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农户收入增长空间关联及影响因素研究——以重庆市为例 被引量:2

Spatial Correlation and Influencing Factors of Farmers'Income Growth Based on Complex Network Index Random Graph--A Case Study of Chongqing City
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摘要 利用SNA方法识别重庆地区农户收入增长的空间依赖关系,借助指数随机图模型(EGRM)分析影响农户收入增长空间关系的因素及作用机制。结果表明,重庆地区各区县之间农户收入增长存在空间依赖关系,该关联紧密程度上升速度较快;农户增收空间关联网络日益紧密,仍存在不平衡发展态势;农户增收网络体现互惠性特征,但非均衡的非互惠关系在整个农户增收网络中仍存在;较高农业GDP占比、人均经济作物商品产值和农业商品产值等对农户增收空间网络形成具有促进作用;协变量网络中,经济空间网络对农户增收影响最强,种植结构空间网络、地理空间网络影响逐渐式微。应从优化整体空间网络结构、强化关键节点对其他节点收入增长影响等方面入手,加强政策干预、打破区域行政藩篱,促进农户增收。 SNA method was used to identify the spatial dependence of farmers'income growth in Chongqing City,and the exponential random graph model(EGRM)was used to analyze the factors affecting the spatial relationship of farmers'income growth and its mechanism.The results showed that there was a spatial dependence on the growth of farmers'income among districts and counties in Chongqing City,and the degree of the relationship was increasing rapidly;the spatial association network of farmers'income increase was increasingly close,but there was still an unbalanced development trend;the network of farmers'income increase reflected the characteristics of reciprocity,but the unbalanced and non reciprocal relationship still existed in the whole farmers'income increase network;the proportion of agricultural GDP was relatively high in the co-variate network,the economic spatial network had the strongest impact on the increase of farmers'income,followed by the planting structure spatial network,and the geographical spatial network gradually weakens.It suggested that the overall spatial network structure should strengthen the influence of key nodes on the income growth of other nodes and the policy intervention should be strengthened.The regional administrative barriers should be broken down.Further,the increase of farmers'income and the balanced development of Chongqing City should be promoted.
作者 谭灵芝 孙奎立 王国友 TAN Lingzhi;SUN Kuili;WANG Guoyou(Population Development and Policy Research Center of Chongqing Technology&Business University,Chongqing 400067,China;School of Medical Management,Taishan Medical University,Taian,271016,Shandong,China)
出处 《农业经济与管理》 CSSCI 2020年第5期64-77,共14页 Agricultural Economics and Management
基金 教育部人文社会科学规划项目(19YJAZH049) 山东省社会科学哲学规划研究项目(18CSHJ01) 重庆市教委人文社会科学项目(20SKGH114)。
关键词 农户增收 指数随机图模型 网络分析 乡村振兴 farmers'income growth exponential random graph model network analysis Rural revitalization
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