Local protectionism in the Chinese construction industry: a data analysis of construction contractors’ credit scores

DOI: https://doi.org/10.3846/jcem.2026.26673

Abstract

The Chinese government has recently introduced a credit scoring system to gauge the trustworthiness of construction contractors and urged public project owners to consider these scores during the tendering phase. Meanwhile, however, local protectionism, often seen as preferential policies and practices benefiting local firms over outside competitors, is a major concern in the construction industries of developing countries, particularly in China. Little is known about the presence and extent of local protectionism within this credit-scoring process. To find out, this study analyzes the scores of 15,301 construction firms across five cities in China’s Jiangsu Province. The findings reveal two key points: first, all five cities exhibit local protectionism, evidenced by significantly higher credit scores for local firms compared to non-local ones; and second, the size of a company has a significant moderating effect on this bias, with larger firms experiencing wider score disparities favoring local businesses. The study contributes to the knowledge of local protectionism and potential policy changes in the construction sector by providing empirical data analysis on China’s emerging credit evaluation system.

Keywords:

Construction contractors, credit scores, local protectionism, moderating effect

How to Cite

Cao, J., Wang, J., Skitmore, M., & Gao, P. (2026). Local protectionism in the Chinese construction industry: a data analysis of construction contractors’ credit scores. Journal of Civil Engineering and Management, 32(6), 800–817. https://doi.org/10.3846/jcem.2026.26673

Share

Published in Issue
July 29, 2026
Abstract Views
0

References

Acheamfour, V. K., Kissi, E., Adjei-Kumi, T., & Adinyira, E. (2020). Review of empirical arguments on contractor pre-qualification criteria. Journal of Engineering, Design and Technology, 18(1), 70–83. https://doi.org/10.1108/JEDT-03-2019-0067

Ahmed, R. R., Streimikiene, D., Streimikis, J., & Siksnelyte-Butkiene, I. (2024). A comparative analysis of multivariate approaches for data analysis in management sciences. E&M Economics and Management, 27(1), 192–210. https://doi.org/10.15240/tul/001/2024-5-001

Alshihri, S., Al-Gahtani, K., & Almohsen, A. (2022). Risk factors that lead to time and cost overruns of building projects in Saudi Arabia. Buildings, 12(7), Article 902. https://doi.org/10.3390/buildings12070902

Ambraseys, N., & Bilham, R. (2011). Corruption kills. Nature, 469, 153–155. https://doi.org/10.1038/46915

Ameyaw, E. E., Pärn, E., Chan, A. P. C., Owusu-Manu, D. G., Edwards, D. J., & Darko, A. (2017). Corrupt practices in the construction industry: Survey of Ghanaian experience. Journal of Management in Engineering, 33(6), Article 05017006. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000555

Asamoah, R. O., Baiden, B. K., Nani, G., & Kissi, E. (2022). Identifying intangible resources to enhance profitability strategies of small-medium scale construction firms (SMSCFs) in developing countries. International Journal of Construction Management, 22(11), 2207–2214. https://doi.org/10.1080/15623599.2020.1774835

Balogun, O. A., Nazeem, A., & Agumba, J. N. (2016). Determinants predicting credit accessibility within small and medium-sized enterprises in the South African construction industry. Procedia Engineering, 164, 473–480. https://doi.org/10.1016/j.proeng.2016.11.647

Barwick, P. J., Cao, S., & Li, S. (2021). Local protectionism, market structure, and social welfare: China’s automobile market. American Economic Journal: Economic Policy, 13(4), 112–151. https://doi.org/10.1257/pol.20180513

Bauhr, M., Czibik, Á., de Fine Licht, J., & Fazekas, M. (2020). Lights on the shadows of public procurement: Transparency as an antidote to corruption. Governance, 33(3), 495–523. https://doi.org/10.1111/gove.12432

Bowen, P. A., Edwards, P. J., & Cattell, K. (2012). Corruption in the South African construction industry: A thematic analysis of verbatim comments from survey participants. Construction Management and Economics, 30(10), 885–901. https://doi.org/10.1080/01446193.2012.711909

Central Commission for Discipline Inspection. (2021). Survey—Severely punish disciplinary and illegal activities in the field of bidding (in Chinese). https://www.ccdi.gov.cn/yaowen/202104/t20210408_239290.html

Chan, A. P. C., & Owusu, E. K. (2017). Corruption forms in the construction industry: Literature review. Journal of Construction Engineering and Management, 143(8), Article 04017057. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001353

Chan, W. K., & Shi, S. J. (2022). Central coordination, regional competition, and local protectionism: Social decentralisation in China’s long-term care reform. Social Policy & Administration, 56(6), 956–969. https://doi.org/10.1111/spol.12854

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.

China Construction News. (2020). Jiangxi will carry out credit information evaluation for construction enterprises (in Chinese). http://www.chinajsb.cn/html/202009/17/13811.html

China Construction News. (2021a). Zhejiang will focus on supervising construction companies with low credit ratings (in Chinese). http://www.chinajsb.cn/html/202109/06/22854.html

China Construction News. (2021b). Tianjin ranks the credit evaluation of housing and municipal construction enterprises (in Chinese). http://www.chinajsb.cn/html/202109/10/22961.html

China Construction News. (2022). Xi’an issued credit evaluation management measures to regulate the construction market (in Chinese). http://www.chinajsb.cn/html/202208/02/28412.html

Chinese State Council. (2014). Planning outline for the construction of the social credit system (2014–2020) (in Chinese). http://www.gov.cn/gongbao/content/2014/content_2711418.htm

Chorzempa, M., Triolo, P., & Sacks, S. (2018). China’s social credit system: A mark of progress or a threat to privacy? (Policy Brief No. PB18-14). Peterson Institute for International Economics.

Dainty, A., Leiringer, R., Fernie, S., & Harty, C. (2017). BIM and the small construction firm: A critical perspective. Building Research & Information, 45(6), 696–709. https://doi.org/10.1080/09613218.2017.1293940

Dass, N., Nanda, V., & Xiao, S. C. (2016). Public corruption in the United States: Implications for local firms. Review of Corporate Finance Studies, 5(1), 102–138. https://doi.org/10.1093/rcfs/cfv016

Deng, F., Liu, G., & Jin, Z. (2013). Factors formulating the competitiveness of the Chinese construction industry: Empirical investigation. Journal of Management in Engineering, 29(4), 435–445. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000161

El-Sayegh, S. M. (2008). Risk assessment and allocation in the UAE construction industry. International Journal of Project Management, 26(4), 431–438. https://doi.org/10.1016/j.ijproman.2007.07.004

Engelmann, S., Chen, M., Fischer, F., Kao, C. Y., & Grossklags, J. (2019). Clear sanctions, vague rewards: How China’s social credit system currently defines “good” and “bad” behavior. In Proceedings of the Conference on Fairness, Accountability, and Transparency (pp. 69–78). Association for Computing Machinery. https://doi.org/10.1145/3287560.3287585

Fang, D., Li, M., Fong, P. S. W., & Shen, L. (2004). Risks in Chinese construction market—Contractors’ perspective. Journal of Construction Engineering and Management, 130(6), 853–861. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:6(853)

Fianko, S. K., Amoah, N., Jnr, S. A., & Dzogbewu, T. C. (2021). Green supply chain management and environmental performance: The moderating role of firm size. International Journal of Industrial Engineering and Management, 12, 163–173. https://doi.org/10.24867/IJIEM-2021-3-285

Fuchs, A., & Gehring, K. (2017). The home bias in sovereign ratings. Journal of the European Economic Association, 15(6), 1386–1423. https://doi.org/10.1093/jeea/jvx009

Furci, J., & Sunindijo, R. Y. (2020). Impacts of the WHS Act 2011 on safety management in small and medium construction companies. International Journal of Construction Management, 20(3), 196–206. https://doi.org/10.1080/15623599.2018.1484844

Gamidullaeva, L. A., Vasin, S. M., & Wise, N. (2020). Increasing small- and medium-enterprise contribution to local and regional economic growth by assessing the institutional environment. Journal of Small Business and Enterprise Development, 27(2), 259–280. https://doi.org/10.1108/JSBED-07-2019-0219

Govender, N., Laryea, S., & Watermeyer, R. (2025). Implications of competitive tendering on consulting engineering services in South Africa: A thematic analysis. Journal of Financial Management of Property and Construction, 30(1), 1–21. https://doi.org/10.1108/JFMPC-06-2022-0029

Grotenhuis, M. T., & Thijs, P. (2015). Dummy variables and their interactions in regression analysis: Examples from research on body mass index. arXiv. https://doi.org/10.48550/arXiv.1511.05728

Gunardi, A., Firmansyah, E. A., Widyaningsih, I. U., & Rossi, M. (2020). Capital structure determinants of construction firms: Does firm size moderate the results?. Montenegrin Journal of Economics, 16(2), 93–100. https://doi.org/10.14254/1800-5845/2020.16-2.7

Han, L., & Kung, J. K. S. (2015). Fiscal incentives and policy choices of local governments: Evidence from China. Journal of Development Economics, 116, 89–104. https://doi.org/10.1016/j.jdeveco.2015.04.003

Hartono, B., Sulistyo, S. R., Chai, K. H., & Indarti, N. (2019). Knowledge management maturity and performance in a project environment: Moderating roles of firm size and project complexity. Journal of Management in Engineering, 35(6), Article 04019023. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000705

Huang, W. H., Tserng, H. P., Jaselskis, E. J., & Lee, S. Y. (2014). Dynamic threshold cash flow–based structural model for contractor financial prequalification. Journal of Construction Engineering and Management, 140(10), Article 04014047. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000902

Jiang, M. (2020). A brief prehistory of China’s social credit system. Communication and the Public, 5(3–4), 93–98. https://doi.org/10.1177/2057047320959856

Jiangsu Provincial Department of Housing and Urban-Rural Development. (2018). Notice on launching the pilot disclosure of contractor credit score–bid-winning result linkage in public-resource trading centers of five cities. http://www.wj.gov.cn/uploadfile/czwj/old/upload/201802/24/201802240855X328351.pdf

Jin, H., Qian, Y., & Weingast, B. R. (2005). Regional decentralization and fiscal incentives: Federalism, Chinese style. Journal of Public Economics, 89(9–10), 1719–1742. https://doi.org/10.1016/j.jpubeco.2004.11.008

Kallberg, J. G., & Udell, G. F. (2003). The value of private sector business credit information sharing: The US case. Journal of Banking & Finance, 27(3), 449–469. https://doi.org/10.1016/S0378-4266(02)00387-4

Ketels, C., & Protsiv, S. (2021). Cluster presence and economic performance: A new look based on European data. Regional Studies, 55(2), 208–220. https://doi.org/10.1080/00343404.2020.1792435

Klingwort, J., & Burger, J. (2023). A framework for population inference: Combining machine learning, network analysis, and non-probability road sensor data. Computers, Environment and Urban Systems, 103, Article 101976. https://doi.org/10.1016/j.compenvurbsys.2023.101976

Klusak, P., Uymaz, Y., & Alsakka, R. (2024). Politicians’ connections and sovereign credit ratings. Journal of International Financial Markets, Institutions and Money, 94, Article 102022. https://doi.org/10.1016/j.intfin.2024.102022

Kong, D., Tiong, R. L., Cheah, C. Y., Permana, A., & Ehrlich, M. (2008). Assessment of credit risk in project finance. Journal of Construction Engineering and Management, 134(11), 876–884. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:11(876)

Lei, Z. (2023). The political resource blessing or curse? Patronage networks, infrastructure investment, and economic development in China. Comparative Political Studies, 56(8), 1156–1188. https://doi.org/10.1177/00104140221139389

Liu, G., & Zhu, Y. (2006). Credit assessment of contractors: A rough set method. Tsinghua Science & Technology, 11(3), 357–362. https://doi.org/10.1016/S1007-0214(06)70200-0

Liang, F., Das, V., Kostyuk, N., & Hussain, M. M. (2018). Constructing a data-driven society: China’s social credit system as a state surveillance infrastructure. Policy & Internet, 10(4), 415–453. https://doi.org/10.1002/poi3.183

Liu, B., Wang, X., Chen, Y., & Shen, Y. (2013). Market structure of China’s construction industry based on the Panzar–Rosse model. Construction Management and Economics, 31(7), 731–745. https://doi.org/10.1080/01446193.2013.817679

Liu, E., Lu, Y., Peng, W., & Wang, S. (2022a). Judicial independence, local protectionism, and economic integration: Evidence from China (Working Paper No. 30432). National Bureau of Economic Research. https://doi.org/10.3386/w30432

Liu, J., Liu, S., Li, J., & Li, J. (2022b). Financial credit risk assessment of online supply chain in construction industry with a hybrid model chain. International Journal of Intelligent Systems, 37(11), 8790–8813. https://doi.org/10.1002/int.22968

Liu, Y., Zhang, Y., Fang, H., & Chen, X. (2022c). SMEs’ line of credit under COVID-19: Evidence from China. Small Business Economics, 58(2), 807–828. https://doi.org/10.1007/s11187-021-00474-9

Long, J. S., & Ervin, L. H. (2000). Using heteroscedasticity-consistent standard errors in the linear regression model. The American Statistician, 54(4), 217–224. https://doi.org/10.1080/00031305.2000.10474549

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), Article 3441. https://doi.org/10.3390/su11123441

Lu, S., & Wang, H. (2023). How political connections exploit loopholes in procurement institutions for government contracts: Evidence from China. Governance, 36(4), 1205–1224. https://doi.org/10.1111/gove.12735

Ministry of Industry and Information Technology. (2011). Notice on distributing the provisions on the classification standards for small and medium-sized enterprises (in Chinese). https://www.miit.gov.cn/cms_files/filemanager/oldfile/miit/n1146285/n1146352/n3054355/n3057278/n3057286/c3592332/part/3592333.pdf

Ministry of Industry and Information Technology. (2021). Notice on publicly soliciting opinions on the provisions on the classification standards for small and medium-sized enterprises (in Chinese). https://www.miit.gov.cn/jgsj/qyj/gzdt/art/2021/art_9087ea816daf4f7192ac845d1380cfd7.html

Ministry of Housing and Urban-Rural Development of China. (2017). Notice on issuing the interim measures for credit management in the construction market (in Chinese). https://www.mohurd.gov.cn/gongkai/zc/wjk/art/2017/art_17339_234394.html

Monteiro, B. K., Masiero, G., & Souza, F. D. (2022). Corruption in the construction industry: A review of recent literature. International Journal of Construction Management, 22(14), 2744–2752. https://doi.org/10.1080/15623599.2020.1823588

Nanjing Urban and Rural Construction Committee. (2022). Notice on the credit evaluation of construction enterprises in Nanjing’s construction industry in 2022H1 (in Chinese). https://njggzy.nanjing.gov.cn/njweb/uploadfile/b2ff9856-9229-486d-9b0b-f8e5541677b0/%E5%85%B3%E4%BA%8E%E5%90%AF%E7%94%A82022%E5%B9%B4%E4%B8%8A%E5%8D%8A%E5%B9%B4%E5%BB%BA%E7%AD%91%E4%B8%9A%E6%96%BD%E5%B7%A5%E3%80%81%E7%9B%91%E7%90%86%E4%BC%81%E4%B8%9A%E4%BF%A1%E7%94%A8%E8%AF%84%E4%BB%B7%E7%BB%93%E6%9E%9C%E7%9A%84%E9%80%9A%E7%9F%A5.pdf

Park, S., & Mun, S. (2024). Effects of seated postural sway on visually induced motion sickness: A multiple regression and RUSBoost classification approach. International Journal of Human–Computer Interaction, 40(7), 1782–1793. https://doi.org/10.1080/10447318.2023.2200638

Peprah, J. A., Mensah, A. O., & Akosah, N. B. (2016). Small and medium-sized enterprises (SMEs) accessibility to public procurement: SMEs entity perspective in Ghana. European Journal of Business and Social Sciences, 4(11), 25–40.

Poncet, S. (2005). A fragmented China: Measure and determinants of Chinese domestic market disintegration. Review of International Economics, 13(3), 409–430. https://doi.org/10.1111/j.1467-9396.2005.00514.x

Remenyi, D., Onofrei, G., & English, J. (2022). An introduction to statistics using Microsoft Excel. UJ Press. https://doi.org/10.36615/9781776413454

Rostami, A., Sommerville, J., Wong, L., & Lee, C. (2015). Risk management implementation in small and medium enterprises in the UK construction industry. Engineering, Construction and Architectural Management, 22(1), 91–107. https://doi.org/10.1108/ECAM-04-2014-0057

Schwarz, A., & Arminger, G. (2005). Credit scoring using global and local statistical models. In C. Weihs, & W. Gaul (Eds.), Classification—the ubiquitous challenge (pp. 442–449). Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28084-7_51

Shen, L. Y., Wu, G. W., & Ng, C. S. (2001). Risk assessment for construction joint ventures in China. Journal of Construction Engineering and Management, 127(1), 76–81. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:1(76)

Suzhou Housing and Urban-Rural Development Bureau. (2020). Comprehensive credit evaluation standards for construction enterprises in Suzhou (in Chinese). https://credit.suzhou.gov.cn/attaches/20200721/665d9248d20c60479d602ca3de4c562b.doc

Song, Z., & Wang, Y. (2020). Construction industry credit dynamic monitoring and credit repair. In Proceedings of the International Conference on Construction and Real Estate Management 2020. American Society of Civil Engineers. https://doi.org/10.1061/9780784483237.001

Sun, Z., Liu, L. H., & Sun, Y. Z. (2014). The degree of marketization, local protectionism and the spillover effect of R&D—Evidence from Chinese industry. Management World, 8, 78–89 (in Chinese).

Tezel, A., Koskela, L., & Aziz, Z. (2018). Current condition and future directions for lean construction in highway projects: A small and medium-sized enterprises (SMEs) perspective. International Journal of Project Management, 36(2), 267–286. https://doi.org/10.1016/j.ijproman.2017.10.004

Taizhou Housing and Urban-Rural Development Bureau. (2020). Notice on the issuance of detailed implementation rules for the comprehensive credit evaluation of construction enterprises in Taizhou (4th ed.) (in Chinese). https://credit.suzhou.gov.cn/attaches/20200721/665d9248d20c60479d602ca3de4c562b.doc

Tserng, H. P., Liao, H. H., Tsai, L. K., & Chen, P. C. (2011). Predicting construction contractor default with option-based credit models: Models’ performance and comparison with financial ratio models. Journal of Construction Engineering and Management, 137(6), 412–420. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000311

Wang, G., Xia, C., & Cao, D. (2020a). State and determinants of inter-regional market entry practices in the Chinese construction industry: Evidence from national quality award projects. Engineering, Construction and Architectural Management, 27(7), 1461–1477. https://doi.org/10.1108/ECAM-06-2019-0336

Wang, X., Shi, L., Wang, B., & Kan, M. (2020b). A method to evaluate credit risk for banks under PPP project finance. Engineering, Construction and Architectural Management, 27(2), 483–501. https://doi.org/10.1108/ECAM-06-2018-0247

Wang, J., Li, X., Memari, A., Skitmore, M., Zhong, Y., and Ashuri, B. 2023. Data-driven assessment on the corporate credit scoring mechanism for Chinese construction supervision companies. Construction Management and Economics, 41(11–12), 961–975. https://doi.org/10.1080/01446193.2023.2220832

Wang, J., Li, M., Moorhead, M., & Skitmore, M. (2024a). Forecasting financial distress in listed Chinese construction firms: Leveraging ensemble learning and non-financial variables. Construction Management and Economics, 43(3), 175–195. https://doi.org/10.1080/01446193.2024.2403553

Wang, J., Li, M., Skitmore, M., & Chen, J. (2024b). Predicting construction company insolvent failure: A scientometric analysis and qualitative review of research trends. Sustainability, 16(6), Article 2290. https://doi.org/10.3390/su16062290

Wang, J., Li, X., Memari, A., Skitmore, M., Zhong, Y., Ashuri, B., Chen, J., & Cao, J. (2024c). Assessing the implementation and effectiveness of China’s social credit system of the construction industry: A case study of Nanjing. International Journal of Construction Management, 25(7), 850–859. https://doi.org/10.1080/15623599.2024.2369391

Wei, T., Wang, Y., & Wu, J. (2025). Local favoritism in China’s public procurement: Information frictions or incentive distortion?. Journal of Urban Economics, 145, Article 103716. https://doi.org/10.1016/j.jue.2024.103716

White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. https://doi.org/10.2307/1912934

Windapo, A. O., Olugboyega, O., & Odediran, S. (2020). Impacts of procurement strategies on construction SMEs’ growth. Journal of Financial Management of Property and Construction, 25(3), 423–446. https://doi.org/10.1108/JFMPC-05-2019-0045

Wood, L. C., Asef, A., Alashwal, A. M., Wang, C., & Abdul-Rahman, H. (2018). Moderating role of organisational learning and firm size on risk management maturity in construction firms. South African Journal of Business Management, 49(1), 68–76. https://doi.org/10.4102/sajbm.v49i1.320

World Bank Group. (2021). Doing business in China 2020: Comparative regional analysis—Selected cities. World Bank Publications. https://documents1.worldbank.org/curated/en/688761571934946384/pdf/Doing-Business-2020-Comparing-Business-Regulation-in-190-Economies.pdf

Xiong, B., Lu, W., Skitmore, M., Chau, K. W., & Ye, M. (2016). Virtuous nexus between corporate social performance and financial performance: A study of construction enterprises in China. Journal of Cleaner Production, 129, 223–233. https://doi.org/10.1016/j.jclepro.2016.04.078

Xiong, B., Skitmore, M., Xia, P., Ballesteros-Pérez, P., Ye, K., & Zhang, X. (2019). Impact of corporate credit scoring on construction contractors in China. Journal of Construction Engineering and Management, 145(4), Article 05019002. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001631

Yap, J. B. H., & Lock, A. (2017). Analysing the benefits, techniques, tools and challenges of knowledge management practices in Malaysian construction SMEs. Journal of Engineering, Design and Technology, 15(6), 803–825. https://doi.org/10.1108/JEDT-07-2017-0067

Yangzhou Housing and Urban-Rural Development Bureau. (2015). Contents and standards for credit evaluation of various entities and practitioners in Yangzhou’s construction market (in Chinese). https://cxyz.yangzhou.gov.cn/316/639.html

Young, A. (2000). The razor’s edge: Distortions and incremental reform in the People’s Republic of China. Quarterly Journal of Economics, 115(4), 1091–1135. https://doi.org/10.1162/003355300555024

Zhang, X. (2011). Social risks for international players in the construction market: A China study. Habitat International, 35(3), 514–519. https://doi.org/10.1016/j.habitatint.2011.02.005

Zhang, B., Le, Y., Xia, B., & Skitmore, M. (2016). Causes of business-to-government corruption in the tendering process in China. Journal of Management in Engineering, 33(2), Article 05016022. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000479

Zhou, Q., Bao, Y., Zhao, Y., He, X., Cui, C., & Liu, Y. (2022). Impacts of government credit on government performance of public-private partnership projects in China: A WSR system theory perspective. Sustainability, 14(11), Article 6886. https://doi.org/10.3390/su14116886

Zhenjiang Housing and Urban-Rural Development Bureau. (2020). Notice on the issuance of detailed implementation rules for credit management of construction enterprises in Zhenjiang (7th ed.) (in Chinese). http://www.zjna.gov.cn/zjna/jgbm/202003/4fbebd567ebb423babf2130919fe9c43.shtml

View article in other formats

CrossMark check

CrossMark logo

Published

2026-07-29

Issue

Section

Articles

How to Cite

Cao, J., Wang, J., Skitmore, M., & Gao, P. (2026). Local protectionism in the Chinese construction industry: a data analysis of construction contractors’ credit scores. Journal of Civil Engineering and Management, 32(6), 800–817. https://doi.org/10.3846/jcem.2026.26673

Share