Abstract
According to the statistical data of total energy consumption- industrial output in 1990-2008 in Hebei Province, this paper establishes a function of energy consumption - industrial output, analyzes test results through the unit root test, causality test, co-integration and error correction model, and obtains following conclusion: energy consumption and industrial output in Hebei form relationships of short-term fluctuation and long-term balance, and the results are obvious. On this basis, to coordinate development of energy and economy and reduce energy consumption, implementing energy development strategy and optimizing industrial structure is necessary, and adjusting the industrial industry is a key.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lin, B.: China’s energy demand econometric analysis. Statistical Research (10), 34–39 (2001)
Lin, Y.-C.: Analysis of energy consumption and its influencing factors in Shanghai. East China Normal University, Shanghai (2006)
Peng, W.: The study on regional differences of China’s economic growth and energy consumption. Jiangsu University (2009)
Li, Y.: Gray Correlation Analysis of energy consumption and economic growth based on the perspective of constraint-based energy structure. Technical and economic (03) (2010)
Cheng, Z.: Econometric theory and practice. Shanghai Finance University Press (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, D., Cui, H. (2011). Research on Total Energy Consumption and Industrial Production Based on Error Correction Model in Hebei Province. In: Shen, G., Huang, X. (eds) Advanced Research on Electronic Commerce, Web Application, and Communication. ECWAC 2011. Communications in Computer and Information Science, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20367-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-20367-1_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20366-4
Online ISBN: 978-3-642-20367-1
eBook Packages: Computer ScienceComputer Science (R0)