| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 8 | |
| Section | New Energy Development and Energy Sustainable Development Optimization | |
| DOI | https://doi.org/10.1051/e3sconf/202021802020 | |
| Published online | 11 December 2020 | |
Research on the Correlation Between Energy Reform and City Development Based on Cointegration and Causality Analysis Part 2 Interpretative Structure Model and Panel Data Regression Model
1
State Grid Energy Research Institute, 102209, Beijing, China
2
State Grid Xiongan New Area Electric Power Supply Company, 071000, Xiongan, China
3
College of Information and Electrical Engineering, China Agricultural University, 100083 , Beijing, China
a Corresponding author: zhangyan_1990@126.com
This article builds a model of energy-city development correlation, and factors for energy systems to drive city development. It also analyzes the corresponding indicators and determines the intercorrelation between the indicators. In the end, the article collects and categorizes energy, industry, environment, and other representative indicators from prefecture-level cities in China, and analyzes the factors affecting energy and city development based on the panel data regression model.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.