1. School of Economics and Management, Hebei University of Technology, Tianjin 300000, China
2. School of Humanities and Law, Hebei University of Technology, Tianjin 300000, China
| Abstract: | With global population growth and economic development, the demand for marine resources is constantly increasing, and fishing activities are facing greater pressure. Overfishing and unreasonable fisheries management have led to some fishery resources facing depletion and ecosystem degradation. The health of marine ecosystems is crucial for the ecological balance of the Earth. Overfishing and ecosystem destruction may lead to ecosystem collapse, causing long-term impacts on many species and ecological functions that rely on marine organisms. With the development of technology and innovation, new fishery technologies and management methods continue to emerge, which have the potential to improve the ecological efficiency of fisheries and optimize resource utilization. Based on the panel data of some coastal selected provinces from 2005 to 2019, the NDDF model is used to calculate the marine fishery efficiency and target the path of marine fishery eco-efficiency improvement. The results of the study show that, in terms of spatial pattern, the eco-efficiency value of marine fisheries in southern coastal provinces and municipalities in China is higher than that in northern coastal provinces and municipalities as a whole. Shandong province has the highest eco-efficiency value in the Bohai Rim region, and Shanghai city has the highest eco-efficiency value in the Yangtze River Delta region. In terms of time series, the eco-efficiency values of marine fisheries in the eastern coastal provinces and municipalities of China showed a fluctuating increase, and two peaks occurred in 2011 and 2019. Provinces and cities with high eco-efficiency values have the common characteristics of enjoying national policy support and reasonable resource allocation, while provinces and cities with lower eco-efficiency values have the common characteristics of irrational industrial structure, weak environmental protection awareness, and less scientific and technological investment. Based on this, suggestions are put forward on improving the eco-efficiency value of marine fisheries: vigorously developing fishery-related science and technology, optimising the industrial structure of coastal cities, and increasing policy support. |
| Keywords: | Marine Fishery; Eco-efficiency; NDDF Model; Coastal City |
| DOI: | 10.57237/j.wjmst.2024.02.001 |
| [1] | National Economic Statistics Bulletin of Fishery in 2022 [J]. China Fishery, 2023(08): 7-8. |
| [2] | Journal News. Ministry of Agriculture and Rural Development issued the ‘14th Five-Year’ National Fishery Development Plan [J]. China Aquatic Fisheries, 2022(02): 7-19. |
| [3] | TIAN Peng, LI Jialin, CAO Rodan, et al. Evaluation of economic efficiency of China's marine fisheries and analysis of influencing factors based on the super-efficient SBM model [J]. Ocean Bulletin, 2022, 41(03): 290-301. |
| [4] | ZHANG Qihang, ZHANG Yalian, TAN Guifei, et al. Characteristics of spatial and temporal evolution of forest carbon sink efficiency in China - Based on a three-stage super-efficient SBM-DEA model [J/OL]. Journal of Ecology: 1-14 [2024-05-25]. https://doi.org/10.20103/j.stxb.202311172510. |
| [5] | Jun Du, Xiaotong Li, Bo Yan. Spatial evolution of China's marine economic efficiency and analysis of influencing factors based on Bootstrap-DEA model [J/OL]. Ocean Bulletin: 1-13 [2024-05-25]. http://kns.cnki.net/kcms/detail/12.1076.p.20240513.1340.006.html. |
| [6] | Wang Chen. Research on energy efficiency measurement and total factor productivity in China's coastal areas [J]. Cooperative Economy and Technology, 2019(10): 24-26. https://doi.org/10.13665/j.cnki.hzjjykj.2019.10.008. |
| [7] | XU Sheng, JI Qianyun. Research on marine fishery eco-efficiency and influencing factors in coastal areas - based on SBM-Tobit model [J]. China Fishery Economy, 2023, 41(05): 78-88. |
| [8] | ZHAO Lingdi, YUAN Tian, ZHAO Zhibo. Research on the threshold effect of urbanisation on green development performance - A case study of cities in two major economic zones of the Great Northwest and the Middle reaches of the Yellow River [J]. Arid Zone Resources and Environment, 2019, 33(09): 10-16. https://doi.org/10.13448/j.cnki.jalre.2019.259. |
| [9] | Li Mingshuang. Official release of the Twelfth Five-Year Plan for National Fisheries Development [J]. China Fishery, 2011, (11): 22. |
| [10] | Li Hui. Research on the development of marine fishery in Hebei Province [D]. Hebei Agricultural University, 2016. |
| [11] | Liu Jianying, Liu Peidong, Sun Xiaomei, et al. Status quo and countermeasure suggestions for the development of intelligent fishery in Shandong [J]. China Fishery, 2024(03): 85-87. |
| [12] | WANG Zeyu, CAO Jiangqi, WANG Yanxi. Spatial and temporal variability of marine fisheries eco-efficiency in China and its influencing factors [J]. Ocean Development and Management, 2021, 38(08): 36-43. https://doi.org/10.20016/j.cnki.hykfygl.2021.08.006. |
| [13] | Xie J. Research and development status of digital fishery [J]. Fujian Fishery, 2009(01): 70-72. https://doi.org/10.14012/j.cnki.fjsc.2009.01.020. |
| [14] | Li Q, Zhang YX. Study on the status quo and high-quality development countermeasures of marine fishery in Liaoning Province [J]. China Fishery Economy, 2023, 41(02): 82-89. |
| [15] | Xia Nianli, Chang Jinliang, Han Fang. Analysis of the “Fish+” Large Water Surface Ecological Fishery Development Model in Numerous Cities [J]. Hebei Fisheries, 2024 (04): 43-46. |
We invite active, qualified and high profile scientists and researchers to join as Editorial Board Members.
Join UsScholars with a strong interest in reviewing are invited to join the reviewer panel to ensure the quality of the research to be published.
Join Us