Static Correlation Analysis with Industrial Electricity Consumption Volumes

Zhongping Xu, Bingxu Hou, Peng An, W. Luo, Lu Gao, Xi Chen
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引用次数: 3

Abstract

Based on that electricity consumption is an objective indicator of industrial activities, it is deduced that the economic connections between industries can be mapped to the correlation of their electricity consumption time sequences. Correlation analysis of industrial electricity consumption can be categorized into static analysis and dynamic analysis based on whether causality is considered. The former aims at describing a topological figure of the industrial structure while the latter at deciding direction and strength of driving force transfer. In this paper, static analysis is performed with Shandong prefecture industry electricity consumption data. An MST network is built with Shandong 133-industry classification. The result shows generalities and specialties of Shandong industrial structure, comparing with common cognition. Centrality analysis is performed with electricity data of industry divisions and groups in Shandong prefectures. The result presents the influence of different industries to local national economy. The study offers a viewpoint of power to discover and explain industrial economic features and could be of assistance for the authority in making related strategy.
工业用电量的静态相关分析
基于用电量是工业活动的客观指标,推导出工业之间的经济联系可以映射为工业用电量时间序列的相关性。根据是否考虑因果关系,工业用电量的相关分析可分为静态分析和动态分析。前者旨在描述产业结构的拓扑图形,后者旨在决定驱动力转移的方向和强度。本文对山东省工业用电量数据进行了静态分析。以山东省133个行业分类为基础,构建了MST网络。结果表明,与一般认知相比,山东产业结构具有共性和特殊性。对山东地州工业部门和集团的电力数据进行了中心性分析。结果显示了不同行业对当地国民经济的影响。本研究提供了一种权力视角来发现和解释产业经济特征,可以为当局制定相关战略提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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