Relationship between Jordan’s corruption level and company capital structure

Author:

Mansour Marwan1ORCID,Al Zobi Mo’taz2,Altawalbeh Mohammad3ORCID,Allah E’leimat Dheif4ORCID,Alnohoud Ibrahim5ORCID,Marei Ahmad6ORCID

Affiliation:

1. Ph.D. Researcher, Assistant Professor, Business Faculty, Department of Accounting, Amman Arab University, Jordan

2. Ph.D., AssociateProfessor, Business Faculty, Department of Accounting, Amman Arab University, Jordan

3. Associate Professor, Department of Accounting, Tafila Technical University, Jordan

4. Assistant Professor, School of Business, Department of Finance and Banking, Al al-Bayt University, Jordan

5. Assistant Professor, School of Business, Department of Accounting, Al al-Bayt University, Jordan

6. Ph.D., Assistant Professor, Faculty of Business, Accounting and Finance Science Department, Middle East University, Jordan

Abstract

Recently, corruption has become widespread, and firms' responses to corruption carry significant implications. The aim of this study is to check how corruption levels in Jordan influence the capital structure of 80 non-financial companies listed on the Amman Stock Exchange (ASE) from 2013 to 2022. Capital structure is the main dependent variable, and corruption is the crucial variable analyzed as the independent factor. Control variables include company age, profitability, asset tangibility, company size, and the Gross Domestic Product (GDP), in addition to the inflation rate, to create a solid framework for analyzing this nexus. This quantitative research paper applies the fixed-effect (FE) estimation to examine the static model of the study and the generalized method of moment (GMM) for the dynamic model via panel data investigation encompassing 800 company-year observations. The R2 results explain 42.1% of the variations in capital structure level. Accordingly, a 1% upsurge in corruption is accompanied by a 0.0367-unit upsurge in the capital structure ratio. This response is interpreted through the lens of the shielding theory, suggesting that firms raise debt to protect themselves against the predations of corrupt officials. The analysis reveals meaningful connections between the control variables and the capital structure. Specifically, increases in tangibility, firm size, inflation, and GDP correspond to a 3.56%, 1.07%, 6.06%, and 2.143% increase in capital structure, respectively, indicating a positive influence. Conversely, the firm age and profitability variables show adverse effects on capital structure, with coefficients of –1.46% and –7.3%, respectively.

Publisher

LLC CPC Business Perspectives

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