التفاصيل البيبلوغرافية
| العنوان: |
组态视角下我国旅游产业发展的类型与路径选择 ——基于机器学习方法的探索. (Chinese) |
| Alternate Title: |
The Type and Path Selection of Tourism Industry Development from the Perspective of Configuration: An Exploration Based on Machine Learning Methods. (English) |
| المؤلفون: |
廖杨月, 余传鹏, 林春培 |
| المصدر: |
Tourism Tribune / Lvyou Xuekan; 2024, Vol. 39 Issue 9, p31-46, 16p |
| مصطلحات موضوعية: |
CART algorithms, REGIONAL development, CITIES & towns, LITERATURE reviews, URBAN tourism, INDUSTRIAL clusters |
| Abstract (English): |
At present, the contradiction of inadequate and unbalanced regional development is still prominent. Developing a regional economy in a new way is related to the well-being of the people; it is also a major theoretical and practical problem to be solved urgently in our economic and social development in the new era. The 20th National Congress of the Communist Party of China once again wrote the goal of common prosperity into the report and continued to promote the coordinated development of regions to better meet the broad masses of people’s yearning for a better life. As a strategic pillar industry of our country, the tourism industry is an important driving force that promotes high- quality regional economic development and optimization and upgrading of industrial structure. Moreover, it will also promote the shared prosperity of our country. Combined with production function theory and a literature review, eight feature variables are selected from resource, technology and institution dimensions based on the reviewed research to examine the tourism industry’s personalized and differentiated driving path in different types of cities. Next, we obtain the field index data of 298 cities at the prefecture level or above and filter them. The entropy weight method is used to measure variables. After the corresponding feature variables are standardized by min-max normalization, the K-means algorithm is used to classify cities with similar characteristics into clusters (i.e., hindered, stable and fully radiant). The feature difference radar map is drawn according to the mean value of the overall features of different city clusters, which are named to identify the overall heterogeneity of different types of cities. Lastly, taking the tourism industry development as the decision attribute and eight feature variables as the conditional attribute, the classification and regression tree algorithm is used to explore the potential decision rules of the tourism industry development in three types of city clusters. The results show that 1) the driving factors of the tourism industry have a coupling and coordination effect, reflected in the lateral coupling consistency and longitudinal hierarchical stratification of the multidimensional feature variables of different types of cities; 2) highly similar cities obtain different levels of tourism industry development due to the differentiated allocation of factors, indicating that each city type has its configuration conditions suitable for its own development, providing a realistic basis for promoting regional coordinated development; and 3) the driving factors of high- level development of tourism industry in different city types are different in combination, showing the effect of the same destination on the whole. The hindered cities are driven by “technological foundation-regional opening-cultural attraction,” the stable cities by“ economic guidance-technological innovation-digital empowerment,” and the fully radiant cities by“ cultural attraction- transportation enhanced.” These conclusions provide a new development idea and reference basis for the Chinese urban tourism industry in response to national policies. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
运用机器学习方法识别旅游产业发展的复杂前因 和组态路径, 以此赋能我国区域协调发展和共同富裕目标实 现. 文章基于生产函数理论, 以我国298个地级及以上城市 为研究对象, 采用K均值聚类算法将样本城市划分为发展受 阻型、稳中求进型和全面辐射型 3 种群组类型, 运用分类与 回归树算法挖掘不同类型城市资源、技术和制度层面多维特 征变量与旅游产业发展之间的复杂关系结构. 研究发现: 1) 旅游产业发展的驱动要素具有耦合协调效应, 体现为不同类 型城市多维特征变量的横向耦合一致性和纵向等级分层性; 2) 高度相似城市因要素差异化配置获得不同旅游产业发展 水平, 表明每类城市都有适宜自身发展的组态条件, 为推动 区域协调发展提供现实基础; 3) 不同类型城市旅游产业高水 平发展的驱动要素具有组合差异性, 整体呈现殊途同归的作 用效果, 发展受阻型城市由 "科技筑基-区域开放-文化吸引" 驱动, 稳中求进型城市由 "经济引领-科技创新-数字赋能" 驱 动, 全面辐射型城市由 "文化吸引-交通增质" 驱动. 研究结 论为我国城市旅游产业如何依据自身要素禀赋条件获得高 水平发展提供了新思路和新参考依据. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |