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Carbon Emissions in China’s Construction Industry: Calculations, Factors and Regions

Author

Listed:
  • Qiang Du

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Xinran Lu

    (School of Civil Engineering, Chang’an University, Xi’an 710061, China)

  • Yi Li

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Min Wu

    (School of Civil Engineering, Chang’an University, Xi’an 710061, China)

  • Libiao Bai

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Ming Yu

    (School of Civil Engineering, Chang’an University, Xi’an 710061, China)

Abstract

The production of construction projects is carbon-intensive and interrelated to multiple other industries that provide related materials and services. Thus, the calculations of carbon emissions are relatively complex, and the consideration of other factors becomes necessary, especially in China, which has a massive land area and regions with greatly uneven development. To improve the accuracy of the calculations and illustrate the impacts of the various factors at the provincial level in the construction industry, this study separated carbon emissions into two categories, the direct category and the indirect category. The features of carbon emissions in this industry across 30 provinces in China were analysed, and the logarithmic mean Divisia index (LMDI) model was employed to decompose the major factors, including direct energy proportion, unit value energy consumption, value creation effect, indirect carbon intensity, and scale effect of output. It was concluded that carbon emissions increased, whereas carbon intensity decreased dramatically, and indirect emissions accounted for 90% to 95% of the total emissions from the majority of the provinces between 2005 and 2014. The carbon intensities were high in the underdeveloped western and central regions, especially in Shanxi, Inner-Mongolia and Qinghai, whereas they were low in the well-developed eastern and southern regions, represented by Beijing, Shanghai, Zhejiang and Guangdong. The value creation effect and indirect carbon intensity had significant negative effects on carbon emissions, whereas the scale effect of output was the primary factor creating emissions. The factors of direct energy proportion and unit value energy consumption had relatively limited, albeit varying, effects. Accordingly, this study reveals that the evolving trends of these factors vary in different provinces; therefore, overall, our research results and insights support government policy and decision maker’s decisions to minimize the carbon emissions in the construction industry.

Suggested Citation

  • Qiang Du & Xinran Lu & Yi Li & Min Wu & Libiao Bai & Ming Yu, 2018. "Carbon Emissions in China’s Construction Industry: Calculations, Factors and Regions," IJERPH, MDPI, vol. 15(6), pages 1-17, June.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1220-:d:151645
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    References listed on IDEAS

    as
    1. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    2. Dimoudi, A. & Tompa, C., 2008. "Energy and environmental indicators related to construction of office buildings," Resources, Conservation & Recycling, Elsevier, vol. 53(1), pages 86-95.
    3. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    4. Nässén, Jonas & Holmberg, John & Wadeskog, Anders & Nyman, Madeleine, 2007. "Direct and indirect energy use and carbon emissions in the production phase of buildings: An input–output analysis," Energy, Elsevier, vol. 32(9), pages 1593-1602.
    5. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    6. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
    7. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    8. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    9. 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.
    10. Yuan, Jiahai & Xu, Yan & Hu, Zheng & Zhao, Changhong & Xiong, Minpeng & Guo, Jingsheng, 2014. "Peak energy consumption and CO2 emissions in China," Energy Policy, Elsevier, vol. 68(C), pages 508-523.
    11. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    12. Li, Man, 2010. "Decomposing the change of CO2 emissions in China: A distance function approach," Ecological Economics, Elsevier, vol. 70(1), pages 77-85, November.
    13. Chen, G.Q. & Zhang, Bo, 2010. "Greenhouse gas emissions in China 2007: Inventory and input-output analysis," Energy Policy, Elsevier, vol. 38(10), pages 6180-6193, October.
    14. Oguz Ocal & Ilhan Ozturk & Alper Aslan, 2013. "Coal Consumption and Economic Growth in Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 3(2), pages 193-198.
    15. Ang, James B., 2008. "Economic development, pollutant emissions and energy consumption in Malaysia," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 271-278.
    16. Soytas, Ugur & Sari, Ramazan, 2009. "Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member," Ecological Economics, Elsevier, vol. 68(6), pages 1667-1675, April.
    17. Jalil, Abdul & Mahmud, Syed F., 2009. "Environment Kuznets curve for CO2 emissions: A cointegration analysis for China," Energy Policy, Elsevier, vol. 37(12), pages 5167-5172, December.
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    Cited by:

    1. Qingye Han & Junjie Chang & Guiwen Liu & Heng Zhang, 2022. "The Carbon Emission Assessment of a Building with Different Prefabrication Rates in the Construction Stage," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    2. Xilian Wang & Lihang Qu & Yueying Wang & Helin Xie, 2023. "Dynamic Scenario Predictions of Peak Carbon Emissions in China’s Construction Industry," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    3. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.

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