Gholamreza Mansourfar; Bahman Qaderi; Fatemeh Daneshyar
Volume 14, Issue 53 , April 2017, , Pages 113-142
Abstract
Using structural equation modeling approach, this research aims to explorethe effect of political costs on financial reporting quality. For this purpose,66 publicly-listed firms from Tehran Stock Exchange for the period 2006 to2014 were selected as the final data set. As an independent variable, theobservable ...
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Using structural equation modeling approach, this research aims to explorethe effect of political costs on financial reporting quality. For this purpose,66 publicly-listed firms from Tehran Stock Exchange for the period 2006 to2014 were selected as the final data set. As an independent variable, theobservable variables such as capital intensity, concentrate rate, tax ratio, firmsize, employee intensity, and risk were used to proxy the political cost. Inaddition, quality of accruals, disclosure quality, earnings persistence, andaccuracy of financial information were used to measure financial reportingquality which is dependent variable and growth opportunities and leveragewere considered as control variables. The results indicated that political costshad a negative and meaningful effect on financial reporting quality.
bahman qaderi; gholamreza mansourfar; fatemeh daneshyar
Abstract
Political Hypotheses (Political Costs) and Financial Reporting Quality: Empirical Evidence from Tehran Stock Exchange Abstract Using structural equation modeling approach, this research aims to explore the effect of political costs on financial reporting quality. For this purpose, 66 publicly listed ...
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Political Hypotheses (Political Costs) and Financial Reporting Quality: Empirical Evidence from Tehran Stock Exchange Abstract Using structural equation modeling approach, this research aims to explore the effect of political costs on financial reporting quality. For this purpose, 66 publicly listed firms from Tehran Stock Exchange for the period 2006 to 2014 are selected as final data set. As an independent variable, the observable variables such as capital intensity, concentrate rate, tax ratio, firm size, employee intensity and risk are used to proxy the political cost. In addition, quality of accruals, disclosure quality, earnings persistence and accuracy of financial information are used to measure financial reporting quality which is depend variable and growth opportunities and leverage are considered as control variables. The results indicate that political costs have a negative and meaningful effect on financial reporting quality. Keywords: Political Hypotheses, Political Costs, Financial Reporting Quality, Structural Equation Modeling Approach. Corresponding Author
