Residential Housing Investment and Local Corruption: Evidence from the Chinese Housing Market

103 Pages Posted: 31 Oct 2022 Last revised: 14 May 2024

See all articles by Yao-Yu Chih

Yao-Yu Chih

Texas State University, San Marcos - Department of Finance and Economics

Firat Demir

University of Oklahoma

Chenghao Hu

San Francisco State University

Junyi Liu

Soka University of America

Hewei Shen

University of Oklahoma - Department of Economics

Multiple version iconThere are 2 versions of this paper

Date Written: April 2, 2024

Abstract

We develop a stylized model to explore the relationship between local corruption and over-investment in residential housing sector. The model has four predictions: i) higher corruption increases investment in the residential housing sector, ii) higher corruption decreases investment in the non-housing sector; iii) there is a threshold effect of corruption on the residential housing over-investment. Corruption causes and aggravates the over-investment problem only when the corruption is high enough; and iv) city attractiveness can negate the effect of corruption on housing over-investment. We test these predictions using a newly developed prefecture city-level corruption dataset and find empirical support for all four hypotheses.

Keywords: Corruption; Residential Housing Investment; Chinese Construction Industry

JEL Classification: O18; D73; R31

Suggested Citation

Chih, Yao-Yu and Demir, Firat and Hu, Chenghao and Liu, Junyi and Shen, Hewei, Residential Housing Investment and Local Corruption: Evidence from the Chinese Housing Market (April 2, 2024). Available at SSRN: https://ssrn.com/abstract=4255915 or http://dx.doi.org/10.2139/ssrn.4255915

Yao-Yu Chih

Texas State University, San Marcos - Department of Finance and Economics ( email )

San Marcos, TX 78666
United States

Firat Demir

University of Oklahoma ( email )

307 W Brooks
Norman, OK 73019
United States

Chenghao Hu

San Francisco State University ( email )

1600 Holloway Avenue
San Francisco, CA 94132
United States

Junyi Liu

Soka University of America ( email )

1 University Dr
Aliso Viejo, CA 92656
United States
2179793599 (Phone)
92656 (Fax)

Hewei Shen (Contact Author)

University of Oklahoma - Department of Economics ( email )

729 Elm Avenue
Norman, OK 73019-2103
United States

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