4.8 Article

Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input-output model

Journal

APPLIED ENERGY
Volume 171, Issue -, Pages 456-467

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.03.081

Keywords

Sensitivity analysis; Leontief input-output model; Ghosh input-output model; CO2 emission intensity; Energy-intensive industry; China

Funding

  1. National Natural Science Foundation of China [71373172]
  2. Ministry of Education of Philosophy & Social Major Science Project [15JZD021]
  3. Ministry of Education of Humanities & Social Science Project [15YJA790091]

Ask authors/readers for more resources

Sensitivity analysis based on Leontief model is applied for identifying the key factors leading to the change of CO2 emission or energy consumption in the competitive market from demand perspective. On the other hand, this kind of research from supply-side is also valuable for the economy with characteristics of rationing. Based on previous research achievements, this paper developed out sensitivity analysis based on the Ghosh model. In addition, we implemented sensitivity analysis based on the Leontief and Ghosh model respectively to study the most sensitive factors leading to the change of CO2 emission intensities of the six energy-intensive industries. In terms of 2010 Chinese symmetrical input-output table, the results obtained from the two sensitivity analyses are different. From the demand perspective, the level of production technology in the construction industry plays very important role in the CO2 emission intensity of energy-intensive industries. While, from the supply side, the adjustment of rationing in extraction of petroleurri and nature gas should be paid more attention. At last, comparative analysis was carried out and corresponding policy suggestions were put forward. Emphatically, the method used in this paper could be applied to other industries within supply chains of a country, even in the world wide. (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available