Spatiotemporal evolution and influencing factors of tourism development efficiency in the Yangtze River Economic Belt, China

被引:33
作者
Chen, Qian [1 ,2 ,6 ]
Chen, Wanxu [3 ]
Wu, Di [1 ,2 ]
Zheng, Liang [4 ,5 ]
Li, Jiangfeng [1 ,6 ]
机构
[1] China Univ Geosci, Sch Publ Adm, Dept Land Resource Management, Wuhan 430074, Peoples R China
[2] Minist Nat Resources, Key Lab Rule Law Res, Wuhan 430074, Peoples R China
[3] China Univ Geosci, Sch Geog & Informat Engn, Dept Geog, Wuhan 430074, Peoples R China
[4] Changjiang Inst Survey Planning Design & Res, Wuhan 430014, Peoples R China
[5] Protect Minist Water Resources, Key Lab Changjiang Regulat, Wuhan 430014, Peoples R China
[6] China Univ Geosci, Sch Publ Adm, 388,Lumo Rd, Wuhan 430074, Hubei, Peoples R China
关键词
Tourism development efficiency; SBM-DEA; Spatial Markov chain; Tobit regression analysis; Influencing factors; Yangtze river economic belt; HIGH-SPEED RAIL; ECO-EFFICIENCY; ENVIRONMENTAL-REGULATION; ECOLOGICAL EFFICIENCY; SOCIOECONOMIC-FACTORS; SUSTAINABLE TOURISM; ECOSYSTEM SERVICES; COMPETITIVENESS; DESTINATION; INDUSTRY;
D O I
10.1016/j.jclepro.2022.134722
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Tourism is expanding worldwide with vital implications for narrowing the regional development gap and facilitating cultural exchange. Evidence on regional differences in the influencing factors and spatiotemporal characteristics of tourism development efficiency (TDE) can provide a scientific basis for the coordinated sus-tainable development of regional tourism. Nevertheless, there is a limited understanding of the spatial transfer characteristics of TDE and the regional heterogeneity. This study fills the gap by describing the spatial transfer characteristics of the TDE of the Yangtze River Economic Belt (YREB) during 2000-2019 by using slacks-based measure-data envelopment analysis, the Theil index, and spatial Markov chain methods. The influencing factors have been further discussed based on a quantitative analysis of both natural and socioeconomic factors using a Tobit regression analysis. The results demonstrated that the average efficiency of tourism development in the YREB had been at a moderate level from 2000 to 2019, thereby showing the decreasing characteristics of "upper reaches > middle reaches > lower reaches". The spatial transfer characteristics revealed the phenomenon of "spatiotemporal evolution convergence". Moreover, factors such as per capita GDP, the proportion of tourism in the service industry, and average temperature had significant impacts on TDE in the YREB, with different impact intensities. In particular, the TDE of the middle and lower reaches was more affected by socioeconomic factors, whereas the upper reaches were more affected by natural factors. The findings suggest that these influencing factors and the convergence of spatiotemporal evolution should be considered in the policymaking of high -quality and regional tourism development in the YREB.
引用
收藏
页数:11
相关论文
共 82 条
[1]   TOBIT MODELS - A SURVEY [J].
AMEMIYA, T .
JOURNAL OF ECONOMETRICS, 1984, 24 (1-2) :3-61
[2]   Tobit models in strategy research: Critical issues and applications [J].
Amore, Mario Daniele ;
Murtinu, Samuele .
GLOBAL STRATEGY JOURNAL, 2021, 11 (03) :331-355
[3]   A Bayesian non-parametric stochastic frontier model [J].
Assaf, A. George ;
Tsionas, Mike ;
Kock, Florian ;
Josiassen, Alexander .
ANNALS OF TOURISM RESEARCH, 2021, 87
[4]   Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier [J].
Assaf, A. George .
TOURISM MANAGEMENT, 2012, 33 (05) :1122-1127
[5]   Quantifying the spatial heterogeneity influences of natural and socioeconomic factors and their interactions on air pollution using the geographical detector method: A case study of the Yangtze River Economic Belt, China [J].
Bai, Ling ;
Jiang, Lei ;
Yang, Dong-yang ;
Liu, Yao-bin .
JOURNAL OF CLEANER PRODUCTION, 2019, 232 :692-704
[6]   Tourism and transport systems in mountain environments: analysis of the economic efficiency of cableways in South Tyrol [J].
Brida, Juan Gabriel ;
Deidda, Manuela ;
Pulina, Manuela .
JOURNAL OF TRANSPORT GEOGRAPHY, 2014, 36 :1-11
[7]   Influence of Chinese economic fluctuations on tourism efficiency in national scenic areas [J].
Cao, Fangdong ;
Huang, Zhenfang ;
Jin, Cheng ;
Xu, Min .
TOURISM ECONOMICS, 2016, 22 (05) :884-907
[8]   Chinese National Scenic Areas' Tourism Efficiency: Multi-scale Fluctuation, Prediction and Optimization [J].
Cao, Fangdong ;
Huang, Zhenfang ;
Jin, Cheng ;
Xu, Min .
ASIA PACIFIC JOURNAL OF TOURISM RESEARCH, 2016, 21 (05) :570-595
[9]   China's regional tourism efficiency: A two-stage double bootstrap data envelopment analysis [J].
Chaabouni, Sami .
JOURNAL OF DESTINATION MARKETING & MANAGEMENT, 2019, 11 :183-191
[10]   Ecoefficiency, environmental regulation opportunity costs, and interregional industrial transfers: Evidence from the Yangtze River Economic Belt in China [J].
Chen, Jin-Xiao ;
Zhang, Youguo ;
Zheng, Shilin .
JOURNAL OF CLEANER PRODUCTION, 2019, 233 :611-625