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Energy use and CO2 emissions in Mexico's iron and steel industry

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  • Ozawa, Leticia
  • Sheinbaum, Claudia
  • Martin, Nathan
  • Worrell, Ernst
  • Price, Lynn

Abstract

Energy use and carbon dioxide emissions for the Mexican iron and steel industry are analyzed from 1970 to 1996. To assess the trends in energy use and carbon dioxide emissions, we used a decomposition analysis based on physical indicators to decompose the intra-sectoral structural changes and efficiency improvements. We used a structure/efficiency analysis for international comparisons, considering industrial structure and the best available technology. This study shows that steel production growth drove up primary energy use by 211% between 1970 and 1996, while structural changes (production and process mix) decreased primary energy use by 12% and energy efficiency changes drove down energy use by 51%. In addition, carbon dioxide emissions would have increased by 9% if the primary fuel mix had remained constant at 1970 levels.

Suggested Citation

  • Ozawa, Leticia & Sheinbaum, Claudia & Martin, Nathan & Worrell, Ernst & Price, Lynn, 2002. "Energy use and CO2 emissions in Mexico's iron and steel industry," Energy, Elsevier, vol. 27(3), pages 225-239.
    • Handle: RePEc:eee:energy:v:27:y:2002:i:3:p:225-239
    DOI: 10.1016/S0360-5442(01)00082-2
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    References listed on IDEAS

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    Cited by:

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    2. Arens, Marlene & Worrell, Ernst & Schleich, Joachim, 2012. "Energy intensity development of the German iron and steel industry between 1991 and 2007," Energy, Elsevier, vol. 45(1), pages 786-797.
    3. Zeus Guevara & Oscar Córdoba & Edith X. M. García & Rafael Bouchain, 2017. "The Status and Evolution of Energy Supply and Use in Mexico Prior to the 2014 Energy Reform: An Input-Output Approach †," Economies, MDPI, vol. 5(1), pages 1-17, March.
    4. Napp, T.A. & Gambhir, A. & Hills, T.P. & Florin, N. & Fennell, P.S, 2014. "A review of the technologies, economics and policy instruments for decarbonising energy-intensive manufacturing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 616-640.
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    6. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    7. Siitonen, Sari & Tuomaala, Mari & Ahtila, Pekka, 2010. "Variables affecting energy efficiency and CO2 emissions in the steel industry," Energy Policy, Elsevier, vol. 38(5), pages 2477-2485, May.
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    9. Sheinbaum, Claudia & Ozawa, Leticia & Castillo, Daniel, 2010. "Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico's iron and steel industry," Energy Economics, Elsevier, vol. 32(6), pages 1337-1344, November.
    10. Hidalgo, Ignacio & Szabo, Laszlo & Carlos Ciscar, Juan & Soria, Antonio, 2005. "Technological prospects and CO2 emission trading analyses in the iron and steel industry: A global model," Energy, Elsevier, vol. 30(5), pages 583-610.
    11. Olanrewaju, O.A. & Jimoh, A.A. & Kholopane, P.A., 2012. "Integrated IDA–ANN–DEA for assessment and optimization of energy consumption in industrial sectors," Energy, Elsevier, vol. 46(1), pages 629-635.
    12. Xu, Bin & Lin, Boqiang, 2016. "Regional differences in the CO2 emissions of China's iron and steel industry: Regional heterogeneity," Energy Policy, Elsevier, vol. 88(C), pages 422-434.
    13. Leonardo Leoni & Alessandra Cantini & Filippo De Carlo & Marcello Salvio & Chiara Martini & Claudia Toro & Fabrizio Martini, 2021. "Energy-Saving Technology Opportunities and Investments of the Italian Foundry Industry," Energies, MDPI, vol. 14(24), pages 1-29, December.
    14. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    15. Xu, Bin & Lin, Boqiang, 2017. "Assessing CO2 emissions in China's iron and steel industry: A nonparametric additive regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 325-337.
    16. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2005. "Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: the relative importance of structural change, intensity change and scale change," Energy Policy, Elsevier, vol. 33(3), pages 319-335, February.
    17. Andrea Ramírez & Martin K. Patel & Kornelis Blok, 2011. "Using Physical Indicators to Monitor Energy Efficiency in Energy-Extensive Sectors," Chapters, in: Raymond J.G.M. Florax & Henri L.F. de Groot & Peter Mulder (ed.), Improving Energy Efficiency through Technology, chapter 4, Edward Elgar Publishing.
    18. Pardo, Nicolás & Moya, José Antonio, 2013. "Prospective scenarios on energy efficiency and CO2 emissions in the European Iron & Steel industry," Energy, Elsevier, vol. 54(C), pages 113-128.
    19. Ke, Jing & Price, Lynn & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan, 2013. "Analysis and practices of energy benchmarking for industry from the perspective of systems engineering," Energy, Elsevier, vol. 54(C), pages 32-44.
    20. Kirschen, Marcus & Risonarta, Victor & Pfeifer, Herbert, 2009. "Energy efficiency and the influence of gas burners to the energy related carbon dioxide emissions of electric arc furnaces in steel industry," Energy, Elsevier, vol. 34(9), pages 1065-1072.
    21. Xu, Bin & Chen, Jianbao, 2021. "How to achieve a low-carbon transition in the heavy industry? A nonlinear perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).

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