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Journal of Risk and Financial Management
  • Article
  • Open Access

18 June 2024

Does Corporate Social Responsibility Create Value in Acquisitions? Evidence from the German Market

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and
1
ESB Business School, Reutlingen University, 72762 Reutlingen, Germany
2
Department of Business Administration, Andrássy University, 1088 Budapest, Hungary
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Recent Developments in Finance and Economic Growth

Abstract

This paper examines the impact of a firm’s Corporate Social Responsibility (CSR) level on abnormal stock returns around merger and acquisitions (M&A) announcements. Using a sample of transactions announced by German DAX-listed acquirers from 2017 and 2022, the analysis assesses whether CSR creates value for acquiring firms’ shareholders and offers a comprehensive discussion of potential factors supporting or opposing this notion. Our study seeks to fill a notable gap in the German literature on the relationship between CSR performance and abnormal stock returns surrounding M&A announcements. Building upon prior research findings in the US and in an international sample, our investigation focuses on the German market. Employing event study methodology, our results indicate that M&A transactions of German-listed acquirers did not yield significant negative or positive cumulative abnormal returns for event windows of 3 and 11 days. Furthermore, based on multiple linear regression, no evidence was found that CSR positively or negatively influenced abnormal stock returns following M&A announcements, suggesting that positive and negative effects potentially offset each other. The outcomes of our research have important implications for investors, as CSR initiatives do not serve as a positive trading signal, guaranteeing excess returns, which contrasts findings from previous studies in other developed countries. For managers, it is essential to concentrate on factors beyond CSR performance, such as synergies and fit. Finally, both managers and investors should not view CSR as a shareholder value-enhancing short-term investment but as an integral component of fostering sustainable business development.

1. Introduction

Many companies have increased their investments in CSR as part of their strategic orientation or in response to growing stakeholder requirements regarding their social and environmental impact. McWilliams and Siegel (2001) depicted CSR as actions that go beyond the interests of a company and result in social good. According to Hill et al. (2007), CSR is defined as economic, legal, moral, and philanthropic actions influencing relevant stakeholders. The growing importance of CSR for companies’ operations is best reflected in the increasing demand for socially responsible investment (SRI) funds from an investor’s perspective (Cellier and Chollet 2016). According to a report by the Forum for Sustainable Investments, the total volume of SRI funds at the end of 2022 amounted to EUR 475.8 billion in Germany, up 16% compared to the previous year (FNG Marktbericht Deutschland 2023).
As a result of the increasing importance of CSR in managerial and strategic practice, corporate social activities have been put on the research agenda. In particular, the question of whether CSR leads to value creation or, on the contrary, destroys value for shareholders is under much debate (Aktas et al. 2011; Broadstock et al. 2020; Tampakoudis et al. 2021; Cho et al. 2021). Mergers and acquisitions (M&A) provide an interesting setting to investigate this question, as M&A transactions can be considered one of the most important managerial decisions (Jost et al. 2022), having a substantial impact on shareholder wealth (Teti et al. 2022).
Despite an increasing number of studies, however, CSR within the context of M&A is still underrepresented (Gonzàlez-Torres et al. 2020; Meglio 2020). Two noteworthy studies, Deng et al. (2013) and, more recently, Zhang et al. (2022), have indicated a positive relationship between CSR performance and value creation in the context of Mergers and Acquisitions (M&A) for the US and selected international markets, respectively. CSR performance could be expected to impact M&A success due to its potential to foster positive stakeholder reactions that, for example, facilitate integration and reduce associated costs, which can serve as an optimistic signal to investors (Zhang et al. 2022). CSR could, however, also be perceived negatively for M&A success (Meckl and Theuerkorn 2015), as, for instance, high CSR standards could make integrating the target more difficult and costly, and a focus on CSR efforts could potentially divert management’s attention from a rigorous M&A execution process.
While there is isolated evidence for the US and selected international markets, to the best of our knowledge, there is no study examining this relationship within the German market, which ranks among the world’s largest economic centers. Furthermore, existing studies lack a rigorous discussion of potential positive and negative effects of CSR performance on investor perception in an M&A context. Thus, this paper aims to determine the reasons for as well as the extent to which short-term shareholder value creation through M&A is attributable to an acquiring company’s level of CSR. More specifically, our empirical analysis focuses on the influence of CSR performance on abnormal stock returns of an acquiring company around M&A announcements.
Consequently, the following two research questions have been developed to conduct an empirical analysis:
1. 
What are potential positive and negative effects of CSR investments by the acquirer in an M&A surrounding?
2. 
Does an acquiring company’s level of CSR influence abnormal stock returns in the context of M&A announcements in Germany?
We use environmental, social, and governance (ESG) scores to measure a firm’s CSR performance and thus follow previous research and existing investment practices (Krishnamurti et al. 2020; Tampakoudis et al. 2021; Barros et al. 2022; Damtoft et al. 2024). Investors, analysts, and fund managers consider CSR more as company-specific branding. Therefore, they use ESG criteria to analyze securities to obtain quantifiable sustainability measures. In their view, ESG criteria allow for fully capturing corporate sustainability’s holistic nature in a standardized and comparable framework (Walz 2019).
The main objective of our analysis is to discuss and examine the relationship between a company’s level of CSR and short-term potential value creation, measured by the adjustment of stock prices following the M&A announcement. To investigate this, we used event study methodology to quantify the financial impact of 231 M&A transactions by German acquirers on short-term value creation from 2017 to 2022. Furthermore, we divided our observation period into two subsamples, pre-COVID-19 and interim-COVID-19, to control for effects from the pandemic. Our results show that the M&A transactions of German-listed acquirers yielded a slightly negative CAR for event windows of 3 and 11 days, respectively, but in both research settings, without statistical significance. Applying multiple regression analysis, we found no evidence that CSR performance positively influences abnormal stock returns following M&A announcements for the covered period. We conclude that, for the German market, we cannot confirm the positive findings observed in the US market by Deng et al. (2013) and in a broader international sample by Zhang et al. (2022), casting doubt on the generalizability of their results. Supported by a comprehensive discussion of potential effects, we conclude that the positive and negative effects of CSR on the value perception of investors around M&A announcements seem to offset each other. Consequently, we suggest that decision-makers should not rely heavily on CSR-related measures as value-adding investments.
Our study contributes to the existing literature in two ways. First, only a few empirical studies analyze the relationship between CSR and the financial performance of German-listed firms (Fischer and Sawczyn 2013; Velte 2017). No empirical research has examined the relationship between CSR and value creation in German M&A using announcement effects. Thus, our work aims to fill this gap in the existing literature for developed countries and complements the existing research by providing results from German data. Second, our analysis provides a comprehensive discussion of both the potential positive and negative effects of CSR investments by acquirers in an M&A context. While existing studies have typically adopted a single perspective or argument for hypothesizing an impact on corporate transactions (e.g., Zhang et al. 2022), we have not found any study that has comprehensively discussed both views, providing an overview of the entire setting in the CSR-M&A context and arguing for a counterbalancing net effect.
Focusing on Germany as a representative developed country in the EU and using a sample period from 2017 to 2022, our study examined a region and a period subsequent to the introduction of a new EU-wide regulation on CSR reporting, the Non-Financial Reporting Directive (NFRD) (Directive 2014/95/EU). The aim of this regulation is to require larger companies in the EU to report environmental, social, employee, human rights, anti-corruption, and bribery matters in order to promote better CSR performance. Implementing the NFRD was regarded as a significant step towards greater business transparency. The new directive became effective in 2018, reporting for the first time for the 2017 fiscal year.
The remainder of this paper is structured as follows. Section 2 introduces the theoretical framework and the hypothesis’s development and reviews the extant literature on the association between CSR and financial performance. Section 3 describes the sample selection and methodological approach. Empirical results, their interpretation, and the illustration of the limitations will be presented in Section 4. Finally, Section 5 concludes the analysis.

3. Data and Methodology

We chose DAX-listed firms as they account for around 80 percent of the total market capitalization of all listed companies in Germany, providing a representative view of the German market (Börse Frankfurt 2023). We measured the CSR engagement of a firm using ESG scores, aligning with prior studies that have evaluated a company’s CSR engagement level through its ESG score (Deng et al. 2013; Velte 2017; Broadstock et al. 2020; Tampakoudis et al. 2021). ESG scores are considered objective assessments of a company’s commitment to sustainable business practices and are common practice in CSR literature. The set of M&A transactions and companies’ ESG scores were derived from the data provider FactSet. The FactSet database collects comprehensive information regarding each M&A transaction, including the announcement date, transaction value, and deal description. In addition, acquirer-related information, historical stock prices, and market index prices were retrieved. The ESG scores provided by FactSet are composed of five dimensions: environment, social capital, leadership and governance, human capital, and business model and innovation. The selection of control variables (industry, year, transaction value, listed target) followed the study conducted by Masulis et al. (2007). The target company status (public or private target) was included in the regression model because it appears to be a crucial driver of acquirer returns (Hazelkorn et al. 2004). In most cases, a target status of private was also responsible for a lack of ESG score data. As information on deal value was not disclosed for all transactions identified between 2017 and 2022, deals were classified into major deals (≥500 million euros) and minor deals (<500 million euros). This approach aligns with the study by Alexandridis et al. (2017), which provided evidence for more shareholder value creation among larger deals. The sample of transactions was selected following these criteria:
  • The initial sample included all M&A transactions sourced from FactSet, in which German DAX-listed companies acted as the acquirers in the transaction. The considered German firms have been part of the German index throughout the covered period from 1 January 2017 and 31 December 2022.
  • Acquiring firms within the banking, financial services, and insurance sectors were excluded. The company identification used by the Frankfurt Stock Exchange was adopted to identify the company’s sector. The reason to exclude firms that belong to the banking, financial services, and insurance sectors is because capital requirements and cash policies regulate them. These firms have considerably different capital structures with high liquidity and leverage. This makes them less comparable to the rest of the sample companies. The exclusion of financial intermediaries aligns with numerous previous studies (e.g., Deng et al. 2013; Mager and Meyer-Fackler 2017).
  • The M&A transactions must be announced between 1 January 2017 and 31 December 2022, and their deal status must be completed.
  • The acquiring firm holds less than 50% before the transaction is announced.
  • M&A transactions whose announcement dates and event windows interfered with each other were excluded due to a possible bias effect on the results.
  • Complete information regarding stock returns, market betas, and ESG scores must be available for all companies in the FactSet datasheet, creating a homogeneous data sample.
Table 1 summarizes the individual steps of the sample selection process.
Table 1. Sample selection process.
Occasionally, overlapping event windows were apparent in the dataset. Abnormal stock returns from overlapping event windows were not uncorrelated. The financial impact of one event will spill over to a second event and multiply the market response. Thus, these observations were dropped from the dataset to avoid distortion of the study results.
Following these selection criteria resulted in a final sample of 231 transactions by 17 German DAX-listed companies (see Table 2).
Table 2. Descriptives about the acquiring firms.
For the regression analysis, the sample was further reduced to 56 M&A transactions as the parties involved in a deal do not usually disclose the transaction value, limiting the sample for this particular analysis.
Essentially, two methods exist in the current literature to measure value creation from M&A: event studies and accounting studies. The event study is a forward-looking, direct measure of value creation based on market returns. On the contrary, accounting studies are based on reported financial statements and measure returns through historical accounting figures. Thus, the disadvantage of this approach is the backward-looking nature of the variables used to compute stock returns. Additionally, previous studies on the relationship between CSR and firm value have suffered from a reverse causality problem (Waddock and Graves 1997; McWilliams and Siegel 2000). However, applying the event study methodology can potentially mitigate this, as M&A transactions are largely unanticipated events (Deng et al. 2013; Cellier and Chollet 2016; Teti et al. 2022).
Return event studies have captured the stock market reaction and, thus, investors’ perception of a specific event. In the context of this paper, this is the M&A announcement. An event’s financial impact is quantified in abnormal returns (AR). The AR is the difference between the actual realized return and the return without the M&A announcement (Wang et al. 2020). The analysis employs the market model by Brown and Warner (1985) for calculating the return without an M&A announcement.
R t = α + β × R m t + ε
Rt and Rmt denote the company-specific stock return and the market return, respectively. α and β are the two parameters determining the linear relationship between company-specific return and overall market return. The residual ε is the error term. In the market model, the expected value of ε is presumed to be 0. Therefore, the expected return of the stock for the event date is:
E r = α + β × R m t
The CAPM was applied as a prediction model for the market model by Brown and Warner (1985) in this paper:
E r = R f + β i × R m R f
Rf indicates the risk-free rate, while βi and Rm represent the company’s beta and the market return, respectively. Hence, the AR for each event date is:
A R t = R t E r
To quantify the impact of an event over a time period, daily abnormal stock returns were cumulated to obtain the cumulative abnormal return (CAR). Thus, CAR is the sum of AR over the event window, stretching from the day before the merger announcement t (−1) to the day after the merger announcement t (+1).
CAR t 1 , t 2 = t 1 t 2 A R t
More specifically, this paper computed the abnormal stock returns in three steps. First, the event date and the event window were defined. The exact event date for each transaction was the announcement date of the M&A deal. t0 denotes the event date. If the announcement occurred on a non-trading day, the following trading day was considered the event date. In line with Zhang et al. (2022), Hackbarth and Morellec (2008), and Alexandridis et al. (2017), an event window of 3 days [−1, +1] was incorporated in this study to examine the short-term value creation following the M&A announcement. Like Deng et al. (2013), a longer event window of 11 days was also applied to further test the robustness of the results and for comparability reasons. This event window included several days before the announcement due to the possible occurrence of information leakage and rumors. Furthermore, as the market reaction following the announcement might last several days, the days after the event date were also included to capture the short-term value creation (Aggarwal and Chen 1985). We used short-term event windows to accurately reflect the shareholder value creation from M&A deals in the short run (Andrade et al. 2001). Longer event windows that include more days are not optimal because they may increase the likelihood of noise and influence from other factors (MacKinlay 1997). Additionally, the error term in short-term studies is smaller, and the corresponding computation of abnormal stock returns is more accurate than in long-term studies (Kothari and Warner 2007).
The second step was to compute each transaction’s expected return, AR, and CAR. Then, the normal return was estimated using the parameters of the CAPM. The risk-free rate was approximated using the yields of 10-year German government bonds. The yearly average values of their betas were employed to assess the systematic risk associated with individual companies. The DAX index’s daily return served as the market proxy. We used an estimation window of 200 days for estimating the expected returns.
In the last step, several statistical tests and regression analyses were performed. To investigate the value effects of CSR, we analyzed the market’s reactions to the ESG scores. We used the following regression equation:
CAR i , t = α + β × ESG i , t + γ × IND + δ × YEAR + ζ × TV + η × LT + ε
where CARi,t is the cumulative abnormal return of acquirer i on date t, ESGi,t is the ESG score for acquirer i, IND is the control variable Industry, YEAR is the control variable Year of the deal, TV is the control variable Transaction value for potential deal size effects, LT is the control variable Listed target (public or private), and ε is the random disturbance term.
t-tests were conducted to test whether the mean CAR for the two event windows of 3 and 11 days significantly differed from 0. In addition, the Wilcoxon test was used to examine the significance of the median CAR.
Before the regression analysis, several necessary assumptions were tested to ensure the model’s validity. First, the regression model was tested for multicollinearity; we found no evidence for multicollinearity. The correlation among the independent variables was within the acceptable threshold of less than 0.7. Second, the sample was inspected for possible outliers by performing a Cook’s Distance test. Computing Cook’s Distance resulted in minimum and maximum values of 0.000 and 0.394, respectively. In addition, the Cook’s Distance values were visually inspected via a scatter plot in which no data point appeared to be an extreme outlier. Subsequently, the Kolmogorov–Smirnov and Shapiro–Wilk tests were performed to analyze the residuals’ normal distribution. Both tests assumed a normal distribution in their null hypothesis, which could be retained with p-values larger than 0.05. Both tests were insignificant and, thus, could not reject the null hypothesis.
Furthermore, a visual examination was undertaken. The data points followed approximately along the diagonal in the Q-Q plot. Similarly, the histogram indicates an approximate normal distribution. Based on the analytical and graphical indications, normally distributed residuals are assumed to exist. Afterward, the regression model was tested for signs of heteroskedasticity. Based on a visual inspection, it can be observed that the values were within −3 and 3 in the scatter plot of residuals. In addition, the data points were randomly distributed and did not appear in a specific pattern. The modified Breusch–Pagan test further investigated a potential heteroskedasticity’s existence. The test was insignificant and provided no evidence for heteroscedasticity. Finally, the Durbin–Watson statistic was computed to test for possible first-order autocorrelation of the residuals. The output showed a value of 2.481, within the acceptable range between 1.5 and 2.5. Therefore, no autocorrelation was assumed to exist among the residuals. Consequently, we assumed a linear multiple regression could provide valid results based on these different test procedures.

4. Results and Discussion

Table 3 shows the mean and median CAR values for this study’s two applied event windows.
Table 3. Means and medians of CAR for the selected event windows over different observation periods (in percent).
Both event windows yielded a negative mean of −0.13% for CAR [−1, +1] and −0.25% for CAR [−5, +5] over the complete observation period. However, the results were not statistically significant. At the very least, it could be assumed that the stock market did not react positively in the short run to M&A transactions of DAX-listed acquirers in the sample. This is in line with the majority of existing studies on short-term value creation from developed economies that document mainly negative announcement effects (e.g., Healy et al. 1992; Andrade et al. 2001; Campa and Hernando 2004; Hazelkorn et al. 2004; Conn et al. 2005; Hackbarth and Morellec 2008; Alexandridis et al. 2012; for the German market: Mager and Meyer-Fackler 2017). Only recently, however, isolated studies have come to more positive results, such as Alexandridis et al. (2017), which found evidence of positive value effects for acquiring firm shareholders in the aftermath of the 2008 financial crisis.
In a similar vein, when examining the mean CAR for each year throughout the designated period, we observed positive (but not significant) value creation effects of 0.07% for CAR [−1, +1] and 0.55% for CAR [−5, +5] in the year 2021 following the disruptive impact of the COVID-19 pandemic. These effects were observed across both event windows, partially supporting the earlier conclusions by Alexandridis et al. (2017). Their research proposed a rapid recuperation in the value creation effects of acquiring firm shareholders following a period of economic turmoil. In the other years, we saw predominantly negative CAR values without statistical significance. To conclude, there was at least little evidence of positive effects on the announcements of M&A transactions. A similar pattern emerged when examining a pre-COVID-19 (2017–2019) and an interim-COVID-19 (2020–2022) subsample regarding CAR values. Although not statistically significant, there were indications that the negative effect persisted. At least, there were scarcely any indications that positive effects had emerged. There were no differences between the two subsamples (see Table 3). Additionally, no significant outliers existed in any of the data periods considered.
In the next step, we used multiple linear regression (see Table 4) to investigate the relationship between the announcement effect and the CSR performance of the firms in our sample, as well as several control variables (industry, year, transaction value, and listed target). A detailed collinearity diagnosis was performed to examine potential adverse effects on the regression results closely. However, the dataset did not reveal signs of multicollinearity. Furthermore, the regression model was tested for outliers, heteroskedasticity, and possible first-order autocorrelation of the residuals. We found no limitations in performing the regression.
Table 4. Model summary of regression analysis (meta ESG score).
As the indicator variables, Industry and Year have ten (number of industries in the sample) and six (number of years in the sample) levels, respectively; the Chemicals industry and the Year 2017 are set as the reference categories in the regression analysis. To determine an overall significant relationship between the dependent variable and the set of explanatory variables, an F-test was conducted, yielding a value of 0.781. The ANOVA output disclosed a significance value of 0.697 and was not statistically significant. Therefore, the selected independent variables, including the ESG score and several control variables, do not significantly impact abnormal stock returns following an M&A announcement. The adjusted coefficient of determination R2 value of negative 0.068 states that the model cannot explain the variance of the dependent variable. A possible explanation for the model’s poor fit might be that the selected explanatory variables do not appropriately reflect changes in abnormal stock returns. As a result, ESG scores, as a proxy of firms’ level of CSR, are not statistically relevant to the creation of short-term shareholder wealth.
The ESG scores used in our regression were aggregated factors of different ESG dimensions. The ESG scores we used were composed of five individual elements provided by FactSet: (1) Business Model and Innovation, (2) Environment, (3) Leadership and Governance, (4) Human Capital, and (5) Social Capital. In a further regression, we replaced the “meta-ESG score” used in the first regression and included the five individual scores for each company. The results can be found in Table 5, where it can be seen that the individual observations also showed no significant correlations. This confirms the results from the first regression model.
Table 5. Model summary of regression analysis (five ESG dimensions).
Thus, concerning our research question, we did not find any evidence of a significant positive or negative relationship in our sample of German M&A transactions between the level of CSR, measured by the corresponding ESG score, and value creation. This result confirms our hypothesis that an acquiring company’s level of CSR does neither positively nor negatively influence investor perception, as measured by abnormal stock returns in the context of M&A announcements.
Our research adds new evidence to the still ambiguous results in the existing literature and contributes to the discussion on the potential influence of CSR in M&A transactions. Our work is the first paper that analyzes the relationship between CSR performance and value creation for the German market, using transaction data from M&A deals. In essence, the findings of this paper contradict recent study results arguing for a positive correlation between the acquirer’s CSR level and abnormal stock returns after the M&A announcement. The works by Deng et al. (2013) and Zhang et al. (2022) found positive value effects for the US and for an international sample of developed countries. However, our sample did not provide evidence for such a correlation regarding German-listed firms between 2017 and 2022.
While our findings contradict the abovementioned studies, they do not stand alone. They align with early results of Arlow and Gannon (1982) and Aupperle et al. (1985), who did not find a statistically significant relationship between CSR and financial performance. More recently, and in alignment with our hypothesis, Meckl and Theuerkorn (2015) also found no statistical correlation between the CSR dimension and abnormal returns. Moreover, our results are consistent with the study conducted by Fatemi et al. (2017) for a Japanese sample. The authors observed that the ESG performance of Japanese acquirers exerts no statistically significant influence on abnormal returns. They explained this finding by arguing that Japan’s market for corporate control has become more competitive and, consequently, behaves now similarly to those of Western countries. Furthermore, our results are consistent with a recent study for the Chinese market (Li et al. 2019) and a study using a sample of 23 emerging markets (Yen and André 2019). Likewise, Tampakoudis et al. (2021) investigated the relationship between ESG performance and abnormal announcement returns for a similar recent period. However, they used a slightly different research design, primarily focusing on differences in shareholder wealth creation before and during the COVID-19 pandemic, and their sample included only US firms. The authors did not find a significant positive value effect of ESG performance on acquiring shareholders independently from the COVID-19 pandemic (Tampakoudis et al. 2021). Our findings confirm the results of these studies.
Thus, based on the findings of our study for the German market and the results reported in other regions, the positive results presented by Deng et al. (2013) and Zhang et al. (2022) may ultimately prove to be isolated statistical artifacts. Despite the smaller dataset and the focus on the German M&A market, our results cast doubt on the generalizability of the findings in the works of Deng et al. (2013) and Zhang et al. (2022). Possible differences could arise from the varying study periods, which at least call into question the time-independence of the results. Additionally, Zhang et al. did not provide separate results for the regions included in their sample, leaving room for speculation about contradictory or insignificant outcomes within their international sample. Differences in the industrial composition of the markets considered, or generally differing M&A markets with regard to investor culture, could also explain the discrepancies in the results.
In conclusion, we found no evidence that would either support positive effects from the stakeholder value maximization view or negative effects from the shareholder expense view. The stakeholder value maximization view, on the one side, argues that CSR performance may positively impact M&A through benevolent stakeholders supporting a deal and through intensified analyses of cultural fit and other risk factors such as ecological or social risks. In an M&A setting, in high-CSR firms, this positive effect should be visible in better financial performance and positive investor perception since benevolent stakeholders may often influence decisions in such transactions and play an important role in post-merger integration (Deng et al. 2013). However, we did not find evidence that confirms this view. On the other side, we also did not find evidence that would support the negative effects suggested by the shareholder expense view. This view suggests that engaging in socially responsible activities can incur additional costs, potentially putting a company at a competitive disadvantage. Companies that heavily invest in CSR initiatives might face financial constraints, which could hinder their ability to effectively integrate acquisition targets. Furthermore, investors might anticipate higher integration costs due to the need for alignment and standardization of CSR practices. Lastly, prioritizing CSR efforts could divert management’s attention from the rigorous execution required in M&A transactions. In summary, these negative effects should result in negative investor perceptions.
While we believe that the arguments from both contrasting views hold logical validity, we conclude that both effects exist but balance each other, thus confirming our hypothesis. As demonstrated in Figure 1, there are positive effects from CSR activities and negative effects from CSR activities that should be considered by investors. We believe that our results provide evidence that, in the perception of investors, these effects in aggregate cancel each other out, thus leading to insignificant results in our sample. Consequently, the empirical evidence suggests that the market is undecided about CSR’s value-enhancing effects in M&A surroundings.
We acknowledge that alternative explanations could explain our results, as well as the differences observed when compared to the findings of Deng et al. (2013) and Zhang et al. (2022). Different methodological approaches could explain the contradictory empirical results in some of the existing literature. McGuire et al. (1988) pointed out that social responsibility affects firm performance in several ways. Hence, selecting explanatory variables and research design might substantially influence the findings. For instance, a minority of studies have investigated the CSR performance of the target (Aktas et al. 2011; Teti et al. 2022) instead of the acquirer, or the difference between the target’s and the buyer’s CSR levels (Cho et al. 2021). Additionally, the difference in the definition of CSR and ESG might probably be a reason for the difference in the results of various studies. Furthermore, while we believe that the arguments provided in favor and against a value effect of CSR in M&A hold true, practical experience in M&A may suggest different results, overshadowing the effects postulated in Section 2 and summarized in Figure 1. While companies with strong CSR performance may exhibit better relations with stakeholders, as the stakeholder value maximization view suggests, in M&A transactions, other factors such as financial performance, previous integration experience, or shareholders’ perceptions of the takeover price may play a far more significant role. In addition, CSR might not serve as a sufficient measure of cultural fit between the acquiring and target companies. The acquirer’s focus on CSR performance might not necessarily translate into a greater focus on cultural synergies with the target firm, which one might expect to facilitate smoother integration. Likewise, detecting other risk factors, such as ecological or human resource risks, may probably be more influenced by the professional execution of the due diligence process rather than focusing on CSR performance. In sum, these tempering effects could explain the absence of significant positive results.

5. Conclusions

This study explored the potential impact of an acquirer’s level of CSR (measured through its ESG score) on cumulative abnormal stock returns following an M&A announcement. The sample included 231 M&A transactions announced by DAX-listed companies between 1 January 2017 and 31 December 2022. While most studies in this research field apply accounting-based, long-term profitability measures, this paper complements the literature focusing on short-term value creation and measuring abnormal stock returns with the event study methodology. Consequently, we assume an investor-oriented perspective in the study. It is the first study that analyzes the relationship between CSR performance and value creation in M&A transactions for the German market after implementing the NFRD in the EU.
Our results contribute to the ongoing debate regarding the crucial and inconclusive question of whether a higher level of CSR is value-enhancing or value-destroying. As the literature remains ambiguous, with several studies finding positive announcement effects for high CSR acquirers (Aktas et al. 2011; Deng et al. 2013; Cho et al. 2021; Zhang et al. 2022) and other studies documenting opposing results (Meckl and Theuerkorn 2015; Fatemi et al. 2017; Yen and André 2019; Tampakoudis et al. 2021), we offer a new, balanced perspective on the issue. With our study, we provide an extensive discussion and a comprehensive summary of the potential positive and negative effects of an acquirer’s CSR engagement on value creation in M&A situations. Contrasting, in particular, the findings of Deng et al. (2013) and Zhang et al. (2022), our findings at least cast considerable doubt on the existence of a positive or negative correlation between CSR and value creation in M&A. Adopting a multiple linear regression model, the results could not provide sufficient statistically relevant evidence that a company’s level of CSR positively or negatively affects abnormal stock returns following an M&A announcement. Since both the positive and negative arguments regarding the impact of CSR on M&A transactions hold validity, our results suggest that they potentially offset each other. This balance results in a net effect where neither a distinctly positive nor negative influence on investor perception of CSR activities in the context of M&A is observed. This ambiguity highlights the complex nature of CSR’s role in M&A transactions. On the one hand, CSR initiatives may foster better stakeholder relations, and support from stakeholders such as employees, customers, and suppliers can be a strong positive signal in M&A situations (Deng et al. 2013; Cho et al. 2021; Segal et al. 2021). On the other hand, CSR initiatives involve high costs that could hinder integration efforts, trigger higher costs due to the need for alignment and standardization of CSR practices, and divert management’s attention from the rigorous execution required in M&A transactions (Tampakoudis et al. 2021; Meckl and Theuerkorn 2015). In conclusion, the market appears to be overall undecided about the value-enhancing effects of CSR performance on M&A.
Our findings have important implications. First and foremost, the results of this study suggest that it is not rewarding for equity investors to pay attention to whether increased CSR investments have been made in potentially M&A-active German firms. CSR performance does not appear to be an effective predictor for the acquisition of companies in order to identify value-creating takeovers in Germany. Instead, our results suggest that CSR investments by acquirers imply both positive and negative effects that balance each other out in an M&A context. For fund managers, CSR investments are likewise not a positive trading signal that would promise excess returns, especially not in the run-up to an anticipated acquisition. Second, corporate decision-makers should not view CSR-related measures as value-adding investments. Finally, corporate decision makers should instead consider broader factors beyond CSR initiatives to create shareholder value (Yen and André 2019). They should evaluate the strategic rationale for M&A transactions and consider factors such as the strategic fit of the target company with the acquirer’s business, the impact of the transaction on the company’s overall financial performance, and the proper integration of the target.
Instead, and despite the presented findings of this study, CSR activities continue to be a central part of corporations’ visions and strategies (Cho et al. 2021). As stakeholders globally demand increasing and more detailed disclosure of information regarding a company’s social activities, awareness and sensibility for CSR aspects continue to become a more critical and established tool for companies’ strategic development. While CSR does not appear to pay off for shareholders, corporate leaders must address ongoing challenges such as climate change and increasing pressure from stakeholders to adopt more sustainable business practices. Therefore, German listed firms, specifically, and firms on an international scale should continue incorporating social, sustainable, and ethical standards into their investment decisions. Although CSR activities do not necessarily create immediate value for shareholders in the short run, they have become indispensable to sustainable development, as demanded by policymakers and other stakeholders alike. They could result in value creation in the long run.
Our study may be subject to several limitations, which could pave the way for future research. Initially, 231 corporate transactions were identified that fit the research design. However, many observations did not disclose data on the deal size, resulting in an unbalanced sample and limiting the sample size to 56 M&A transactions in the multiple linear regression model. Although the parties involved in a deal commonly do not disclose the transaction value, this cogitable practice resulted in a relatively small sample size. Thus, it is essential to understand that the research findings must be considered carefully, as they may lack generalizability and validity. This may call for future studies with larger sample sizes. In addition, the covered period (2017–2022) offers limited insights as further regulatory changes in German and European contexts only become apparent in the case of consistent longitudinal data collection. Moreover, analyzing the impact of CSR through ESG scores adds another limitation. The assessment might lack some accuracy due to the slight difference in the definition of CSR and ESG (Barros et al. 2022; Damtoft et al. 2024). However, using ESG scores as a proxy for CSR engagement is common practice in the related literature (e.g., Deng et al. 2013; Velte 2017; Broadstock et al. 2020; Tampakoudis et al. 2021; Barros et al. 2022) and allows for comparisons with former studies. Teti et al. (2022) added that ESG scores are composed of different factors, and disentangling these might lead to differentiated results. Furthermore, other previously applied measures of CSR, such as social audits or CEO surveys, have similar shortcomings. Thus, future research could address this issue by applying alternative measures of a firm’s CSR level, using the difference between an acquirer’s and a target’s CSR performance (Cho et al. 2021), or analyzing the proxies’ validity in general.
An additional limitation could arise from the low cross-company variation in ESG scores. The non-significant results in the regression model could be explained by the relatively low variation between companies in terms of their ESG scores, which makes differentiation difficult and negatively affects possible correlations in terms of significance. Additionally, our sample only contained transactions from German DAX-listed companies. While the German DAX index represents about 80% of the market capitalization of German stock-listed firms, it is still a limited focus. Furthermore, studies focusing on a single region may be subject to distinctive circumstances regarding firms’ CSR awareness and the regulatory landscape. Therefore, it would be interesting to investigate whether one can draw general conclusions for multiple markets or if research findings are only valid for the chosen region. Finally, we cannot control our results for the targets’ ESG scores due to a lack of data on privately held target companies representing most of the targets considered. Future research could add more empirical evidence by additionally considering targets’ CSR performance and investigating whether differences or similarities between ESG scores of the acquirer and the target influence announcement effects (Aktas et al. 2011; Cho et al. 2021; Tampakoudis and Anagnostopoulou 2020).
Against the background of these limitations, and with the literature remaining ambiguous, we suggest further research on the relationship between a company’s level of CSR and both short-term and long-term value creation and the motivation for firms to engage in CSR activities. In this context, collecting more longitudinal data and formulating universally valid statements is essential for researchers and managers. Also, a new study employing a similar research design conducted post implementation of the new EU Corporate Sustainability Reporting Directive (CSRD) from 2024 onward could shed light on the effects of enhanced CSR performance in EU companies on value creation. Finally, researching the relationship between M&A and CSR could be further explored by reversing the causal direction and analyzing the impact that M&A has on CSR (Barros et al. 2022).

Author Contributions

Conceptualization, M.C.; data curation, J.-L.W.; methodology, J.-L.W.; project administration, M.C.; supervision, M.C.; validation, T.A.H.; visualization, M.C. and T.A.H.; writing—original draft, J.-L.W.; writing—review and editing, M.C. and T.A.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data are available under reasonable request to the authors.

Conflicts of Interest

The authors declare that they have no competing interests.

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