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Construction Contractors’ Carbon Emissions Reduction Intention: A Study Based on Structural Equation Model

Author

Listed:
  • Junling Jiang

    (School of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

  • Zhaoxin He

    (School of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

  • Changren Ke

    (School of Civil Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

Abstract

The high carbon emissions of the construction industry affect China’s sustainable development. Therefore, reducing the carbon emissions of the construction industry is crucial for China to achieve “carbon peak” by 2030 and “carbon neutrality” by 2060. To understand the factors that affect contractors’ willingness to reduce carbon emissions. This study is based on the Theory of Planned Behavior (TPB) and incorporates three potential influencing factors: personal norms (PN), government regulation (GR), and policy support (PS). It constructs a structural equation model (SEM) to predict the influencing factors of carbon emission reduction intentions (CERI) among construction contractors. This study analyzes the key factors and mechanisms influencing construction contractors’ CERI. The study collected 311 valid questionnaires, which are suitable for SEM research, and the results indicate that: The results show that the model proposed in the study has an explanatory rate of 69% for developers’ willingness to reduce carbon emissions. The most significant influencing factor on construction contractors’ CERI is GR, followed by PS, subjective norms (SN), and perceived behavioral control (PBC). PN and behavioral attitude (BA) towards behavior do not significantly impact CERI. SN mediate the relationship between GR and CERI, while PBC mediates the relationship between PS and CERI. The research findings can guide the government and construction contractors to improve carbon emission reduction governance mechanisms and achieve peak carbon emissions and carbon neutrality.

Suggested Citation

  • Junling Jiang & Zhaoxin He & Changren Ke, 2023. "Construction Contractors’ Carbon Emissions Reduction Intention: A Study Based on Structural Equation Model," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10894-:d:1191799
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    as
    1. Shao, Yanmin & Chen, Zhongfei, 2022. "Can government subsidies promote the green technology innovation transformation? Evidence from Chinese listed companies," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 716-727.
    2. Horbach, Jens & Rammer, Christian & Rennings, Klaus, 2012. "Determinants of eco-innovations by type of environmental impact — The role of regulatory push/pull, technology push and market pull," Ecological Economics, Elsevier, vol. 78(C), pages 112-122.
    3. 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.
    4. Nelson, Tim & Rai, Alan & Esplin, Ryan, 2021. "Overcoming the limitations of variable renewable production subsidies as a means of decarbonising electricity markets," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 544-556.
    5. Yixin Wang & Huiqin Li & Lanlan Xue & Wenjuan Gou, 2022. "The Evolution of the Construction Waste Recycling System and the Willingness to Use Recycled Products in China," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    6. Hongyun Si & Jian-gang Shi & Daizhong Tang & Shiping Wen & Wei Miao & Kaifeng Duan, 2019. "Application of the Theory of Planned Behavior in Environmental Science: A Comprehensive Bibliometric Analysis," IJERPH, MDPI, vol. 16(15), pages 1-26, August.
    7. Zhang, Xiaoling, 2015. "Green real estate development in China: State of art and prospect agenda—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1-13.
    8. Guo, Siyue & Yan, Da & Hu, Shan & Zhang, Yang, 2021. "Modelling building energy consumption in China under different future scenarios," Energy, Elsevier, vol. 214(C).
    9. Bo Yu & Jiayuan Wang & Ying Liao & Huanyu Wu & Aslan B. Wong, 2021. "Determinants Affecting Purchase Willingness of Contractors towards Construction and Demolition Waste Recycling Products: An Empirical Study in Shenzhen, China," IJERPH, MDPI, vol. 18(9), pages 1-20, April.
    10. Tian, Yanping & Song, Wenjing & Liu, Min, 2021. "Assessment of how environmental policy affects urban innovation: Evidence from China’s low-carbon pilot cities program," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 41-56.
    11. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    12. Lu, Weisheng & Chen, Xi & Peng, Yi & Shen, Liyin, 2015. "Benchmarking construction waste management performance using big data," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 49-58.
    13. 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).
    14. Bo Wang & Chunyan Huang & Huaming Wang & Fangwei Liao, 2022. "Impact Factors in Chinese Construction Enterprises’ Carbon Emission-Reduction Intentions," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    15. Cheung, Millissa F.Y. & To, W.M., 2019. "An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 145-153.
    16. Liu, Diyi & Du, Huibin & Southworth, Frank & Ma, Shoufeng, 2017. "The influence of social-psychological factors on the intention to choose low-carbon travel modes in Tianjin, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 42-53.
    17. Orsatti, Gianluca & Quatraro, Francesco & Pezzoni, Michele, 2020. "The antecedents of green technologies: The role of team-level recombinant capabilities," Research Policy, Elsevier, vol. 49(3).
    18. Rachel MacKay Altman, 2004. "Assessing the Goodness-of-Fit of Hidden Markov Models," Biometrics, The International Biometric Society, vol. 60(2), pages 444-450, June.
    19. Shijing Yang & Yikun Su & Wei Wang & Kaicheng Hua, 2019. "Research on Developers’ Green Procurement Behavior Based on the Theory of Planned Behavior," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    20. Hussain, Shahid & Xuetong, Wang & Maqbool, Rashid & Hussain, Mustansar & Shahnawaz, Muhammad, 2022. "The influence of government support, organizational innovativeness and community participation in renewable energy project success: A case of Pakistan," Energy, Elsevier, vol. 239(PC).
    21. Biao Li & Yong Geng & Xiqiang Xia & Dan Qiao, 2021. "The Impact of Government Subsidies on the Low-Carbon Supply Chain Based on Carbon Emission Reduction Level," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    22. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.
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