{"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}
引用次数: 0
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.