黄河流域农业绿色低碳生产效率空间关联网络结构特征及驱动因素识别
On the characteristics and drivers of spatial correlation network of green low-carbon agricultural production efficiency in the Yellow River Basin
钱昭英 1刘书杰1
作者信息
- 1. 贵州财经大学经济学院,贵阳 550000
- 折叠
摘要
基于黄河流域84个地级行政区数据,通过三阶段SBM-DEA模型测度农业绿色低碳生产效率,运用社会网络分析法剖析黄河流域农业绿色低碳生产效率空间关联网络结构特征,利用QAP模型探究空间关联网络的驱动因素.结果表明:1)黄河流域农业绿色低碳生产效率存在显著的空间关联和溢出效应,且呈现出复杂的空间网络特征,但是空间关联网络的关联性有待加强.2)山东、河南、山西、内蒙古等省份的部分地区在网络中的中心度较高,属于空间关联网络的"领头人"和"中间人".3)黄河流域农业绿色低碳生产效率空间关联网络可划分为净溢出、净受益、双向溢出和经纪人4个板块,板块内部和板块间均存在显著的溢出效应,且板块间的溢出效应具有明显的传递特征.4)农业经济发展水平、经济发展水平、对外开放水平、农村居民收入、财政支持水平、农业技术水平的差异和空间邻接关系对空间关联网络的形成与发展有显著的影响.
Abstract
Based on the data of 84 districts in the Yellow River Basin,the three-stage SBM-DEA model was used to measure green low-carbon agricultural production efficiency,social network analysis was used to analyze the structural characteristics of the spatial correlation network of green low-carbon agricultural production efficiency in the Yellow River Basin,and QAP model was used to explore the factors driving the spatial correlation network.The results indicate that:1)Green low-carbon agricultural production efficiency in the Yellow River Basin has significantly spatial correlation and spillover effects,and presents complex spatial network characteristics,but the correlation and stability of spatial correlation network need to be strengthened.2)Some areas in Shandong,Henan,Shanxi,and Inner Mongolia,have a higher centrality in network,and belong to the"leader"and"middleman"in the spatial correlation network.3)The spatial correlation network of green low-carbon agricultural production efficiency in the Yellow River Basin can be divided into four plates:net spillover,net benefit,two-way spillover,and broker.There are significant spillover effects within and between plates,and the spillover effects between plates have obvious transmission characteristics.4)Regional differences in agricultural economic development,economic development,the level of opening,rural residents'income,financial support,agricultural technology and spatial adjacency have significant effects on the formation and development of spatial correlation networks.
关键词
黄河流域/农业绿色低碳生产效率/空间关联网络结构/社会网络分析/差异化发展Key words
Yellow River Basin/green low-carbon agricultural production efficiency/spatial correlation network structure/social network analysis/differentiated development引用本文复制引用
基金项目
贵州省2022年度哲学社会科学基金项目(22GZYB19)
出版年
2024
国家科技期刊平台
NSTL
万方数据