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Measurement and Evaluation of Economic Benefits of Marine Industry: A Grey Correlation–Based Analysis

Authors: Suying Ma;

Measurement and Evaluation of Economic Benefits of Marine Industry: A Grey Correlation–Based Analysis

Abstract

Ma, S., 2020. Measurement and evaluation of economic benefits of marine industry: A grey correlation–based analysis. 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. 77–80. Coconut Creek (Florida), ISSN 0749-0208.Through the method of grey correlation analysis, study analyzed the economic effect and development power of China's marine economy based on China's marine economic data, which mainly come from the China Marine Economic Statistics Bulletin of the Department of Marine Strategic Planning and Economy, Ministry of Natural Resources, and the State Council of CHYXX. This paper mainly studied the data of China's total marine economy, the growth of marine primary, secondary, and tertiary industries, and the marine-related labor population in 2008–18, and calculated the per capita marine gross domestic product (GDP) and the per capita national GDP. This paper obtained the proportion of marine GDP in the national GDP. Through the min-max method, this paper analyzed the relevant data through the grey correlation analysis method and drew the following conclusion. The proportion of China's marine economy in the national economy is relatively high, and the location entropy of the marine economy has been stable at a high level of more than 3.50.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average