Natural Hazards

, Volume 95, Issue 1–2, pp 39–53 | Cite as

Decoupling and decomposing analysis of construction industry’s energy consumption in China

  • Dequn Zhou
  • Lu Zhang
  • Donglan Zha
  • Fei Wu
  • Qunwei WangEmail author
Original Paper


The construction industry is one of the key industries for driving energy conservation in China. Decoupling of the construction industry development from energy consumption has become the focus of the green economy. This study applied an elastic decoupling model to explore the decoupling status between energy consumption and output value in China’s construction industry. Log-Mean Divisia Index was utilized to explain the factors influencing decoupling from the perspectives of labor, efficiency, and investment. Results indicate that weak decoupling is the main status during 2000–2015. This means Chinese construction industrial development is no longer occurring at the expense of faster energy consumption growth. The labor factor is the dominant factor in the appearance of the decoupling status, and its cumulative increase impact on energy productivity is 230%, followed by efficiency factors (135%). Investment factors fail to drive the construction industry to a decoupling development state in most years, but there have been improvements during the 12th “Five-Year Plan.”


Construction industry Energy consumption Decoupling analysis Driving factors 



Authors are grateful to the financial support from the National Natural Science Foundation of China (Nos. 71573186 and 71834003), the Fundamental Research Funds for the Central Universities (Nos. NE2017005 and NW2018002), and Six Talents Peak Project of Jiangsu Province (No. JY-032).


  1. Andreoni V, Galmarini S (2012) Decoupling economic growth from carbon dioxide emissions: a decomposition analysis of Italian energy consumption. Energy 44(1):682–691CrossRefGoogle Scholar
  2. Ang BW (2004) Decomposition analysis for policymaking in energy: which is the preferred method? Energy Policy 32(9):1131–1139CrossRefGoogle Scholar
  3. Ang BW, Zhang FQ (2014) A survey of index decomposition analysis in energy and environmental studies. Energy 25(12):1149–1176CrossRefGoogle Scholar
  4. Bennetzen EH, Smith P, Porter JR (2016) Decoupling of greenhouse gas emissions from global agricultural production: 1970–2050. Glob Change Biol 22(2):763–781CrossRefGoogle Scholar
  5. Buus T (2017) Energy efficiency and energy prices: a general mathematical framework. Energy 139:743–754CrossRefGoogle Scholar
  6. Cai WG, Wu Y, Zhong Y, Ren H (2009) China building energy consumption: situation, challenges and corresponding measures. Energy Policy 37(6):2054–2059CrossRefGoogle Scholar
  7. Cai W, Ren H, Cao S (2014) Decomposition analysis of driving factors for building energy consumption in China. Nat Environ Pollut Technol 13(1):203–210Google Scholar
  8. Chen B, Yang Q, Li JS, Chen GQ (2017) Decoupling analysis on energy consumption, embodied GHG emissions and economic growth—the case study of Macao. Renew Sustain Energy Rev 67:662–672CrossRefGoogle Scholar
  9. Cheng Z, Li L, Liu J (2017) The emissions reduction effect and technical progress effect of environmental regulation policy tools. J Clean Prod 149:191–205CrossRefGoogle Scholar
  10. Chong CH, Liu P, Ma L, Li Z, Ni W, Li X et al (2017) LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram. Energy 133:525–544CrossRefGoogle Scholar
  11. Dai Y, Gao HO (2016) Energy consumption in China’s logistics industry: a decomposition analysis using the LMDI approach. Transp Res D 46:69–80CrossRefGoogle Scholar
  12. Dong B, Zhang M, Mu H, Su X (2016) Study on decoupling analysis between energy consumption and economic growth in Liaoning Province. Energy Policy 97:414–420CrossRefGoogle Scholar
  13. Elgohary KM, Aziz RF (2013) Factors influencing construction labor productivity in Egypt. J Manag Eng 30(1):1–9CrossRefGoogle Scholar
  14. Freitas LCD, Kaneko S (2011) Decomposing the decoupling of CO2, emissions and economic growth in Brazil. Ecol Econ 70(8):1459–1469CrossRefGoogle Scholar
  15. Kang ZY, Li K, Qu J (2018) The path of technological progress for China’s low-carbon development: evidence from three urban agglomerations. J Clean Prod 178:644–654CrossRefGoogle Scholar
  16. Kwan F, Zhang Y, Zhuo S (2018) Labour reallocation, productivity growth and dualism: the case of China. Int Rev Econ Finance. Google Scholar
  17. Lannelongue G, Gonzalez-Benito J, Quiroz I (2017) Environmental management and labour productivity: the moderating role of capital intensity. J Environ Manag 190:158–160CrossRefGoogle Scholar
  18. Lee J, Park YJ, Choi CH, Han CH (2017) BIM-assisted labor productivity measurement method for structural formwork. Autom Constr 84:121–132CrossRefGoogle Scholar
  19. Li A, Lin B (2013) Comparing climate policies to reduce carbon emissions in China. Energy Policy 60(6):667–674CrossRefGoogle Scholar
  20. Li K, Lin B (2018) How to promote energy efficiency through technological progress in China? Energy 143:812–821CrossRefGoogle Scholar
  21. Li D, Lu Y, Zhang B, Cui P (2015) Decomposition of energy-induced carbon emissions in the construction industry of China. In: Proceedings of the 19th international symposium on advancement of construction management and real estate. Springer, Berlin, pp 193–203Google Scholar
  22. Li W, Sun W, Li G, Jin B, Wu W, Cui P et al (2018) Transmission mechanism between energy prices and carbon emissions using geographically weighted regression. Energy Policy 115:434–442CrossRefGoogle Scholar
  23. Lin B, Liu H (2015) CO2, mitigation potential in China’s building construction industry: a comparison of energy performance. Build Environ 94(3):239–251CrossRefGoogle Scholar
  24. Liu H, Lin B (2016) Energy substitution, efficiency, and the effects of carbon taxation: evidence from China’s building construction industry. J Clean Prod 141:1134–1144CrossRefGoogle Scholar
  25. Lu Y, Peng C, Li D (2016) Carbon emissions and policies in China’s building and construction industry: evidence from 1994 to 2012. Build Environ 95:94–103CrossRefGoogle Scholar
  26. Luo Y, Long X, Wu C, Zhang J (2017) Decoupling CO2 emissions from economic growth in agricultural sector across 30 Chinese provinces from 1997 to 2014. J Clean Prod 159:220–228CrossRefGoogle Scholar
  27. Mairet N, Decellas F (2009) Determinants of energy demand in the French service sector: a decomposition analysis. Energy Policy 37(7):2734–2744CrossRefGoogle Scholar
  28. OECD (2002) Indicators to measure decoupling of environmental pressures from economic growth. OECD, ParisGoogle Scholar
  29. Samuel G, Olani A (2018) Energy price, energy efficiency, and capital productivity: empirical investigations and policy implications. Energy Econ 72:650–666CrossRefGoogle Scholar
  30. Shao S, Yang L, Gan C, Cao J, Geng Y, Guan D (2016) Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2, emission changes: a case study for Shanghai (China). Renew Sustain Energy Rev 55:516–536CrossRefGoogle Scholar
  31. Shi Q, Chen J, Shen L (2017) Driving factors of the changes in the carbon emissions in the Chinese construction industry. J Clean Prod 166:615–627CrossRefGoogle Scholar
  32. Tapio P (2005) Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transp Policy 12(2):137–151CrossRefGoogle Scholar
  33. Wang M, Feng C (2018) Decomposing the change in energy consumption in China’s nonferrous metal industry: an empirical analysis based on the LMDI method. Renew Sustain Energy Rev 82:2652–2663CrossRefGoogle Scholar
  34. Wang J, Zhao T, Xu X, Zhang X (2016a) Exploring the changes of energy-related carbon intensity in China: an extended Divisia index decomposition. Nat Hazards 83(1):501–521CrossRefGoogle Scholar
  35. Wang Q, Hang Y, Zhou P, Wang Y (2016b) Decoupling and attribution analysis of industrial carbon emissions in Taiwan. Energy 113:728–738CrossRefGoogle Scholar
  36. Wang Q, Zhang C, Cai W (2017a) Factor substitution and energy productivity fluctuation in China: a parametric decomposition analysis. Energy Policy 109:181–190CrossRefGoogle Scholar
  37. Wang W, Li M, Zhang M (2017b) Study on the changes of the decoupling indicator between energy-related CO2, emission and GDP in China. Energy 128:11–18CrossRefGoogle Scholar
  38. Xu XY, Ang BW (2014) Analysing residential energy consumption using index decomposition analysis. Appl Energy 113(1):342–351CrossRefGoogle Scholar
  39. Yang Z, Shao S, Yang L, Liu J (2016) Differentiated effects of diversified technological sources on energy-saving technological progress: empirical evidence from China’s industrial sectors. Renew Sustain Energy Rev 72:1379–1388CrossRefGoogle Scholar
  40. Zhang X, Wu L, Zhang R, Deng S, Zhang Y, Wu J et al (2013) Evaluating the relationships among economic growth, energy consumption, air emissions and air environmental protection investment in china. Renew Sustain Energy Rev 18(2):259–270CrossRefGoogle Scholar
  41. Zhang M, Bai C, Zhou M (2016) Decomposition analysis for assessing the progress in decoupling relationship between coal consumption and economic growth in China. Resour Conserv Recycl 129:454–462CrossRefGoogle Scholar
  42. Zhao Y, Li H, Zhang Z, Zhang Y, Wang S, Liu Y (2016) Decomposition and scenario analysis of CO2, emissions in China’s power industry: based on LMDI method. Nat Hazards 86(2):1–24CrossRefGoogle Scholar
  43. Zhen W, Qin Q, Kuang Y, Huang N (2017) Investigating low-carbon crop production in Guangdong Province, China (1993–2013): a decoupling and decomposition analysis. J Clean Prod 146:63–70CrossRefGoogle Scholar
  44. Zhou X, Zhang M, Zhou M, Zhou M (2016) A comparative study on decoupling relationship and influence factors between China’s regional economic development and industrial energy-related carbon emissions. J Clean Prod 142:783–800CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Dequn Zhou
    • 1
    • 2
  • Lu Zhang
    • 1
    • 2
  • Donglan Zha
    • 1
    • 2
  • Fei Wu
    • 1
    • 2
  • Qunwei Wang
    • 1
    • 2
    Email author
  1. 1.College of Economics and ManagementNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.Research Centre for Soft Energy ScienceNanjing University of Aeronautics and AstronauticsNanjingChina

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