Temporal and spatial variations of correlation degree between electricity consumption and industrial structure in Zhejiang Province

陈理; 虎陈霞; 陈芳; 陈玉峰; 陈清泰

doi:10.3969/j.issn.1009-1831.2018.04.003

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Temporal and spatial variations of correlation degree between electricity consumption and industrial structure in Zhejiang Province

更新时间：2026-03-05

- Temporal and spatial variations of correlation degree between electricity consumption and industrial structure in Zhejiang Province
- Vol. 20, Issue 4, (2018)
- 作者机构：
  
  1. 国网浙江海盐县供电有限公司,浙江,嘉兴,314300
  2. 中国计量大学,杭州,310018
  3. 浙江华云信息科技有限公司,杭州,310000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2018.04.003
  CLC：
- Published：2018
- 稿件说明：
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陈理, 虎陈霞, 陈芳, et al. Temporal and spatial variations of correlation degree between electricity consumption and industrial structure in Zhejiang Province[J]. 2018, 20(4).
DOI：

陈理, 虎陈霞, 陈芳, et al. Temporal and spatial variations of correlation degree between electricity consumption and industrial structure in Zhejiang Province[J]. 2018, 20(4). DOI： 10.3969/j.issn.1009-1831.2018.04.003.

摘要

利用灰色关联分析法对浙江省1990—2015年电力消费量与产业结构关联度作了动态的定量分析，确定了不同时期浙江省电力消费量的主要影响因子及其与产业结构发展的关联度；对浙江省下辖11个地市2000—2015年电力消费量与产业结构关联度作了定量分析，确定了11个地市近15年以来电力消费量与产业结构的关联度，并进一步用聚类方法对11个地市进行了空间差异分析，结果表明：受地区经济发展水平和产业结构的影响，11个地市的电力消费量与产业结构的关联度有明显的空间差异。

Abstract

The article analyzed quantitative the dynamic changes of the correlation degree between electricity consumption and industrial structure from 1990 to 2015 in Zhejiang province by using the Grey Relational Analysis method. The main impact fac-tors of electricity consumption in different periods and their correlation relationship with the industrial structure are determined. At the same time

based on the correlation degree between electricity consumption and industrial structure in 11 cities of Zhejiang Province from 2000 to 2015

the article explored the spatial variation of correlation degree between electricity consumption and industrial structure in Zhejiang Province by using the cluster analysis. The results show obvious spatial differences on correlation degree between the electricity consumption and industrial structure in the 11 cities

influenced by the development level of local economy and industry structure.

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