Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study
In line with the pressures of energy shortage and economic development, Chinese government has adopted a series of measures and policies to promote the exploitation and utilization efficiency of electric power. China is urgently reconsidering its electric power development level and coordinating bet...
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doaj-9c0ff608bda4467d87579a0bd998a0952020-11-24T22:34:55ZengMDPI AGSustainability2071-10502017-02-019220910.3390/su9020209su9020209Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case StudyJiang Zhu0Zhenyu Zhao1School of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaIn line with the pressures of energy shortage and economic development, Chinese government has adopted a series of measures and policies to promote the exploitation and utilization efficiency of electric power. China is urgently reconsidering its electric power development level and coordinating between power supply and demand sides. Therefore, in this paper, Chinese industrial structure of electric power was constructed according to its production process from resource, production and consumption sides. With the constructed industrial structure, the influencing factors on each side were selected to build a measurable evaluation system. Thirty-one Chinese provinces were chosen to explore their development coordination level based on the projection pursuit model and coupling coordination model. By the projection pursuit model, improved projection directions and best projection vectors of each province were found to describe the development level of each side. The coupling coordination model was adopted to explore the provincial supply and demand relations between electric power industry side via the indexes of coupling degree, coordination degree and relative development degree. By using ArcGIS mapping analysis, the results show the changes in Chinese provincial coupling and coordination development levels from 2011 to 2014. Finally, using the evaluation results, optimal strategies were discussed for improving the coordination of Chinese electric power development from different aspects, such as technical support, project approval and supervision, and demand side management. The findings prove that projection pursuit model and coupling coordination model can evaluate the electric power development level and describe their dynamic changing coordination relations effectively.http://www.mdpi.com/2071-1050/9/2/209electric power developmentprojection pursuitcoupling coordinationdistribution efficiency |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiang Zhu Zhenyu Zhao |
spellingShingle |
Jiang Zhu Zhenyu Zhao Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study Sustainability electric power development projection pursuit coupling coordination distribution efficiency |
author_facet |
Jiang Zhu Zhenyu Zhao |
author_sort |
Jiang Zhu |
title |
Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study |
title_short |
Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study |
title_full |
Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study |
title_fullStr |
Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study |
title_full_unstemmed |
Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study |
title_sort |
chinese electric power development coordination analysis on resource, production and consumption: a provincial case study |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2017-02-01 |
description |
In line with the pressures of energy shortage and economic development, Chinese government has adopted a series of measures and policies to promote the exploitation and utilization efficiency of electric power. China is urgently reconsidering its electric power development level and coordinating between power supply and demand sides. Therefore, in this paper, Chinese industrial structure of electric power was constructed according to its production process from resource, production and consumption sides. With the constructed industrial structure, the influencing factors on each side were selected to build a measurable evaluation system. Thirty-one Chinese provinces were chosen to explore their development coordination level based on the projection pursuit model and coupling coordination model. By the projection pursuit model, improved projection directions and best projection vectors of each province were found to describe the development level of each side. The coupling coordination model was adopted to explore the provincial supply and demand relations between electric power industry side via the indexes of coupling degree, coordination degree and relative development degree. By using ArcGIS mapping analysis, the results show the changes in Chinese provincial coupling and coordination development levels from 2011 to 2014. Finally, using the evaluation results, optimal strategies were discussed for improving the coordination of Chinese electric power development from different aspects, such as technical support, project approval and supervision, and demand side management. The findings prove that projection pursuit model and coupling coordination model can evaluate the electric power development level and describe their dynamic changing coordination relations effectively. |
topic |
electric power development projection pursuit coupling coordination distribution efficiency |
url |
http://www.mdpi.com/2071-1050/9/2/209 |
work_keys_str_mv |
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1725725828914872320 |