School of Economics, Yunnan University of Finance and Economics, Kunming 650221, China.
School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen (CUHKSZ), Shenzhen 518172, China.
Mar Pollut Bull. 2020 Nov;160:111675. doi: 10.1016/j.marpolbul.2020.111675. Epub 2020 Oct 7.
This study separates marine carrying capacity into four key dimensions, i.e., social, economic, resource, and ecological, and uses the entropy method to evaluate the carrying capacity of China's 11 coastal regions during the period 2007-2016. We then predict the values of marine carrying capacity in the subsequent five years (2017-2021) using the grey Verhulst model. Results reveal a significant disparity in marine carrying capacity among the 11 coastal regions of China, and social and ecological carrying capacities illustrate among the four subcategories. Pearl River Delta in the south has the highest marine carrying capacity value and shows an increasing trend, while Yangtze River Delta and Bohai Rim Region in the north are stable. With regard to the predicted values for 2017-2021, forecasting results illustrate that the industrial structure of China's coastal areas is gradually turning towards the mode of diversified and comprehensive utilization of marine resources.
本研究将海洋承载力分为社会、经济、资源和生态四个关键维度,并采用熵值法对 2007-2016 年期间中国 11 个沿海地区的海洋承载力进行评价。然后,我们使用灰色 Verhulst 模型预测了后续五年(2017-2021 年)的海洋承载力值。结果表明,中国 11 个沿海地区的海洋承载力存在显著差异,其中社会和生态承载力在四个子类别中表现突出。南部的珠江三角洲拥有最高的海洋承载力值,并呈上升趋势,而北部的长江三角洲和环渤海地区则保持稳定。至于 2017-2021 年的预测值,预测结果表明,中国沿海地区的产业结构正在逐渐转向海洋资源多元化和综合利用的模式。