Study on Energy Saving and Emission Reduction Using Data Envelopment Analysis Model

Lei Chen; Hao Qiang Pang; Tian Yuan Liu; Guang Mu Zhu; Wen Quan Tao

doi:10.4028/www.scientific.net/AMR.524-527.2437

Paper Titles

Evaluating the Impact of Carbon Taxes on the Optimal Design of Distributed Energy Systems
p.2420

Exploration and Analysis of Integrated Management Mode for Low Carbon Scenic Zones: Taking Taishan for Example
p.2425

Financial Subsidy on Low-Carbon Economy Development
p.2429

Study on Carbondioxide Emission Reduction and Energy Consumption Structure Adjustment Optimization Models
p.2433

Study on Energy Saving and Emission Reduction Using Data Envelopment Analysis Model
p.2437

Study on Low-Carbon Development in the Eco-Tourism Area: Taking Qinghai Lake of China as an Example
p.2442

Study on the Concept of Eco-Environmental Protection Manifesting in the Confucianism
p.2448

The Conflict and Development between Resource, Environment and Tourism: A Case of the Ruins of Koguryo as the World Cultural Heritage Site in Ji'an, China
p.2452

The Life Cycle Design of Green Farm Machinery and Green Supply Chain Management
p.2460

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 524-527Study on Energy Saving and Emission Reduction...

Study on Energy Saving and Emission Reduction Using Data Envelopment Analysis Model

Abstract:

In the paper, on the basis of the comprehensive weight method, the total energy saving and emission reduction target is distributed to every region. Then the DEA model is adopted to evaluate the actual effect of the energy consumption and the emission reduction. Finally, the optimal scheme is put forward. Taking China as example to compare the efficiency of the program A, B and the program C, we get that program B is more suitable for China, and in more developed economical region, the task of energy saving and emission reduction is done better.

You might also be interested in these eBooks

Natural Resources and Sustainable Development II

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 524-527)

Pages:

2437-2441

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.524-527.2437

Citation:

Cite this paper

Online since:

May 2012

Authors:

Lei Chen, Hao Qiang Pang, Tian Yuan Liu, Guang Mu Zhu, Wen Quan Tao

Keywords:

Data Envelopment Analysis (DEA), Efficiency, Energy-Saving Emission Reduction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Petroleum Economist. Energy consumption, Petroleum Economist, ISSN 0306-395X, (2003), p.1

Google Scholar

[2] Yuan Fan, Hongbo Wang, Analysis of the Energy-saving Index Distribution—Based on Gansu Province, Journal of Henan Keji University, (2008) (in Chinese)

Google Scholar

[3] James M. Lattin,J. Douglas Carroll,Paul E. Green, Analyzing Multivariate Data, Duxbury Pr, (2002)

Google Scholar

[4] Yajun Guo, The Theories, Methods and Applications of Comprehensive Evaluation (2007). (in Chinese)

Google Scholar

[5] George E. Battese, An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers Group, (1997)

Google Scholar

[6] Desheng Wu，Theories and Methods in Study of Data Envelopment Analysis in Chinese (2006). (in Chinese)

Google Scholar

[7] China Statistics Bureau of Department of energy, China Statistical Yearbook (2009-2010). (in Chinese)

Google Scholar

[8] China Statistics Bureau: China Energy Statistical Yearbook (2009-2010). (in Chinese)

Google Scholar