人民长江 ›› 2023, Vol. 54 ›› Issue (5): 21-30.doi: 10.16232/j.cnki.1001-4179.2023.05.003

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省份及行业视角下的中国水资源-能源流通特征

洪思扬;王红瑞;程涛;邓彩云;赵勇;   

  • 发布日期:2023-06-05

Circulation characteristics of water-energy in China from perspective of provinces and industrial sectors

HONG Siyang WANG Hongrui CHENG Tao DENG Caiyun ZHAO Yong   

  • Published:2023-06-05

摘要: 水资源与能源是社会经济发展中的两类重要资源,两者彼此依存、相互制约、互馈压力,以系统视角深入解析两种资源在国民经济系统中的流通特征,可以为资源高效利用及合理配置提供有效切入点。基于复杂网络理论构建资源网络模型,探究了水资源与能源在中国各省份及各行业之间的流通特征,通过挖掘网络特征寻求资源网络中的关键节点。结果表明:(1)以省份和行业为节点的水资源、能源网络均具备复杂网络属性,网络中的关键节点对于资源调控至关重要。(2)相比于以省份为节点的水资源、能源网络,以行业为节点的资源网络的小世界属性更为显著,因此以重点行业为视角的资源调控将比以省份为视角的更加高效。(3)江苏、山东、广东和浙江等经济发达省份同时在水资源及能源网络中具备较大点强度,化学产品业和金属冶炼及压延加工业具备较大的点强度及特征向量中心度,以上省份及行业的资源节约效应最容易在资源网络中传播扩散。(4)以省份为节点的水资源及能源网络分别集聚为3个和4个社团,江苏、陕西及内蒙古等社团间连接节点的资源节约效应容易在社团之间传播。构建的水与能源网络模型,深化了贸易视角下水与能源流通特征的研究,能够为资源可持续利用提供决策依据。

关键词: 水资源与能源;复杂网络;关键节点;社团结构;

Abstract: Water and energy are two important types of resources in social and economic development.They depend on each other, restrict each other, and feed each other pressure.An in-depth analysis on the circulation characteristics of these two resources in the national economic system from a system perspective can provide an effective entry point for the efficient utilization and rational allocation of resources.Resource networks based on complex networks were built to explore the circulation characteristics of water and energy among different provinces and sectors in China, and key nodes in the resource networks were explored by searching network characteristics.The results show that:(1) Water and energy networks with provinces and sectors as nodes have complex network attributes, and the key nodes in the network were essential for resource regulation.(2) Compared with water and energy networks with provinces as nodes, networks with sectors as nodes had more significant small-world attribute, therefore, resource regulation from the perspective of key sectors would be more efficient than that from the perspective of provinces.(3) Economically developed provinces such as Jiangsu, Shandong, Guangdong, and Zhejiang had greater node strength in water and energy networks.The chemical product industry and metal smelting and rolling industry had large node strength and eigenvector centrality.The resource saving effects of the above provinces and sectors were most easily spread in the resource network.(4) Water and energy networks with provinces as nodes clustered into three and four communities respectively, the resource saving effect of the connecting nodes between communities, such as Jiangsu, Shaanxi, and Inner Mongolia, were easy to spread among communities.The water-energy networks constructed in this paper deepens the research on water and energy circulation characteristics from the perspective of trade, and provides decision-making basis for sustainable use of resources.

Key words: water-energy circulation; complex network; key nodes; community structure;