Economic Impact Of Natural Disasters Research Articles

Economic Impact of Natural Disasters Under the New Normal of Climate Change: The Role of Green Technologies

Economic Impact of Natural Disasters Under the New Normal of Climate Change: The Role of Green Technologies

The lack of property rights can make natural disasters worse: The case of small-scale fisheries in Chile

Developing countries tend to suffer the most from natural disasters, but the mechanisms underlying this outcome are poorly understood. In this paper, I study one of the potential mechanisms behind this pattern: the lack of strong and well-defined property rights for renewable resources. Using fisheries as an example, I examine how different property rights regimes dictating who has access to the resource could determine the overall exposure, as well as the cost of the rebuilding paths that fishers follow after a natural disaster. Using small-scale fisheries in Chile as a case study, I show that fisheries operating in common access are on average more exposed and also follow costlier recovery paths after the tsunami that hit the country in 2010. This paper contributes to the ongoing work on the economic impact of natural disasters and provides an argument for further study of how institutional regimes can be also understood as potential adaptation strategies.

Economic impact of natural disasters, spillovers, and role of human development: case of Indonesia

Economic impact of natural disasters, spillovers, and role of human development: case of Indonesia

The Local Economic Impact of Natural Disasters

We use county panel data to study the dynamic responses of local economies after natural disasters in the U.S. Specifically, we estimate disaster impulse response functions for personal income per capita and a broad range of other economic outcomes, using a panel version of the local projections estimator. In contrast to some recent cross-country studies, we find that disasters increase total and per capita personal income over the longer-run (as of 8 years out). The effect is driven initially largely by a temporary employment boost and in the longer run by an increase in average weekly wages. We then assess the heterogeneity of disaster impacts across several dimensions. We find that the longer-run increase in income per capita rises with disaster severity, as measured by monetary damages. Hurricanes, tornados, and fires yield longer run increases in income, while floods do not. The longer run increase in income tends to rise with recent disaster experience and is absent for counties with no recent experience. Finally, a spatial spillover analysis suggests that, while over the short- to medium-run, the regional and local impacts of disasters on personal income are similar, over the longer run the net regional effect may be negative, in contrast to the positive local effect.

Application of Geographic Information Systems (GIS) for Measuring the Impact Income Vulnerability on Rural Households: A Case Study of the 2010 Floods in Pakistan

While the economic impact of natural disasters has been studied extensively, there are rather few studies that have addressed their impact on household income. This research tries to fill this gap by analyzing their actual effect on household income caused by the 2010 floods. We look at the impact of natural disasters on rural households in Pakistan after a massive flooding event in 2010. We used the difference-in-difference (DID) approach, which showed statistical significance at 1 percent. We also calculated the household distance from the rivers to see how vulnerable household income is to such kinds of shock-like floods. The results showed that the sample households living near had more impact as compared to the ones living far. Stata and Geographical Information System (GIS) software packages have been used for regression analysis and calculation of distance, respectively. This research will not only give insight in order to understand household income losses but will allow government, policymakers, and International Aid agencies to plan, make countermeasure strategies before designing post-disaster projects. After taking into account the effect of floods, which tend to have far more impact on the households, which are located near the source of the flooding. In this case, they need to focus more in terms of reconstruction of infrastructure, particularly for the households which are near these flooded areas. Firstly, this finding can give policymakers insight in terms of strategies to develop agriculture and non-agriculture employment opportunities. Secondly, it is essential to reduce income vulnerability and improve rural household finance economic conditions.

How to Integrate Labor Disruption into an Economic Impact Evaluation Model for Postdisaster Recovery Periods.

Evaluating the economic impacts caused by capital destruction is an effective method for disaster management and prevention, but the magnitude of the economic impact of labor disruption on an economic system remains unclear. This article emphasizes the importance of considering labor disruption when evaluating the economic impact of natural disasters. Based on the principle of disasters and resilience theory, our model integrates nonlinear recovery of labor losses and the demand of labor from outside the disaster area into the dynamic evaluation of the economic impact in the postdisaster recovery period. We exemplify this through a case study: the flood disaster that occurred in Wuhan city, China, on July 6, 2016 (the "7.6 Wuhan flood disaster"). The results indicate that (i) the indirect economic impacts of the "7.6 Wuhan flood disaster" will underestimate 15.12% if we do not consider labor disruption; (ii) the economic impact in secondary industry caused by insufficient labor forces accounts for 42.27% of its total impact, while that in the tertiary industry is 36.29%, which can cause enormous losses if both industries suffer shocks; and (iii) the agricultural sector of Wuhan city experiences an increase in output demand of 0.07% that is created by the introduction of 50,000 short-term laborers from outside the disaster area to meet the postdisaster reconstruction need. These results provide evidence for the important role of labor disruption and prove that it is a nonnegligible component of postdisaster economic recovery and postdisaster reduction.

Economic Impact of Natural Disasters: An Empirical Re-examination

Natural disasters cause serious economic and human losses. Yet there remains ambiguity in the existing literature with regard to their impact on the economy at large. This study re-examines the relationship between natural disasters and economic growth. It aims to contribute to a fairly limited literature on the economy-wide and sector-specific consequences of natural disasters in the short-to-medium term (up to 5 years). Further, it examines whether the disaster impacts are dependent on a country’s level of development. Based on panel data consisting of 102 (29 developed and 73 developing) countries over the period 1981–2015, it looks at the growth effects of four types of natural disasters, namely, floods, droughts, storms and earthquakes that were explored using the system generalised method of moments (GMM) approach. The results indicate that natural disasters have diverse economic impacts across economic sectors depending on disaster types and their intensity. The study confirms the findings of previous studies that the economic impacts of natural disasters are statistically stronger in developing countries. These findings may stimulate the policymakers especially in developing countries to explore the efficacy of viable ex-ante disaster risk financing tools (such as insurance, micro-insurance and catastrophic bonds). This would not only safeguard population and physical assets but also ensure adherence to the sustainable development goals. JEL Classification: Q54, O10

Comparing the Economic Impact of Natural Disasters Generated by Different Input-Output Models: An Application to the 2007 Chehalis River Flood (WA).

Due to the concentration of assets in disaster-prone zones, changes in risk landscape and in the intensity of natural events, property losses have increased considerably in recent decades. While measuring these stock damages is common practice in the literature, the assessment of economic ripple effects due to business interruption is still limited and available estimates tend to vary significantly across models. This article focuses on the most popular single-region input-output models for disaster impact evaluation. It starts with the traditional Leontief model and then compares its assumptions and results with more complex methodologies (rebalancing algorithms, the sequential interindustry model, the dynamic inoperability input-output model, and its inventory counterpart). While the estimated losses vary across models, all the figures are based on the same event, the 2007 Chehalis River flood that impacted three rural counties in Washington State. Given that the large majority of floods take place in rural areas, this article gives the practitioner a thorough review of how future events can be assessed and guidance on model selection.

The Economic Impact of Natural Disasters in Pacific Island Countries: Adaptation and Preparedness

Pacific island countries are highly vulnerable to various natural disasters which are destructive, unpredictable and occur frequently. The frequency and scale of these shocks heightens the importance of medium-term economic and fiscal planning to minimize the adverse impact of disasters on economic development. This paper identifies the intensity of natural disasters for each country in the Pacific based on the distribution of damage and population affected by disasters, and estimates the impact of disasters on economic growth and international trade using a panel regression. The results show that “severe” disasters have a significant and negative impact on economic growth and lead to a deterioration of the fiscal and trade balance. We also find that the negative impact on growth is stronger for more intense disasters. Going further this paper proposes a simple and consistent method to adjust IMF staff’s economic projections and debt sustainability analysis for disaster shocks for the Pacific islands. Better incorporating the economic impact of natural disasters in the medium- and long-term economic planning would help policy makers improve fiscal policy decisions and to be better adapted and prepared for natural disasters.

The Economic Impact of Natural Disasters in Pacific Island Countries: Adaptation and Preparedness

Pacific island countries are highly vulnerable to various natural disasters which are destructive, unpredictable and occur frequently. The frequency and scale of these shocks heightens the importance of medium-term economic and fiscal planning to minimize the adverse impact of disasters on economic development. This paper identifies the intensity of natural disasters for each country in the Pacific based on the distribution of damage and population affected by disasters, and estimates the impact of disasters on economic growth and international trade using a panel regression. The results show that 'severe' disasters have a significant and negative impact on economic growth and lead to a deterioration of the fiscal and trade balance. We also find that the negative impact on growth is stronger for more intense disasters. Going further this paper proposes a simple and consistent method to adjust IMF staff's economic projections and debt sustainability analysis for disaster shocks for the Pacific islands. Better incorporating the economic impact of natural disasters in the medium- and long-term economic planning would help policy makers improve fiscal policy decisions and to be better adapted and prepared for natural disasters.

Applicability of a spatial computable general equilibrium model to assess the short-term economic impact of natural disasters

ABSTRACTComputable general equilibrium (CGE) models have been widely used to assess the economic impact of natural disasters, but the models have not been fully validated by applying them to real disasters. This study focuses on validating a model for use in a short-run case in which the functional recovery of infrastructure and businesses occurred on a time scale of a few months. A special attempt is made to determine the parameter values of elasticity of substitutions, which play an important role in the effect on supply chains. In this study, a spatial CGE model, in which Japan is divided into nine regions, is constructed and applied to the case of the 2011 Great East Japan Earthquake and Tsunami. Through this application, the best estimates of the elasticity parameters generated relatively consistent estimates of production change compared with the observed change, both in severely affected regions and in other regions.

Stationarity of major flood frequencies and heights on the Ba River, Fiji, over a 122‐year record

ABSTRACTThe economic impact of natural disasters on developing economies can be severe with the recovery diverting scarce funds that might otherwise be targeted at development projects and stimulating the need for international aid. In view of the likely sensitivity of low‐lying Pacific Islands to anticipated changes in climate, a 122‐year record of major flooding depths at the Rarawai Sugar Mill on the Ba River in the northwest of the Fijian Island of Viti Levu is analysed. Reconstructed largely from archived correspondence of the Colonial Sugar Refining Company, the time series comprises simple measurements of height above the Mill floor. It exhibits no statistically significant trends in either frequency or flood heights, once the latter have been adjusted for average relative sea‐level rise. This is despite persistent warming of air temperatures as characterized in other studies. There is a strong dependence of frequency (but not magnitude) upon El Niño‐Southern Oscillation (ENSO) phase, with many more floods in La Niña phases. The analysis of this long‐term data series illustrates the difficulty of detecting a global climate change signal from hazard data, even given a consistent measurement methodology (cf HURDAT2 record of North Atlantic hurricanes) and warns of the strong dependence of any statistical significance upon choices of start and end dates of the analysis.

The main costs of natural disasters in the Forest District of Węgierska Górka

Abstract The aim of the study was to determine the impact of increased forest management due to natural disasters on particular core unit costs. We analysed the direct costs for the Forest District of Węgierska Górka in the years 2004-2010 based on information from the State Forests lnformation System (SFIS) database compared with selected forest districts within the Regional Directorate of State Forests in Cracow (RDSF). The forest districts were divided into two groups with two and six forest districts and confidence intervals around the mean were determined and the significance of linear regressions of the considered characteristics was tested. Additionally, the growth rate (decrease) of the unit cost was calculated. Our studies showed that natural disasters affect only certain unit costs regardless of the intensity of the forest management. The increase in unit costs resulted in economic losses in forest management. A full long-term analysis of the economic impact of natural disasters should be done, taking into account the cost of reforestation of destroyed areas which may become apparent only some years later.

The economic impact of extreme weather events through a Kaleckian–Post-Keynesian lens: A case study of the State of Queensland, Australia

The economic impact of natural disasters has been neglected in the mainstream theories of development and economic growth. Only recently has a body of research into the economic effects of natural disasters begun to emerge. This recent research has taken into account the socio-economic impact of disasters, and has explored the influence of the pre-disaster socio-economic structure on the response to a disaster event when it occurs. However, a great deal of research fails to effectively examine this relationship within a general macroeconomic framework. In the absence of such attempts, this article aims to explore the dynamic effects of climatic disasters on key economic variables in the State of Queensland for the period of 2002 to 2011. The paper draws on the principles of a Kaleckian–Post-Keynesian multi-sectoral open economy theory, using powerful time series analysis and estimation techniques. Assuming natural disasters to be exogenous random shocks, this paper explores whether macroeconomic variables in the model differ significantly in their response to extreme climatic shocks.

Analysis of Economic Resiliency of Communities Affected by Natural Disasters: The Bay Area Case Study

The paper focuses on the economic impact of natural disasters on different economic sectors in a given community considering their interdependencies. In the last twenty years, several catastrophe models have been developed for measuring economic losses. Nevertheless, due to the lack of data and the complexity of the problem, significant levels of uncertainties are still present. In fact, the factors that drive the economic recovery process before, during, and after natural disasters needs to be determined to select the optimal resources allocation and preparedness measures right after an extreme event. In most of the previous catastrophe models interdependencies between physical and nonphysical infrastructures are mostly neglected. This paper is proposing a model that describes the economic effects and characteristics that should be taken into account to predict the monetary impact of natural disasters, focusing in particular on the economic interdependencies of industries and lifelines. Different types of losses are considered using real economic data provided by surveys on natural disasters such as Northridge earthquake, Des Moines flood, etc. The data associated with the physical damages are obtained from HAZUS database. The Economic Resilience Index provided in the PEOPLES framework is adopted and applied to the specific case study of the San Francisco Bay Area. Sensitivity analysis is performed for each economic sector considered in the analysis.

Natural Disasters in Latin America and the Caribbean: An Overview of Risk

This paper integrates information from both economics and the physical sciences to survey the effects of natural disasters in the region. A first section surveys the human and economic impact of natural disasters in the region at both the household and aggregate levels, noting both the geographical distribution of disaster risk and its long-term implications for development. A second section reviews types of disasters prevalent in the region, and future disaster risks, as well as the socio-economic sources of vulnerability to disasters resulting from development and migration patterns. A third section discusses risk management strategies at the household and community level, with public policy options and proposals for emergency response and finding an appropriate mix of local, national and market-based solutions.

Measuring long-run economic effects of natural hazard

This paper studies the long-run economic effects of severe weather on regional economies. A catastrophic event, such as a hurricane, will have an effect on both the directly impacted region and adjacent regions. With dramatically increasing damage from catastrophic weather events over the past few decades, comprehensive assessment of the long-run economic impact of natural disasters across the broader region becomes more important than ever for planning for post-disaster recovery. We estimate the long-run effect of Hurricane Katrina on the unemployment rate of Houston, TX by employing time-series and fixed-effect models. Using Dallas as a control, we find that Katrina is associated with a higher long-run unemployment rate in Houston than would otherwise have been expected. This implies that the hurricane-generated adverse relative effects on Houston. Our findings suggest that areas that are geographically proximate to the directly impacted region can sustain lasting negative economic consequences.

Economic impact of natural disasters' fatalities

PurposeThe purpose of this paper is to find the meaningful relationship between the economic impact of the natural disaster and economic condition.Design/methodology/approachThe paper employed cross‐sectional analysis to investigate the relationship between economic condition namely, gross domestic product per capita (GDPpc); gross domestic product per capita squared (GDPpc2); government consumption ratio to GDP (gc); ratio of M2 over GDP(M2); years of schooling attainment (sc); land area and finally; population and the economic impact of natural disasters, whereby ten types of natural disasters were chosen. The degree to which the human and economic losses due to these ten natural disasters were measured by, the variables selected are, number of killed; total affected; and ratio of total damage to GDP. Three different points of time were regressed, namely, 1985, 1995, and 2005 covering 73 countries.FindingsResults clearly indicate that there seems to be meaningful relationship between the economic impact of natural disasters and economic conditions.Practical implicationsThe paper provides some evidence on the important role of economic condition in minimizing the impact of natural disasters.Originality/valueThe paper incorporates a comprehensive list of explanatory variables in accounting for natural disaster fatalities.

Disasters, Climate Change and Economic Development in Sub-Saharan Africa: Lessons and Directions

This paper explores the links among natural disasters, climate change, and economic development. It attempts to outline a framework for thinking about these links. The paper summarizes the limited knowledge of the long-term economic impact of natural disasters. It is necessary to draw links among disasters, conflicts, resource management, and other transmission channels to develop an appropriate response to natural disasters. The paper argues that African governments, along with their development partners, need to develop a more robust adaptation and response capability to disasters as part of their overall development planning. The paper makes the case for more market-based financing mechanisms than have been used hitherto and for an emphasis on forecasting research. It also argues for more work on the links between climate change and disasters and a new way of looking at disaster resilience as a continuum to development strategies.

Economic Lessons of the Kobe Earthquake

Previous articleNext article No AccessEconomic Lessons of the Kobe EarthquakeGeorge HorwichGeorge HorwichPurdue University Search for more articles by this author Purdue UniversityPDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by Economic Development and Cultural Change Volume 48, Number 3April 2000 Article DOIhttps://doi.org/10.1086/452609 Views: 502Total views on this site Citations: 151Citations are reported from Crossref © 2000 by The University of Chicago. All rights reserved.PDF download Crossref reports the following articles citing this article:Sarah Meier, Robert J.R. Elliott, Eric Strobl The regional economic impact of wildfires: Evidence from Southern Europe, Journal of Environmental Economics and Management 118 (Mar 2023): 102787.https://doi.org/10.1016/j.jeem.2023.102787Xia Chen, Xinxin Zhao, Chun-Ping Chang The shocks of natural disasters on NPLs: Global evidence, Economic Systems 47, no.11 (Mar 2023): 101050.https://doi.org/10.1016/j.ecosys.2022.101050Gary Bowman, Roxane Foulser-Piggott, Paul W Beamish Natural disasters and MNE internalization: Reoptimizing subsidiary governance, Journal of World Business 58, no.22 (Feb 2023): 101387.https://doi.org/10.1016/j.jwb.2022.101387A. Colletta, J. Lim, J. Choi Review of Infrastructure Resiliency Policy for Natural Disasters, (Jun 2022): 637–648.https://doi.org/10.1007/978-981-19-0503-2_51M-Adnan Shahid, Veeshan Rayamajhee, Alok Bohara Does social capital help in post-disaster recovery? Evidence from the Gorkha earthquake of Nepal, International Journal of Disaster Risk Reduction 82 (Nov 2022): 103359.https://doi.org/10.1016/j.ijdrr.2022.103359Christofer Adrian, Mukesh Garg, Anh Viet Pham, Soon-Yeow Phang, Cameron Truong Do Natural Disasters Affect Corporate Tax Avoidance? The Case of Drought, Journal of Business Ethics 27 (Sep 2022).https://doi.org/10.1007/s10551-022-05250-7Esa Azali Asyahid, Immanuel Satya Pekerti Economic impact of natural disasters, spillovers, and role of human development: case of Indonesia, Letters in Spatial and Resource Sciences 4 (Jun 2022).https://doi.org/10.1007/s12076-022-00307-7Sandun Wanniarachchi, Tharindu Prabatha, Hirushie Karunathilake, Qi Zhang, Kasun Hewage, M. Shahria Alam Life Cycle Thinking–Based Decision Making for Bridges under Seismic Conditions. I: Methodology and Framework, Journal of Bridge Engineering 27, no.66 (Jun 2022).https://doi.org/10.1061/(ASCE)BE.1943-5592.0001884David Dyason Disasters and Investment: Assessing the Performance of the Underlying Economy Following a Large-Scale Stimulus in the Built Environment, Journal of Risk and Financial Management 15, no.66 (Jun 2022): 263.https://doi.org/10.3390/jrfm15060263Rozana Himaz Business recovery in Aceh and North Sumatra following the Indian Ocean Tsunami, International Journal of Disaster Risk Reduction 73 (Apr 2022): 102868.https://doi.org/10.1016/j.ijdrr.2022.102868Shishir Shakya, Subuna Basnet, Jayash Paudel Natural disasters and labor migration: Evidence from Nepal’s earthquake, World Development 151 (Mar 2022): 105748.https://doi.org/10.1016/j.worlddev.2021.105748Sajeevani Weerasekara, Clevo Wilson, Boon Lee, Viet-Ngu Hoang Impact of natural disasters on the efficiency of agricultural production: an exemplar from rice farming in Sri Lanka, Climate and Development 14, no.22 (Apr 2021): 133–146.https://doi.org/10.1080/17565529.2021.1893635Michael P. Cronin Between Jeju and Hanshin: Intimate Migration, Japanese Studies 41, no.33 (Dec 2021): 323–341.https://doi.org/10.1080/10371397.2021.2008794Wei Gao, Yuwei Guo, Fanying Jiang Playing for a Resilient Future: A Serious Game Designed to Explore and Understand the Complexity of the Interaction among Climate Change, Disaster Risk, and Urban Development, International Journal of Environmental Research and Public Health 18, no.1717 (Aug 2021): 8949.https://doi.org/10.3390/ijerph18178949Behrooz Balaei, Ilan Noy, Suzanne Wilkinson, Regan Potangaroa Economic factors affecting water supply resilience to disasters, Socio-Economic Planning Sciences 76 (Aug 2021): 100961.https://doi.org/10.1016/j.seps.2020.100961Courtney Page-Tan The Role of Social Media in Disaster Recovery Following Hurricane Harvey, Journal of Homeland Security and Emergency Management 18, no.11 (Oct 2020): 93–123.https://doi.org/10.1515/jhsem-2018-0054Janet Dzator, Michael Dzator Natural Disasters: Macroeconomic Implications and Measurement Issues, (Jan 2021): 317–333.https://doi.org/10.1016/B978-0-12-817465-4.00020-0Toshihisa Toyoda Toward a Long-Term Economic Damage Reduction from an Urban Disaster: Lessons from the 1995 Kobe Earthquake, (Nov 2021): 113–126.https://doi.org/10.1007/978-981-16-5979-9_7Patrizia Isabelle Duda, Ilan Kelman, Navonel Glick Informal Disaster Governance, Politics and Governance 8, no.44 (Dec 2020): 375–385.https://doi.org/10.17645/pag.v8i4.3077César Andrés Mendoza, Giulio Breglia, Benjamín Jara Regional labor markets after an earthquake. Short-term emergency reactions in a cross-country perspective. Cases from Chile, Ecuador, Italy, Review of Regional Research 40, no.22 (Oct 2020): 189–221.https://doi.org/10.1007/s10037-020-00144-5Asjad Naqvi, Franziska Gaupp, Stefan Hochrainer-Stigler The risk and consequences of multiple breadbasket failures: an integrated copula and multilayer agent-based modeling approach, OR Spectrum 42, no.33 (Feb 2020): 727–754.https://doi.org/10.1007/s00291-020-00574-0Zuzanna Kosowska-Stamirowska Network effects govern the evolution of maritime trade, Proceedings of the National Academy of Sciences 117, no.2323 (May 2020): 12719–12728.https://doi.org/10.1073/pnas.1906670117Yashobanta Parida Economic impact of floods in the Indian states, Environment and Development Economics 25, no.33 (Oct 2019): 267–290.https://doi.org/10.1017/S1355770X19000317Giuliano Masiero, Michael Santarossa Earthquakes, grants, and public expenditure: How municipalities respond to natural disasters, Journal of Regional Science 60, no.33 (Sep 2019): 481–516.https://doi.org/10.1111/jors.12462Qian Tao, Zheng He Measurement of the threshold of community seismic resilience using dynamics-based metrics, Structural Safety 83 (Mar 2020): 101907.https://doi.org/10.1016/j.strusafe.2019.101907Vaibhav Gupta, Nikunj Aggarwal, Neetu Sharma, Vaibhav Aggarwal, Kiran Sharma, Tarun Kumar Dhiman, Ashish Kumar Sharma Studying the Effect of Natural Disasters on Economic Activity., (Feb 2020): 1–7.https://doi.org/10.1109/ic-ETITE47903.2020.72Evgeni Magid, Artyom Pashkin, Nikita Simakov, Bulat Abbyasov, Jackrit Suthakorn, Mikhail Svinin, Fumitoshi Matsuno Artificial Intelligence Based Framework for Robotic Search and Rescue Operations Conducted Jointly by International Teams, (Aug 2019): 15–26.https://doi.org/10.1007/978-981-13-9267-2_2Lesley Crowe-Delaney Hyogo Prefecture and Hard times: Making Strategies and Changing Tourism Policies, 1990–2017, (Feb 2021): 115–154.https://doi.org/10.1007/978-981-15-7167-1_4Nadia Doytch Upgrading destruction?, International Journal of Climate Change Strategies and Management 12, no.22 (Nov 2019): 182–200.https://doi.org/10.1108/IJCCSM-07-2019-0044Martin Philipp Heger, Eric Neumayer The impact of the Indian Ocean tsunami on Aceh’s long-term economic growth, Journal of Development Economics 141 (Nov 2019): 102365.https://doi.org/10.1016/j.jdeveco.2019.06.008Hangtian Xu, Si Wang Urban redevelopment and residential location choice: Evidence from a major earthquake in Japan, Journal of Regional Science 59, no.55 (Jan 2019): 850–882.https://doi.org/10.1111/jors.12424I Masudin, F W Fernanda A review of literature on types, stages of recovery and humanitarian logistics operations in the tsunami and earthquake disaster in Indonesia, IOP Conference Series: Materials Science and Engineering 674, no.11 (Nov 2019): 012043.https://doi.org/10.1088/1757-899X/674/1/012043Xian Xu Prospects for disaster management in China and the role of insurance, Environmental Hazards 18, no.55 (Apr 2019): 383–399.https://doi.org/10.1080/17477891.2019.1609404Preeya S. Mohan, Nekeisha Spencer, Eric Strobl Natural Hazard-Induced Disasters and Production Efficiency: Moving Closer to or Further from the Frontier?, International Journal of Disaster Risk Science 10, no.22 (May 2019): 166–178.https://doi.org/10.1007/s13753-019-0218-9Hoda Baytiyeh Why School Resilience Should Be Critical for the Post-Earthquake Recovery of Communities in Divided Societies, Education and Urban Society 51, no.55 (Dec 2017): 693–711.https://doi.org/10.1177/0013124517747035Danny Woosik Choi, Seoki Lee, Manisha Singal An exploratory temporal analysis of the lodging market and state economic recovery from Hurricane Sandy (The lodging market recovery from Hurricane Sandy), International Journal of Contemporary Hospitality Management 31, no.55 (May 2019): 2074–2094.https://doi.org/10.1108/IJCHM-06-2018-0513Jungmin Lim, Mark Skidmore Flood Fatalities in the United States: The Roles of Socioeconomic Factors and the National Flood Insurance Program, Southern Economic Journal 85, no.44 (Mar 2019): 1032–1057.https://doi.org/10.1002/soej.12330Matthew A Cole, Robert J R Elliott, Toshihiro Okubo, Eric Strobl Natural disasters and spatial heterogeneity in damages: the birth, life and death of manufacturing plants, Journal of Economic Geography 19, no.22 (Nov 2017): 373–408.https://doi.org/10.1093/jeg/lbx037Vassilis Tselios, Emma L. Tompkins What causes nations to recover from disasters? An inquiry into the role of wealth, income inequality, and social welfare provisioning, International Journal of Disaster Risk Reduction 33 (Feb 2019): 162–180.https://doi.org/10.1016/j.ijdrr.2018.10.003Young Seok Song, Moo Jong Park Development of Damage Prediction Formula for Natural Disasters Considering Economic Indicators, Sustainability 11, no.33 (Feb 2019): 868.https://doi.org/10.3390/su11030868Mai Syaheera M. Shaari, Mohd Zaini Abd. Karim, Bakti Hasan Basri , ( 2019): 111.https://doi.org/10.1007/978-981-10-8730-1_12Adam Rose Incorporating Cyber Resilience into Computable General Equilibrium Models, (Nov 2019): 99–120.https://doi.org/10.1007/978-3-030-16237-5_5 강병준, 홍채은 Paradigm Shift of Disaster Management Policy -Focusing on Fine Dust, Heat Waves and Cold Waves-, Journal of Policy Development 18, no.22 (Dec 2018): 79–122.https://doi.org/10.35224/kapd.2018.18.2.003Stefania Oliva, Luciana Lazzeretti Measuring the economic resilience of natural disasters: An analysis of major earthquakes in Japan, City, Culture and Society 15 (Dec 2018): 53–59.https://doi.org/10.1016/j.ccs.2018.05.005Alessandra Ricciardelli, Francesco Manfredi, Margaret Antonicelli Impacts for implementing SDGs: sustainable collaborative communities after disasters. The city of Macerata at the aftermath of the earthquake, Corporate Governance: The International Journal of Business in Society 18, no.44 (Aug 2018): 594–623.https://doi.org/10.1108/CG-01-2018-0027Muhammad Habibur Rahman Earthquakes don’t kill, built environment does: Evidence from cross-country data, Economic Modelling 70 (Apr 2018): 458–468.https://doi.org/10.1016/j.econmod.2017.08.027Jürgen Schmude, Sahar Zavareh, Katrin Magdalena Schwaiger, Marion Karl Micro-level assessment of regional and local disaster impacts in tourist destinations, Tourism Geographies 20, no.22 (Feb 2018): 290–308.https://doi.org/10.1080/14616688.2018.1438506Yang Liu, Jiuchang Wei, Jia Xu, Zhe Ouyang , Natural Hazards 91, no.22 ( 2018): 587.https://doi.org/10.1007/s11069-017-3142-6Go Shimada A Quantitative Study of Social Capital in the Tertiary Sector of Kobe—Has Social Capital Promoted Economic Reconstruction Since the Great Hanshin Awaji Earthquake?, (Jan 2018): 363–377.https://doi.org/10.1016/B978-0-12-812056-9.00021-XJaharudin Padli, Muzafar Shah Habibullah, Abdul H. Baharom The impact of human development on natural disaster fatalities and damage: panel data evidence, Economic Research-Ekonomska Istraživanja 31, no.11 (Sep 2018): 1557–1573.https://doi.org/10.1080/1331677X.2018.1504689Yaman Kouli, Tomasz Dominiak Dolny Śląsk 1936-1956. Szybki rozwój i nieudana odbudowa. Wpływ wiedzy na produkcję przemysłową, (Jan 2018).https://doi.org/10.31338/uw.9788323532040Hideki Toya, Mark Skidmore , Sustainability 10, no.99 ( 2018): 2970.https://doi.org/10.3390/su10092970Ali E. Abbas, Milind Tambe, Detlof von Winterfeldt Improving Homeland Security Decisions, 38 (Dec 2017).https://doi.org/10.1017/9781316676714Adam Rose Economic Resilience to Terrorism and Natural Hazards, (Nov 2017): 193–219.https://doi.org/10.1017/9781316676714.009Preeya Mohan, Eric Strobl The short-term economic impact of tropical Cyclone Pam: an analysis using VIIRS nightlight satellite imagery, International Journal of Remote Sensing 38, no.2121 (May 2017): 5992–6006.https://doi.org/10.1080/01431161.2017.1323288Asjad Naqvi Deep Impact: Geo-Simulations as a Policy Toolkit for Natural Disasters, World Development 99 (Nov 2017): 395–418.https://doi.org/10.1016/j.worlddev.2017.05.015Martino Pelli, Jeanne Tschopp Comparative advantage, capital destruction, and hurricanes, Journal of International Economics 108 (Sep 2017): 315–337.https://doi.org/10.1016/j.jinteco.2017.07.004Jungmin Lim, Scott Loveridge, Robert Shupp, Mark Skidmore Double danger in the double wide: Dimensions of poverty, housing quality and tornado impacts, Regional Science and Urban Economics 65 (Jul 2017): 1–15.https://doi.org/10.1016/j.regsciurbeco.2017.04.003Go Shimada A quantitative study of social capital in the tertiary sector of Kobe – Has social capital promoted economic reconstruction since the Great Hanshin Awaji Earthquake?, International Journal of Disaster Risk Reduction 22 (Jun 2017): 494–502.https://doi.org/10.1016/j.ijdrr.2016.10.002Yasuyuki Sawada, Yoshito Takasaki Natural Disaster, Poverty, and Development: An Introduction, World Development 94 (Jun 2017): 2–15.https://doi.org/10.1016/j.worlddev.2016.12.035Albert Park, Sangui Wang Benefiting From Disaster? Public and Private Responses to the Wenchuan Earthquake, World Development 94 (Jun 2017): 38–50.https://doi.org/10.1016/j.worlddev.2016.12.038John Lynham, Ilan Noy, Jonathan Page The 1960 Tsunami in Hawaii: Long-Term Consequences of a Coastal Disaster, World Development 94 (Jun 2017): 106–118.https://doi.org/10.1016/j.worlddev.2016.12.043Wenming Shi, Kevin X. Li Impact of unexpected events on inbound tourism demand modeling: evidence of Middle East Respiratory Syndrome outbreak in South Korea, Asia Pacific Journal of Tourism Research 22, no.33 (Nov 2016): 344–356.https://doi.org/10.1080/10941665.2016.1250795Martina Kirchberger Natural disasters and labor markets, Journal of Development Economics 125 (Mar 2017): 40–58.https://doi.org/10.1016/j.jdeveco.2016.11.002Stefania Oliva, Luciana Lazzeretti Adaptation, adaptability and resilience: the recovery of Kobe after the Great Hanshin Earthquake of 1995, European Planning Studies 25, no.11 (Jan 2017): 67–87.https://doi.org/10.1080/09654313.2016.1260093Adam Rose Economic Resilience in Regional Science: Research Needs and Future Applications, (Apr 2017): 245–264.https://doi.org/10.1007/978-3-319-50547-3_15Adam Rose Measuring Economic Resilience, (Apr 2017): 49–58.https://doi.org/10.1007/978-981-10-1533-5_6José Feria-Domínguez, Pilar Paneque, María Gil-Hurtado , International Journal of Environmental Research and Public Health 14, no.66 ( 2017): 600.https://doi.org/10.3390/ijerph14060600Afsana Haque, Sarwar Jahan Regional Impact of Cyclone Sidr in Bangladesh: A Multi-Sector Analysis, International Journal of Disaster Risk Science 7, no.33 (Sep 2016): 312–327.https://doi.org/10.1007/s13753-016-0100-yBrent McKnight, Martina K. Linnenluecke How Firm Responses to Natural Disasters Strengthen Community Resilience, Organization & Environment 29, no.33 (Aug 2016): 290–307.https://doi.org/10.1177/1086026616629794Carlos Adriàn Romero, Omar Osvaldo Chisari, Leonardo Javier Mastronardi, Arturo Leonardo Vásquez Cordano The cost of failing to prevent gas supply interruption: A CGE assessment for Peru, ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT , no.22 (Apr 2016): 131–148.https://doi.org/10.3280/EFE2015-002009Umberto Monarca, Ernesto Cassetta, Alessandro Sarra, Cesare Pozzi Integrating renewable energy sources into electricity markets: Power system operation, resource adequacy and market design, ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT , no.22 (Apr 2016): 149–166.https://doi.org/10.3280/EFE2015-002010M. Shaari Mai Syaheera, Mohd Zaini Abd Karim, Bakti Hassan Basri Flood disaster and GDP growth in Malaysia, European Law Review 8, no.22 (Mar 2016): 01–01.https://doi.org/10.21859/eulawrev-08023Eiji Yamamura Natural disasters and social capital formation: The impact of the Great Hanshin-Awaji earthquake, Papers in Regional Science 95 (Apr 2014): S143–S164.https://doi.org/10.1111/pirs.12121Javier Monllor, Nezih Altay Discovering opportunities in necessity: the inverse creative destruction effect, Journal of Small Business and Enterprise Development 23, no.11 (Feb 2016): 274–291.https://doi.org/10.1108/JSBED-10-2014-0172Jason Levy, Peiyong Yu Advances in Economics and Disaster Forensics: A Multi-criteria Disaster Forensics Analysis (MCDFA) of the 2012 Kahuku Wind Farm Battery Fire on Oahu, Hawaii, (Sep 2016): 355–379.https://doi.org/10.1007/978-3-319-41849-0_15Albert Park, Sangui Wang Benefiting from Disaster?: Public and Private Responses to the Wenchuan Earthquake, SSRN Electronic Journal (Jan 2016).https://doi.org/10.2139/ssrn.2795372Yasuhide Okuyama How shaky was the regional economy after the 1995 Kobe earthquake? A multiplicative decomposition analysis of disaster impact, The Annals of Regional Science 55, no.2-32-3 (Aug 2015): 289–312.https://doi.org/10.1007/s00168-015-0691-zGo Shimada The role of social capital after disasters: An empirical study of Japan based on Time-Series-Cross-Section (TSCS) data from 1981 to 2012, International Journal of Disaster Risk Reduction 14 (Dec 2015): 388–394.https://doi.org/10.1016/j.ijdrr.2015.09.004Ismail Ercument Ayazli, Fatmagul Kilic, Steffen Lauf, Hulya Demir, Birgit Kleinschmit Simulating urban growth driven by transportation networks: A case study of the Istanbul third bridge, Land Use Policy 49 (Dec 2015): 332–340.https://doi.org/10.1016/j.landusepol.2015.08.016Ji Guo, Hui Liu, Xianhua Wu, Jiong Gu, Shunfeng Song, Yinshan Tang Natural Disasters, Economic Growth and Sustainable Development in China―An Empirical Study Using Provincial Panel Data, Sustainability 7, no.1212 (Dec 2015): 16783–16800.https://doi.org/10.3390/su71215847William duPont IV, Ilan Noy, Yoko Okuyama, Yasuyuki Sawada, Toshiyuki Ojima The Long-Run Socio-Economic Consequences of a Large Disaster: The 1995 Earthquake in Kobe, PLOS ONE 10, no.1010 (Oct 2015): e0138714.https://doi.org/10.1371/journal.pone.0138714Naima Rahman, Mehedi A. Ansary, Ishrat Islam GIS based mapping of vulnerability to earthquake and fire hazard in Dhaka city, Bangladesh, International Journal of Disaster Risk Reduction 13 (Sep 2015): 291–300.https://doi.org/10.1016/j.ijdrr.2015.07.003Yasuhide Okuyama, The Rise and Fall of the Kobe Economy from the 1995 Earthquake, Journal of Disaster Research 10, no.44 (Aug 2015): 635–640.https://doi.org/10.20965/jdr.2015.p0635Michael Mieler, Bozidar Stojadinovic, Robert Budnitz, Mary Comerio, Stephen Mahin A Framework for Linking Community-Resilience Goals to Specific Performance Targets for the Built Environment, Earthquake Spectra 31, no.33 (Dec 2019): 1267–1283.https://doi.org/10.1193/082213EQS237MEiji Yamamura The Impact of Natural Disasters on Income Inequality: Analysis using Panel Data during the Period 1970 to 2004, International Economic Journal 29, no.33 (Mar 2015): 359–374.https://doi.org/10.1080/10168737.2015.1020323William duPontIV / Ilan Noy What Happened to Kobe? A Reassessment of the Impact of the 1995 Earthquake in Japan, Economic Development and Cultural Change 63, no.44 (Sep 2015): 777–812.https://doi.org/10.1086/681129Sameer Prasad, Hung-Chung Su, Nezih Altay, Jasmine Tata Building disaster-resilient micro enterprises in the developing world, Disasters 39, no.33 (Dec 2014): 447–466.https://doi.org/10.1111/disa.12117Lisa Doyle, Ilan Noy The short-run nationwide macroeconomic effects of the Canterbury earthquakes, New Zealand Economic Papers 49, no.22 (Feb 2014): 134–156.https://doi.org/10.1080/00779954.2014.885379Hiroshi Fujiki, Cheng Hsiao Disentangling the effects of multiple treatments—Measuring the net economic impact of the 1995 great Hanshin-Awaji earthquake, Journal of Econometrics 186, no.11 (May 2015): 66–73.https://doi.org/10.1016/j.jeconom.2014.10.010Ryuhei Wakasugi, Ayumu Tanaka Recovery of the Supply Chain after the 2011 Mega-quake in Japan, Millennial Asia 6, no.11 (Mar 2015): 1–18.https://doi.org/10.1177/0976399614563221Daniel P. Aldrich, Michelle A. Meyer Social Capital and Community Resilience, American Behavioral Scientist 59, no.22 (Feb 2015): 254–269.https://doi.org/10.1177/0002764214550299Ayumu Tanaka The impacts of natural disasters on plants' growth: Evidence from the Great Hanshin-Awaji (Kobe) earthquake, Regional Science and Urban Economics 50 (Jan 2015): 31–41.https://doi.org/10.1016/j.regsciurbeco.2014.11.002Daniel P. Aldrich, Emi Kiyota, Margaret Arnold, Yasuhiro Tanaka Elders Leading the Way to Resilience, SSRN Electronic Journal (Jan 2015).https://doi.org/10.2139/ssrn.2575382Francesco Bosello, Shouro Dasgupta Development, Climate Change Adaptation, and Maladaptation: Some Econometric Evidence, SSRN Electronic Journal (Jan 2015).https://doi.org/10.2139/ssrn.2718007J. H. Y. Edwards The structure of disaster resilience: a framework for simulations and policy recommendations, Natural Hazards and Earth System Sciences 15, no.44 (Apr 2015): 827–841.https://doi.org/10.5194/nhess-15-827-2015Jürgen Faik Global Economic Accounting and Its Critics: Objective Approaches (1), (Nov 2014): 115–131.https://doi.org/10.1007/978-94-017-9178-6_6Tzuyi Lien, Ching-Chung Cheng, Cheinway Hwang, David Crossley Assessing active faulting by hydrogeological modeling and superconducting gravimetry: A case study for Hsinchu Fault, Taiwan, Journal of Geophysical Research: Solid Earth 119, no.99 (Sep 2014): 7319–7335.https://doi.org/10.1002/2014JB011285Pedcris M. Orencio, Masahiko Fujii A spatiotemporal approach for determining disaster-risk potential based on damage consequences of multiple hazard events, Journal of Risk Research 17, no.77 (Jul 2013): 815–836.https://doi.org/10.1080/13669877.2013.816334Vedat Yorucu, Salih Turan Katircioğlu Radioactive convergence of nuclear leakage in Fukushima: Economic impact analysis of triple tragic events, Renewable and Sustainable Energy Reviews 35 (Jul 2014): 400–409.https://doi.org/10.1016/j.rser.2014.04.021Nourin Shabnam Natural Disasters and Economic Growth: A Review, International Journal of Disaster Risk Science 5, no.22 (Jun 2014): 157–163.https://doi.org/10.1007/s13753-014-0022-5Hideki Toya, Mark Skidmore Do Natural Disasters Enhance Societal Trust?, Kyklos 67, no.22 (Apr 2014): 255–279.https://doi.org/10.1111/kykl.12053Martino Pelli, Jeanne Tschopp Hurricanes Revisited: Comparative Advantage as a Source of Heterogeneity, SSRN Electronic Journal (Jan 2014).https://doi.org/10.2139/ssrn.2529660J. H. Y. Edwards The structure of disaster resilience: a framework for simulations and policy recommendations, Natural Hazards and Earth System Sciences Discussions 2, no.99 (Sep 2014): 5759–5796.https://doi.org/10.5194/nhessd-2-5759-2014Adam Rose Economic Resilience and Its Contribution to the Sustainability of Cities, (Jan 2014): 1–11.https://doi.org/10.1007/978-3-319-04316-6_1Ansgar Belke Natural disaster in Japan: implications for world financial markets, Asia Europe Journal 11, no.44 (Aug 2013): 433–444.https://doi.org/10.1007/s10308-013-0362-6Yu Xiao, Uttara Nilawar Winners and losers: analysing post-disaster spatial economic demand shift, Disasters 37, no.44 (Sep 2013): 646–668.https://doi.org/10.1111/disa.12025Yu Xiao, Joshua Drucker Does Economic Diversity Enhance Regional Disaster Resilience?, Journal of the American Planning Association 79, no.22 (Apr 2013): 148–160.https://doi.org/10.1080/01944363.2013.882125Ilan Noy Social Capital in Post-Disaster Recovery: Concepts and Measurement, Risk, Hazards & Crisis in Public Policy 4, no.11 (Apr 2013): 11–16.https://doi.org/10.1002/rhc3.22Saehoon Kim, Peter G. Rowe Are master plans effective in limiting development in China's disaster-prone areas?, Landscape and Urban Planning 111 (Mar 2013): 79–90.https://doi.org/10.1016/j.landurbplan.2012.12.001Eiji Yamamura Natural Disasters and Participation in Volunteer Activities: A Case Study of the Great Hanshin-Awaji Earthquake, Annals of Public and Cooperative Economics 84, no.11 (Feb 2013): 103–117.https://doi.org/10.1111/apce.12005Shih‐hung Chang Evaluating essential liabilities on design professionals under earthquake’s impact, Engineering, Construction and Architectural Management 20, no.22 (Feb 2013): 181–194.https://doi.org/10.1108/09699981311303035Bin Zhou, Zhongxian Wang Revisit of Supply Chain Risk Management and Disruption Under the Recent Financial Crisis, International Journal of Operations Research and Information Systems 4, no.11 (Jan 2013): 51–63.https://doi.org/10.4018/joris.2013010103John Lynham, Ilan Noy Disaster in Paradise: A Preliminary Investigation of the Socioeconomic Aftermaths of Two Coastal Disasters in Hawaii, (Dec 2012): 93–108.https://doi.org/10.1007/978-94-007-5000-5_6Eun Jeong Cha, Bruce R. Ellingwood Risk-averse decision-making for civil infrastructure exposed to low-probability, high-consequence events, Reliability Engineering & System Safety 104 (Aug 2012): 27–35.https://doi.org/10.1016/j.ress.2012.04.002Makena Coffman, Ilan Noy Hurricane Iniki: measuring the long-term economic impact of a natural disaster using synthetic control, Environment and Development Economics 17, no.22 (Nov 2011): 187–205.https://doi.org/10.1017/S1355770X11000350Yi Hu, Jinfeng Wang, Xiaohong Li, Dan Ren, Luke Driskell, Jun Zhu Exploring geological and socio-demographic factors associated with under-five mortality in the Wenchuan earthquake using neural network model, International Journal of Environmental Health Research 22, no.22 (Apr 2012): 184–196.https://doi.org/10.1080/09603123.2011.613113Eric Strobl The economic growth impact of natural disasters in developing countries: Evidence from hurricane strikes in the Central American and Caribbean regions, Journal of Development Economics 97, no.11 (Jan 2012): 130–141.https://doi.org/10.1016/j.jdeveco.2010.12.002Toshihisa Toyoda Disaster Management and Policy, (Jan 2012): 236–252.https://doi.org/10.1057/9780230355019_14Yasuyuki Sawada, Satoshi Shimizutani Changes in durable stocks, portfolio allocation, and consumption expenditure in the aftermath of the Kobe earthquake, Review of Economics of the Household 9, no.44 (May 2011): 429–443.https://doi.org/10.1007/s11150-011-9124-7Peter Matanle The Great East Japan Earthquake, tsunami, and nuclear meltdown: towards the (re)construction of a safe, sustainable, and compassionate society in Japan's shrinking regions, Local Environment 16, no.99 (Oct 2011): 823–847.https://doi.org/10.1080/13549839.2011.607160Yu Xiao LOCAL ECONOMIC IMPACTS OF NATURAL DISASTERS*, Journal of Regional Science 51, no.44 (Mar 2011): 804–820.https://doi.org/10.1111/j.1467-9787.2011.00717.xAdam Rose Resilience and sustainability in the face of disasters, Environmental Innovation and Societal Transitions 1, no.11 (Jun 2011): 96–100.https://doi.org/10.1016/j.eist.2011.04.003Eric Strobl The Economic Growth Impact of Hurricanes: Evidence from U.S. Coastal Counties, Review of Economics and Statistics 93, no.22 (May 2011): 575–589.https://doi.org/10.1162/REST_a_00082Daniel P. Aldrich The power of people: social capital’s role in recovery from the 1995 Kobe earthquake, Natural Hazards 56, no.33 (Aug 2010): 595–611.https://doi.org/10.1007/s11069-010-9577-7Andres Ramirez, Nezih Altay Earthquakes: Nature’s Curse or a Blessing in Disguise?, SSRN Electronic Journal (Jan 2011).https://doi.org/10.2139/ssrn.1784812 International Monetary Fund Japan: Selected Issues, IMF Staff Country Reports 11, no.182182 (Jan 2011): 1.https://doi.org/10.5089/9781462329458.002J. E. Daniell, B. Khazai, F. Wenzel, A. Vervaeck The CATDAT damaging earthquakes database, Natural Hazards and Earth System Sciences 11, no.88 (Aug 2011): 2235–2251.https://doi.org/10.5194/nhess-11-2235-2011Eiji Yamamura Effects of Interactions among Social Capital, Income and Learning from Experiences of Natural Disasters: A Case Study from Japan, Regional Studies 44, no.88 (Oct 2010): 1019–1032.https://doi.org/10.1080/00343400903365144NEZIH ALTAY, ANDRES RAMIREZ IMPACT OF DISASTERS ON FIRMS IN DIFFERENT SECTORS: IMPLICATIONS FOR SUPPLY CHAINS, Journal of Supply Chain Management 46, no.44 (Sep 2010): 59–80.https://doi.org/10.1111/j.1745-493X.2010.03206.xIlan Noy, Tam Bang Vu The economics of natural disasters in a developing country: The case of Vietnam, Journal of Asian Economics 21, no.44 (Aug 2010): 345–354.https://doi.org/10.1016/j.asieco.2010.03.002Feng Deng Post-disaster reconfiguration of property rights in a transition economy, Post-Communist Economies 22, no.22 (Jun 2010): 193–206.https://doi.org/10.1080/14631371003740688Jaharudin Padli, Muzafar Shah Habibullah, A.H. Baharom Economic impact of natural disasters' fatalities, International Journal of Social Economics 37, no.66 (May 2010): 429–441.https://doi.org/10.1108/03068291011042319Ilan Noy The macroeconomic consequences of disasters, Journal of Development Economics 88, no.22 (Mar 2009): 221–231.https://doi.org/10.1016/j.jdeveco.2008.02.005Gene A. Brewer, Yujin Choi, Richard M. Walker Chapter 14 Assessing the impact of crises on the performance and governance of Asian countries, (Mar 2015): 361–381.https://doi.org/10.1108/S0732-1317(2009)0000018016Christian R. Jaramillo Do Natural Disasters Have Long-Term Effects on Growth?, SSRN Electronic Journal (Jan 2009).https://doi.org/10.2139/ssrn.1543453Eduardo A. Cavallo, Ilan Noy The Economics of Natural Disasters: A Survey, SSRN Electronic Journal (Jan 2009).https://doi.org/10.2139/ssrn.1817217Tirthankar Roy State, society and market in the aftermath of natural disasters in colonial India, The Indian Economic & Social History Review 45, no.22 (Jun 2008): 261–294.https://doi.org/10.1177/001946460804500204YASUYUKI SAWADA, SATOSHI SHIMIZUTANI How Do People Cope with Natural Disasters? Evidence from the Great Hanshin-Awaji (Kobe) Earthquake in 1995, Journal of Money, Credit and Banking 40, no.2-32-3 (Mar 2008): 463–488.https://doi.org/10.1111/j.1538-4616.2008.00122.xGregory N. Price Hurricane Katrina: Was There a Political Economy of Death?, The Review of Black Political Economy 35, no.44 (Jan 2008): 163–180.https://doi.org/10.1007/s12114-008-9033-zYasuyuki Sawada The impact of natural and manmade disasters on household welfare, Agricultural Economics 37 (Dec 2007): 59–73.https://doi.org/10.1111/j.1574-0862.2007.00235.xRobert A. Baade, Robert Baumann, Victor Matheson Estimating the Economic Impact of Natural and Social Disasters, with an Application to Hurricane Katrina, Urban Studies 44, no.1111 (Oct 2007): 2061–2076.https://doi.org/10.1080/00420980701518917Yasuyuki Sawada, Satoshi Shimizutani Consumption insurance against natural disasters: evidence from the Great Hanshin-Awaji (Kobe) earthquake, Applied Economics Letters 14, no.44 (Mar 2007): 303–306.https://doi.org/10.1080/13504850500447364Hideki Toya, Mark Skidmore Economic development and the impacts of natural disasters, Economics Letters 94, no.11 (Jan 2007): 20–25.https://doi.org/10.1016/j.econlet.2006.06.020Andrew Worthington *, Abbas Valadkhani Measuring the impact of natural disasters on capital markets: an empirical application using intervention analysis, Applied Economics 36, no.1919 (Oct 2004): 2177–2186.https://doi.org/10.1080/0003684042000282489Ulf Christian Ewert, Mathias Roehl, Adelinde M. Uhrmacher Consequences of Mortality Crises in Pre-Modern European Towns: A Multiagent-Based Simulation Approach, (Jan 2003): 175–196.https://doi.org/10.1007/978-3-7908-2715-6_10Mark Skidmore, Hideki Toya DO NATURAL DISASTERS PROMOTE LONG-RUN GROWTH?, Economic Inquiry 40, no.44 (Oct 2002): 664–687.https://doi.org/10.1093/ei/40.4.664Jen-Hung Huang, Jennifer C.H. Min Earthquake devastation and recovery in tourism: the Taiwan case, Tourism Management 23, no.22 (Apr 2002): 145–154.https://doi.org/10.1016/S0261-5177(01)00051-6Knowlton W. Johnson, Susan Olson-Allen, David Collins An Evaluation Strategy for Improving Disaster Victim Services: Blueprint for Change, International Journal of Mass Emergencies & Disasters 20, no.11 (Jan 2023): 69–100.https://doi.org/10.1177/028072700202000105Mark Skidmore Risk, natural disasters, and household savings in a life cycle model, Japan and the World Economy 13, no.11 (Jan 2001): 15–34.https://doi.org/10.1016/S0922-1425(00)00056-6Tadayuki Hara ESTIMATING THE IMMEDIATE EFFECTS OF AN UNPRECEDENTED EVENT OF TERRORISM, (): 237–254.https://doi.org/10.1016/S1745-3542(04)01016-1