长江经济带种植业碳排放效率空间关联网络结构及动因

Spatial correlation network structure and motivation of carbon emission efficiency in planting industry in the Yangtze River Economic Belt

基于长江经济带11省市数据,利用非期望产出SBM模型测度种植业碳排放效率,通过修改的引力模型构建空间关联网络,应用社会网络分析法剖析空间关联网络结构,利用QAP模型分析空间关联网络驱动因素。研究表明:(1)长江经济带种植业碳排放效率提升较快,效率较高,但仍有提升空间,且存在地区差距,整体呈现出复杂空间网络特征;(2)长江经济带种植业碳排放效率空间关联网络关联性增强,网络结构稳定性提升,空间关联网络由上海单极主导演变为江苏、浙江、贵州、上海多中心协同发展格局;(3)农民人均收入、交通运输水平、空间邻接关系、科技水平、政府农业重视水平对长江经济带种植业碳排放效率空间关联网络具有重要影响。提升种植业碳排放效率时应考虑空间关联网络结构及其动因影响,采取有效措施增强种植业碳排放效率空间关联。

Based on the data of 11 provincial-level regions in the Yangtze River Economic Belt(YREB), this paper uses the undesired output SBM model to measure the carbon emission efficiency of planting industry, constructs the spatial correlation network through the modified gravitational model, applies the social network analysis method to analyze the spatial correlation network structure, and uses the QAP model to examine the driving factors of the spatial correlation network. The research shows that:(1) The carbon emission efficiency of planting industry in the YREB is improved rapidly, the overall efficiency value reaches a high level, but there is still some room for improvement, and the gap still exists between provincial-level regions. Moreover, the spatial effect of the carbon emission efficiency of planting industry in the YREB breaks the traditional spatial geographical proximity and presents complex spatial network characteristics.(2) During the study period, the correlation and structure stability of the spatial nnetwork of carbon emission efficiency of planting industry in the YREB showed an overall growing trend. During this period, the spatial correlation network evolved from the unipolar dominance of Shanghai to the multi-center collaborative development pattern of Jiangsu,Zhejiang, Guizhou and Shanghai.(3) Farmer per capita income, transportation level, spatial proximity relationship, science and technology level, and government agriculture attention level have an important influence on the spatial correlation network of carbon emission efficiency of planting industry in the YREB. It is suggested that when improving the carbon emission efficiency of the planting industry in the YREB, we should consider the spatial association network structure and its driving factors, and take measures to enhance the spatial correlation of the carbon emission efficiency of the planting industry.