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Carbon emissions in China׳s cement industry: A sector and policy analysis

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  • Lin, Boqiang
  • Zhang, Zihan

Abstract

This paper analyzed the changes in carbon-dioxide (CO2) emission in China׳s cement industry over the period 1991–2010. Logarithmic Mean Divisia Index (LMDI) was applied for the decomposition analysis. Five determinants were examined and the results divided into five time intervals, according to China׳s five-year economic plans. The results show that labor productivity was the major driving force of increase in CO2 emission in China׳s cement industry, and energy intensity was the major contributor to CO2 emission reduction. The other three factors also generated certain level of effects. This article provides some policy suggestions which could be adopted to reduce CO2 emission in this energy-intensive industry.

Suggested Citation

  • Lin, Boqiang & Zhang, Zihan, 2016. "Carbon emissions in China׳s cement industry: A sector and policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1387-1394.
    • Handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:1387-1394
    DOI: 10.1016/j.rser.2015.12.348
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    4. Huang, Jian-Bai & Luo, Yu-Mei & Feng, Chao, 2019. "An overview of carbon dioxide emissions from China's ferrous metal industry: 1991-2030," Resources Policy, Elsevier, vol. 62(C), pages 541-549.
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    7. Luo, Zongwei & Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Hazen, Benjamin & Roubaud, David, 2017. "Sustainable production framework for cement manufacturing firms: A behavioural perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 495-502.
    8. Lin, Boqiang & Xu, Bin, 2018. "Factors affecting CO2 emissions in China's agriculture sector: A quantile regression," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 15-27.
    9. Wang, Shaojian & Shi, Chenyi & Fang, Chuanglin & Feng, Kuishuang, 2019. "Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model," Applied Energy, Elsevier, vol. 235(C), pages 95-105.
    10. Li, Wei & Gao, Shubin, 2018. "Prospective on energy related carbon emissions peak integrating optimized intelligent algorithm with dry process technique application for China's cement industry," Energy, Elsevier, vol. 165(PB), pages 33-54.
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    Keywords

    Cement industry; CO2 emission; LMDI method; China;
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