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Financial effects of natural disasters: a bibliometric analysis

Author

Listed:
  • Jorge Sepúlveda-Velásquez

    (Universidad Santo Tomás)

  • Pablo Tapia-Griñen

    (University of Chile)

  • Boris Pastén-Henríquez

    (Universidad Santo Tomás)

Abstract

Natural disasters continue to increase in frequency and severity, bringing about ever-increasing interest in studying their financial consequences in order to contribute evidence to support the efforts of policy makers in coping with future catastrophes. Through a bibliometric and time series study, we examine the current status and trend of research related to the financial effects of natural disasters. We find evidence that pandemics have become a part of this line of research mainly due to the dissemination of COVID-19. Since the Paris Agreement and the Sustainable Development Goals (SDGs) by the United Nations came into force in 2015, there has been a marked growth of related articles, suggesting that this type of event may favor scientific output related to natural catastrophes, with special emphasis on those derived from climate change and its impact on financial markets.

Suggested Citation

  • Jorge Sepúlveda-Velásquez & Pablo Tapia-Griñen & Boris Pastén-Henríquez, 2023. "Financial effects of natural disasters: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(3), pages 2691-2710, September.
  • Handle: RePEc:spr:nathaz:v:118:y:2023:i:3:d:10.1007_s11069-023-06105-8
    DOI: 10.1007/s11069-023-06105-8
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    as
    1. Kowalewski, Oskar & Śpiewanowski, Piotr, 2020. "Stock market response to potash mine disasters," Journal of Commodity Markets, Elsevier, vol. 20(C).
    2. Dim Coumou & Alexander Robinson & Stefan Rahmstorf, 2013. "Global increase in record-breaking monthly-mean temperatures," Climatic Change, Springer, vol. 118(3), pages 771-782, June.
    3. Strong, Maurice F., 1992. "Energy, environment and development," Energy Policy, Elsevier, vol. 20(6), pages 490-494, June.
    4. Jascha Lehmann & Dim Coumou & Katja Frieler, 2015. "Increased record-breaking precipitation events under global warming," Climatic Change, Springer, vol. 132(4), pages 501-515, October.
    5. Nikola Panic & Emanuele Leoncini & Giulio de Belvis & Walter Ricciardi & Stefania Boccia, 2013. "Evaluation of the Endorsement of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Statement on the Quality of Published Systematic Review and Meta-Analyses," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-7, December.
    6. Noy, Ilan, 2009. "The macroeconomic consequences of disasters," Journal of Development Economics, Elsevier, vol. 88(2), pages 221-231, March.
    7. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    8. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate Change, Financial Stability and Monetary Policy," Ecological Economics, Elsevier, vol. 152(C), pages 219-234.
    9. Zhao, Xin-Xin & Zheng, Mingbo & Fu, Qiang, 2022. "How natural disasters affect energy innovation? The perspective of environmental sustainability," Energy Economics, Elsevier, vol. 109(C).
    10. Huchang Liao & Ming Tang & Li Luo & Chunyang Li & Francisco Chiclana & Xiao-Jun Zeng, 2018. "A Bibliometric Analysis and Visualization of Medical Big Data Research," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    11. Sabina Scarpellini & Luz María Marín-Vinuesa & Alfonso Aranda-Usón & Pilar Portillo-Tarragona, 2020. "Dynamic capabilities and environmental accounting for the circular economy in businesses," Sustainability Accounting, Management and Policy Journal, Emerald Group Publishing Limited, vol. 11(7), pages 1129-1158, January.
    12. Enrique Orduña-Malea & Rodrigo Costas, 2021. "Link-based approach to study scientific software usage: the case of VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8153-8186, September.
    13. Beth Barnes & Sarah Dunn & Sean Wilkinson, 2019. "Natural hazards, disaster management and simulation: a bibliometric analysis of keyword searches," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 813-840, June.
    14. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    15. Chesney, Marc & Reshetar, Ganna & Karaman, Mustafa, 2011. "The impact of terrorism on financial markets: An empirical study," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 253-267, February.
    16. Yizhe Dong & Wenxuan Hou & Binxuan Lin & Ting Zhang, 2022. "Recent advances and future directions in macro-finance: macroeconomic conditions and corporate decisions," The European Journal of Finance, Taylor & Francis Journals, vol. 28(4-5), pages 307-313, March.
    17. Zhang, Dayong & Zhang, Zhiwei & Managi, Shunsuke, 2019. "A bibliometric analysis on green finance: Current status, development, and future directions," Finance Research Letters, Elsevier, vol. 29(C), pages 425-430.
    18. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    19. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    20. Johar, Meliyanni & Johnston, David W. & Shields, Michael A. & Siminski, Peter & Stavrunova, Olena, 2022. "The economic impacts of direct natural disaster exposure," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 26-39.
    21. Kuo-Jung Lee & Su-Lien Lu & You Shih, 2018. "Contagion Effect of Natural Disaster and Financial Crisis Events on International Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-25, March.
    22. Thomas Walker & Yixin Xu & Dieter Gramlich & Yunfei Zhao, 2022. "The impact of natural disasters on the performance and solvency of US banks," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 19(1), pages 136-154, January.
    23. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    24. Thomas Walker & Yixin Xu & Dieter Gramlich & Yunfei Zhao, 2022. "The impact of natural disasters on the performance and solvency of US banks," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 19(1), pages 136-154, January.
    25. Jushan Bai & Pierre Perron, 2003. "Critical values for multiple structural change tests," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 72-78, June.
    26. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    27. Donald W. K. Andrews, 2003. "Tests for Parameter Instability and Structural Change with Unknown Change Point: A Corrigendum," Econometrica, Econometric Society, vol. 71(1), pages 395-397, January.
    28. Toya, Hideki & Skidmore, Mark, 2007. "Economic development and the impacts of natural disasters," Economics Letters, Elsevier, vol. 94(1), pages 20-25, January.
    29. Wan-Li Zhang & Chun-Ping Chang & Yang Xuan, 2022. "The impacts of climate change on bank performance: What’s the mediating role of natural disasters?," Economic Change and Restructuring, Springer, vol. 55(3), pages 1913-1952, August.
    30. Berlemann, Michael & Eurich, Marina, 2021. "Natural hazard risk and life satisfaction – Empirical evidence for hurricanes," Ecological Economics, Elsevier, vol. 190(C).
    31. Jascha Lehmann & Dim Coumou & Katja Frieler, 2015. "Erratum to: increased record-breaking precipitation events under global warming," Climatic Change, Springer, vol. 132(4), pages 517-518, October.
    32. Pagnottoni, Paolo & Spelta, Alessandro & Flori, Andrea & Pammolli, Fabio, 2022. "Climate change and financial stability: Natural disaster impacts on global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    33. Sawada, Yasuyuki & Takasaki, Yoshito, 2017. "Natural Disaster, Poverty, and Development: An Introduction," World Development, Elsevier, vol. 94(C), pages 2-15.
    34. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    35. Sabina Scarpellini & Luz María Marín-Vinuesa & Alfonso Aranda-Usón & Pilar Portillo-Tarragona, 2020. "Dynamic capabilities and environmental accounting for the circular economy in businesses," Sustainability Accounting, Management and Policy Journal, Emerald Group Publishing Limited, vol. 11(7), pages 1129-1158, January.
    36. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    37. H. Kent Baker & Satish Kumar & Debidutta Pattnaik, 2020. "Fifty years of The Financial Review: A bibliometric overview," The Financial Review, Eastern Finance Association, vol. 55(1), pages 7-24, February.
    38. Vikrant Panwar & Subir Sen, 2019. "Economic Impact of Natural Disasters: An Empirical Re-examination," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 13(1), pages 109-139, February.
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    Cited by:

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    More about this item

    Keywords

    Natural disasters; Financial impact; Bibliometric analysis;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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