The Quality of Financial Reporting as a Motivation for Charity, Signaling, and Investment Activities of Social Responsibility
Volume 22, Issue 85, Spring 2025, Pages 237-273
https://doi.org/10.22054/qjma.2025.82479.2623
Hayder Hussein Nassr, Hamzeh Didar, Gholamreza Mansourfar
Abstract The aim of this study is to examine the presence of motivations related to the charity, signaling, and socially responsible investment (SRI) hypotheses, as well as the role of financial reporting quality in fostering these motivations, if present. This research is applied in nature and falls within the descriptive-correlational category, as it explores the relationships between variables. Based on specific criteria and limitations, the screened sample consists of 101 companies listed on the Tehran Stock Exchange during the years 2014 to 2023, which were analyzed using multivariate regression models. The findings indicate that companies' participation in corporate social responsibility (CSR) activities is driven by motivations beyond charitable purposes. Furthermore, financial reporting quality has a positive and significant impact on optimal CSR—those activities driven by investment-related motivations—while it has a negative and significant impact on deviations from optimal CSR, which are driven by signaling motivations. Overall, the results suggest that companies with higher financial reporting quality are less likely to engage in opportunistic signaling through CSR activities. Consequently, CSR in these companies is more aligned with optimal goals, such as investment, profit generation, and enhancing firm value.
Introduction
Several theoretical frameworks explain how financial reporting quality influences corporate social responsibility (CSR) activities. Legitimacy theory suggests that companies with agency problems may disclose CSR information to rebuild trust. Signaling theory argues that high-quality financial reporting uses CSR to signal transparency and financial health. Stakeholder theory emphasizes that high-quality financial reporting motivates companies to consider stakeholder interests. Agency theory suggests that low-quality reporting may lead companies to use CSR to hide weaknesses. Lys et al. (2015) propose three hypotheses: (1) the charity hypothesis (CSR for societal benefit), (2) the investment hypothesis (CSR to improve performance), and (3) the signaling hypothesis (CSR driven by future prospects or opportunism). This study aims to examine the impact of financial reporting quality on these hypotheses.
Research hypotheses
CSR activities do not have a significant impact on the company's financial performance.
Financial reporting quality has a positive impact on CSR activities motivated by investment purposes.
Financial reporting quality has a significant impact on CSR activities driven by signaling motives.
Literature Review
Financial reporting quality can create different incentives for companies to engage in corporate social responsibility (CSR) activities, with varying motivations depending on the level of reporting quality. According to Lys et al. (2015), these motivations can be categorized into three hypotheses: the charity, investment, and signaling hypotheses.
Charity Hypothesis: High-quality financial reporting can lead to CSR activities driven by genuine philanthropic motivations, whereas companies with low-quality reporting might use CSR as a tool to mask managerial or informational weaknesses. The charitable motivation is typically seen as non-strategic in companies with high-quality reporting, but in companies with lower-quality reporting, CSR may serve as a means to manipulate stakeholders' perceptions without a true commitment to society.
Investment Hypothesis: Under this hypothesis, CSR activities are viewed as investments aimed at improving financial performance. Companies with high-quality financial reporting treat CSR as a strategic tool to enhance performance, believing it can reduce capital costs, improve reputation, and strengthen relationships with stakeholders.
Signaling Hypothesis: CSR activities are used as signals to the market and stakeholders. Companies with high-quality financial reporting use CSR to send positive signals regarding their commitment to social and environmental causes, while companies with poor reporting may use CSR as a misleading signal to compensate for weak financial transparency.
Methodology
This applied, retrospective study focuses on analyzing relationships between various variables using past data. It is descriptive-correlational in nature. A library research method was used to develop the theoretical framework and review the literature. Primary data were collected from sources such as the Rahavard Novin software database, financial statements, company notes, and board of directors' reports. The research population includes companies listed on the Tehran Stock Exchange, with data collected from 2014 to 2023. Based on specific criteria, 101 companies were selected for hypothesis testing during this period.
Results and Discussion
The results of the first hypothesis showed that CSR positively impacts company performance, indicating that motivations beyond charity should be explored in Iranian companies. Financial reporting quality was found to drive CSR activities, supporting the second and third hypotheses related to investment and signaling motives.
The second hypothesis confirmed that financial reporting quality positively impacts optimal CSR, with companies using CSR to increase value and profit. This finding is consistent with signaling and stakeholder theories, as companies with high-quality reporting are more motivated to engage in CSR for investment purposes.
The third hypothesis showed that financial reporting quality negatively impacts deviations from optimal CSR, suggesting that high-quality reporting reduces opportunistic motives and leads to more genuine CSR efforts. These findings confirm that financial reporting quality promotes investment-driven motivations and reduces opportunistic behavior.
Conclusion
Based on the results of this study, it can be concluded that companies can improve their performance by engaging in CSR activities, and these activities are driven by motivations beyond philanthropic goals. In this context, financial reporting quality has a positive and significant impact on optimal CSR. This indicates that companies with higher financial reporting quality engage in CSR activities with investment and profit-seeking objectives. Additionally, financial reporting quality has a negative and significant impact on deviations from optimal CSR. This result suggests that companies with higher financial reporting quality are less likely to send opportunistic signals through CSR. As a result, CSR in these companies is more aligned with optimal goals—namely, investment purposes, profit generation, and enhancing company value.
Acknowledgments
We would like to express our sincere gratitude to all the esteemed professors who assisted the authors in preparing this article.
The Effect of Diversification Strategies on Inventory Performance
Volume 18, Issue 71, Autumn 2021, Pages 113-142
https://doi.org/10.22054/qjma.2021.58687.2227
Zahra Yousefzadeh, Gholamreza Mansourfar, Farzad Ghayour
Abstract Today, with rapid and sustained changes in business markets, a growing number of companies have turned diversification into new product segments or global markets by shifting their business to increase the importance of long-term financial viability and sustainability. Moreover, increasing the variety of products, covering the uncertain demand of customers, managing inventories and timely action have been important issues in manufacturing companies. Accordingly, the main purpose of this study is to investigate the impact of diversification strategy on inventory performance, which is one of the topics of operations management by considering the classification of the diversity into related, unrelated and international. The statistical population studied includes all companies listed in the Tehran Stock Exchange during the years 2009-2018. Sampling has been done by screening method, and the number of companies in the final sample has reached 120 companies. The hypotheses have been tested by the estimated generalized least squares method. The results show that related and international diversification have positive and significant effects on inventory performance. The findings also indicate that unrelated diversification has an adverse effect on inventory performance, but this relationship is not statistically significant. Based on the acquired results, an increase in related and international variety of products, relying on higher safety stock, has led to an increase in sales. In addition, the insignificancy in the effect of unrelated diversification on inventory performance can be attributed to production costs and marketing programs of manufactured products.
Predicting the Industry Index Volatility of Companies Listed in Tehran Stock Exchange, Emphasizing on Corporate Financial Variables Using Support Vector Machine
Volume 12, Issue 46, Summer 2015
https://doi.org/10.22054/qjma.2020.571.1035
Abstract The purpose of the study is to investigate comparative ability of accounting information to predict indices volatility of companies listed in Tehran Stock Exchange using intelligent methods including Support Vector Machine, Artificial Neural Network and classic Logistic Regression model. Sample of study includes 91 companies listed in Tehran Stock Exchange which have been classified in 9 industry group during time period of 2003-3013. Considering 11 corporate financial variables, study results show that despite predicting ability of around 60% by Support Vector Machine and Artificial Neural Network, there is significant difference between actual and predicted results. Also, classic Logistic Regression model can explain only 4% industries’ indices volatility using selected 11 corporate financial variables. Finally, although intelligent methods are superior to classic methods, accounting information solely aren’t well-explainer variables for predicting industry index volatility and variety of variables such as financial, political, economical … are effective in predicting industry index volatility.
