The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The impact of climate vulnerability on firms’ cost of capital and access to finance
Open accessAbstract
This article presents the first systematic investigation of the effects of climate-related vulnerability on firms’ cost of capital and access to finance and sheds light on a hitherto under-appreciated cost of climate change for climate vulnerable developing economies. We first show theoretically how climate vulnerability could affect firms’ cost of capital and access to finance. Apart from a possible impact on cost of debt and equity, which drive cost of capital, firms in countries with high exposure to climate risk might be more financially constrained. The latter results in low levels of debt relative to total assets or equity due to restricted access to finance. We then examine this issue empirically, using panel data of 15,265 firms in 71 countries over the period 1999–2017. We invoke panel data regressions and structural equation models, with firm-level data from the Thomson Reuters Eikon database and different measures of climate vulnerability based on the ND-GAIN climate vulnerability index. We construct a new climate vulnerability index and use panel instrumental variable regressions to address endogeneity problems. Our empirical findings suggest that climate vulnerability increases cost of debt directly and indirectly through its impact on restricting access to finance. However, we find limited evidence that climate vulnerability affects cost of equity. Our estimations suggest that the direct effect of climate vulnerability on the average increase in cost of debt from 1991 to 2017 has been 0.63%. In addition, the indirect effect through climate vulnerability’s impact on financial leverage has contributed an additional 0.05%.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Dhaliwal, D. S., Li, O. Z., Tsang, A., & Yang, Y. G. (2011) · The Accounting Review · doi:10.2308/accr.00000005 · Cited by 4,337
Does corporate social responsibility affect the cost of capital?
El Ghoul, S., Guedhami, O., Kwok, C. C. Y., & Mishra, D. R. (2011) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2011.02.007 · Cited by 3,465
Global non-linear effect of temperature on economic production
Burke, M., Hsiang, S. M., & Miguel, E. (2015) · Nature · doi:10.1038/nature15725 · Cited by 2,913
What Do We Learn from the Weather? The New Climate-Economy Literature
Dell, M., Jones, B. F., & Olken, B. A. (2014) · Journal of Economic Literature · doi:10.1257/jel.52.3.740 · Cited by 2,300
Environmental externalities and cost of capital
Chava, S. (2014) · Management Science · doi:10.1287/mnsc.2013.1863 · Cited by 1,851
Firm-value effects of carbon emissions and carbon disclosures
Matsumura, E. M., Prakash, R., & Vera-Muñoz, S. C. (2014) · The Accounting Review · doi:10.2308/accr-50629 · Cited by 1,681
Environmental risk management and the cost of capital
Sharfman, M. P., & Fernando, C. S. (2008) · Strategic Management Journal · doi:10.1002/smj.678 · Cited by 1,530
Does the Market Value Environmental Performance?
Konar, S., & Cohen, M. A. (2001) · Review of Economics and Statistics · doi:10.1162/00346530151143815 · Cited by 1,395
Catastrophic Natural Disasters and Economic Growth
Cavallo, E., Galiani, S., Noy, I., & Pantano, J. (2013) · The Review of Economics and Statistics · doi:10.1162/rest_a_00413 · Cited by 1,260
Geography and macroeconomics: New data and new findings
Nordhaus, W. D. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509842103 · Cited by 825
The impact of climate change on global tropical cyclone damage
Mendelsohn, R., Emanuel, K., Chonabayashi, S., & Bakkensen, L. (2012) · Nature Climate Change · doi:10.1038/nclimate1357 · Cited by 805
The impact of climate risk on firm performance and financing choices: An international comparison
Huang, H. H., Kerstein, J., & Wang, C. (2018) · Journal of International Business Studies · doi:10.1057/s41267-017-0125-5 · Cited by 784
The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies
Botzen, W. J. W., Deschenes, O., & Sanders, M. (2019) · Review of Environmental Economics and Policy · doi:10.1093/reep/rez004 · Cited by 751
Naturally negative: The growth effects of natural disasters
Felbermayr, G., & Gröschl, J. (2014) · Journal of Development Economics · doi:10.1016/j.jdeveco.2014.07.004 · Cited by 566
Sörbom, D. (1989) · Psychometrika · doi:10.1007/bf02294623 · Cited by 418
Discovering Structural Equation Modeling Using StataPreprint
Acock, A. C. (2013) · RePEc: Research Papers in Economics · Cited by 406
Natural disasters and economic growth: A meta-analysis
Klomp, J., & Valckx, K. (2014) · Global Environmental Change · doi:10.1016/j.gloenvcha.2014.02.006 · Cited by 354
Kompas, T., Pham, V. H., & Che, T. N. (2018) · Earth's Future · doi:10.1029/2018ef000922 · Cited by 324
Vulnerable Yet Relevant: The Two Dimensions of Climate-Related Financial Disclosure
Monasterolo, I., Battiston, S., Janetos, A. C., & Zheng, Z. (2017) · Climatic Change · doi:10.1007/s10584-017-2095-9 · Cited by 126
Long-Term Macroeconomic Effects of Climate Change: A Cross-Country Analysis
Kahn, M. E., Mohaddes, K., Ng, R. N. C., Pesaran, M. H., Raissi, M., & Yang, J. (2019) · National Bureau of Economic Research · doi:10.3386/w26167 · Cited by 122
The Impact of Climate Change Information: New Evidence from the Stock Market
Beatty, T. K. M., & Shimshack, J. P. (2010) · The B E Journal of Economic Analysis & Policy · doi:10.2202/1935-1682.2374 · Cited by 75
Equity Risk Premiums (ERP): Determinants, Estimation, and Implications – The 2022 EditionPreprint
Damodaran, A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4066060 · Cited by 40
A theory of operational cash holding, endogenous financial constraints, and credit rationing
Kling, G. (2016) · European Journal of Finance · doi:10.1080/1351847x.2016.1225590 · Cited by 29
Self-citationNatural Disaster Shocks and Macroeconomic Growth in Asia: Evidence for Typhoons and DroughtsPreprint
Alano, E., & Lee, M. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2894778 · Cited by 19
Long-Term Macroeconomic Effects of Climate Change: A Cross-Country Analysis
Kahn, M. E., Mohaddes, K., Ng, R. N. C., Pesaran, M. H., Raissi, M., Fund, I. M., & Yang, J.-C. (2019) · doi:10.24149/gwp365 · Cited by 17
Cited by
Low‐carbon transition risks for finance
Semieniuk, G., Campiglio, E., Mercure, J., Volz, U., & Edwards, N. R. (2021) · WIREs Climate Change · doi:10.1002/wcc.678 · Cited by 441
Self-citationKumar, S., Sharma, D., Rao, S., Lim, W. M., & Mangla, S. K. (2025) · Annals of Operations Research · doi:10.1007/s10479-021-04410-8 · Cited by 437
The momentum of the solar energy transition
Nijsse, F. J. M. M., Mercure, J.-F., Ameli, N., Larosa, F., Kothari, S., Rickman, J., Vercoulen, P., & Pollitt, H. (2023) · Nature Communications · doi:10.1038/s41467-023-41971-7 · Cited by 389
Perry, K. K. (2021) · Geoforum · doi:10.1016/j.geoforum.2021.09.003 · Cited by 109
Metadata
- Authors
- Kling, G., Volz, U., Murinde, V., & Ayas, S.
- Venue
- World Development
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 137
- Pages
- 105131
- ISSN
- 0305-750X (ISSN-L)
- OpenAlex
- W2967478895
- Cited by
- 411
- References
- 26
- FWCI
- 27.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.