Assessing the implementation and effectiveness of China’s social credit system of the construction industry: a case study of Nanjing

References

• Afolabi A, Ibem E, Aduwo E, Tunji-Olayeni P. 2022. Digitizing the grey areas in the Nigerian public procurement system using e-Procurement technologies. Intern J Construct Manage. 22(12):2215–2224. doi: 10.1080/15623599.2020.1774836.
   Web of Science ®Google Scholar
• Alsamarraie MM, Ghazali F. 2023. Evaluation of organizational procurement performance for public construction projects: systematic review. Intern J Construct Manage. 23(14):2499–2508. doi: 10.1080/15623599.2022.2070447.
   Web of Science ®Google Scholar
• Asamoah RO, Baiden BK, Nani G, Kissi E. 2022. Identifying intangible resources to enhance profitability strategies of Small-Medium Scale Construction Firms (SMSCFs) in developing countries. Intern J Construct Manage. 22(11):2207–2214. doi: 10.1080/15623599.2020.1774835.
   Web of Science ®Google Scholar
• Bhagat G, Jha KN. 2023. Stage-wise evaluation of integrity risks in public works procurement in India. Intern J Construct Manage. 23(16):2818–2829. doi: 10.1080/15623599.2022.2100623.
   Web of Science ®Google Scholar
• Bowen PA, Edwards PJ, Cattell K. 2012. Corruption in the South African construction industry: a thematic analysis of verbatim comments from survey participants. Construct Manage Eco. 30(10):885–901. doi: 10.1080/01446193.2012.711909.
   Google Scholar
• Central Commission for Disciplined Inspection. 2021. Survey – Severely punish disciplinary and illegal activities in the field of bidding [in Chinese] [accessed April 2022]. https://www.ccdi.gov.cn/yaowen/202104/t20210408_239290.html.
   Google Scholar
• Chen Y, Cheung AS. 2017. The transparent self under big data profiling: privacy and Chinese legislation on the social credit system. J Comp L. 12:356.
   Google Scholar
• Chen J, Wang D. 2021. Government credit risk assessment of non-profit public-private partnership projects in China based on the IVHFSs-IFAHP model. Scientia Iranica. 28(1):38–48.
   Web of Science ®Google Scholar
• China Construction News. 2020. Jiangxi will carry out credit information evaluation for construction enterprises [in Chinese] [accessed May 2022] http://www.chinajsb.cn/html/202009/17/13811.html.
   Google Scholar
• China Construction News. 2021a. Zhejiang will focus on supervising construction companies with low credit ratings [in Chinese] [accessed May 2022] http://www.chinajsb.cn/html/202109/06/22854.html.
   Google Scholar
• China Construction News. 2021b. Tianjin ranks the credit evaluation of building and municipal construction enterprises [in Chinese] [accessed August 2022] http://www.chinajsb.cn/html/202109/10/22961.html.
   Google Scholar
• China Construction News. 2022. Xi’an issued credit evaluation management measures to regulate the construction market [in Chinese] [accessed August 2022, http://www.chinajsb.cn/html/202208/02/28412.html.
   Google Scholar
• Chinese State Council. 2014. Planning outline for the construction of the social credit system (2014–2020) [in Chinese] [accessed April 2022]. http://www.gov.cn/gongbao/content/2014/content_2711418.htm. Translated by Rogier Creemers, China Copyright and Media, 2014 [accessed April 25, 2022]. https://chinacopyrightandmedia.wordpress.com/2014/06/14/planning-outline-for-the-construction-of-a-social-credit-system-2014-2020/.
   Google Scholar
• Chorzempa M, Triolo P, Sacks S. 2018. China’s social credit system: a mark of progress or a threat to privacy? (No. PB18-14).
   Google Scholar
• Conover WJ. 1999. Practical nonparametric statistics. Vol. 350. New York: John Wiley & Sons.
   Google Scholar
• Dai X. 2018. Toward a reputation state: the social credit system project of China. Available at SSRN 3193577.
   Google Scholar
• Dainty A, Leiringer R, Fernie S, Harty C. 2017. BIM and the small construction firm: a critical perspective. Build Res Inform. 45(6):696–709. doi: 10.1080/09613218.2017.1293940.
   Web of Science ®Google Scholar
• De Jong M, Henry WP, Stansbury N. 2009. Eliminating corruption in our engineering/construction industry. Leadership Manage Eng. 9(3):105–111. doi: 10.1061/(ASCE)1532-6748(2009)9:3(105).
   Google Scholar
• Deng F, Liu G, Jin Z. 2013. Factors formulating the competitiveness of the Chinese construction industry: empirical investigation. J Manage Eng. 29(4):435–445. doi: 10.1061/(ASCE)ME.1943-5479.0000161.
   Web of Science ®Google Scholar
• Ding X, Zhong DY. 2021. Rethinking China’s social credit system: a long road to establishing trust in Chinese society. J Contemporary China. 30(130):630–644. doi: 10.1080/10670564.2020.1852738.
   Web of Science ®Google Scholar
• Engelmann S, Chen M, Dang L, Grossklags J. 2021. Blacklists and redlists in the Chinese social credit system: diversity, flexibility, and comprehensiveness. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (p. 78–88.
   Google Scholar
• Flynn A. 2018. Investigating the implementation of SME-friendly policy in public procurement. Policy Stud. 39(4):422–443. doi: 10.1080/01442872.2018.1478406.
   Web of Science ®Google Scholar
• Furci J, Sunindijo RY. 2020. Impacts of the WHS Act 2011 on safety management in small and medium construction companies. Intern J Construct Manage. 20(3):196–206. doi: 10.1080/15623599.2018.1484844.
   Web of Science ®Google Scholar
• Hatush Z, Skitmore M. 1997. Criteria for contractor selection. Construct Manage Eco. 15(1):19–38. doi: 10.1080/014461997373088.
   Google Scholar
• Hatush Z, Skitmore M. 1998. Contractor selection using multicriteria utility theory: an additive model. Build Environ. 33(2-3):105–115. doi: 10.1016/S0360-1323(97)00016-4.
   Web of Science ®Google Scholar
• Huang WH, Tserng HP, Jaselskis EJ, Lee SY. 2014. Dynamic threshold cash flow–based structural model for contractor financial prequalification. J Constr Eng Manage. 140(10):04014047. doi: 10.1061/(ASCE)CO.1943-7862.0000902.
   Web of Science ®Google Scholar
• Hussain M, Mahmud I. 2019. pyMannKendall: a python package for non parametric Mann Kendall family of trend tests. JOSS. 4(39):1556. doi: 10.21105/joss.01556.
   Google Scholar
• Jiang M. 2020. A brief prehistory of China’s social credit system. Comm Public. 5(3-4):93–98. doi: 10.1177/2057047320959856.
   Google Scholar
• Kendall MG. 1948. Rank correlation methods.
   Google Scholar
• Kostka G. 2019. China’s social credit systems and public opinion: explaining high levels of approval. New Media Society. 21(7):1565–1593. doi: 10.1177/1461444819826402.
   Web of Science ®Google Scholar
• Lee CS. 2019. Datafication, dataveillance, and the social credit system as China’s new normal. OIR. 43(6):952–970. doi: 10.1108/OIR-08-2018-0231.
   Google Scholar
• Liang F, Das V, Kostyuk N, Hussain MM. 2018. Constructing a data‐driven society: china’s social credit system as a state surveillance infrastructure. Policy Internet. 10(4):415–453. doi: 10.1002/poi3.183.
   Web of Science ®Google Scholar
• Liu G, Zhu Y. 2006. Credit assessment of contractors: a rough set method. Tinshhua Sci Technol. 11(3):357–362. doi: 10.1016/S1007-0214(06)70200-0.
   Google Scholar
• Lu H, Pishdad-Bozorgi P, Wang G, Xue Y, Tan D. 2019. ICT implementation of small-and medium-sized construction enterprises: organizational characteristics, driving forces, and value perceptions. Sustainability. 11(12):3441. doi: 10.3390/su11123441.
   Web of Science ®Google Scholar
• Mac Síthigh D, Siems M. 2019. The Chinese social credit system: a model for other countries? Modern Law Rev. 82(6):1034–1071. doi: 10.1111/1468-2230.12462.
   Web of Science ®Google Scholar
• Mann HB. 1945. Nonparametric tests against trend. Econometrica J Econ Society. 13(3):245–259. doi: 10.2307/1907187.
   Web of Science ®Google Scholar
• Mann HB, Whitney DR. 1947. On a test of whether one of two random variables is stochastically larger than the other. Ann Math Statist. 18(1):50–60. doi: 10.1214/aoms/1177730491.
   Google Scholar
• MOHURD. 2017a. MOHURD’s notice on issuing the interim measures for credit management in the construction market [in Chinese]. [accessed April 2022]. https://www.mohurd.gov.cn/gongkai/fdzdgknr/tzgg/201712/20171215_234394.html.
   Google Scholar
• MOHURD. 2017b. General office of MOHURD’s notice on cancelling the qualification approval of property management enterprises [in Chinese] [accessed April 2022]. https://www.mohurd.gov.cn/gongkai/fdzdgknr/tzgg/201712/20171221_234469.html.
   Google Scholar
• MOHURD. 2017c. General office of MOHURD’s notice on cancelling the administrative license for the qualification approval of urban landscaping enterprises [in Chinese] [accessed April 2022] https://www.mohurd.gov.cn/gongkai/fdzdgknr/tzgg/201704/20170414_231511.html.
   Google Scholar
• MOHURD. 2021. General office of MOHURD’s notice on cancelling the qualification approval of project cost consulting enterprises and strengthening supervision during and after the event [in Chinese] [accessed April 2022]. https://www.mohurd.gov.cn/gongkai/fdzdgknr/tzgg/202106/20210629_250618.html.
   Google Scholar
• NDRC (National Development and Reform Commission). 2023. General office of NDRC’s notice on standardizing the application of credit evaluation in the field of bidding and tendering [in Chinese] [accessed January 2024]. https://www.gov.cn/zhengce/zhengceku/202311/content_6914502.htm.
   Google Scholar
• NURCC (Nanjing Urban and Rural Construction Committee). 2016. Measures for administrating the directory of contractors for emergency projects invested by the Nanjing government [in Chinese] [accessed May 2022]. http://sjw.nanjing.gov.cn/zwfw/jsfw/gcztb/201610/t20161031_446502.html.
   Google Scholar
• NURCC (Nanjing Urban and Rural Construction Committee). 2021a. Announcement of the 2021h1 credit evaluation results of construction companies in Nanjing [in Chinese] [accessed February 2022]. http://sjw.nanjing.gov.cn/tzgg/202109/t20210903_3121857.html.
   Google Scholar
• NURCC (Nanjing Urban and Rural Construction Committee). 2021b. NURCC’s opinions on the reform of biddings for building construction and municipal infrastructure projects in Nanjing [in Chinese] [accessed February 2022]. http://sjw.nanjing.gov.cn/njscxjswyh/202104/t20210416_2886751.html.
   Google Scholar
• NURCC (Nanjing Urban and Rural Construction Committee). 2022. Notice on the credit evaluation of construction enterprises in Nanjing’s construction industry in 2022H1 [in Chinese]. [accessed August 2022]. http://sjw.nanjing.gov.cn/tzgg/202207/P020220714641497097653.pdf.
   Google Scholar
• Oyewobi LO, Ganiyu BO, Oke AA, Ola-Awo WA, Shittu AA. 2011. Determinants of unethical performance in Nigerian construction industry. JSD. 4(4) http://repository.futminna.edu.ng:8080/jspui/handle/123456789/212. doi: 10.5539/jsd.v4n4p175.
   Google Scholar
• Ray RS, Hornibrook J, Skitmore M, Zarkada-Fraser A. 1999. Ethics in tendering: a survey of Australian opinion and practice. Construct Manage Econ. 17(2):139–153. doi: 10.1080/014461999371646.
   Google Scholar
• Razali NM, Wah YB. 2011. Power comparisons of shapiro-wilk, kolmogorov-smirnov, lilliefors and anderson-darling tests. J Statis Modeling Anal. 2(1):21–33.
   Google Scholar
• Rostami A, Sommerville J, Wong IL, Lee C. 2015. Risk management implementation in small and medium enterprises in the UK construction industry. Engng Construct Architect Manage. 22(1):91–107. doi: 10.1108/ECAM-04-2014-0057.
   Web of Science ®Google Scholar
• SAMR (State Administration for Market Regulation). 2021. Measures of supervising and managing the list of serious illegal and untrustworthy entities [In Chinese] [accessed April 2022]. http://www.gov.cn/zhengce/zhengceku/2021-08/04/content_5629301.htm.
   Google Scholar
• Shan M, Chan AP, Le Y, Hu Y, Xia B. 2017. Understanding collusive practices in Chinese construction projects. J Prof Issue Eng Educ Pract. 143(3):05016012. doi: 10.1061/(ASCE)EI.1943-5541.0000314.
   Web of Science ®Google Scholar
• Shapiro SS, Wilk MB. 1965. An analysis of variance test for normality (complete samples). Biometrika. 52(3-4):591–611. doi: 10.1093/biomet/52.3-4.591.
   Web of Science ®Google Scholar
• Shen LY, Li QM, Drew D, Shen QP. 2004. Awarding construction contracts on multicriteria basis in China. J Constr Eng Manage. 130(3):385–393. doi: 10.1061/(ASCE)0733-9364(2004)130:3(385).
   Web of Science ®Google Scholar
• Shen L, Song W. 1998. Competitive tendering practice in Chinese construction. J Constr Eng Manage. 124(2):155–161. doi: 10.1061/(ASCE)0733-9364(1998)124:2(155).
   Web of Science ®Google Scholar
• Strutz T. 2011. Data fitting and uncertainty: a practical introduction to weighted least squares and beyond. Wiesbaden, Germany: vieweg + Teubner.
   Google Scholar
• Tezel A, Koskela L, Aziz Z. 2018. Current condition and future directions for lean construction in highways projects: a small and medium-sized enterprises (SMEs) perspective. Int J Project Manage. 36(2):267–286. doi: 10.1016/j.ijproman.2017.10.004.
   Web of Science ®Google Scholar
• Tserng HP, Liao HH, Tsai LK, Chen PC. 2011. Predicting construction contractor default with option-based credit models—Models’ performance and comparison with financial ratio models. J Constr Eng Manage. 137(6):412–420. doi: 10.1061/(ASCE)CO.1943-7862.0000311.
   Web of Science ®Google Scholar
• VanderWeele TJ. 2019. Principles of confounder selection. Eur J Epidemiol. 34(3):211–219. doi: 10.1007/s10654-019-00494-6.
   PubMed Web of Science ®Google Scholar
• Wang J, Li X, Memari A, Skitmore M, Zhong Y, Ashuri B. 2023. Data-driven assessment on the corporate credit scoring mechanism for Chinese construction supervision companies. Construct Manage Eco. 41(11-12):961–975. doi: 10.1080/01446193.2023.2220832.
   Web of Science ®Google Scholar
• Wilcoxon F. 1992. Individual comparisons by ranking methods. In Breakthroughs in Statistics (p. 196–202. Springer, New York, NY.
   Google Scholar
• Wood G, McDermott P, Swan W. 2002. The ethical benefits of trust‐based partnering: the example of the construction industry. Business Ethic Europe Rev. 11(1):4–13. doi: 10.1111/1467-8608.00254.
   Google Scholar
• Xiong B, Lu W, Skitmore M, Chau KW, Ye M. 2016. Virtuous nexus between corporate social performance and financial performance: a study of construction enterprises in China. J Cleaner Prod. 129:223–233. doi: 10.1016/j.jclepro.2016.04.078.
   Web of Science ®Google Scholar
• Xiong B, Skitmore M, Xia P, Ballesteros-Pérez P, Ye K, Zhang X. 2019. Impact of corporate credit scoring on construction contractors in China. J Constr Eng Manage. 145(4):05019002. doi: 10.1061/(ASCE)CO.1943-7862.0001631.
   Web of Science ®Google Scholar
• Yap JBH, Lock A. 2017. Analysing the benefits, techniques, tools and challenges of knowledge management practices in the Malaysian construction SMEs. JEDT. 15(6):803–825. doi: 10.1108/JEDT-07-2017-0067.
   Google Scholar
• Ye K, Jiang W, Shen L. 2008. Project competition intensity (PCI) in the construction market: a case study in China. Construct Manage Eco. 26(5):463–470. doi: 10.1080/01446190802036136.
   Google Scholar
• Ye K, Li B, Shen L. 2013. Key factors considered in compiling tender prices for China’s public works projects. J Manage Eng. 29(3):206–215. doi: 10.1061/(ASCE)ME.1943-5479.0000153.
   Web of Science ®Google Scholar
• Zhou Q, Bao Y, Zhao Y, He X, Cui C, Liu Y. 2022. Impacts of Government Credit on Government Performance of Public-Private Partnership Project in China: A WSR System Theory Perspective. Sustainability. 14(11):6886. doi: 10.3390/su14116886.
   Web of Science ®Google Scholar
• Zhou Y, Liu J. 2021. Influence of government credit risk on PPP projects in operation stage. Intern J Strat Property Manage. 25(3):216–227. doi: 10.3846/ijspm.2021.14552.
   Web of Science ®Google Scholar