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Corruption, market structure, and industry competition in the Vietnamese construction sector

journal contribution
posted on 2024-11-03, 10:23 authored by Trinh NguyenTrinh Nguyen, Tra PhamTra Pham, Van HaVan Ha, Duy Nguyen
The Vietnamese construction sector is arguably the country’s industry most vulnerable to cor-ruption, leading to poor functioning of the sector. This analysis empirically investigates how cor-ruption affects competition in the construction industry, and how different market structures shape different types of corruption and its potentially different impacts. Our empirical models for industry competition are estimated on a panel of 33,045 year-observations using the Fractional Binomial Logit model. The findings demonstrate that corruption reduces competition, and that the effects of corruption depend on the type of corruption and market structure in which firms operate. We find evidence that corruption is characterized by collusion between local authorities and dominant firms in highly concentrated markets, leading to the persistent concentration of the sector in highly corrupt areas. In areas with lower corruption, corruption is characterized by bureaucratic holdups while lowered corruption increases industry competition. Petty corruption is observed in less corrupt areas while it does not affect industry competition. The finding suggests that promoting transparency in public procurement regulatory processes enhances industry competition and mitigates corruption risks associated with different market structures. Additionally, implementing reforms to ensure equitable access to reliable public reporting and services can facilitate a more concentrated yet efficient industry structure.

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Related Materials

  1. 1.
    DOI - Is published in 10.1080/01446193.2023.2236249
  2. 2.
    ISSN - Is published in 01446193

Journal

Construction Management and Economics

Volume

42

Start page

54

End page

69

Total pages

16

Publisher

Routledge

Place published

United Kingdom

Language

English

Copyright

© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License

Former Identifier

2006124466

Esploro creation date

2024-03-01

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