SPATIAL CORRELATION NETWORK AND INFLUENCING FACTORS OF FISHERY CARBON EMISSION EFFICIENCY IN CHINA
This research aims to investigate the spatial correlation network characteristics and influencing factors of China's fishery carbon emission efficiency,with a view to providing scientific support for the coordinated development of regional fishery and the low-carbon fishery development.Based on relational data and network perspectives,a Stochastic Block Model(SBM) taking into account undesirable output was used to measure fishery carbon emission efficiency in 27 provinces (city,autonomous region) across China from 2011 to 2020,and a modified gravity model was used to construct a gravity matrix of the spatial correlation network of fishery carbon emission efficiency,then the Social Network Analysis(SNA) was conducted on the correlation structure and attributes of spatial correlation network,and finally,the influencing factors of spatial correlation network and their roles were investigated by Quadratic Assignment Procedure(QAP).The results were found as follows.(1) There were significant spatial correlation and spillover paths of fishery carbon emission efficiency in China,forming a complex network-like spatial correlation and demonstrating obvious coordinated development;(2) The spatial correlation network of fishery carbon emission efficiency featured a loose structure and hierarchical gradient,and the spatial cooperation and interaction of fishery carbon emission efficiency still needed to be enhanced and optimized.(3) In the spatial correlation network,developed provinces,cities and districts,such as Shanghai,Tianjin,Beijing,and Sichuan were at the center and had a strong control and dominance over resource elements required for low-carbon fishery development,while those in the western and northeastern regions were at the periphery and were week in acquiring the resources.(4) Additionally,the formation of a spatial correlation network of fishery carbon emission efficiency was promoted by differences in fishery development,social consumption and energy intensity,and spatial proximity,and was facilitated by a small difference in tax burden,openness and transportation.In response,it is required to explore the regional linkage mechanisms of fishery development,establish a cross-regional cooperation platform,and strengthen the spatial mobility of factors of production;take into account local conditions while making and implementing policies and measures and giving full play to regional strengths and potentials and improving overall efficiency,in addition,carbon control and treatment needs mutual coordination and joint governance in all regions to achieve carbon emission reduction targets on a national scale.
NETL
NSTL
万方数据
