Market Size: The Unheralded Driver of Value Relevance Differences in Cross-Country Studies?

2009 ◽  
Author(s):  
Stefan Veith ◽  
Joerg R. Werner
2015 ◽  
Vol 30 (1) ◽  
pp. 61-78 ◽  
Author(s):  
Wessel M. Badenhorst ◽  
Leon M. Brümmer ◽  
Johannes H. v. H. de Wet

2021 ◽  
Author(s):  
◽  
FJ Mohaimen

<p>This thesis examines the value relevance of accounting information under integrated reporting (IR) in a comparative mandatory and voluntary setting. A meta review is conducted of all published work focusing on integrated reporting since 2011, which provides detailed insight into the gaps in the IR literature. Multiplicative log-linear model is used in measurement, which is a novel technique that mitigates the shortcomings of traditional value relevance models. The findings show that value relevance of summary accounting information increases after the implementation of IR in the mandatory setting. In the voluntary setting, market effect and the existing reporting paradigm effect the value relevance of accounting information under IR. If the market is large and existing reporting requirements are robust voluntary adoption of IR has minimal to no effect. However, in smaller markets with less rigorous reporting environment, adoption of IR does result in increased value relevance of accounting information. Compared to traditional models, the multiplicative model provides estimates that are more stable over time and shows better explanatory power. Overall, the findings of this thesis show that capital providers value the information content of IR under specific circumstances. This thesis contributes to the IR and value relevance literature by providing the first comparative cross-country evidence of the effect of IR in the change in value relevance of reported accounting information. It provides policy relevant input to the standard setters of IR by demonstrating the effect of IR in the decision usefulness of summary accounting information. The thesis further provides robust evidence of the efficacy of using the multiplicative log-linear model in measuring value relevance instead of the traditional linear additive models.</p>


2021 ◽  
Author(s):  
◽  
FJ Mohaimen

<p>This thesis examines the value relevance of accounting information under integrated reporting (IR) in a comparative mandatory and voluntary setting. A meta review is conducted of all published work focusing on integrated reporting since 2011, which provides detailed insight into the gaps in the IR literature. Multiplicative log-linear model is used in measurement, which is a novel technique that mitigates the shortcomings of traditional value relevance models. The findings show that value relevance of summary accounting information increases after the implementation of IR in the mandatory setting. In the voluntary setting, market effect and the existing reporting paradigm effect the value relevance of accounting information under IR. If the market is large and existing reporting requirements are robust voluntary adoption of IR has minimal to no effect. However, in smaller markets with less rigorous reporting environment, adoption of IR does result in increased value relevance of accounting information. Compared to traditional models, the multiplicative model provides estimates that are more stable over time and shows better explanatory power. Overall, the findings of this thesis show that capital providers value the information content of IR under specific circumstances. This thesis contributes to the IR and value relevance literature by providing the first comparative cross-country evidence of the effect of IR in the change in value relevance of reported accounting information. It provides policy relevant input to the standard setters of IR by demonstrating the effect of IR in the decision usefulness of summary accounting information. The thesis further provides robust evidence of the efficacy of using the multiplicative log-linear model in measuring value relevance instead of the traditional linear additive models.</p>


2021 ◽  
Vol 231 ◽  
pp. 107835 ◽  
Author(s):  
Kannan Govindan ◽  
Merve Kilic ◽  
Ali Uyar ◽  
Abdullah S. Karaman

2016 ◽  
Vol 8 (4) ◽  
pp. 146 ◽  
Author(s):  
Po-Lu Chen

<p>This paper investigates the impact of cross-country economic espionage on innovation incentives and welfare by considering both ex ante and ex post effects of espionage. I consider two firms residing in two countries with two types of innovation, cost-reducing research and development (R&amp;D) and information technology R&amp;D, and find that espionage activity reduces both firms’ investment in cost-reducing R&amp;D. The change in consumer’s welfare due to espionage depends on two offsetting effects and is ambiguous. I also discuss the effect of sales ban policy on deterring espionage. I find that sales ban policy may alternatively encourage investment in espionage activities if market size is small. Whether sales ban policy can improve consumer’s welfare depends on the market size. When market size is large that espionage activities are deterred by sales ban, then more capital devoted to cost-reducing R&amp;D leads to higher consumer welfare. However, if market size is small that espionage is not deterred, then monopolistic position of the local firm under sales ban policy hurts local consumers.</p>


2011 ◽  
Author(s):  
Alexander Patterson ◽  
William A. Gentry ◽  
Sarah A. Stawiski ◽  
David C. Gilmore

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