Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)

The economic resilience of coastal tourism is of great significance to promot the high-quality development of the tourism economy in coastal areas and enhancing the sustainable development capacity of the tourism industry. This paper constructed a comprehensive evaluation index system from the dimen...

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Main Authors: Zhenchao CHENG, Qian WANG
Format: Article
Language:zho
Published: Editorial Office of Ocean Development and Management 2023-05-01
Series:Haiyang Kaifa yu guanli
Subjects:
Online Access:http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20230513&flag=1
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author Zhenchao CHENG
Qian WANG
author_facet Zhenchao CHENG
Qian WANG
author_sort Zhenchao CHENG
collection DOAJ
description The economic resilience of coastal tourism is of great significance to promot the high-quality development of the tourism economy in coastal areas and enhancing the sustainable development capacity of the tourism industry. This paper constructed a comprehensive evaluation index system from the dimensions of resistance, recovery, reconstruction, and renewal. The entropy-TOPSIS model was used to analyze the economic resilience of coastal tourism from 2010 to 2019. on the basis of the evaluation, the coastal tourism resilience was divided into 5 grades by the natural breaking point classification method, and the spatial characteristics of the economic resilience of coastal tourism were described. The results showed that: ①The resilience level of China's coastal tourism industry showed an obvious upward trend from 2010 to 2019, but there was still much room for improvement. ②The overall economic resilience of the tourism industry was relatively high, which did not mean that every dimension of the tourism industry in this area was high.③ Resistance and recovery were the keys to improve the economic resilience of coastal tourism. The perfection of tourism infrastructure, the level of profitability, the scale of tourists, and the richness of tourism resources are increasingly affecting coastal tourism. ④ From the perspective of the spatial pattern, there were obvious spatial differences in the economic resilience level of China’s coastal tourism industry, and the resilience levels of various dimensions were also quite different.
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spelling doaj.art-6dd44324c46344a9a9d50760026f35d42023-06-21T00:56:52ZzhoEditorial Office of Ocean Development and ManagementHaiyang Kaifa yu guanli1005-98572023-05-014051081191005-9857(2023)05-0108-12Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)Zhenchao CHENGQian WANGThe economic resilience of coastal tourism is of great significance to promot the high-quality development of the tourism economy in coastal areas and enhancing the sustainable development capacity of the tourism industry. This paper constructed a comprehensive evaluation index system from the dimensions of resistance, recovery, reconstruction, and renewal. The entropy-TOPSIS model was used to analyze the economic resilience of coastal tourism from 2010 to 2019. on the basis of the evaluation, the coastal tourism resilience was divided into 5 grades by the natural breaking point classification method, and the spatial characteristics of the economic resilience of coastal tourism were described. The results showed that: ①The resilience level of China's coastal tourism industry showed an obvious upward trend from 2010 to 2019, but there was still much room for improvement. ②The overall economic resilience of the tourism industry was relatively high, which did not mean that every dimension of the tourism industry in this area was high.③ Resistance and recovery were the keys to improve the economic resilience of coastal tourism. The perfection of tourism infrastructure, the level of profitability, the scale of tourists, and the richness of tourism resources are increasingly affecting coastal tourism. ④ From the perspective of the spatial pattern, there were obvious spatial differences in the economic resilience level of China’s coastal tourism industry, and the resilience levels of various dimensions were also quite different.http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20230513&flag=1coastal tourismeconomic resiliencespatial characteristicsnatural breaking point classification method
spellingShingle Zhenchao CHENG
Qian WANG
Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)
Haiyang Kaifa yu guanli
coastal tourism
economic resilience
spatial characteristics
natural breaking point classification method
title Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)
title_full Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)
title_fullStr Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)
title_full_unstemmed Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)
title_short Economic Resilience Measurement and Spatial Characteristics Analysis of Coastal Tourism Industry: Based on data from 11 coastal provinces (autonomous regions and municipalities)
title_sort economic resilience measurement and spatial characteristics analysis of coastal tourism industry based on data from 11 coastal provinces autonomous regions and municipalities
topic coastal tourism
economic resilience
spatial characteristics
natural breaking point classification method
url http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20230513&flag=1
work_keys_str_mv AT zhenchaocheng economicresiliencemeasurementandspatialcharacteristicsanalysisofcoastaltourismindustrybasedondatafrom11coastalprovincesautonomousregionsandmunicipalities
AT qianwang economicresiliencemeasurementandspatialcharacteristicsanalysisofcoastaltourismindustrybasedondatafrom11coastalprovincesautonomousregionsandmunicipalities