本文基于贵州省各区域旅游资源普查情况,综合运用聚类分析法、标准差、变异系数、OLS回归分析等定量研究方法,对2019年贵州省各区域旅游经济发展差异及影响因素进行探索。研究发现,一是贵州省各区域旅游景区数量、旅游业收入大量增大,...本文基于贵州省各区域旅游资源普查情况,综合运用聚类分析法、标准差、变异系数、OLS回归分析等定量研究方法,对2019年贵州省各区域旅游经济发展差异及影响因素进行探索。研究发现,一是贵州省各区域旅游景区数量、旅游业收入大量增大,同时各区域旅游资源相似性极高;二是区域间旅游业收入标准差值和相对系数值差异均较大;三是影响贵州省区域旅游经济差异的因素主要有公路里程、人均GDP、城市化率、3A以上旅游景点数,公路里程对贵州省区域旅游经济差异影响最大,3A以上旅游景点数影响最小。Based on the census of tourism resources in various regions of Guizhou Province, this paper comprehensively used quantitative research methods such as cluster analysis, standard deviation, coefficient of variation, OLS regression analysis and other quantitative research methods to explore the differences and influencing factors of tourism economic development in different regions of Guizhou Province in 2019. The results show that, firstly, the number of tourist attractions and tourism income in various regions of Guizhou Province have increased significantly, and the similarity of tourism resources in various regions is extremely high. Second, there are large differences in the standard deviation and relative coefficient of tourism income between regions. Third, the factors affecting the regional tourism economic differences in Guizhou Province mainly include highway mileage, per capita GDP, urbanization rate, and the number of tourist attractions above 3A. Highway mileage has the greatest impact on the regional tourism economic difference in Guizhou Province, and the number of tourist attractions above 3A has the least impact.展开更多
文摘本文基于贵州省各区域旅游资源普查情况,综合运用聚类分析法、标准差、变异系数、OLS回归分析等定量研究方法,对2019年贵州省各区域旅游经济发展差异及影响因素进行探索。研究发现,一是贵州省各区域旅游景区数量、旅游业收入大量增大,同时各区域旅游资源相似性极高;二是区域间旅游业收入标准差值和相对系数值差异均较大;三是影响贵州省区域旅游经济差异的因素主要有公路里程、人均GDP、城市化率、3A以上旅游景点数,公路里程对贵州省区域旅游经济差异影响最大,3A以上旅游景点数影响最小。Based on the census of tourism resources in various regions of Guizhou Province, this paper comprehensively used quantitative research methods such as cluster analysis, standard deviation, coefficient of variation, OLS regression analysis and other quantitative research methods to explore the differences and influencing factors of tourism economic development in different regions of Guizhou Province in 2019. The results show that, firstly, the number of tourist attractions and tourism income in various regions of Guizhou Province have increased significantly, and the similarity of tourism resources in various regions is extremely high. Second, there are large differences in the standard deviation and relative coefficient of tourism income between regions. Third, the factors affecting the regional tourism economic differences in Guizhou Province mainly include highway mileage, per capita GDP, urbanization rate, and the number of tourist attractions above 3A. Highway mileage has the greatest impact on the regional tourism economic difference in Guizhou Province, and the number of tourist attractions above 3A has the least impact.
