Energy consumption in China: Spatial effects of industrial concentration, localization, and diversity
Energy consumption in China: Spatial effects of industrial concentration, localization, and diversity
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中国能源消费：产业集中、本地化和多元化的空间效应
DOI：
10.1016/j.scitotenv.2022.158568
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发表时间：
2022-09-09
影响因子：
9.8
通讯作者：
Hu, Zhiqiang
中科院分区：
文献类型：
--
作者：
Cai, Yuanyuan;Hu, Zhiqiang
本文从空间的角度探讨了产业集聚对电力消费的影响。不同类型的产业集聚对能源消费产生不同的影响，并可能产生空间互动。利用2003-2013年中国285个地级市的行业面板数据，采用固定效应的空间杜宾模型（SDM）考察了产业集聚类型对能源消费的空间效应。该模型发现，所有类型的产业集聚在解释当地整体能源消费方面发挥着重要而不同的作用。第二，地理邻近性、多样性和相关多样性表现出对周边地区的空间溢出效应。第三，产业集聚的空间能量效应具有明显的区域异质性。多样性及其子形式之一-与多样性相关的多样性在产业生命周期的初始或中间阶段的地区保持消费节约效应，而与多样性无关的多样性在不同阶段发生变化。研究结果表明，政策制定者应科学区分区域特征，引导产业集聚类型，以实现经济增长与能源节约的平衡。
This paper discusses the effects of industrial agglomeration on electrical energy consumption from a spatial perspective by highlighting multiple agglomeration types. It is argued that different types of industry agglomeration may exert dif-ferentiated effects on energy consumption and their possible spatial interactions. With city sector panel data of China's 285 prefecture-level cities for the period 2003-2013, we adopted the Spatial Durbin Model (SDM) with fixed effects to examine the spatial effects of industrial agglomeration types on energy consumption. The model found that all types of industrial agglomeration play significant and different roles in explaining overall local energy consumption. Second, geographical proximity, diversity, and related variety show the spatial spillover effects on surrounding areas. Third, the spatial energy effects of industrial agglomeration across regions are evidently heterogeneous. Diversity and one of its sub-forms-related variety maintains consumption-saving effects in regions with the initial or intermediate stage of an industry life cycle, while unrelated variety changes over different phases. The results suggest that policy -makers scientifically discriminate regional features and guide the agglomerated types of industries in order to balance economic growth with energy conservation.