Pub Date : 2024-09-01DOI: 10.1016/j.bar.2023.101236
This paper examines the effect of foreign bank entry on local firms' social performance. We find that foreign bank entry is associated with better performance of local firms in regard to corporate social responsibility (CSR). The effect is more pronounced when firms face less favorable financial conditions and when corporate governance is weaker. Meanwhile, the role of foreign banks in promoting CSR is stronger in firms subject to environmental concerns but weaker in firms with foreign institutional investors or CEOs with overseas experiences in place. Further analyses show that foreign bank entry significantly releases firms' financial constraints, reduces corporate risk, and improves CSR awareness, further verifying the three channels of how foreign banks increase firms’ CSR performance. These findings provide valuable insights into the consequence of financial liberalization by highlighting the important role of foreign banks as intermediaries in facilitating CSR practice globally.
{"title":"Exporting corporate social responsibility: Evidence from foreign bank entry","authors":"","doi":"10.1016/j.bar.2023.101236","DOIUrl":"10.1016/j.bar.2023.101236","url":null,"abstract":"<div><p>This paper examines the effect of foreign bank entry on local firms' social performance. We find that foreign bank entry is associated with better performance of local firms in regard to corporate social responsibility<span> (CSR). The effect is more pronounced when firms face less favorable financial conditions and when corporate governance is weaker. Meanwhile, the role of foreign banks in promoting CSR is stronger in firms subject to environmental concerns but weaker in firms with foreign institutional investors or CEOs with overseas experiences in place. Further analyses show that foreign bank entry significantly releases firms' financial constraints, reduces corporate risk, and improves CSR awareness, further verifying the three channels of how foreign banks increase firms’ CSR performance. These findings provide valuable insights into the consequence of financial liberalization by highlighting the important role of foreign banks as intermediaries in facilitating CSR practice globally.</span></p></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49208259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.bar.2024.101361
This study investigates whether and how changes in the information environment resulting from the issuance of comment letters during the initial public offering (IPO) process, as is newly implemented by stock exchanges in China, affect IPO quotes from institutional investors. We find a significant and negative association between IPO review intensity, measured as the number of comment letter questions issued by the stock exchange or the change in length between the initial and final prospectuses, and the number of quotes received by the firm from institutional investors. Further analyses reveal that IPO review intensity is negatively associated with the divergence of quotes received from institutional investors. Additional analyses reveal that institutional investors tend to pay more attention to questions indicating regulatory oversight than to questions requesting factual information disclosure. Overall, the findings of this study provide support for the hypothesis that the issuance of comment letters, as a part of the interaction between stock exchanges and equity-issuing firms during the IPO process, plays a significant oversight role and consequently influences investor decision-making.
{"title":"Stock exchange oversight and investor quotes: Evidence from initial public offering comment letters in China","authors":"","doi":"10.1016/j.bar.2024.101361","DOIUrl":"10.1016/j.bar.2024.101361","url":null,"abstract":"<div><p>This study investigates whether and how changes in the information environment resulting from the issuance of comment letters during the initial public offering (IPO) process, as is newly implemented by stock exchanges in China, affect IPO quotes from institutional investors. We find a significant and negative association between IPO review intensity, measured as the number of comment letter questions issued by the stock exchange or the change in length between the initial and final prospectuses, and the number of quotes received by the firm from institutional investors. Further analyses reveal that IPO review intensity is negatively associated with the divergence of quotes received from institutional investors. Additional analyses reveal that institutional investors tend to pay more attention to questions indicating regulatory oversight than to questions requesting factual information disclosure. Overall, the findings of this study provide support for the hypothesis that the issuance of comment letters, as a part of the interaction between stock exchanges and equity-issuing firms during the IPO process, plays a significant oversight role and consequently influences investor decision-making.</p></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0890838924001008/pdfft?md5=647d70fd4ce8c6c882c40602225774ee&pid=1-s2.0-S0890838924001008-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140279689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01DOI: 10.1016/j.bar.2023.101300
We examine the impact of political connections on the investment decisions of Chinese mutual funds. We identify a direct link between mutual funds' political connections and stocks held from the same political network using hand-collected information on the professional backgrounds of Chinese mutual fund managers and fund management company (FMC) shareholders. While mutual funds tend to allocate more investments to stocks based on their political connections, this effect alleviates somewhat after the 2012 anti-corruption campaign. Our findings suggest that anti-corruption campaigns can help reduce the political effects of government-related agencies on fund holdings and contribute to better market fairness.
{"title":"Political connections, corruption, and investment decisions of Chinese mutual funds","authors":"","doi":"10.1016/j.bar.2023.101300","DOIUrl":"10.1016/j.bar.2023.101300","url":null,"abstract":"<div><p>We examine the impact of political connections on the investment decisions of Chinese mutual funds. We identify a direct link between mutual funds' political connections and stocks held from the same political network using hand-collected information on the professional backgrounds of Chinese mutual fund managers and fund management company (FMC) shareholders. While mutual funds tend to allocate more investments to stocks based on their political connections, this effect alleviates somewhat after the 2012 anti-corruption campaign. Our findings suggest that anti-corruption campaigns can help reduce the political effects of government-related agencies on fund holdings and contribute to better market fairness.</p></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-23DOI: 10.1016/j.bar.2024.101467
Our study reveals that companies with higher Corporate Social Responsibility (CSR) ratings exhibit superior stock returns compared to their counterparts with lower ratings during periods of political uncertainty. This phenomenon is more pronounced in a closely contested election with a higher degree of unpredictability. Our results remain robust after addressing potential endogeneity issue and are not affected by the ex-post election outcome or the political donations made by firms. Further analysis indicates that the increase in returns could be attributed to the improved relationship between firms and their internal stakeholders. Overall, our research supports the notion that investing in social capital can facilitate the establishment of stronger relationships with stakeholders, which can ultimately lead to beneficial outcomes during periods of adversity.
{"title":"Political uncertainty, corporate social responsibility, and firm performance","authors":"","doi":"10.1016/j.bar.2024.101467","DOIUrl":"10.1016/j.bar.2024.101467","url":null,"abstract":"<div><div>Our study reveals that companies with higher Corporate Social Responsibility (CSR) ratings exhibit superior stock returns compared to their counterparts with lower ratings during periods of political uncertainty. This phenomenon is more pronounced in a closely contested election with a higher degree of unpredictability. Our results remain robust after addressing potential endogeneity issue and are not affected by the ex-post election outcome or the political donations made by firms. Further analysis indicates that the increase in returns could be attributed to the improved relationship between firms and their internal stakeholders. Overall, our research supports the notion that investing in social capital can facilitate the establishment of stronger relationships with stakeholders, which can ultimately lead to beneficial outcomes during periods of adversity.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0890838924002312/pdfft?md5=d3ab03d8392523893e0442f83d23c159&pid=1-s2.0-S0890838924002312-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-22DOI: 10.1016/j.bar.2024.101463
In this paper, considering the difference in the energy demand level, we utilize the daily pricing data from 10/01/2019 to 06/30/2023 to construct mimicking crypto portfolios with 12 clean cryptocurrencies to replace the dirty cryptocurrency, Bitcoin (BTC). With a monthly rebalancing strategy, the mimicking portfolio closely matches the exposures to the risk factors of the BTC but with fewer specific risks. Furthermore, relying on the bivariate dynamic conditional correlation (DCC-) GARCH model, we compare the hedging capability of BTC and the corresponding mimicking crypto portfolio against movements of returns of sustainable assets. The empirical results show that the mimicking crypto portfolio provides ESG investors with a cheaper hedge tool of higher hedge effectiveness compared to the BTC. Moreover, we find that the mimicking crypto portfolio can act as a strong safe haven for the S&P Global Clean Energy Index and S&P Latin America Emerging LargeMidCap ESG Index during periods of market stress. Therefore, the mimicking crypto portfolio is a more attractive option for ESG investors due to its superior hedging efficiency and the added environmental advantages.
{"title":"Mimicking crypto portfolios in sustainable investment","authors":"","doi":"10.1016/j.bar.2024.101463","DOIUrl":"10.1016/j.bar.2024.101463","url":null,"abstract":"<div><div>In this paper, considering the difference in the energy demand level, we utilize the daily pricing data from 10/01/2019 to 06/30/2023 to construct mimicking crypto portfolios with 12 clean cryptocurrencies to replace the dirty cryptocurrency, Bitcoin (BTC). With a monthly rebalancing strategy, the mimicking portfolio closely matches the exposures to the risk factors of the BTC but with fewer specific risks. Furthermore, relying on the bivariate dynamic conditional correlation (DCC-) GARCH model, we compare the hedging capability of BTC and the corresponding mimicking crypto portfolio against movements of returns of sustainable assets. The empirical results show that the mimicking crypto portfolio provides ESG investors with a cheaper hedge tool of higher hedge effectiveness compared to the BTC. Moreover, we find that the mimicking crypto portfolio can act as a strong safe haven for the S&P Global Clean Energy Index and S&P Latin America Emerging LargeMidCap ESG Index during periods of market stress. Therefore, the mimicking crypto portfolio is a more attractive option for ESG investors due to its superior hedging efficiency and the added environmental advantages.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0890838924002270/pdfft?md5=c977104002f95322f9c0f54de4b08f26&pid=1-s2.0-S0890838924002270-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-14DOI: 10.1016/j.bar.2024.101458
The COVID-19 pandemic resulted in an extremely rare instance of a shock to global product markets. Using quarterly data for a sample of 7397 firms from 54 countries over the period 2017–2020, we study the causal impact of this shock on trade credit. Employing a difference-in-difference analysis, we find that, in contrast to findings in the literature on financial market shocks, low-credit quality firms are credit-rationed by their suppliers during a shock to product markets and that for low-credit quality firms, there is no substitution of trade credit with financial credit. Importantly, however, our analysis shows that low-credit quality firms with better stakeholder relations are able to obtain more trade credit than those with weaker stakeholder relations. Our results are robust to alternative definitions of key variables, alternative methodologies that address endogeneity concerns, a placebo test, stage of market development, and various levels of controls for unobserved heterogeneity. We show that trade credit is conditional on product market conditions and is not always a generous substitute for financial credit. However, maintaining good relations with stakeholders serves as an antidote to the adverse effect of product market shocks on trade credit.
{"title":"Product market shock, stakeholder relationships, and trade credit","authors":"","doi":"10.1016/j.bar.2024.101458","DOIUrl":"10.1016/j.bar.2024.101458","url":null,"abstract":"<div><div>The COVID-19 pandemic resulted in an extremely rare instance of a shock to global product markets. Using quarterly data for a sample of 7397 firms from 54 countries over the period 2017–2020, we study the causal impact of this shock on trade credit. Employing a difference-in-difference analysis, we find that, in contrast to findings in the literature on financial market shocks, low-credit quality firms are credit-rationed by their suppliers during a shock to product markets and that for low-credit quality firms, there is no substitution of trade credit with financial credit. Importantly, however, our analysis shows that low-credit quality firms with better stakeholder relations are able to obtain more trade credit than those with weaker stakeholder relations. Our results are robust to alternative definitions of key variables, alternative methodologies that address endogeneity concerns, a placebo test, stage of market development, and various levels of controls for unobserved heterogeneity. We show that trade credit is conditional on product market conditions and is not always a generous substitute for financial credit. However, maintaining good relations with stakeholders serves as an antidote to the adverse effect of product market shocks on trade credit.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0890838924002221/pdfft?md5=17f806cbc0dff2f3ef0c625b8a7b510c&pid=1-s2.0-S0890838924002221-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142045849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-14DOI: 10.1016/j.bar.2024.101462
Using a large sample of U.S. firms from 2002 to 2020, we investigate the relationship between corporate culture and the extent of carbon emissions. We provide evidence that the quantum of carbon emissions is negatively associated with corporate cultural attributes manifested by integrity, teamwork, innovation, and respect. These results hold after controlling for potential endogeneity issues using several identification techniques. We also document that the negative culture–emissions relationship is magnified in firms with weak corporate governance and in those operating in environmentally sensitive industries. Additionally, this relationship is less salient in the presence of social capital. Finally, we demonstrate that in firms with a stronger culture, elevated carbon emissions result in a lower firm value. Our findings may be of interest to environmental regulators and management in their pursuit of firm-level carbon emission targets.
{"title":"Corporate culture and carbon emission performance","authors":"","doi":"10.1016/j.bar.2024.101462","DOIUrl":"10.1016/j.bar.2024.101462","url":null,"abstract":"<div><div>Using a large sample of U.S. firms from 2002 to 2020, we investigate the relationship between corporate culture and the extent of carbon emissions. We provide evidence that the quantum of carbon emissions is negatively associated with corporate cultural attributes manifested by integrity, teamwork, innovation, and respect. These results hold after controlling for potential endogeneity issues using several identification techniques. We also document that the negative culture–emissions relationship is magnified in firms with weak corporate governance and in those operating in environmentally sensitive industries. Additionally, this relationship is less salient in the presence of social capital. Finally, we demonstrate that in firms with a stronger culture, elevated carbon emissions result in a lower firm value. Our findings may be of interest to environmental regulators and management in their pursuit of firm-level carbon emission targets.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0890838924002269/pdfft?md5=e92888a5dafa7700ee6273fe8bf8a7ba&pid=1-s2.0-S0890838924002269-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-11DOI: 10.1016/j.bar.2024.101461
This study tests the information leakage hypothesis prior to the public announcement of firms switching between the Alternative Investment Market (AIM) and the Main Market (MM) in the UK. We find significant abnormal stock returns 60 trading days prior to the announcement of these switches. The results are robust after controlling for switching anticipation, rumors, other major corporate announcements, and firm performance one year prior to the switch. We also show that having a reputable Nominated Adviser (Nomad) significantly moderates the abnormal stock returns prior to market switches. However, this effect does not hold when Nomads also act as brokers in firms that switch markets. Overall, these findings provide novel evidence about abnormal stock returns prior to the announcement of market switches in the UK and the role of Nomads. As such, we shed light on the significance and the limits of decentralized regulation on informed trading activity.
{"title":"Information leakage prior to market switches and the importance of Nominated Advisers","authors":"","doi":"10.1016/j.bar.2024.101461","DOIUrl":"10.1016/j.bar.2024.101461","url":null,"abstract":"<div><div>This study tests the information leakage hypothesis prior to the public announcement of firms switching between the Alternative Investment Market (AIM) and the Main Market (MM) in the UK. We find significant abnormal stock returns 60 trading days prior to the announcement of these switches. The results are robust after controlling for switching anticipation, rumors, other major corporate announcements, and firm performance one year prior to the switch. We also show that having a reputable Nominated Adviser (Nomad) significantly moderates the abnormal stock returns prior to market switches. However, this effect does not hold when Nomads also act as brokers in firms that switch markets. Overall, these findings provide novel evidence about abnormal stock returns prior to the announcement of market switches in the UK and the role of Nomads. As such, we shed light on the significance and the limits of decentralized regulation on informed trading activity.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142100792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-08DOI: 10.1016/j.bar.2024.101457
This study has two primary objectives. Firstly, it enhances the reliability and transparency of machine-learning-based models for predicting future changes in environmental, social and governance (ESG) performance. Secondly, it explores the relationship between ex-ante expected changes in ESG and future stock returns. This study collects 3258 STOXX Europe 600 firm-year observations. In the ESG prediction phase, two machine learning algorithms (logistic regression and random forest) are utilised to develop ESG forecasting models. Hyperparameter optimisation and walk-forward validation techniques are employed to address issues of underestimation and information leakage. The machine-learning-based ESG forecasting models are evaluated using three metrics: accuracy, area under the curve (AUC) and area under the precision-recall curve (AUPR). Subsequently, this study investigates the relationship between ex-ante expected ESG changes and future stock returns using the predicted ESG changes. A positive correlation is found between ex-ante expected ESG changes and future stock returns. The supplementary tests also reveal that this positive relationship is highly and statistically significant among large firms and after the COVID-19 pandemic. Moreover, this study introduces a robust and transparent approach for constructing effective machine-learning-based ESG forecasting models using hyperparameter optimisation and walk-forward validation. Additionally, traditional regression analyses are modernised by incorporating machine-learning-predicted independent variables. Furthermore, the findings provide empirical support for stakeholder, agency and resource-based theories. Finally, practical insights are provided to facilitate ESG-focused investment portfolio decision making.
{"title":"Ex-ante expected changes in ESG and future stock returns based on machine learning","authors":"","doi":"10.1016/j.bar.2024.101457","DOIUrl":"10.1016/j.bar.2024.101457","url":null,"abstract":"<div><div>This study has two primary objectives. Firstly, it enhances the reliability and transparency of machine-learning-based models for predicting future changes in environmental, social and governance (ESG) performance. Secondly, it explores the relationship between ex-ante expected changes in ESG and future stock returns. This study collects 3258 STOXX Europe 600 firm-year observations. In the ESG prediction phase, two machine learning algorithms (logistic regression and random forest) are utilised to develop ESG forecasting models. Hyperparameter optimisation and walk-forward validation techniques are employed to address issues of underestimation and information leakage. The machine-learning-based ESG forecasting models are evaluated using three metrics: accuracy, area under the curve (AUC) and area under the precision-recall curve (AUPR). Subsequently, this study investigates the relationship between ex-ante expected ESG changes and future stock returns using the predicted ESG changes. A positive correlation is found between ex-ante expected ESG changes and future stock returns. The supplementary tests also reveal that this positive relationship is highly and statistically significant among large firms and after the COVID-19 pandemic. Moreover, this study introduces a robust and transparent approach for constructing effective machine-learning-based ESG forecasting models using hyperparameter optimisation and walk-forward validation. Additionally, traditional regression analyses are modernised by incorporating machine-learning-predicted independent variables. <span>Furthermore</span>, the findings provide empirical support for stakeholder, agency and resource-based theories. Finally, practical insights are provided to facilitate ESG-focused investment portfolio decision making.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-08DOI: 10.1016/j.bar.2024.101453
This paper explores how the uncertainty surrounding economic policies affects the decisions managers make, particularly with reference to carbon emissions. Notably, this is a pioneering effort as very few studies have examined the influence of economic policy uncertainty on decisions about either carbon emissions or renewable energy, and, in turn, the impact of these decisions on firm value. From a sample spanning 22 countries over the period 2007 to 2018, our results show that, while carbon emissions increase with policy uncertainty, this relationship is mediated by renewable energy consumption. Country factors such as climate change performance, emissions trading schemes, and business culture also affect this relationship. In countries where economic policy uncertainty tends to be high, firms generally have a lower market value, due in part to higher levels of carbon emissions. These findings highlight the importance of connecting policy uncertainty to decisions about carbon emissions and renewable energy. They also provide insights into the detrimental effects of policy uncertainty on firm value.
{"title":"Economic policy uncertainty, carbon emissions and firm valuation: International evidence","authors":"","doi":"10.1016/j.bar.2024.101453","DOIUrl":"10.1016/j.bar.2024.101453","url":null,"abstract":"<div><div>This paper explores how the uncertainty surrounding economic policies affects the decisions managers make, particularly with reference to carbon emissions. Notably, this is a pioneering effort as very few studies have examined the influence of economic policy uncertainty on decisions about either carbon emissions or renewable energy, and, in turn, the impact of these decisions on firm value. From a sample spanning 22 countries over the period 2007 to 2018, our results show that, while carbon emissions increase with policy uncertainty, this relationship is mediated by renewable energy consumption. Country factors such as climate change performance, emissions trading schemes, and business culture also affect this relationship. In countries where economic policy uncertainty tends to be high, firms generally have a lower market value, due in part to higher levels of carbon emissions. These findings highlight the importance of connecting policy uncertainty to decisions about carbon emissions and renewable energy. They also provide insights into the detrimental effects of policy uncertainty on firm value.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":null,"pages":null},"PeriodicalIF":5.5,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0890838924002178/pdfft?md5=1a129897c9232ef2e8e9e57d731027f7&pid=1-s2.0-S0890838924002178-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141994709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号