework, and the TGPE of 41 cities in the Yangtze River Delta region from 2011 to 2019 is estimated by the Super-SBM model. Furthermore, kernel density estimate, spatial autocorrelation, Markov chain and spatial Durbin model are further integrated to explore its spatio-temporal evolution process, spatial effects and influencing factors. The results show that 1) TGPE in the Yangtze River Delta has been increasing during the study period. The high-efficiency and low-efficiency areas of the TGPE have a bipolar pattern characterized by "low-low convergence" and "high-high convergence." 2) There is considerable spatial variation in TGPE from north to south. The number of hot spots and sub-hot spots increases in volatility, whereas the number of sub-cold spots and cold spots decreases. 3) Although cities with low levels of TGPE have a higher probability of moving to the next level, grade transformation across hierarchies is difficult to attain. When considering the factor of adjacent types and the influence of spatial lag on the transfer probability. 4) The positive spatial spillover effects of TGPE is significant. At the same time, economic development level, transport accessibility and tourism industry agglomeration have positive spillover effects on neighboring cities. Conversely, urbanization level and openness level have negative spillover effects.
期刊：
International Journal of Environmental Research and Public Health,2022年19(17):10944- ISSN：1661-7827
通讯作者：
Xingming Li<&wdkj&>Lina Xiong
作者机构：
[Ma, Chenjiao; Nie, Silin; Zhang, Xiang] Cent China Normal Univ, China Inst Tourism, Wuhan Branch, Wuhan 430079, Peoples R China.;[Li, Xingming; Zhang, Xiang] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.;[Ma, Chenjiao; Li, Xingming; Nie, Silin; Zhang, Xiang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Xiong, Lina] Colorado State Univ, Dept Human Dimens Nat Resources, Ft Collins, CO 80523 USA.
通讯机构：
[Xingming Li; Lina Xiong] A;Authors to whom correspondence should be addressed.<&wdkj&>Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China<&wdkj&>College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA
关键词：
air pollution;inbound tourism;fixed effect model;Yangtze River Economic Belt;environmental impact
摘要：
The prevalent air pollution along the Yangtze River Economic Belt (YREB) possesses a significant threat to the natural environment, which further affects nearby tourism destination development. The paper seeks to assess the impact of air pollution on tourism in this region through a 2002-2012 panel data of 31 prefecture-level cities, along with geographic information system (GIS) and cluster analyses. The results reveal that air pollution is negatively associated with the number of inbound tourists along the YREB. In general, when air pollution intensifies by 1%, the number of inbound tourists decreases by 1.171%. This impact is more evident when air pollution is more severe, in the long term, and in areas that are larger, more central, and with more tourism resources. The paper contributes to the literature by addressing common limitations in previous studies and providing a more comprehensive evaluation of air pollution's impact on inbound tourism in the YREB. Practical implications regarding public policies and development directions based on air pollution periods, regions, and tourism resource allocations are provided.
