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作 者:HUANG Xingling LIU Jianguo 黄杏灵;刘建国
机构地区:[1]College of Tourism and Service Management,Nankai University,Tianjin 300071,China [2]Tourism College of Beijing Union University,Beijing 100101,China [3]Department of City and Regional Planning,The University of North Carolina at Chapel Hill,NC 27599,USA
出 处:《Journal of Geographical Sciences》2024年第9期1761-1796,共36页地理学报(英文版)
基 金:National Natural Science Foundation of China,No.41771131;China Scholarship Council,No.202008110050;Key Program for Scientific Research of Beijing Union University,No.SKZD202306。
摘 要:Green development is a critical component of sustainable tourism, which prioritizes a comprehensive, ecologically-friendly, and people-oriented approach to development. This study presents a case study of the Beijing–Tianjin–Hebei(BTH) urban agglomeration from 2001 to 2021 to analyze the spatio-temporal evolution characteristics and influencing factors of tourism green development efficiency(TGDE). The study defines the concept of tourism green development and constructs an evaluation system, which is used to explore the internal differences and spatial patterns of TGDE within the urban agglomeration. The methodological approach includes the SBM–Undesirable model, kernel density estimation, Markov chain, and spatial gravity model. The findings indicate that the TGDE in the BTH urban agglomeration is generally favorable, displaying a temporal phase of “rising–declining–rising.” However, the study observes lower TGDE in tourism node cities compared to tourism regional center cities and tourism core hub cities. The non-equilibrium degree of each region indicates significant spatio-temporal evolution patterns and internal differences among the three regions, with a spatially decreasing distribution of “core hub-regional center-node city.” The TGDE in the urban agglomeration experienced an evolutionary trend of “first decreasing and then increasing” with apparent endogenous evolution characteristics. The linkage pattern of green development efficiency in the tourism industry between cities is relatively stable. Furthermore,neighboring cities generally exhibit a higher spatial connectivity strength of green development efficiency in the tourism industry compared to non-neighboring cities. Economic development level, industrial structure, and science and education level are identified as key factors that affect TGDE. However, the study finds that the factors influencing TGDE in tourism core hub cities, tourism regional center cities, and tourism node cities differ somewhat. Economic development lev
关 键 词:BTH urban agglomeration tourism green development efficiency(TGDE) spatio-temporal evolution
分 类 号:X322[环境科学与工程—环境工程] F592.7[经济管理—旅游管理]
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