{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T12:34:47Z","timestamp":1772195687299,"version":"3.50.1"},"reference-count":23,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T00:00:00Z","timestamp":1772150400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Natural disasters pose major challenges to economic development, yet empirical evidence on their growth effects remains mixed. This study examines whether the macroeconomic impact of disasters depends on infrastructure development, using electricity access as a conditioning variable. Employing a balanced panel of 108 countries from 1996 to 2022, we estimate a panel threshold regression to capture nonlinear disaster\u2013growth relationships. The results indicate that disaster impacts vary systematically across infrastructure regimes. In very low electricity-access contexts, disaster intensity is associated with short-run growth responses consistent with reconstruction-driven dynamics in a very limited subset of observations. Once basic electricity access is achieved, this association weakens and becomes statistically indistinguishable from zero. Beyond this lower regime, the analysis also reveals a broader structural transition in which disaster impacts gradually decouple from economic growth as infrastructure coverage expands. These findings suggest that disaster effects are nonlinear and contingent on development stage. By distinguishing between statistical thresholds and economically meaningful transition zones, the study reconciles mixed evidence in the disaster\u2013growth literature and highlights electricity access as a key determinant of economic resilience.<\/jats:p>","DOI":"10.3390\/systems14030243","type":"journal-article","created":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T10:41:02Z","timestamp":1772188862000},"page":"243","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Natural Disasters and Development Thresholds: Infrastructure, Nonlinearity, and Economic Resilience"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7440-5049","authenticated-orcid":false,"given":"Keisuke","family":"Kokubun","sequence":"first","affiliation":[{"name":"Graduate School of Management, Kyoto University, Kyoto 606-8501, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,27]]},"reference":[{"key":"ref_1","unstructured":"IPCC (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability, Cambridge University Press. Available online: https:\/\/www.ipcc.ch\/report\/ar6\/wg2\/."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"105624","DOI":"10.1016\/j.eneco.2021.105624","article-title":"Long-term macroeconomic effects of climate change","volume":"104","author":"Kahn","year":"2021","journal-title":"Energy Econ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1162\/REST_a_00413","article-title":"Catastrophic natural disasters and economic growth","volume":"95","author":"Cavallo","year":"2013","journal-title":"Rev. Econ. Stat."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.jdeveco.2008.02.005","article-title":"The macroeconomic consequences of disasters","volume":"88","author":"Noy","year":"2009","journal-title":"J. Dev. Econ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1093\/ei\/40.4.664","article-title":"Do natural disasters promote long-run growth?","volume":"40","author":"Skidmore","year":"2002","journal-title":"Econ. Inq."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1016\/j.worlddev.2012.03.002","article-title":"Natural disasters and growth","volume":"40","author":"Loayza","year":"2012","journal-title":"World Dev."},{"key":"ref_7","unstructured":"Calder\u00f3n, C., and Serv\u00e9n, L. (2014). Infrastructure, Growth, and Inequality, World Bank. Available online: http:\/\/documents.worldbank.org\/curated\/en\/322761468183548075."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1016\/j.jue.2007.05.003","article-title":"Does rising income increase or decrease damage risk from natural disasters?","volume":"63","author":"Kellenberg","year":"2008","journal-title":"J. Urban Econ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"501","DOI":"10.2307\/2937797","article-title":"Threshold externalities in economic development","volume":"105","author":"Azariadis","year":"1990","journal-title":"Q. J. Econ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Acemoglu, D., and Robinson, J.A. (2012). Why Nations Fail: The Origins of Power, Prosperity, and Poverty, Crown Publishers.","DOI":"10.1355\/ae29-2j"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/S0304-4076(99)00025-1","article-title":"Threshold effects in non-dynamic panels: Estimation, testing, and inference","volume":"93","author":"Hansen","year":"1999","journal-title":"J. Econom."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.jdeveco.2014.07.004","article-title":"Naturally negative: The growth effects of natural disasters","volume":"111","author":"Felbermayr","year":"2014","journal-title":"J. Dev. Econ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2343","DOI":"10.1007\/s11069-021-05140-7","article-title":"Approaches in research on flood risk perception and their importance in flood risk management: A review","volume":"111","author":"Lechowska","year":"2022","journal-title":"Nat. Hazards"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.jtrangeo.2015.05.006","article-title":"Assessing the role of network topology in transportation network resilience","volume":"46","author":"Zhang","year":"2015","journal-title":"J. Transp. Geogr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s43065-020-00008-9","article-title":"Resilience modeling concepts in transportation systems: A comprehensive review based on mode, and modeling techniques","volume":"1","author":"Ahmed","year":"2020","journal-title":"J. Infrastruct. Preserv. Resil."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.envsci.2022.04.015","article-title":"Adapting critical infrastructure to climate change: A scoping review","volume":"135","author":"Huddleston","year":"2022","journal-title":"Environ. Sci. Policy"},{"key":"ref_17","unstructured":"Centre for Research on the Epidemiology of Disasters (CRED) (2025). EM-DAT: The International Disaster Database, Universit\u00e9 Catholique de Louvain (UCLouvain). Available online: https:\/\/www.emdat.be."},{"key":"ref_18","unstructured":"World Bank (2025). World Development Indicators, World Bank. Available online: https:\/\/databank.worldbank.org\/source\/world-development-indicators."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Albala-Bertrand, J.M. (1993). Political Economy of Large Natural Disasters, Oxford University Press.","DOI":"10.1093\/oso\/9780198287650.001.0001"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Estache, A., and Fay, M. (2007). Current Debates on Infrastructure Policy, World Bank. Available online: http:\/\/documents.worldbank.org\/curated\/en\/131091468167946991.","DOI":"10.1596\/1813-9450-4410"},{"key":"ref_21","unstructured":"Stern, D.I., Burke, P.J., and Bruns, S.B. (2017). The Impact of Electricity on Economic Development: A Macroeconomic Perspective, University of California. Available online: https:\/\/escholarship.org\/uc\/item\/7jb0015q."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1561\/101.00000101","article-title":"The impact of electricity on economic development: A macroeconomic perspective","volume":"12","author":"Burke","year":"2018","journal-title":"Int. Rev. Environ. Resour. Econ."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Mthembu, B.E., Cele, T., and Mkhize, X. (2025). Climate Change Impacts on Agricultural Infrastructure and Resources: Insights from Communal Land Farming Systems. 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