Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS Method
The carrying capacity of mariculture region is an important criterion to evaluate the sustainable development level of mariculture. This paper established an evaluation index system for carrying capacity of mariculture region which included pressure, state and response criterion layers with 14 evalu...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Ocean Development and Management
2023-12-01
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| Series: | Haiyang Kaifa yu guanli |
| Subjects: | |
| Online Access: | http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20231213&flag=1 |
| _version_ | 1797302572550193152 |
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| author | Jianyue JI Chengjia WANG Jinglin ZHOU |
| author_facet | Jianyue JI Chengjia WANG Jinglin ZHOU |
| author_sort | Jianyue JI |
| collection | DOAJ |
| description | The carrying capacity of mariculture region is an important criterion to evaluate the sustainable development level of mariculture. This paper established an evaluation index system for carrying capacity of mariculture region which included pressure, state and response criterion layers with 14 evaluation indexes. Based on the data of coastal areas in China from 2008 to 2019, the entropy weight TOPSIS method was used to determine the weights of the indexes and calculate the comprehensive scores of the carrying capacity of mariculture region. The results showed that the carrying capacity of mariculture region in China increased year by year, and the comprehensive score increased from 0.342 in 2008 to 0.458 in 2019. Among them, the scores of the pressure layer and the state layer were higher, with an annual mean of 0.689 and 0.799 respectively, while the scores of the response layer were lower, with an annual mean of 0.318. The low response layer score was the most important reason for the low comprehensive score of carrying capacity of mariculture region in China. During the study period, the pressure of resources and environment caused by social and economic activities of coastal areas on mariculture region first decreased, then remained flat and then increased, and the health status and pollution degree of coastal areas showed a fluctuating trend. There were significant differences in the carrying capacity of mariculture region among the coastal areas. Guangdong Province had the highest average comprehensive score, followed by Hainan, Shandong and Jiangsu. The number of aquaculture technology extension institutions, the proportion of marine scientific research, education and management service industry, and the green total factor productivity of mariculture industry were the most important indicators affecting the carrying capacity of mariculture region. The proportion of mariculture output value in GDP, the discharge of chemical oxygen demand in wastewater, and the water quality of offshore sea areas also made great contributions to the carrying capacity of mariculture region. |
| first_indexed | 2024-03-07T23:39:47Z |
| format | Article |
| id | doaj.art-d6082dfee590487881f46aaa3d0307a2 |
| institution | Directory Open Access Journal |
| issn | 1005-9857 |
| language | zho |
| last_indexed | 2024-03-07T23:39:47Z |
| publishDate | 2023-12-01 |
| publisher | Editorial Office of Ocean Development and Management |
| record_format | Article |
| series | Haiyang Kaifa yu guanli |
| spelling | doaj.art-d6082dfee590487881f46aaa3d0307a22024-02-20T02:03:26ZzhoEditorial Office of Ocean Development and ManagementHaiyang Kaifa yu guanli1005-98572023-12-0140121171261005-9857(2023)12-0117-10Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS MethodJianyue JI0Chengjia WANG1Jinglin ZHOU2School of Economics, Ocean University of China, Qingdao 266100, ChinaSchool of Economics, Ocean University of China, Qingdao 266100, ChinaSchool of Economics, Ocean University of China, Qingdao 266100, ChinaThe carrying capacity of mariculture region is an important criterion to evaluate the sustainable development level of mariculture. This paper established an evaluation index system for carrying capacity of mariculture region which included pressure, state and response criterion layers with 14 evaluation indexes. Based on the data of coastal areas in China from 2008 to 2019, the entropy weight TOPSIS method was used to determine the weights of the indexes and calculate the comprehensive scores of the carrying capacity of mariculture region. The results showed that the carrying capacity of mariculture region in China increased year by year, and the comprehensive score increased from 0.342 in 2008 to 0.458 in 2019. Among them, the scores of the pressure layer and the state layer were higher, with an annual mean of 0.689 and 0.799 respectively, while the scores of the response layer were lower, with an annual mean of 0.318. The low response layer score was the most important reason for the low comprehensive score of carrying capacity of mariculture region in China. During the study period, the pressure of resources and environment caused by social and economic activities of coastal areas on mariculture region first decreased, then remained flat and then increased, and the health status and pollution degree of coastal areas showed a fluctuating trend. There were significant differences in the carrying capacity of mariculture region among the coastal areas. Guangdong Province had the highest average comprehensive score, followed by Hainan, Shandong and Jiangsu. The number of aquaculture technology extension institutions, the proportion of marine scientific research, education and management service industry, and the green total factor productivity of mariculture industry were the most important indicators affecting the carrying capacity of mariculture region. The proportion of mariculture output value in GDP, the discharge of chemical oxygen demand in wastewater, and the water quality of offshore sea areas also made great contributions to the carrying capacity of mariculture region.http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20231213&flag=1carrying capacity of mariculture regionmaricultureentropy weight topsis methodpsr theory |
| spellingShingle | Jianyue JI Chengjia WANG Jinglin ZHOU Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS Method Haiyang Kaifa yu guanli carrying capacity of mariculture region mariculture entropy weight topsis method psr theory |
| title | Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS Method |
| title_full | Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS Method |
| title_fullStr | Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS Method |
| title_full_unstemmed | Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS Method |
| title_short | Evaluation of Carrying Capacity of Mariculture Region in China Based on Entropy Weight TOPSIS Method |
| title_sort | evaluation of carrying capacity of mariculture region in china based on entropy weight topsis method |
| topic | carrying capacity of mariculture region mariculture entropy weight topsis method psr theory |
| url | http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20231213&flag=1 |
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