龚英 何彦婷.基于农产品对外贸易的省际空间关联网络分析[J].重庆工商大学社会科学版,2022,39(2):112-121
基于农产品对外贸易的省际空间关联网络分析
Analysis of Inter-provincial Spatial Correlation Network Based on International Trade of Agricultural Products
  
DOI:
中文关键词:  农产品对外贸易 空间关联 引力模型 社会网络分析
英文关键词:international trade of agricultural products spatial correlation gravity model social network analysis
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作者单位
龚英 何彦婷 重庆工商大学长江上游经济研究中心 重庆工商大学工商管理学院 
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中文摘要:
      根据中国31个省(市、自治区)的农产品进出口数据,基于引力模型测算出省市间的空间关联作用强度,构建农产品对外贸易省际空间关联网络,运用社会网络分析法分析省际空间结构和网络特征。研究发现,我国农产品贸易逆差不断扩大,省市间农产品对外贸易联系的密度低,溢出形式各异,有显著的非均衡分布特征。研究表明,空间关联网络密度呈东密西疏的阶梯形特征;出口的空间关联和溢出效应呈多核心发散形式、进口为海岸线带状扩展形式;但区域间关联缺乏,西北陷入和整体空间网络关联阻断的困境;进口网络的辐射带动作用未发挥,缺乏层级间和层级内的核心带动。最后提出加强溢出渠道建设、完善空间溢出传导机制、促进空间关联网络结构优化和功能协同等建议。
英文摘要:
      Based on the import and export data of agricultural products in 31 provinces,cities and autonomous regions in China,the intensity of spatial correlation between provinces and cities is calculated based on the gravity model,the inter-provincial spatial correlation network of international trade of agricultural products is constructed,and the social network analysis method is used to analyze the inter-provincial spatial structure and network characteristics.It is found that the trade deficit of agricultural products in China keeps expanding,and the density of the international trade relations of agricultural products between provinces and cities is low,with different forms of spillover,showing significant non-equilibrium distribution characteristics.The study shows that the density of the inter-provincial spatial correlation network of agricultural products in international trade is a stepped feature of dense in the east and sparse in the west,the spatial correlation and spillover effects of exports are in the form of multi-core divergence,and imports are in the form of coastline strip expansion extended in the form of coastlines.However,there is a lack of inter-regional correlation,and the northwest is in a dilemma of blocking the correlation with the whole spatial network.The radiation-driven role of the import network has not been effectively utilized,and there is a lack of core drive among and within levels.Finally,suggestions such as strengthening the construction of spillover channels,improving the transmission mechanism of spatial spillover,and promoting the optimization of spatial correlation network structure and functional synergy are put forward.
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