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Haiyang Kaifa yu guanli
Article . 2022
Data sources: DOAJ
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Influencing Factors of the Yield of Mariculture in China Based on Geographic Detector

Authors: Chunxia YAN; Xin SHEN;

Influencing Factors of the Yield of Mariculture in China Based on Geographic Detector

Abstract

In order to promote the sustainable development of China′s marine aquaculture industry, based on the statistical data of China′s mariculture output, this paper selected 19 influencing factors, empirically analyzed the influencing factors of China′s mariculture output and the output of main mariculture varieties by using geographic detector method, and put forward development suggestions. The results showed that fish mariculture production was mainly distributed in Guangdong and Fujian, crustacean mariculture production was mainly distributed in Guangdong, shellfish mariculture production was mainly distributed in Shandong and Fujian, algae mariculture production was mainly distributed in Fujian. The main influencing factors of mariculture output in China were market demand, technology extension and equipment, the common main influencing factors of fish and crustacean mariculture output were technology extension, scientific and technological innovation and economy, and the common main influencing factors of shellfish and algae mariculture output were market demand and technology extension. Relevant coastal areas should attach great importance to the role of science and technology, improve the added value and competitiveness of mariculture products, and further develop and utilize their ecological value.

Keywords

fisheries, spatial differences, geographic detector, GC1-1581, technology promotion, Oceanography, mariculture

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
gold