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Assessment of the degree of order in the organisational structure of electricity regulatory institution in China based on shannon entropy
- Source :
- Energy Policy. 132:429-439
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- An assessment model is built to investigate the degree of order in the organisational structure of the electricity regulatory institution (ERI) in China. The model is based on Shannon entropy and is constructed from the perspective of timeliness and accuracy of the flow of information. The model is then used to evaluate the degree of order in the organisational structures of the ERI during three stages of reform that occurred during 2002–13. The results indicate that the reforms and improvements made in the organisational structure of China's ERI have resulted in a stepwise increase in their degree of order (corresponding to 0.3156, 0.3277, and 0.3324 in the three stages, respectively). On this basis, a scheme is put forward to optimise the degree of order in the structure of the energy regulatory institution in the current stage. The results show that downsizing the internal and subordinate departments appropriately and creating more governmental agencies to regulate energy are conducive to further improving the degree of order of the energy regulatory institution. Finally, we use principal component analysis to propose a priority scheme for adding more regulatory governmental agencies based on sorted energy production and consumption data.
- Subjects :
- Structure (mathematical logic)
Consumption (economics)
business.industry
020209 energy
media_common.quotation_subject
02 engineering and technology
010501 environmental sciences
Management, Monitoring, Policy and Law
Environmental economics
01 natural sciences
General Energy
0202 electrical engineering, electronic engineering, information engineering
Institution
Production (economics)
Organizational structure
Degree of order
Business
Electricity
China
0105 earth and related environmental sciences
media_common
Subjects
Details
- ISSN :
- 03014215
- Volume :
- 132
- Database :
- OpenAIRE
- Journal :
- Energy Policy
- Accession number :
- edsair.doi...........059db79353bfb678ad6a004a7eeaddd4
- Full Text :
- https://doi.org/10.1016/j.enpol.2019.06.002