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10 July 2020 A Grey Theory-Based Economic Prediction Method of Port and Ocean Engineering
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Liu, J., 2020. A grey theory-based economic prediction method of port and ocean engineering. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 197–200. Coconut Creek (Florida), ISSN 0749-0208.

With the rapid development of science and technology, economic prediction has been applied to many fields of economic events, mainly to predict the development of law and future situations. Through scientific prediction, we can provide a rigorous scientific basis for economic activities. There are a variety of prediction methods and theories, such as grey theory, fuzzy prediction method, time series method, compound interest method, etc. With the rapid growth of China's economy, China's port and marine engineering has made great achievements and has become an indispensable economic growth point in China's national economy. Therefore, on the basis of the grey theory, this paper makes a grey model first-order one variable (GM [1,1]) model prediction of port and marine engineering economy, which mainly includes three aspects: gross ocean product, port cargo throughput, and container throughput in coastal areas. Through the GM (1,1) model, we can correctly understand and predict the throughput of the port. Finally, this paper puts forward some suggestions that can better carry out the economic development of port and marine engineering.

©Coastal Education and Research Foundation, Inc. 2020
Jingjing Liu "A Grey Theory-Based Economic Prediction Method of Port and Ocean Engineering," Journal of Coastal Research 106(sp1), 197-200, (10 July 2020).
Received: 30 November 2019; Accepted: 5 January 2020; Published: 10 July 2020

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