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Determinants of workers' pro-environmental behaviour towards enhancing construction waste management: Contributing to China's circular economy

Hao, Jian Li, Yu, Shiwang, Tang, Xiaonan, Wu, Weiwei·2022·Journal of Cleaner Production
DOI 10.1016/j.jclepro.2022.133265
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  1. Afsar, 2016, Linking spiritual leadership and employee pro-environmental behavior: the influence of workplace spirituality, intrinsic motivation, and environmental passion, J. Environ. Psychol., 45, 79, 10.1016/j.jenvp.2015.11.011 · DOI
  2. Afsar, 2020, Responsible leadership and employee's proenvironmental behavior: the role of organizational commitment, green shared vision, and internal environmental locus of control, Corp. Soc. Responsib. Environ. Manag., 27, 297, 10.1002/csr.1806 · DOI
  3. Ahmadisheykhsarmast, 2020, A smart contract system for security of payment of construction contracts, Autom. ConStruct., 120, 10.1016/j.autcon.2020.103401 · DOI
  4. Ajayi, 2017, Critical management practices influencing on-site waste minimization in construction projects, Waste Manag., 59, 330, 10.1016/j.wasman.2016.10.040 · DOI · Paper page
  5. Al-Nahyan, 2019, Communication, coordination, decision-making and knowledge-sharing: a case study in construction management, J. Knowl. Manag., 23, 1764, 10.1108/JKM-08-2018-0503 · DOI
  6. Allwood, 2014, Chapter 30 - Squaring the circular economy: the role of recycling within a hierarchy of material management strategies, 445
  7. Ansari, 2021, Green human resource management and employees pro-environmental behaviours: examining the underlying mechanism, Corp. Soc. Responsib. Environ. Manag., 28, 229, 10.1002/csr.2044 · DOI
  8. Anwer, 2021, Associations between physical or psychosocial risk factors and work-related musculoskeletal disorders in construction workers based on literature in the last 20 years: a systematic review, Int. J. Ind. Ergon., 83, 10.1016/j.ergon.2021.103113 · DOI
  9. Aslam, 2020, Review of construction and demolition waste management in China and USA, J. Environ. Manag., 264, 10.1016/j.jenvman.2020.110445 · DOI
  10. Bakshan, 2017, Behavioral determinants towards enhancing construction waste management: a Bayesian Network analysis, Resour. Conserv. Recycl., 117, 274, 10.1016/j.resconrec.2016.10.006 · DOI
  11. Bao, 2020, Construction waste management performance in green building: contextualising LEED in China, Detritus, 125, 10.31025/2611-4135/2020.13992 · DOI
  12. Bao, 2021, Tackling the “last mile” problem in renovation waste management: a case study in China, Sci. Total Environ., 790, 10.1016/j.scitotenv.2021.148261 · DOI
  13. Bhattacharyya, 2020, Determinants of pro-environmental behaviours–A cross country study of would-be managers, Aust. Account, Bus. Fin. J., 14, 51
  14. Boiral, 2012, Organizational citizenship behaviour for the environment: measurement and validation, J. Bus. Ethics, 109, 431, 10.1007/s10551-011-1138-9 · DOI
  15. Chan, 2012, Managing the stress of Hong Kong expatriate construction professionals in Mainland China: focus group study exploring individual coping strategies and organizational support, J. Construct. Eng. Manag., 138, 1150, 10.1061/(ASCE)CO.1943-7862.0000533 · DOI
  16. Chan, 2014, Structural relationships between cultural values and coping behaviors of professionals in the stressful construction industry, Eng. Construct. Architect. Manag., 21, 133, 10.1108/ECAM-07-2012-0069 · DOI
  17. Chang, 2016, Sustainability transition of the Chinese construction industry: practices and behaviors of the leading construction firms, J. Manag. Eng., 32, 10.1201/9781315382128 · DOI
  18. Clercq, 2020, When does job stress limit organizational citizenship behavior, or not? Personal and contextual resources as buffers, J. Manag. Organ., 1
  19. Coelho, 2017, Affect and the adoption of pro-environmental behaviour: a structural model, J. Environ. Psychol., 54, 127, 10.1016/j.jenvp.2017.10.008 · DOI
  20. Corvellec, 2019, Waste as scats: for an organizational engagement with waste, Organization, 26, 217, 10.1177/1350508418808235 · DOI
  21. Davis, 2021, The classification of construction waste material using a deep convolutional neural network, Autom. ConStruct., 122, 10.1016/j.autcon.2020.103481 · DOI · Paper page
  22. Esa, 2017, Strategies for minimizing construction and demolition wastes in Malaysia, Resour. Conserv. Recycl., 120, 219, 10.1016/j.resconrec.2016.12.014 · DOI
  23. Fan, 2021, An update of COVID-19 influence on waste management, Sci. Total Environ., 754, 10.1016/j.scitotenv.2020.142014 · DOI
  24. Fu, 2020, Environmental awareness and pro-environmental behavior within China's road freight transportation industry: moderating role of perceived policy effectiveness, J. Clean. Prod., 252, 10.1016/j.jclepro.2019.119796 · DOI
  25. Gkargkavouzi, 2019, Environmental behavior in a private-sphere context: integrating theories of planned behavior and value belief norm, self-identity and habit, Resour. Conserv. Recycl., 148, 145, 10.1016/j.resconrec.2019.01.039 · DOI
  26. Guo, 2022, Applying social cognitive theory to the determinants of employees' pro-environmental behaviour towards renovation waste minimization: in pursuit of a circular economy, Waste Biomass Valorization.C, 10.1007/s12649-022-01828-4 · DOI
  27. Hao, 2011, Construction waste challenges in Hong Kong and Pearl river Delta region, Int. J. Construct. Manag., 1, 37, 10.1080/15623599.2011.10773160 · DOI
  28. Hao, 2019, A model for assessing the economic performance of construction waste reduction, J. Clean. Prod., 232, 427, 10.1016/j.jclepro.2019.05.348 · DOI
  29. Hao, 2020, Carbon emission reduction in prefabrication construction during materialization stage: a BIM-based life-cycle assessment approach, Sci. Total Environ., 723, 10.1016/j.scitotenv.2020.137870 · DOI
  30. Hao, 2021, Quantifying construction waste reduction through the application of prefabrication: a case study in Anhui, China, Environ. Sci. Pollut. Control Ser., 28, 24499, 10.1007/s11356-020-09026-2 · DOI · Paper page
  31. Hong, 2019, Water-energy nexus and its efficiency in China's construction industry: evidence from province-level data, Sustain. Cities Soc., 48, 10.1016/j.scs.2019.101557 · DOI
  32. Hwang, 2014, Rework and schedule performance: a profile of incidence, impact, causes and solutions, Eng. Construct. Architect. Manag., 21, 190, 10.1108/ECAM-10-2012-0101 · DOI
  33. Jebelli, 2019, Application of wearable biosensors to construction sites. I: assessing workers' stress, J. Construct. Eng. Manag., 145
  34. Jiang, 2020, Data-driven analytical framework for waste-dumping behaviour analysis to facilitate policy regulations, Waste Manag., 103, 285, 10.1016/j.wasman.2019.12.041 · DOI
  35. Kalamas, 2014, Pro-environmental behaviors for thee but not for me: green giants, green Gods, and external environmental locus of control, J. Bus. Res., 67, 12, 10.1016/j.jbusres.2013.03.007 · DOI
  36. Knight, 2010, Generalised measures of reliability for multiple outliers, J. Geodes., 84, 625, 10.1007/s00190-010-0392-4 · DOI
  37. Lette, 2018, A survey of work-related injuries among building construction workers in southwestern Ethiopia, Int. J. Ind. Ergon., 68, 57, 10.1016/j.ergon.2018.06.010 · DOI
  38. Leung, 2016, Development of a mindfulness–stress–performance model for construction workers, Construct. Manag. Econ., 34, 110, 10.1080/01446193.2016.1147652 · DOI
  39. Leung, 2017, Development of a stressors–stress–performance–outcome model for expatriate construction professionals, J. Construct. Eng. Manag., 143, 10.1061/(ASCE)CO.1943-7862.0001266 · DOI
  40. Li, 2018, Construction waste reduction behavior of contractor employees: an extended theory of planned behavior model approach, J. Clean. Prod., 172, 1399, 10.1016/j.jclepro.2017.10.138 · DOI
  41. Li, 2022, Triggering factors of construction waste reduction behavior: evidence from contractors in Wuhan, China, J. Clean. Prod., 337, 10.1016/j.jclepro.2022.130396 · DOI
  42. Li, 2022, Impact of ethical leadership on employee turnover intentions in the construction industry, J. Construct. Eng. Manag., 148, 10.1061/(ASCE)CO.1943-7862.0002303 · DOI
  43. Liang, 2018, Focus group study to explore critical factors for managing stress of construction workers, J. Construct. Eng. Manag., 144, 10.1061/(ASCE)CO.1943-7862.0001477 · DOI
  44. Liang, 2021, Examining the critical factors for managing workplace stress in the construction industry: a cross-regional study, J. Manag. Eng., 37
  45. Lim, 2017, Analyzing psychological conditions of field-workers in the construction industry, Int. J. Occup. Environ. Health, 23, 261, 10.1080/10773525.2018.1474419 · DOI
  46. Lin, 2020, How does workplace helping behavior step up or slack off? integrating enrichment-based and depletion-based perspectives, J. Manag., 46, 385
  47. Liu, 2019, Attitudes and behaviour towards construction waste minimisation: a comparative analysis between China and the USA, Environ. Sci. Pollut. Control Ser., 26, 13681, 10.1007/s11356-018-2247-0 · DOI
  48. Liu, 2020, System dynamic analysis of construction waste recycling industry chain in China, Environ. Sci. Pollut. Control Ser., 27, 37260, 10.1007/s11356-019-06739-x · DOI
  49. Liu, 2022, Factors driving waste sorting in construction projects in China, J. Clean. Prod., 336, 10.1016/j.jclepro.2022.130397 · DOI
  50. Lu, 2015, Stakeholders' willingness to pay for enhanced construction waste management: a Hong Kong study, Renew. Sustain. Energy Rev., 47, 233, 10.1016/j.rser.2015.03.008 · DOI
  51. Lu, 2017, Estimating and calibrating the amount of building-related construction and demolition waste in urban China, Int. J. Construct. Manag., 17, 13, 10.1080/15623599.2016.1166548 · DOI
  52. Ma, 2022, Evaluating carbon emissions of China's waste management strategies for building refurbishment projects: contributing to a circular economy, Environ. Sci. Pollut. Control Ser.
  53. Ma, 2022, A bibliometric visual analysis of the system dynamics approach for construction and demolition waste management, Cleaner Waste Sys., 1
  54. Magalhães, 2017, Reducing construction waste: a study of urban infrastructure projects, Waste Manag., 67, 265, 10.1016/j.wasman.2017.05.025 · DOI
  55. Mahpour, 2018, Prioritizing barriers to adopt circular economy in construction and demolition waste management, Resour. Conserv. Recycl., 134, 216, 10.1016/j.resconrec.2018.01.026 · DOI
  56. Mi, 2019, A new perspective to promote organizational citizenship behaviour for the environment: the role of transformational leadership, J. Clean. Prod., 239, 10.1016/j.jclepro.2019.118002 · DOI
  57. Morseletto, 2020, Targets for a circular economy, Resour. Conserv. Recycl., 153, 10.1016/j.resconrec.2019.104553 · DOI
  58. Neessen, 2021, Circular purchasing in Dutch and Belgian organizations: the role of intrapreneurship and organizational citizenship behavior towards the environment, J. Clean. Prod., 280, 10.1016/j.jclepro.2020.124978 · DOI
  59. Newaz, 2020, Factors affecting construction waste management streams in Australia, Int. J. Construct. Manag., 1
  60. Ojedokun, 2018, Associations of the five-factor personality traits with environmental citizenship behavior of youth in a Nigerian university community, Manag. Environ. Qual. Int. J., 29, 1135, 10.1108/MEQ-02-2018-0040 · DOI
  61. Olanrewaju, 2017, Roles of communication on performance of the construction sector, vol. 196, 763
  62. Paillé, 2013, Pro-environmental behavior at work: Construct validity and determinants, J. Environ. Psychol., 36, 118, 10.1016/j.jenvp.2013.07.014 · DOI
  63. Palafox-Alcantar, 2020, The complementary use of game theory for the circular economy: a review of waste management decision-making methods in civil engineering, Waste Manag., 102, 598, 10.1016/j.wasman.2019.11.014 · DOI
  64. Park, 2017, Overcoming barriers to the reuse of construction waste material in Australia: a review of the literature, Int. J. Construct. Manag., 17, 228, 10.1080/15623599.2016.1192248 · DOI · Paper page
  65. Patwa, 2021, Towards a circular economy: an emerging economies context, J. Bus. Res., 122, 725, 10.1016/j.jbusres.2020.05.015 · DOI
  66. 2022, vol. 2021
  67. Pierini, 2021, Waste generation and pro-environmental behaviors at household level: a citizen science study in Buenos Aires (Argentina), Resour. Conserv. Recycl., 170, 10.1016/j.resconrec.2021.105560 · DOI
  68. Poon, 2003, Comparison of low‐waste building technologies adopted in public and private housing projects in Hong Kong, Eng. Construct. Architect. Manag., 10, 88, 10.1108/09699980310466578 · DOI
  69. Poon, 2013, Quantifying the impact of construction waste charging scheme on construction waste management in Hong Kong, J. Construct. Eng. Manag., 139, 466, 10.1061/(ASCE)CO.1943-7862.0000631 · DOI
  70. Rahman, 2014, Initial PLS model of construction waste factors. Procedia - social and behavioral sciences, 2nd Int. Conf. Innovat, Manag. Technol. Res., 129, 469
  71. Rasheed, 2020, Antecedents of pro-environmental behavior of supply chain managers: an empirical study, Manag. Environ. Qual. Int. J., 32, 420, 10.1108/MEQ-04-2020-0066 · DOI
  72. Rhee, 2016, Effects of breaks on regaining vitality at work: an empirical comparison of ‘conventional’ and ‘smart phone’ breaks, Comput. Hum. Behav., 57, 160, 10.1016/j.chb.2015.11.056 · DOI
  73. Robertson, 2017, Toward a new measure of organizational environmental citizenship behavior, J. Bus. Res., 75, 57, 10.1016/j.jbusres.2017.02.007 · DOI
  74. Ruiz, 2020, The circular economy in the construction and demolition waste sector – a review and an integrative model approach, J. Clean. Prod., 248
  75. Rustam, 2020, Environmental awareness, firm sustainability exposure and green consumption behaviors, J. Clean. Prod., 268, 10.1016/j.jclepro.2020.122016 · DOI
  76. Salgin, 2017, Construction waste reduction through BIM-based site management approach, Int. J. Eng. Technol. IJET., 3, 135
  77. Sekhokoane, 2017, Do consumption values and environmental awareness impact on green consumption in China?, 713, 10.1007/978-3-319-57931-3_58 · DOI
  78. Severo, 2021, Impact of the COVID-19 pandemic on environmental awareness, sustainable consumption and social responsibility: evidence from generations in Brazil and Portugal, J. Clean. Prod., 286, 10.1016/j.jclepro.2020.124947 · DOI
  79. Stackhouse, 2019, How do organizational practices relate to perceived system safety effectiveness? Perceptions of safety climate and co-worker commitment to safety as workplace safety signals, J. Saf. Res., 70, 59, 10.1016/j.jsr.2019.04.002 · DOI
  80. Su, 2020, Multi-agent evolutionary game in the recycling utilization of construction waste, Sci. Total Environ., 738, 10.1016/j.scitotenv.2020.139826 · DOI
  81. Syed-Abdullah, 2020, Extending the concept of pro-environmental action and behaviour: a binary perspective, Environ. Educ. Res., 26, 1764, 10.1080/13504622.2020.1850645 · DOI
  82. Tam, 2019, Adaptive reuse in sustainable development, Int. J. Construct. Manag., 19, 509, 10.1080/15623599.2018.1459154 · DOI
  83. Thiermann, 2020, Motivating individuals for social transition: the 2-pathway model and experiential strategies for pro-environmental behaviour, Ecol. Econ., 174, 10.1016/j.ecolecon.2020.106668 · DOI
  84. Torlak, 2019, Leadership, job satisfaction and performance links in private education institutes of Pakistan, Int. J. Prod. Perform. Manag., 68, 276, 10.1108/IJPPM-05-2018-0182 · DOI
  85. Umer, 2022, Quantifying the effect of mental stress on physical stress for construction tasks, J. Construct. Eng. Manag., 148, 10.1061/(ASCE)CO.1943-7862.0002243 · DOI
  86. Valle, 2005, Combining behavioral theories to predict recycling involvement, Environ. Behav., 37, 364, 10.1177/0013916504272563 · DOI
  87. Venhoeven, 2016, Why acting environmentally-friendly feels good: exploring the role of self-image, Front. Psychol., 7, 1, 10.3389/fpsyg.2016.01846 · DOI
  88. Vilventhan, 2019, Value stream mapping for identification and assessment of material waste in construction: a case study, Waste Manag. Res., 37, 815, 10.1177/0734242X19855429 · DOI
  89. Wang, 2019, Considering life-cycle environmental impacts and society's willingness for optimizing construction and demolition waste management fee: an empirical study of China, J. Clean. Prod., 206, 1004, 10.1016/j.jclepro.2018.09.170 · DOI
  90. Wang, 2020, Project management personnel turnover in public sector construction organizations in China, J. Manag. Eng., 36
  91. Wong, 2020, Critical factors for the use or non-use of personal protective equipment amongst construction workers, Saf. Sci., 126, 10.1016/j.ssci.2020.104663 · DOI
  92. Wu, 2017, Investigating the determinants of contractor's construction and demolition waste management behavior in Mainland China, Waste Manag., 60, 290, 10.1016/j.wasman.2016.09.001 · DOI
  93. Wu, 2019, Driving factors for construction waste minimization: empirical studies in Hong Kong and Shenzhen, J. Green Build., 14, 155, 10.3992/1943-4618.14.4.155 · DOI
  94. Wu, 2022, An integrated trading platform for construction and demolition waste recovery in a circular economy, Sustain. Chem. Pharm., 25
  95. Xing, 2021, Implementing lean construction techniques and management methods in Chinese projects: a case study in Suzhou, China, J. Clean. Prod., 286, 10.1016/j.jclepro.2020.124944 · DOI
  96. Yang, 2020, A model for investigating construction workers' waste reduction behaviors, J. Clean. Prod., 265, 10.1016/j.jclepro.2020.121841 · DOI
  97. Yap, 2021, Revisiting critical delay factors for construction: Analysing projects in Malaysia, Alex. Eng. J., 60, 1717, 10.1016/j.aej.2020.11.021 · DOI
  98. Yoon, 2021, The impact of the risk perception of ocean microplastics on tourists' pro-environmental behavior intention, Sci. Total Environ., 774, 10.1016/j.scitotenv.2020.144782 · DOI
  99. Yu, 2022, In support of circular economy to evaluate the effects of policies of construction and demolition waste management in three key cities in Yangtze River Delta, Sustain. Chem. Pharm., 26
  100. Yu, 2022, Unlocking key factors affecting utilization of biomass briquettes in Africa through SWOT and analytic hierarchy process: a case of Madagascar, Fuel, 323, 10.1016/j.fuel.2022.124298 · DOI
  101. Yuan, 2022, A dissipative structure theory-based investigation of a construction and demolition waste minimization system in China, J. Environ. Plann. Manag., 65, 514, 10.1080/09640568.2021.1889484 · DOI
  102. Yuriev, 2018, Overcoming the barriers to pro-environmental behaviors in the workplace: a systematic review, J. Clean. Prod., 182, 379, 10.1016/j.jclepro.2018.02.041 · DOI
  103. Zhao, 2018, Impacts of cooling intervention on the heat strain attenuation of construction workers, Int. J. Biometeorol., 62, 1625, 10.1007/s00484-018-1562-y · DOI
  104. Zhao, 2022, Challenges toward carbon neutrality in China: strategies and countermeasures, Resour. Conserv. Recycl., 176, 10.1016/j.resconrec.2021.105959 · DOI · Paper page

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Metadata

Authors
Hao, J. L., Yu, S., Tang, X., & Wu, W.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2022-10
Volume
369
Pages
133265
ISSN
0959-6526
DOI
10.1016/j.jclepro.2022.133265
Cited by
63
References
1
Language
en
Licence
Funders
Xi’an Jiaotong-Liverpool University (KSF-E-29)

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