IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v185y2024ics0301421523005232.html
   My bibliography  Save this article

When attention to climate change matters: The impact of climate risk disclosure on firm market value

Author

Listed:
  • Vestrelli, Roberto
  • Fronzetti Colladon, Andrea
  • Pisello, Anna Laura

Abstract

Concerns about climate change and its potential economic impact have prompted policymakers and institutions to introduce standards and principles to encourage the disclosure of company risks related to climate change. Past research demonstrated that such disclosure positively impacts firm stock prices. This study analyzes the magnitude and significance of climate risk disclosures within 10-K and 10-Q reports of U.S. companies through the application of novel methods in text mining and social network analysis. Furthermore, it measures the level of attention directed towards climate change at the firm level by analyzing transcripts from earnings conference calls. The study contributes to the literature by investigating the effect of climate risk disclosure on firm market value and considering where such disclosure occurs. The findings demonstrate a positive relationship between climate risk disclosures and firm value. However, this relationship can turn negative when the attention to climate change intensifies. The results of this study are of particular relevance for practitioners and policymakers who are provided with a novel instrument to quantify the magnitude of climate change risk disclosure in textual data. Regulators can identify firms particularly exposed to climate change and create incentives for disclosure, especially when firms may be disincentivized to share information about climate change risks.

Suggested Citation

  • Vestrelli, Roberto & Fronzetti Colladon, Andrea & Pisello, Anna Laura, 2024. "When attention to climate change matters: The impact of climate risk disclosure on firm market value," Energy Policy, Elsevier, vol. 185(C).
    • Handle: RePEc:eee:enepol:v:185:y:2024:i:c:s0301421523005232
    DOI: 10.1016/j.enpol.2023.113938
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421523005232
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2023.113938?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fronzetti Colladon, Andrea, 2018. "The Semantic Brand Score," Journal of Business Research, Elsevier, vol. 88(C), pages 150-160.
    2. Bento, Nuno & Gianfrate, Gianfranco, 2020. "Determinants of internal carbon pricing," Energy Policy, Elsevier, vol. 143(C).
    3. Nguyen, Quyen & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda, 2023. "In search of climate distress risk," International Review of Financial Analysis, Elsevier, vol. 85(C).
    4. Doidge, Craig & Karolyi, G. Andrew & Stulz, Rene M., 2004. "Why are foreign firms listed in the U.S. worth more?," Journal of Financial Economics, Elsevier, vol. 71(2), pages 205-238, February.
    5. Christopher Marquis & Michael W. Toffel & Yanhua Zhou, 2016. "Scrutiny, Norms, and Selective Disclosure: A Global Study of Greenwashing," Organization Science, INFORMS, vol. 27(2), pages 483-504, April.
    6. Benjamin Bennett & René M. Stulz & Zexi Wang, 2023. "Does Greater Public Scrutiny Hurt a Firm’s Performance?," NBER Working Papers 30858, National Bureau of Economic Research, Inc.
    7. Fisher-Vanden, Karen & Thorburn, Karin S., 2011. "Voluntary corporate environmental initiatives and shareholder wealth," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 430-445.
    8. Parveen P. Gupta & Kevin C.K. Lam & Heibatollah Sami & Haiyan Zhou, 2022. "Do religion and politics impact corporate governance diversity policy?," Asian Review of Accounting, Emerald Group Publishing Limited, vol. 30(1), pages 1-30, January.
    9. Caroline Flammer & Michael W. Toffel & Kala Viswanathan, 2021. "Shareholder activism and firms' voluntary disclosure of climate change risks," Strategic Management Journal, Wiley Blackwell, vol. 42(10), pages 1850-1879, October.
    10. Philipp KRÜGER, 2015. "Climate Change and Firm Valuation: Evidence from a Quasi-Natural Experiment," Swiss Finance Institute Research Paper Series 15-40, Swiss Finance Institute.
    11. Jiang, Yan & Luo, Le & Xu, JianFeng & Shao, XiaoRui, 2021. "The value relevance of corporate voluntary carbon disclosure: Evidence from the United States and BRIC countries," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).
    12. repec:eme:mrn000:eb028188 is not listed on IDEAS
    13. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    14. Fronzetti Colladon, Andrea, 2020. "Forecasting election results by studying brand importance in online news," International Journal of Forecasting, Elsevier, vol. 36(2), pages 414-427.
    15. Hain, Linda I. & Kölbel, Julian F. & Leippold, Markus, 2022. "Let’s get physical: Comparing metrics of physical climate risk," Finance Research Letters, Elsevier, vol. 46(PB).
    16. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    17. Hassan, Tarek & Hollander, Stephan & van Lent, Laurence & Schwedeler, Markus & Tahoun, Ahmed, 2020. "Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1," CEPR Discussion Papers 14573, C.E.P.R. Discussion Papers.
    18. Yang Bao & Anindya Datta, 2014. "Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures," Management Science, INFORMS, vol. 60(6), pages 1371-1391, June.
    19. Jiatao Li & Haoyuan Ding & Yichuan Hu & Guoguang Wan, 2021. "Dealing with dynamic endogeneity in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(3), pages 339-362, April.
    20. Bennett, Benjamin & Stulz, Rene M. & Wang, Zexi, 2023. "Does Greater Public Scrutiny Hurt a Firm's Performance?," Working Paper Series 2023-01, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    21. Laura Toschi & Elisa Ughetto & Andrea Fronzetti Colladon, 2023. "The identity of social impact venture capitalists: exploring social linguistic positioning and linguistic distinctiveness through text mining," Small Business Economics, Springer, vol. 60(3), pages 1249-1280, March.
    22. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    23. Venturini, Alessio, 2022. "Climate change, risk factors and stock returns: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 79(C).
    24. Philipp Krueger & Zacharias Sautner & Laura T Starks, 2020. "The Importance of Climate Risks for Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1067-1111.
    25. Yoo, Sunbin & Managi, Shunsuke, 2022. "Disclosure or action: Evaluating ESG behavior towards financial performance," Finance Research Letters, Elsevier, vol. 44(C).
    26. Mirko S. Heinle & Kevin C. Smith, 2017. "A theory of risk disclosure," Review of Accounting Studies, Springer, vol. 22(4), pages 1459-1491, December.
    27. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    28. Paul A. Griffin & David H. Lont & Estelle Y. Sun, 2017. "The Relevance to Investors of Greenhouse Gas Emission Disclosures," Contemporary Accounting Research, John Wiley & Sons, vol. 34(2), pages 1265-1297, June.
    29. Sebastian Kripfganz, 2016. "Quasi–maximum likelihood estimation of linear dynamic short-T panel-data models," Stata Journal, StataCorp LP, vol. 16(4), pages 1013-1038, December.
    30. Fauver, Larry & Hung, Mingyi & Li, Xi & Taboada, Alvaro G., 2017. "Board reforms and firm value: Worldwide evidence," Journal of Financial Economics, Elsevier, vol. 125(1), pages 120-142.
    31. Yu, Fan, 2005. "Accounting transparency and the term structure of credit spreads," Journal of Financial Economics, Elsevier, vol. 75(1), pages 53-84, January.
    32. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    33. Coles, Jeffrey L. & Daniel, Naveen D. & Naveen, Lalitha, 2008. "Boards: Does one size fit all," Journal of Financial Economics, Elsevier, vol. 87(2), pages 329-356, February.
    34. Piselli, C. & Fronzetti Colladon, A. & Segneri, L. & Pisello, A.L., 2022. "Evaluating and improving social awareness of energy communities through semantic network analysis of online news," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    35. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    36. Healy, Paul M. & Palepu, Krishna G., 2001. "Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 405-440, September.
    37. Bu, Caiqi & Zhang, Kaixia & Shi, Daqian & Wang, Shuyu, 2022. "Does environmental information disclosure improve energy efficiency?," Energy Policy, Elsevier, vol. 164(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caroline Flammer & Michael W. Toffel & Kala Viswanathan, 2021. "Shareholder activism and firms' voluntary disclosure of climate change risks," Strategic Management Journal, Wiley Blackwell, vol. 42(10), pages 1850-1879, October.
    2. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    3. Giorgio Canarella & Stephen M. Miller, 2019. "Determinants of Optimal Capital Structure and Speed of Adjustment: Evidence from the U.S. ICT Sector," Working papers 2019-06, University of Connecticut, Department of Economics.
    4. Hwang, Byoung-Hyoun & Kim, Hugh Hoikwang, 2017. "It pays to write well," Journal of Financial Economics, Elsevier, vol. 124(2), pages 373-394.
    5. Patrick J. Ferguson & Jane Hronsky & Matt Pinnuck, 2023. "Who pays attention to sustainability reports and why? Evidence from Google search activity," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 3519-3551, September.
    6. Suale Karimu, 2019. "Structural transformation, openness, and productivity growth in sub-Saharan Africa," WIDER Working Paper Series wp-2019-109, World Institute for Development Economic Research (UNU-WIDER).
    7. Martin Falk & Eva Hagsten & Xiang Lin, 2023. "Uneven domestic tourism demand in times of pandemic," Tourism Economics, , vol. 29(3), pages 596-611, May.
    8. Florian Eugster, 2020. "Endogeneity and the Dynamics of Voluntary Disclosure Quality: Is there Really an Effect on the Cost of Equity Capital?," Contemporary Accounting Research, John Wiley & Sons, vol. 37(4), pages 2590-2614, December.
    9. Nikos Vafeas & Adamos Vlittis, 2024. "Earnings quality and board meeting frequency," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 1037-1067, April.
    10. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    11. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    12. Samuel B. Bonsall & Brian P. Miller, 2017. "The impact of narrative disclosure readability on bond ratings and the cost of debt," Review of Accounting Studies, Springer, vol. 22(2), pages 608-643, June.
    13. Homroy, Swarnodeep, 2023. "GHG emissions and firm performance: The role of CEO gender socialization," Journal of Banking & Finance, Elsevier, vol. 148(C).
    14. Kim, Jongkyum & Lim, Jee-Hae & Yoon, Kyunghee, 2022. "How do the content, format, and tone of Twitter-based corporate disclosure vary depending on earnings performance?," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    15. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    16. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    17. Sugato Chakravarty & Chiraphol N. Chiyachantana & Christine Jiang, 2011. "THE CHOICE OF TRADING VENUE AND RELATIVE PRICE IMPACT OF INSTITUTIONAL TRADING: ADRs VERSUS THE UNDERLYING SECURITIES IN THEIR LOCAL MARKETS," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 34(4), pages 537-567, December.
    18. Chen, Chen & Hanlon, Dean & Khedmati, Mehdi & Wake, James, 2023. "Annual report readability and equity mispricing," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(3).
    19. Elizabeth Gordon & Elaine Henry & Marietta Peytcheva & Lili Sun, 2013. "Discretionary disclosure and the market reaction to restatements," Review of Quantitative Finance and Accounting, Springer, vol. 41(1), pages 75-110, July.
    20. Dewan Muktadir‐Al‐Mukit & Firoz Haroon Bhaiyat, 2024. "Impact of corporate governance diversity on carbon emission under environmental policy via the mandatory nonfinancial reporting regulation," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1397-1417, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:185:y:2024:i:c:s0301421523005232. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.