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  • Northeast Tourism Column
    Jia Lingjuan, Chen Xi, Shi Jieya
    ECOTOURISM. 2024, 14(5): 1072-1085. https://doi.org/10.12342/zgstly.20240133

    Urban scenic spots are important driving factors for promoting the adjustment of urban elements and spatial evolution. Based on the field theory and spatial production theory, this paper constructs a spatial evolution analysis framework for the development of tourism field driven by urban scenic spots. Taking Harbin Ice-Snow World as an example, this paper analyzes the spatial evolution process and mechanism of constructing tourism field centered on urban scenic spots. The study found that: (1) in the process of construction and development of urban scenic spots, policy support and the participation of actors have made scenic spots and their surrounding areas increasing in the number of tourism elements improving the element system. (2) The development of tourism field is a spatial evolution process driven by growth poles, that is, after the development of scenic spots, they gradually become regional growth poles and expand to the surrounding space. The production space and consumption space penetrate into each other during the expansion process, thus forming a tourism field. (3) Power domination, capital intervention, and habitus guidance work together in the process of urban scenic spots driving the development of tourism field. The interest coordination and behavioral coordination among actors promote the adjustment and allocation of elements in the region, and finally form a tourism field with a stable spatial production structure. This paper expands the application scenarios of field theory, and the research conclusions can provide useful references for the high-quality development of urban tourism and the optimization of urban spatial layout.

  • Northeast Tourism Column
    Cong Xueping, Wang Yongxia, Yang Jun, Tian Shenzhen
    ECOTOURISM. 2024, 14(5): 1086-1102. https://doi.org/10.12342/zgstly.20240123

    The human settlements environment of coastal cities is an important foundation for the development of coastal tourism, yet vulnerable to disasters. Based on the panel data of 17 coastal cities in the Bohai Rim from 2010 to 2021, this paper comprehensively uses the entropy weight-TOPSIS model and the coupling coordination degree model to explore the tempo-spatial evolution features of the coupling coordination between tourism economy and human settlements resilience, and uses the obstacle degree model to identify the obstacle factors preventing the coordinated development of the two systems. The results show that: (1) during the study period, the development level of tourism economy and human settlements resilience shows a slow fluctuating upward trend, but the latter was better than the former; the spatial differentiation characteristics of the two systems are similar, showing a “multi-pole” pattern with three typical tourist cities of Tianjin, Dalian and Qingdao as high-value areas, and the low-value areas are concentrated in the northwest and southwest regions of the Bohai Rim. (2) The level of coupled coordination of tourism economy and human settlements resilience of coastal cities in the Bohai Rim has gradually evolved from the stage of near-disorder at the beginning of the research period to the stage of bare coordination at the end of the research period, and dominant type of the coupling coordination is economy lagging behind human settlements resilience type; the coordination level of typical tourist cities represented by Tianjin, Dalian and Qingdao is higher than that of non-traditional tourist cities such as Cangzhou, Binzhou, Jinzhou and Huludao. (3) The lagging development of tourism economy has always been the bottleneck of the improvement of the coordination level of the two systems. Multiple factors such as the downturn of the inbound tourism market, the insufficient reception of domestic tourists and the imperfect tourism service facilities restrict the coordinated development of the two systems.

  • Northeast Tourism Column
    Shi Yanrong, Chen Ganghua, Zhang Yan
    ECOTOURISM. 2024, 14(5): 1103-1117. https://doi.org/10.12342/zgstly.20240125

    In the post-Winter Olympics era, the competition in the ski resort market is becoming increasingly intensive, thus ski resorts are urgently requested to improve and upgrade themselves to meet new market demands and achieve sustainable development. However, previous literature has not identified the asymmetrical relationships between attributes and tourist satisfaction. In this study, using the Changbai Mountain Wanda International Resort as a case study area, we employed Impact-Range Performance Analysis (IRPA) and Impact Asymmetry Analysis (IAA) to evaluate the asymmetrical influences of resort attributes on tourist satisfaction from the perspective of tourist’ perception (N=344). The results indicate that: (1) ski slopes at case site have significant impact on tourist satisfaction but underperformed as an attribute in need of improvement. (2) Accommodation, climate and natural environment, safety management, and cultural environment are highly rated by tourists, and are proved to have a significant and positive impact on tourist satisfaction. (3) Among all the attributes, cable cars are delighters, strongly associated with high tourist satisfaction; instructors, dining, and routine management, as hybrids, and have a linear relationship with satisfaction. Accommodation, cultural environment, staff, accessibility, entertainment, and smart services and management are dissatisfier and frustrators, as they are more likely to cause tourist dissatisfaction. The findings of this study not only deepen the understanding of the differential impact of different attributes of ski resorts on tourist’ experience from the perspective of tourist’ perception, but also provide theoretical references for the optimization of services and management of similar ski resorts in Changbai Mountains and Northeast China.

  • Northeast Tourism Column
    Tang Chengcai, Wang Xiyu, Han Ying, Song Xinyi, Liang Jiaojiao, Li Yifei, Liu Limei
    ECOTOURISM. 2024, 14(5): 1118-1128. https://doi.org/10.12342/zgstly.20240201

    Network attention is a key indicator measuring public interest in tourism destinations. Based on the network attention to tourism data of “Baidu index”, this research analyzes the spatio-temporal characteristics of network attention to tourism in eight China-Russia border cities in Heilongjiang Province from 2015 to 2023 by using the seasonal intensity index and geographic concentration index, followed by the influencing factors exploration by means of geographic detectors from 2019 to 2022. The findings indicate that: (1) the network attention to tourism of research areas in 2015-2023 manifests obvious seasonality and periodicity with peaks in summer and troughs in winter. Overall, the trend followed a “decline-rise-decline-recovery” trajectory. (2) Typical tourism cities (such as Heihe, Mudanjiang, Jiamusi, etc.) have relatively stable spatial distribution characteristics of network attention to tourism, with extensive, stable and sustainable tourism markets. The attention space of atypical tourist cities (such as Jixi, Shuangyashan, Hegang, etc.) fluctuates significantly. As a typical tourist city, the attention of Mohe also shows significant spatial fluctuations, indicating that the tourist city is in a dynamic development stage under the influence of multi-dimensional factors. (3) The spatial patterns of network attention to tourism in these border cities were influenced by economic, ecological, and social factors. Among these, GDP level, average low temperature and population density had a significant impact. The interaction of these multiple factors influences the change of the spatial pattern of network attention to tourism in the border cities.

  • Northeast Tourism Column
    Li Jun, Zheng Rumin, Mei Lin, Sun Tianyuan
    ECOTOURISM. 2024, 14(5): 1129-1139. https://doi.org/10.12342/zgstly.20240130

    Under the superimposed influence of the post-Winter Olympics era and post-pandemic consumption, ice and snow sports have entered a stage of rapid development. This paper constructs an evaluation index system for the high-quality development level of the ice and snow tourism industry in Jilin Province from 2013 to 2022 by using the entropy value method, and utilizes the grey relational model to explore its driving factors. The research findings are as follows: (1) the overall level of high-quality development of ice and snow tourism industry in Jilin presents a fast rising trend, but there are certain differences in the internal dimensions of high-quality development, the level of more stable in the dimensions of innovation and green development, the level in the four dimensions of the stability, coordination, openness, and shared development dimensions are more sensitive to the social economy. (2) Among the contribution rates of various dimensions, innovation development has the highest contribution rate, followed by green development and stable development. Coordination development has the lowest contribution rate. (3) There are differences in the influence of each factor on the level of high-quality development of the ice and snow tourism industry in Jilin and its dimensions, and the three major driving forces of industrial demand, industrial supply, and industrial environment positively promote the high-quality development of ice and snow tourism industry. Accordingly, the paper proposes countermeasures and suggestions, in terms of vigorously stimulating industrial demand, continuously optimizing industrial supply, and create a favorable industrial environment to achieve the high-quality development of the ice and snow tourism industry in the province.