{"title":"评估城市旅游开发效率：基于 DEA 方法","authors":"Hongjie Fan, Changlin Wan","doi":"10.9734/ajpas/2024/v26i4608","DOIUrl":null,"url":null,"abstract":"Based on the data of 16 prefecture level cities in Anhui Province, eight indicators in the three directions of environmental pollution, resource input and labor input are selected as input variables. The output indicators include economic and social benefits. Combining the traditional DEA and SBM super efficiency data envelopment analysis model, the super efficiency value and ranking of tourism development of each prefecture level city under the non-oriented and variable return to scale model are obtained. This paper analyzes the development efficiency of tourism in this period from the prefecture level city and regional level, and puts forward reasonable suggestions. Increase the development of tourism resources; Improve the urban tourism system with weak potential; Promote regional cooperation and linkage development; Promote the common growth of tourism industry and regional economy.","PeriodicalId":502163,"journal":{"name":"Asian Journal of Probability and Statistics","volume":" 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing Urban Tourism Development Efficiency: Based on a DEA Approach\",\"authors\":\"Hongjie Fan, Changlin Wan\",\"doi\":\"10.9734/ajpas/2024/v26i4608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the data of 16 prefecture level cities in Anhui Province, eight indicators in the three directions of environmental pollution, resource input and labor input are selected as input variables. The output indicators include economic and social benefits. Combining the traditional DEA and SBM super efficiency data envelopment analysis model, the super efficiency value and ranking of tourism development of each prefecture level city under the non-oriented and variable return to scale model are obtained. This paper analyzes the development efficiency of tourism in this period from the prefecture level city and regional level, and puts forward reasonable suggestions. Increase the development of tourism resources; Improve the urban tourism system with weak potential; Promote regional cooperation and linkage development; Promote the common growth of tourism industry and regional economy.\",\"PeriodicalId\":502163,\"journal\":{\"name\":\"Asian Journal of Probability and Statistics\",\"volume\":\" 8\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Probability and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/ajpas/2024/v26i4608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Probability and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ajpas/2024/v26i4608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
以安徽省 16 个地级市的数据为基础，选取环境污染、资源投入和劳动力投入三个方向的 8 个指标作为投入变量。产出指标包括经济效益和社会效益。结合传统的 DEA 和 SBM 超效率数据包络分析模型，得到无导向和可变规模收益模型下各地级市旅游发展的超效率值和排名。本文从地级市和区域层面分析了这一时期旅游业的发展效率，并提出了合理化建议。加大旅游资源开发力度；完善潜力薄弱的城市旅游体系；促进区域合作与联动发展；促进旅游产业与区域经济共同增长。
Assessing Urban Tourism Development Efficiency: Based on a DEA Approach
Based on the data of 16 prefecture level cities in Anhui Province, eight indicators in the three directions of environmental pollution, resource input and labor input are selected as input variables. The output indicators include economic and social benefits. Combining the traditional DEA and SBM super efficiency data envelopment analysis model, the super efficiency value and ranking of tourism development of each prefecture level city under the non-oriented and variable return to scale model are obtained. This paper analyzes the development efficiency of tourism in this period from the prefecture level city and regional level, and puts forward reasonable suggestions. Increase the development of tourism resources; Improve the urban tourism system with weak potential; Promote regional cooperation and linkage development; Promote the common growth of tourism industry and regional economy.
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