The analysis of the spatial distribution of tourism resources and the identification of its influencing factors are crucial for supporting the sustainable development of regional tourism.This study established a compr...The analysis of the spatial distribution of tourism resources and the identification of its influencing factors are crucial for supporting the sustainable development of regional tourism.This study established a comprehensive database of tourism resources in Ningxia Hui Autonomous Region(Ningxia)through a combination of literature review and field research.It examined the quantitative,qualitative,and categorical characteristics of tourism resources in Ningxia,and determined the spatial patterns based on kernel density and spatial association analysis.This study also comprehensively evaluated the societal,economic,and environmental factors influencing the spatial distribution of tourism resources in the entire region by employing the geographical detector model to quantify the influence of each factor.The following results were obtained.(1)There were 29218 individual tourism resources in Ningxia,comprising eight main types,23 subtypes,and 105 fundamental types,and they exhibit a hierarchical pyramidal structure.(2)The tourism resources in Ningxia displayed characteristics of“widespread regional dispersion and limited regional agglomeration”.The spatial distribution of tourism resources was highly imbalanced,and most types of tourism resources exhibit strong positive spatial correlation.(3)The altitude,annual precipitation,population density,distance from urban centers,urbanization rate,and per capita GDP were identified as significant factors influencing the spatial distribution of tourism resources in Ningxia.Based on the results,we recommend that the government should formulate tourism development policies in Ningxia based on local conditions to effectively address the spatial imbalances,enhance the sustainability of tourism development,and continue to promote high-quality tourism development in Ningxia.展开更多
By utilizing the panel data of 26 cities in the Yangtze River Delta urban agglomeration of China from 2000 to 2018, this study constructs a panel threshold model to examine the nonlinear relationship between Tourism E...By utilizing the panel data of 26 cities in the Yangtze River Delta urban agglomeration of China from 2000 to 2018, this study constructs a panel threshold model to examine the nonlinear relationship between Tourism Environmental Carrying Capacity(TECC) and Tourism Industry Agglomeration(TIA). TECC is evaluated based on the Driver-Pressure-State-Impact-Response(DPSIR) model, and TIA is estimated by the location quotient index.The analysis reveals that TIA and TECC both show growth trends and significant regional differences among the 26cities, but the latter fluctuates at certain stages. Moreover, TIA has a significant double threshold effect on TECC,which shows that the positive impact of TIA is enhanced initially but then weakens afterwards. Theoretically, this study contributes to enriching the current literature on TECC from the perspective of TIA. Practically, it could help local governments effectively arrange agglomerations to promote the sustainable development of the tourism industry in China.展开更多
The successful bid for the 2022 Winter Olympics has provided a new opportunity for the popularization of ice-snow sports and making improvements in the efficiency of ice-snow tourism in China.Taking Zhangjiakou City i...The successful bid for the 2022 Winter Olympics has provided a new opportunity for the popularization of ice-snow sports and making improvements in the efficiency of ice-snow tourism in China.Taking Zhangjiakou City in Hebei Province as the research object and using questionnaire analysis and the structural equation model(SEM),this paper examined several hypotheses of the relationship between tourist experiential value and tourist loyalty in the context of ice-snow tourism,and a mediation analysis was conducted to explore the moderating role of travel companions.The results show that:(1)The functional value,emotional value and social value have significant positive effects on tourist loyalty;(2)Tourist satisfaction is a partial mediator between functional value,emotional value,social value and tourist loyalty,and a full mediator between cognitive value and tourist loyalty;and(3)Travel companions play a significant moderating role in the influence of emotional value on tourist loyalty.Based on these findings,several suggestions are put forward for the high-quality development of ice-snow tourism in China,including developing ice-snow family tourism products,building an ice-snow brand with winter Olympics characteristics,constructing the ice-snow industrial system,and cultivating ice-snow culture.展开更多
Tourism resources are the basic materials of tourism development, and they also provide the support for regional tourism spatial competition. The development of tourism depends on the degree to which tourism resources...Tourism resources are the basic materials of tourism development, and they also provide the support for regional tourism spatial competition. The development of tourism depends on the degree to which tourism resources are utilized, and it is of great guiding significance for their development and utilization to study their spatial structure. Based on a large sample of data on tourism resources, and starting from the characteristics of multi-type,multi-level and multi-combination, this paper puts forward a framework and method for analyzing the spatial structure of tourism resources. Taking Hainan Island as an example, this paper describes the spatial structure of tourism resources in Hainan Island by using the method of point pattern analysis, identifies the tourism resource development zones, and puts forward some suggestions for the development of tourism resources. The results are as follows:(1) The characteristic scale of the spatial structure of tourism resources in Hainan Island is 30.5 km, and there are significant differences in the distributions of all kinds of tourism resources.(2) Through the spatial structure map of tourism resources, the tourism resource development zones are identified, including three tourist central city levels, “one horizontal and three vertical” tourist belts and four tourist combination areas.(3) By combing the distribution of tourism resources and the development zones in Hainan Island, the cross-border characteristics of the tourism resources and development zones are obvious. In order to give full play to the spatial combination and superposition effect of tourism resources, a change from a single isolated development mode to the overall combined development between regions is suggested. On the provincial scale, it is relatively accurate to describe the spatial structure of tourism resources for point data with a large sample size. However, the method of point pattern analysis can not only accurately describe the spatial structure of tourism resources, but it can also provide reference for other types of regional spatial analyses. The research results provide a scientific basis for the spatial planning of regional tourism resources and have practical significance for the development of regional tourism.展开更多
基金The Natural Science Foundation of Shandong Province(ZR2020QD008,ZR2022QD132)The Fundamental Research Funds for the CentralUniversities(202213002)The Rural Revitalization Project of Ocean University of China(ZX2024007).
文摘The analysis of the spatial distribution of tourism resources and the identification of its influencing factors are crucial for supporting the sustainable development of regional tourism.This study established a comprehensive database of tourism resources in Ningxia Hui Autonomous Region(Ningxia)through a combination of literature review and field research.It examined the quantitative,qualitative,and categorical characteristics of tourism resources in Ningxia,and determined the spatial patterns based on kernel density and spatial association analysis.This study also comprehensively evaluated the societal,economic,and environmental factors influencing the spatial distribution of tourism resources in the entire region by employing the geographical detector model to quantify the influence of each factor.The following results were obtained.(1)There were 29218 individual tourism resources in Ningxia,comprising eight main types,23 subtypes,and 105 fundamental types,and they exhibit a hierarchical pyramidal structure.(2)The tourism resources in Ningxia displayed characteristics of“widespread regional dispersion and limited regional agglomeration”.The spatial distribution of tourism resources was highly imbalanced,and most types of tourism resources exhibit strong positive spatial correlation.(3)The altitude,annual precipitation,population density,distance from urban centers,urbanization rate,and per capita GDP were identified as significant factors influencing the spatial distribution of tourism resources in Ningxia.Based on the results,we recommend that the government should formulate tourism development policies in Ningxia based on local conditions to effectively address the spatial imbalances,enhance the sustainability of tourism development,and continue to promote high-quality tourism development in Ningxia.
基金The National Social Science Fund Project of China (21BGL02119BGL138)+1 种基金The Macro Decision-making Projects on Culture and Tourism of China Tourism Academy (2021HGJCG04)The Natural Science Planning Project in Shandong Province (ZR202102200015)。
文摘By utilizing the panel data of 26 cities in the Yangtze River Delta urban agglomeration of China from 2000 to 2018, this study constructs a panel threshold model to examine the nonlinear relationship between Tourism Environmental Carrying Capacity(TECC) and Tourism Industry Agglomeration(TIA). TECC is evaluated based on the Driver-Pressure-State-Impact-Response(DPSIR) model, and TIA is estimated by the location quotient index.The analysis reveals that TIA and TECC both show growth trends and significant regional differences among the 26cities, but the latter fluctuates at certain stages. Moreover, TIA has a significant double threshold effect on TECC,which shows that the positive impact of TIA is enhanced initially but then weakens afterwards. Theoretically, this study contributes to enriching the current literature on TECC from the perspective of TIA. Practically, it could help local governments effectively arrange agglomerations to promote the sustainable development of the tourism industry in China.
基金The National Social Science Foundation of China(20BJY199).
文摘The successful bid for the 2022 Winter Olympics has provided a new opportunity for the popularization of ice-snow sports and making improvements in the efficiency of ice-snow tourism in China.Taking Zhangjiakou City in Hebei Province as the research object and using questionnaire analysis and the structural equation model(SEM),this paper examined several hypotheses of the relationship between tourist experiential value and tourist loyalty in the context of ice-snow tourism,and a mediation analysis was conducted to explore the moderating role of travel companions.The results show that:(1)The functional value,emotional value and social value have significant positive effects on tourist loyalty;(2)Tourist satisfaction is a partial mediator between functional value,emotional value,social value and tourist loyalty,and a full mediator between cognitive value and tourist loyalty;and(3)Travel companions play a significant moderating role in the influence of emotional value on tourist loyalty.Based on these findings,several suggestions are put forward for the high-quality development of ice-snow tourism in China,including developing ice-snow family tourism products,building an ice-snow brand with winter Olympics characteristics,constructing the ice-snow industrial system,and cultivating ice-snow culture.
基金The Hainan Province Tourism Development Committee (HZ2018-186)The Special Key Projects of Science and Technology Basic Work of Ministry of Science and Technology (2013FY112800)。
文摘Tourism resources are the basic materials of tourism development, and they also provide the support for regional tourism spatial competition. The development of tourism depends on the degree to which tourism resources are utilized, and it is of great guiding significance for their development and utilization to study their spatial structure. Based on a large sample of data on tourism resources, and starting from the characteristics of multi-type,multi-level and multi-combination, this paper puts forward a framework and method for analyzing the spatial structure of tourism resources. Taking Hainan Island as an example, this paper describes the spatial structure of tourism resources in Hainan Island by using the method of point pattern analysis, identifies the tourism resource development zones, and puts forward some suggestions for the development of tourism resources. The results are as follows:(1) The characteristic scale of the spatial structure of tourism resources in Hainan Island is 30.5 km, and there are significant differences in the distributions of all kinds of tourism resources.(2) Through the spatial structure map of tourism resources, the tourism resource development zones are identified, including three tourist central city levels, “one horizontal and three vertical” tourist belts and four tourist combination areas.(3) By combing the distribution of tourism resources and the development zones in Hainan Island, the cross-border characteristics of the tourism resources and development zones are obvious. In order to give full play to the spatial combination and superposition effect of tourism resources, a change from a single isolated development mode to the overall combined development between regions is suggested. On the provincial scale, it is relatively accurate to describe the spatial structure of tourism resources for point data with a large sample size. However, the method of point pattern analysis can not only accurately describe the spatial structure of tourism resources, but it can also provide reference for other types of regional spatial analyses. The research results provide a scientific basis for the spatial planning of regional tourism resources and have practical significance for the development of regional tourism.