Assessing the Institutional- and Project-Level Determinants of Corruption in Infrastructure Projects: Evidence from World Bank–Funded Projects

Author:

Cui Zhipeng1,Wang Dan2ORCID,Casady Carter B.3,Yin Hang4,Dong Anglong5

Affiliation:

1. Lecturer, School of Urban Economics and Management, Beijing Univ. of Civil Engineering and Architecture, No. 1, Zhanlanguan St., Xicheng District, Beijing 100044, P.R. China.

2. Assistant Professor, School of Public Policy and Administration, Chongqing Univ., No. 174, Shazheng St., Shapingba District, Chongqing 400044, P.R. China (corresponding author). ORCID: .

3. Research Engineer, Center for Sustainable Development and Global Competitiveness, Stanford Univ., 473 Via Ortega, Stanford, CA 94305.

4. Director’s Assistant, Tong Yan Digital Intelligence Technology (Chongqing) Co., No. 76, Lixing St., Yubei District, Chongqing 400044, P.R. China.

5. M.Sc. Candidate, School of Engineering and Applied Science, Univ. of Pennsylvania, 220 S 33rd St., Philadelphia, PA 19104.

Publisher

American Society of Civil Engineers (ASCE)

Reference86 articles.

1. Exploring anti-corruption capabilities of e-procurement in construction project delivery in Nigeria;Aduwo E.;Constr. Econ. Build.,2020

2. An institutional perspective on corruption in transition economies;Alon A.;Corporate Governance: Int. Rev.,2017

3. Corrupt Practices in the Construction Industry: Survey of Ghanaian Experience

4. Cost overruns of public sector construction projects: a developing country perspective

5. Bliese, P. D. 2002. “Multilevel random coefficient modeling in organizational research: Examples using SAS and S-PLUS.” In Measuring and analyzing behavior in organizations, edited by F. Drasgow and N. Schmitt, 401–445. San Francisco: Jossey-Bass.

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