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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Format: | Article |
Language: | zho |
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Editorial Office of Ocean Development and Management
2023-05-01
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Series: | Haiyang Kaifa yu guanli |
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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. |
first_indexed | 2024-03-13T04:16:42Z |
format | Article |
id | doaj.art-6dd44324c46344a9a9d50760026f35d4 |
institution | Directory Open Access Journal |
issn | 1005-9857 |
language | zho |
last_indexed | 2024-03-13T04:16:42Z |
publishDate | 2023-05-01 |
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series | Haiyang Kaifa yu guanli |
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 |