The potential for improvements in energy efficiency and CO2 emissions in the EU27 iron and steel industry under different payback periods

By J. Moya, N. Pardo. 2013

140 citations recorded by the source corpus.

Subfields: Accounting, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/67261693c6fb1634fe6637f475905879f814123e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Bas J. van Ruijven

In Environmental Engineering

1. Bingjie Xu
2. Boqiang Lin
3. D. V. van Vuuren
4. Bas J. van Ruijven
5. Xiaoling Ouyang
6. Zhaohua Wang
7. Muhammad Shahbaz
8. Kerui Du

In Renewable Energy, Sustainability and the Environment

1. Bingjie Xu
2. Boqiang Lin
3. D. V. van Vuuren
4. Bas J. van Ruijven
5. Muhammad Shahbaz
6. Xiaoling Ouyang
7. Zhaohua Wang
8. Kerui Du

Citations in the corpus

• Long-term model-based projections of energy use and CO2 emissions from the global steel and cement industries (2016, background): “Only several models include retrofit measures for energy efficiency improvement (e.g. Corsten, 2009), though for both steel and cement there is a separate body of literature on emission reduction cost curves (Li and Zhu, 2014; Morrow et al., 2014; Moya and Pardo, 2013).”
• How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models (2015, background): “…electricity generation sector by Ruiz-Mendoza and Sheinbaum-Pardo (2010); in European cement industry by Pardo et al. (2011); in Mexican manufacturing industries by Sheinbaum-Pardo et al. (2012) and Gonzalez and Martinez (2012); and in the EU27 iron and steel industry by Moya and Pardo (2013).”