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Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses

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  • Wen, Quan
  • Hong, Jingke
  • Liu, Guiwen
  • Xu, Pengpeng
  • Tang, Miaohan
  • Li, Zhongfu

Abstract

As a major contributor to the increasing adverse environmental impact worldwide, China’s construction industry faces major challenges in energy conservation. Improving energy utilization efficiency is an effective method for mitigating energy-intensive problems induced by this industry. Accordingly, this study combined a multiregional input–output model with data envelopment analysis to assess the energy efficiency of China’s construction industry at the provincial level. Results show that the majority of the provincial construction sectors in China are energy inefficient and the performance of energy efficiency is highly related to the level of regional economic development. Scale efficiency is comparatively high in the regional construction sectors, but technical aspects are lagging behind. Moreover, cross-regional energy allocation demonstrates higher efficiency than that of the energy structure. The inefficient utilization of unclean and clean energy can be attributed to the lack of required instruments that can facilitate clean production processes in the construction field. To solve these problems, this study presents corresponding governmental measures and market-driven strategies from the institutional, technical and management aspects. The findings of this study can provide a holistic understanding of the current efficiency status of the construction industry and help decision makers stratify regional energy conservation targets at the industrial level.

Suggested Citation

  • Wen, Quan & Hong, Jingke & Liu, Guiwen & Xu, Pengpeng & Tang, Miaohan & Li, Zhongfu, 2020. "Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses," Applied Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:appene:v:257:y:2020:i:c:s0306261919316514
    DOI: 10.1016/j.apenergy.2019.113964
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    3. Nourelfath, Mustapha & Lababidi, Haitham M.S. & Aldowaisan, Tariq, 2022. "Socio-economic impacts of strategic oil and gas megaprojects: A case study in Kuwait," International Journal of Production Economics, Elsevier, vol. 246(C).
    4. Jingke, Hong & Chenyu, Wang & Chang-Richards, Alice & Jingxiao, Zhang & Qiping, Geoffrey Shen & Bei, Qiao, 2022. "A spatiotemporal analysis of energy use pathways in the construction industry: A study of China," Energy, Elsevier, vol. 239(PC).
    5. Duan, Haiyan & Chen, Siyan & Song, Junnian, 2022. "Characterizing regional building energy consumption under joint climatic and socioeconomic impacts," Energy, Elsevier, vol. 245(C).
    6. Gongli Luo & Xiaotong Wang & Lu Wang & Yanlu Guo, 2021. "The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
    7. Avilés-Sacoto, Estefanía Caridad & Avilés-Sacoto, Sonia Valeria & Güemes-Castorena, David & Cook, Wade D., 2021. "Environmental performance evaluation: A state-level DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    8. Huang, He & Hong, Jingke & Wang, Xianzhu & Chang-Richards, Alice & Zhang, Jingxiao & Qiao, Bei, 2022. "A spatiotemporal analysis of the driving forces behind the energy interactions of the Chinese economy: Evidence from static and dynamic perspectives," Energy, Elsevier, vol. 239(PB).

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