SPATIAL CORRELATION NETWORK STRUCTURE OF FISHERY CARBON EMISSION EFFCIENCY IN CHINA AND ITS INFLUENCING FACTORS
Promoting green ecological aquaculture and scientifically comprehending the spatial correlation network structure of fishery carbon emission efficiency is not only an objective requirement for sustainable development of the aquaculture industry but also provides a foundation for the development of a low-carbon transformation of agriculture under the dual-carbon goal. Taking 30 provinces (cities and autonomous regions,excluding Hong Kong,Macao,Taiwan and Xizang) in China from 2007 to 2021 as research objects,this study innovatively focused on the carbon emission efficiency of the Chinese fishery industry from the perspective of spatial correlation,measured the carbon emission efficiency of the fishery industry by Super-SBM model,and analyzed the characteristics of the spatial correlation network structure on the basis of the modified gravitational model and social network analysis,then also analyzed its influencing factors by using the QAP model. The results were showed as follows. (1) Driven by the carbon peak and carbon neutrality goals target,the carbon emission efficiency of the fishery industry fluctuated but increased with time. However,there were significant spatial differences of carbon emission efficiency among provinces and cities,with the fishery carbon emission efficiency generally being higher in coastal and river-side areas. (2) The spatial correlation of fishery carbon emission efficiency among provinces and cities in China was gradually enhanced,the network density,correlation,and stability were continuously improved,and the fishery carbon emission efficiency network became more balanced and stable. (3) There were significant differences among provinces and cities in the spatial correlation network of fisheries' carbon emission efficiency. The eastern coastal provinces and cities with developed fisheries always held a dominant position in the network,while the northwest,southwest,and northeast provinces and cities were inferior in the network because of the poor economic foundation of the fisheries and their outdated aquaculture technology. Some provinces and cities in central China seemed to play the role of "bridge" and "intermediary" by virtue of their geographical location. (4) The regional differences in aquaculture variety structure,fishery technology,carbon sink,infrastructure,fishery economic development level,and aquaculture density significantly affected the construction of the spatial correlation network of fishery carbon emission efficiency. Therefore,at present,China has achieved some fisheries carbon reduction,but there is still great potential. Attention should be paid to the regional linkage effect of China's fisheries carbon emission efficiency,and low-carbon transformation of China's fisheries should be promoted through optimization of aquaculture structure,improvements of aquaculture technology,adjustments of aquaculture density,and the construction of facilities.
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万方数据
