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Evaluating the Impacts of Health, Social Network and Capital on Craft Efficiency and Productivity: A Case Study of Construction Workers in China

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  • Jingfeng Yuan

    (Department of Construction and Real Estate, Southeast University, Nanjing 210096, China)

  • Wen Yi

    (School of Engineering and Advanced Technology, Massey University, Auckland 0632, New Zealand)

  • Mengyi Miao

    (Department of Construction and Real Estate, Southeast University, Nanjing 210096, China)

  • Lei Zhang

    (Department of Construction and Real Estate, Southeast University, Nanjing 210096, China)

Abstract

The construction industry has been recognized, for many years, as among those having a high likelihood of accidents, injuries and occupational illnesses. Such risks of construction workers can lead to low productivity and social problems. As a result, construction workers’ well-being should be highly addressed to improve construction workers’ efficiency and productivity. Meanwhile, the social support from a social network and capital (SNC) of construction workers has been considered as an effective approach to promote construction workers’ physical and mental health (P&M health), as well as their work efficiency and productivity. Based on a comprehensive literature review, a conceptual model, which aims to improve construction workers’ efficiency and productivity from the perspective of health and SNC, was proposed. A questionnaire survey was conducted to investigate the construction workers’ health, SNC and work efficiency and productivity in Nanjing, China. A structural equation model (SEM) was employed to test the three hypothetical relationships among construction workers’ P&M health, SNC and work efficiency and productivity. The results indicated that the direct impacts from construction workers’ P&M health on work efficiency and productivity were more significant than that from the SNC. In addition, the construction workers’ social capital and the network can indirectly influence the work efficiency and productivity by affecting the construction workers’ P&M health. Therefore, strategies for enhancing construction workers’ efficiency and productivity were proposed. Furthermore, many useable suggestions can be drawn from the research findings from the perspective of a government. The identified indicators and relationships would contribute to the construction work efficiency and productivity assessment and health management from the perspective of the construction workers.

Suggested Citation

  • Jingfeng Yuan & Wen Yi & Mengyi Miao & Lei Zhang, 2018. "Evaluating the Impacts of Health, Social Network and Capital on Craft Efficiency and Productivity: A Case Study of Construction Workers in China," IJERPH, MDPI, vol. 15(2), pages 1-25, February.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:345-:d:132055
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    References listed on IDEAS

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    Cited by:

    1. Yang, Siying & Liu, Fengshuo & Lu, Jingjing & He, Xiaogang, 2022. "Does occupational injury promote industrial robot applications?," Technology in Society, Elsevier, vol. 70(C).
    2. Hui Liu & Jie Li & Hongyang Li & He Li & Peng Mao & Jingfeng Yuan, 2021. "Risk Perception and Coping Behavior of Construction Workers on Occupational Health Risks—A Case Study of Nanjing, China," IJERPH, MDPI, vol. 18(13), pages 1-25, July.
    3. Francisco Arturo Hernández-Arriaza & José Pérez-Alonso & Marta Gómez-Galán & Ferdinando Salata, 2018. "The Guatemalan Construction Industry: Approach of Knowledge Regarding Work Risks Prevention," IJERPH, MDPI, vol. 15(10), pages 1-28, October.
    4. Yolanda Navarro-Abal & Luis Carlos Sáenz-de la Torre & Juan Gómez-Salgado & José Antonio Climent-Rodríguez, 2018. "Job Satisfaction and Perceived Health in Spanish Construction Workers during the Economic Crisis," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    5. José Pérez-Alonso & Marta Gómez-Galán & Marta Agüera-Puntas & Julián Sánchez-Hermosilla & Ángel-Jesús Callejón-Ferre, 2021. "Approach for Assessing the Prevalence of Psychosocial Risks of Workers in the Greenhouse Construction Industry in South-Eastern Spain," IJERPH, MDPI, vol. 18(9), pages 1-29, April.
    6. Nobuki Hashiguchi & Shintaro Sengoku & Yasushi Kubota & Shigeo Kitahara & Yeongjoo Lim & Kota Kodama, 2020. "Age-Dependent Influence of Intrinsic and Extrinsic Motivations on Construction Worker Performance," IJERPH, MDPI, vol. 18(1), pages 1-21, December.
    7. Bhavana Pandit & Alex Albert & Yashwardhan Patil & Ahmed Jalil Al-Bayati, 2018. "Fostering Safety Communication among Construction Workers: Role of Safety Climate and Crew-Level Cohesion," IJERPH, MDPI, vol. 16(1), pages 1-16, December.

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