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Spatiotemporal investigation of energy network patterns of agglomeration economies in China: Province-level evidence

机译：中国集聚经济体能源网络格局的时空调查：省级证据

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China is currently in the fast track of urbanization and industrialization. This poses a series of challenges pertaining to environmental issues given the resultant boom in energy consumption and carbon emissions. To tackle these problems, this study explores the effects of economic agglomerations and geographic attributes on energy transmission patterns using multi-regional input-output model, complex network analysis, and exploratory spatial data analysis. The results show that Shandong, Jiangsu, and Zhejiang are the three leading regions with regard embodied energy consumption; they have distinct energy utilization models but can also provide instructive lessons for energy conservation at the provincial level. Energy interactions represent self-organizing agglomerative patterns, and the physical geographic clusters are highly consistent with the virtual administrative division of agglomeration economies. The in-depth investigation of major agglomerations has revealed that infrastructure construction remains a vital driver of local economies in developing areas, whereas more developed agglomeration economies have more balanced and service-oriented development. Bilateral connections in current major agglomeration economies have been enhanced, but multilateral connections are still rare. The findings of this study provide a bottom-up insight into the spatiotemporal effect on embodied energy system of China. (C) 2019 Elsevier Ltd. All rights reserved.
机译：中国目前正处于城市化和工业化的快速轨道。鉴于随之而来的能源消耗和碳排放量的激增，这对环境问题提出了一系列挑战。为了解决这些问题，本研究使用多区域投入产出模型，复杂网络分析和探索性空间数据分析，探索了经济集聚和地理属性对能源传输模式的影响。结果表明，山东，江苏和浙江是体现能源消耗的三大领先地区。它们具有独特的能源利用模式，但也可以为省级节能提供指导性课程。能源相互作用代表了自组织的集聚模式，而物理地理集群与集聚经济的虚拟行政区划高度一致。对主要集聚区的深入调查显示，基础设施建设仍然是发展中地区当地经济的重要驱动力，而更发达的集聚区经济则具有更加平衡和面向服务的发展。当前主要集聚经济体中的双边联系已得到加强，但多边联系仍然很少。这项研究的发现为自下而上的洞察力对中国具体能源系统的时空效应提供了见解。 （C）2019 Elsevier Ltd.保留所有权利。

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