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Four-dimensional evaluation and forecasting of marine carrying capacity in China: Empirical analysis based on the entropy method and grey Verhulst model.

Authors :
Tian, Renqu
Shao, Qinglong
Wu, Fenglan
Source :
Marine Pollution Bulletin; Nov2020, Vol. 160, pN.PAG-N.PAG, 1p
Publication Year :
2020

Abstract

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. • We evaluate marine carrying capacity in China during 2007–2016 and its four sub-categories. • The entropy method and grey Verhulst model were applied to the data. • A significant disparity in marine carrying capacity is revealed in China. • The Pearl River Delta performs better than other two coastal regions. • Industrial structure and resource utilization show a diversified development trend. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0025326X
Volume :
160
Database :
Supplemental Index
Journal :
Marine Pollution Bulletin
Publication Type :
Academic Journal
Accession number :
146811830
Full Text :
https://doi.org/10.1016/j.marpolbul.2020.111675