详细信息
Research on Efficiency of Marine Green Aquaculture in China: Regional Disparity, Driving Factors, and Dynamic Evolution ( SCI-EXPANDED收录) 被引量:6
文献类型:期刊文献
英文题名:Research on Efficiency of Marine Green Aquaculture in China: Regional Disparity, Driving Factors, and Dynamic Evolution
作者:Wang, Wei[1];Mao, Wei[1,2];Zhu, Jianzhen[1,3];Wu, Renhong[4];Yang, Zhenbo[1]
机构:[1]Guangdong Ocean Univ, Sch Econ, Zhanjiang 524088, Peoples R China;[2]Guangdong Coastal Econ Belt Dev Res Inst, Zhanjiang 524088, Peoples R China;[3]Guangdong Ocean Univ, Marine Econ & Management Res Ctr, Zhanjiang 524088, Peoples R China;[4]Kyung Hee Univ, Grad Sch Technol Management, Yongin 17104, South Korea
年份:2024
卷号:9
期号:1
外文期刊名:FISHES
收录:SCI-EXPANDED(收录号:WOS:001149833400001)、、Scopus(收录号:2-s2.0-85183139648)、WOS
基金:The 13th Five-Year Plan Project of Philosophy and Social Sciences of Guangdong Province:GD18XYJ09; Guangdong Province Philosophy and Social Sciences 13th Five-Year Plan 2020 disciplineco-construction project: GD20XYJ26.
语种:英文
外文关键词:marine green aquaculture efficiency; regional disparity; driving factors; geographic detector
外文摘要:It is imperative to achieve the high-quality development of fisheries and green transformation of mariculture. Based on the data of marine aquaculture fisheries in China from 2006 to 2019, this research uses the Super-SBM (Slacks-Based Measure) model to measure the efficiency of marine green aquaculture in China and analyzes the regional gap, evolution trend, and driving factors of marine green aquaculture efficiency in nine coastal provinces in China. The results are as follows: (1) The Super-SBM measurement results showed that the efficiency of marine green aquaculture in China showed a fluctuating upward trend from 2006 to 2019. The results of nuclear density estimation and Dagum Gini coefficient show that there is an obvious regional gap in the efficiency of marine green aquaculture in China, and the regional gap is increasing with time. The Dagum Gini coefficient decomposition results show that inter-regional differences and supervariable density differences were the main sources of marine green aquaculture efficiency. The results of barycentric elliptic standard deviation show that the gravity center of marine green aquaculture efficiency in China shifted to the south from 2006 to 2019, indicating that the efficiency of marine green aquaculture in southern China has had a high degree of improvement. (2) The spatial Markov chain results show that spatial proximity plays a key role in the state transfer of marine green aquaculture efficiency. The higher the efficiency of marine green aquaculture in neighboring provinces, the greater the effect on improving the efficiency of marine green aquaculture in the province. The state transfer of marine green aquaculture efficiency usually occurs between similar horizontal states, and there is less "leapfrog" transfer. (3) The results of the geographic detector show that the number of professional mariculture practitioners is the core driving factor and plays a leading role in the regional gap in the efficiency of marine green aquaculture in China. The explanatory power of the interaction of the two factors on the regional gap of marine green aquaculture efficiency is more than 90%, which is much higher than the explanatory power of a single factor. The regional gap of marine green aquaculture efficiency is the result of multiple driving factors.
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