Natural disasters, foreign direct investment, and women's rights in developing countries.

We examine the conditions under which women's economic and political status is less vulnerable in the aftermath of natural disasters. We theorize that women in natural disaster-hit countries that receive higher levels of foreign direct investment (FDI) are less susceptible to the gendered impacts of those disasters. Since FDI is vital to post-disaster economic recovery, countries grappling with natural disasters are motivated to uphold women's rights as a strategy to attract FDI. Furthermore, multinational corporations (MNCs)' operation and commitment to gender equality-based values and practices are also an impetus to address the deterioration in respect for women's rights. By conducting a time-series cross-sectional, ordered logistic analysis with random effects and using a comprehensive dataset on natural disasters and women's rights, including 107 developing countries from 1990 to 2011, we find that FDI mitigates natural disasters' adverse effects on women's economic rights but not their political rights.

Disaster experience and resident risk preference: Evidence from China household finance survey.

China is one of the countries hardest hit by disasters. Disaster shocks not only cause a large number of casualties and property damage but also have an impact on the risk preference of those who experience it. Current research has not reached a consensus conclusion on the impact of risk preferences. This paper empirically analyzes the effects of natural and man-made disasters on residents' risk preference based on the data of the China Household Financial Survey (CHFS) in 2019. The results indicate that: (1) Both natural and man-made disasters can significantly lead to an increase in the risk aversion of residents, and man-made disasters have a greater impact. (2) Education background plays a negative moderating role in the impact of man-made disasters on residents' risk preference. (3) Natural disaster experiences have a greater impact on the risk preference of rural residents, while man-made disaster experiences have a greater impact on the risk preference of urban residents. Natural disaster experiences make rural residents more risk-averse, while man-made disaster experiences make urban residents more risk-averse. The results provide new evidence and perspective on the negative impact of disaster shocks on the social life of residents.

Unleashing the power of emergency response: controlling natural disasters by addressing environmental risk.

The primary focus of the analysis is to investigate the impact of emergency response management and environmental risk on natural disasters by controlling the variables of national income and financial development. To investigate the model empirically, we have employed the quantile autoregressive distributed lag model that estimates the short- and long-run estimates across various quantiles. The long-run estimates of emergency response management are negative and significant only at higher quantiles, i.e., from 60 to 95th quantiles. In the short run, emergency response management's estimated coefficients are negative and significant from 70 to 95th quantiles. Environmental risk shows a significant positive correlation with natural disasters across quantiles, while national income and financial development decrease natural disasters in the long run. Furthermore, we observed the asymmetric impact of emergency response management on natural disasters in both the short and long run.

Tourism during health disasters: Exploring the role of health system quality, transport infrastructure, and environmental expenditures in the revival of the global tourism industry.

Tourism is one of the most important promoters of sustainable development in many nations and regions around the globe. Tourism expansion has been a significant contributor to social and economic growth, particularly in developing economies. It is, however, vulnerable to all kinds of health crises and natural disasters, no matter how small they are. The primary purpose of this study is to acquire an empirical understanding of the effects of health crises and disasters on international tourism. The SYS-GMM was used to examine the impact of health calamities and crises, carbon footprints from transportation, and green finance on the tourism of 51 countries between 2007 and 2020. The results showed that health crises and natural disasters have a big effect on international tourism. Alternatively, the presence of eco-friendly and secure transportation at tourist destinations has a positive effect on the tourism industry. The results also showed that environmental expenditures have positive short- and long-term effects on international tourism. Furthermore, the sensitivity of travelers to health crises and natural disasters varies over the short and long term. The study also showed that compared to normal times, international tourism dropped by more than 67% during COVID-19. Consequently, this research assists us in comprehending, predicting, and preventing the potential adverse effects of COVID-19 and other similar economic, health disasters and crises that could occur in the future and harm the tourism industry.

Resilience assessment and obstacle factor analysis of urban areas facing waterlogging disasters: a case study of Shanghai, China.

In recent years, accelerated global warming, rainstorms, typhoons, and other natural disasters have been frequently observed, bringing immeasurable direct and indirect economic losses to urban areas. Determining how to further enhance the resilience of urban areas has become an important topic in economic and social development. Therefore, based on waterlogging scenarios, this study uses a more accurate research method combining the subjective evaluation AHP (analytic hierarchy process) method and objective evaluation TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to evaluate the urban resilience of 16 districts of the Shanghai megacity as the research objects and divides the resilience grade results using the ArcGIS natural breakpoint method. The results show that (1) the overall resilience of all districts in Shanghai needs to be further improved. Among the 16 districts in Shanghai, Pudong New Area has the highest urban resilience level. There are more areas with moderate and above-moderate resilience levels, while some areas with low and moderate resilience levels are distributed mainly in the downtown area of Shanghai. (2) Through the analysis of obstacles to the development of urban resilience in the districts of Shanghai, such obstacles tend to be the same under the waterlogging disaster scenarios. Compared to ecological and social policy resilience indices, economic resilience indices and infrastructure resilience indices significantly impact the resilience of urban districts under waterlogging scenarios. The above conclusions can not only help improve the direction of urban resilience governance in various districts of Shanghai but also provide empirical theoretical experience for the resilient construction of urban areas in the future.

New Conceptual Model of Social Sustainability: Review from Past Concepts and Ideas.

The social dimension of sustainability has remained relatively underdefined, despite the efforts to specify and integrate this dimension into the general sustainability conversation of scholars and practitioners. This study aims to advance the conversation of social sustainability by examining past the multi-disciplinary literature and policy documents, as well as proposing a comprehensive conceptual model of social sustainability. We present a model with five dimensions: safety and security, equity, adaptability, social inclusion and cohesion, and quality of life. Through these dimensions, we propose social sustainability as a process that strives for effective management and allocation of social capital as a constitutive resource, and the confrontation of such controllable and uncontrollable risks as natural disasters and climate change. Our model was constructed with the purpose of providing scholars, policymakers, and practitioners with a comprehensive guideline to create social sustainability policy with human beings as the priority and cultural awareness as a grounding approach to initiating disaster-related and climate-change resilience.

Highly sensitive low-frequency-detectable acoustic sensor using a piezoresistive cantilever for health monitoring applications.

This study investigates a cantilever-based pressure sensor that can achieve a resolution of approximately 0.2 mPa, over the frequency range of 0.1-250 Hz. A piezoresistive cantilever with ultra-high acoustic compliance is used as the sensing element in the proposed pressure sensor. We achieved a cantilever with a sensitivity of approximately 40 times higher than that of the previous cantilever device by realizing an ultrathin (340 nm thick) structure with large pads and narrow hinges. Based on the measurement results, the proposed pressure sensor can measure acoustic signals with frequencies as low as 0.1 Hz. The proposed pressure sensor can be used to measure low-frequency pressure and sound, which is crucial for various applications, including photoacoustic-based gas/chemical sensing and monitoring of physiological parameters and natural disasters. We demonstrate the measurement of heart sounds with a high SNR of 58 dB. We believe the proposed microphone will be used in various applications, such as wearable health monitoring, monitoring of natural disasters, and realization of high-resolution photoacoustic-based gas sensors. We successfully measured the first (S1) and second (S2) cardiac sounds with frequencies of 7-100 Hz and 20-45 Hz, respectively.

Climate-Related Natural Disasters: Reflections on an Agenda for Rural Health Research.

The increasing frequency and severity of climate-related disasters will exacerbate the health inequities that already exist between people living in rural communities and those living in urban areas. There is a need to improve understanding of the differences in the impacts on and needs of rural communities, in order that policy, adaptation, mitigation, response and recovery efforts meet the needs of those who are most affected by flooding and who have the fewest resources to mitigate the impact and adapt to the increased flood risk. This paper is a reflection by a rural-based academic on the significance and experience of community-based flood-related research, with a discussion of the challenges and opportunities for research on rural health and climate change. From an equity perspective, there is a need for all analyses of national and regional datasets on climate and health to, wherever possible, examine the differential impacts and policy and practice implications for regional, remote and urban communities. At the same time, there is a need to build local capacity in rural communities for community-based participatory action research, and to enhance this capacity through building networks and collaborations between different researchers based in rural areas, and between rural- and urban-based researchers. We should also encourage the documentation, evaluation and sharing of experience and lessons from local and regional efforts to adapt to and mitigate the impacts of climate change on health in rural communities.

A look beyond climate risk exposure: the impact of incapacity to cope with natural hazards on financial development.

We provide a comprehensive cross-country analysis on the impact of national incapacity to cope with natural hazards (i.e., social shocks, political stability, health care, infrastructure, and material security needed to reduce the harmful effects of natural disasters) on financial development. The panel quantile regression analyses on a global sample of 130 countries generally confirm that the financial development of countries with lower capacity to cope is indeed significantly hampered compared to their peers, especially in countries with low financial development levels. Seemingly unrelated regression (SUR) analyses, which acknowledge the dynamic co-existence between both financial institutions and financial market sectors in a given economy simultaneously, offer notable finer details. For example, the handicapping effect on both sectors tends to apply to only countries with higher climate risks. Lack of coping capacity also exert negative effects on the development of financial institutions in countries of all levels of income but only affect financial markets of high-income group. The more detailed look into different dimensions (financial efficiency, financial access, and financial depth) of financial development is also given in our study. Overall, our findings highlight the vital and complex role of "coping capacity" aspect of climate risk on the sustainable development of financial sectors.

The relationship between exposure to Hurricane Harvey and mortality among nursing home residents.

BACKGROUND: Nursing home (NH) residents are vulnerable to mortality after natural disasters. We examined NH residents' excess all-cause mortality associated with Hurricane Harvey, a unique disaster with long-lasting flooding effects. We also explored how mortality differed between short-stay and long-stay residents and by chronic conditions. METHODS: We conducted a retrospective observational study of Texas NH residents, comparing 30- and 90-day mortality among residents exposed to Hurricane Harvey in August 2017 to residents not exposed in the same location and time period during the previous 2 years. Data came from the Minimum Data Set Assessments and the Medicare Beneficiary Summary File. We used linear probability models to examine the association between hurricane exposure and mortality, adjusting for resident demographics, clinical acuity, and NH fixed effects. Models were stratified by short-stay and long-stay status. We also described differences in mortality by residents' chronic conditions. RESULTS: In 2017, 18,479 Texas NH residents were exposed to Hurricane Harvey. Exposure to Hurricane Harvey was not significantly associated with 30-day mortality. However, 7.6% (95% CI: 7.2, 7.9) of long-stay residents died 90 days after exposure to Harvey, compared to 6.3% (95% CI: 6.0, 6.7) during 2015. Apparently, this effect was driven by chronic obstructive pulmonary disease (COPD) as approximately 9.2% of these residents died within 90 days after Harvey landing compared to 7.2% in 2015 (p < 0.01). CONCLUSIONS: Hurricane exposure appears to have significant consequences for mortality among long-stay NH residents, which appear to materialize over the long-term (90 days post-hurricane in our study) and may not be apparent immediately (30 days post-hurricane in our study). NH residents with COPD may be particularly vulnerable to increased mortality risk following hurricane exposure. The results highlight the need to pay special attention to mortality risk in NH residents, particularly those with COPD, following hurricane exposure.

Economics of natural disasters and technological innovations in Africa: an empirical evidence.

This study provides an empirical analysis of the impact of the disaster on technological innovation by employing the instrumental variable (2SLS) method and instrumental variable fixed-effect method in a panel of 45 African economies from 1990 to 2019. The empirical results confirm disaster's negative and significant impact on innovation. A 1% increase in a disaster will lead to about - 13.750% decrease in scientific journals, - 3.302% decrease in R&D, and - 3.644% decrease in the TFP, respectively. These findings are supported by panel quantile regression. The study identifies four possible channels through which disaster lowers innovation in African economies: (i) reducing trade, (ii) total investment opportunities, and (iii) human capital. Various robustness tests support our findings. Finally, the study bolsters historical capital models for the adoption of cutting-edge technology in the building, provides critical policy recommendations on environmental laws, and advocates for disaster-response policies; decentralization of the energy industry away from disaster-affected areas for greater private sector participation; financial incentives for start-ups to facilitate trade and investment; creating a culture of prevention, preparation, and resilience at all levels via knowledge and innovation; and reconstruction as a method of establishing disaster-resistant structures and habitat to offer a safer living environment.

Status and Prospect of Ecological Environment in the Belt and Road Initiative Regions.

With the widespread recognition and in-depth implementation of the Belt and Road Initiative (BRI), especially in the context of global climate change, the ecological environment of Belt and Road Initiative regions might be confronted with pressures and challenges with rapid socioeconomic development. In response to those potential environmental challenges, China has put forward Green BRI and enriched the new Silk Road with more environmental connotations, aiming to reduce the conflict between economic development and eco-environmental protection. Currently, there is a lack of systematic and holistic research on eco-environmental issues in BRI regions. In addition, feasible solutions to enhance BRI's contribution to the eco-environment remain insufficient. Having systematically reviewed the relevant literature on the eco-environment in BRI regions, we found that most regions along the BRI routes are in sensitive zones of climate and geological change, with fragile eco-environments and strong vulnerability to climate change, natural disasters and human activities. The main eco-environment status of the BRI regions is as follows: (1) The total water resources in BRI regions account for only 36% of the global total, with uneven distribution and complex spatial precipitation, posing higher pressure on water security. (2) Vegetation varies significantly from region to region. The vegetation in South Asia is the richest, with its mean annual NDVI exceeding 0.7. The NDVI in East Europe, Russia and South China are between 0.4 and 0.7, and that in Central Asia and West Asia are below 0.2. (3) The BRI regions are abundantly blessed with natural resources, with the total recoverable oil reserves, natural gas reserves and the total mining area reaching 66%, 65.5% and 42.31% of the world's total, respectively, but severe overexploitation and overconsumption of those resources degrade their eco-environment. Accordingly, future research directions, such as target on integrated, interdisciplinary and coordinated studies on eco-environmental issues in BRI regions, are proposed in this paper to achieve optimization of BRI's contribution to eco-environment protection in BRI regions.

Role of income and government responsiveness in reducing the death toll from floods in Indian states.

Floods are the most commonly occurring natural disasters in India due to India's unique geographical location and socioeconomic conditions. Frequent flooding causes enormous loss of human lives and damage crops and public utilities. Furthermore, floods adversely affect economic development and increase the government's financial burden by increasing spending on various disaster mitigation measures. Recent empirical literature based on cross-national comparisons shows that disaster fatalities and damages are monotonically decreasing in per capita income. We challenge this view on the monotonic negative relationship between income and flood damages. We examine the non-monotonic (inverted U-shaped) relationship between per capita income and flood impact in terms of deaths, people affected, and damages due to floods in 19 major Indian states from 1980 to 2011, using Poisson and Tobit estimation methods. In particular, deaths and the population affected by floods increase with a turning point of income up to 882 US$ and 578 US$, respectively, and diminishes thereafter. Our results confirm an inverted U-shaped relationship between income and fatalities and the population affected by floods. In addition to income, we argue that government responsiveness plays an essential role in mitigating the risk of floods. We employ the fixed-effect Poisson estimation method to examine the government's role in protecting people against disaster risk, focusing on regional differences in India. Deaths from floods remain non-linear and follow the inverted U-pattern with respect to government responsiveness. However, the effect of government responsiveness on flood fatalities and flood damages is statistically insignificant. Our results further suggest that high-income states experience a lower death toll from floods. The high-income (rich) states are capable of incurring a higher threshold level of income and higher natural calamity expenditure to reduce flood fatalities and protect the population affected by floods than the low-income (poor) states. The poor states have minimal resources and face severe financial constraints to reduce the death toll from floods. From the perspective of public policy, the poor states, in particular, require an increase in income, better governance, and effective disaster management policies to mitigate flood impact.

Post-disaster building damage assessment based on improved U-Net.

When a severe natural disaster occurs, the extraction of post-disaster building damage information is one of the methods to quickly obtain disaster information. The increasingly mature high-resolution remote sensing technology provides a solid foundation for obtaining information about building damage. To address the issues with inaccurate building positioning in existing building damage assessment methods, as well as poor classification due to similar minor and major damage characteristics in building damage classification. Based on U-Net, we designed a two-stage building damage assessment network. The first stage is an independent U-Net focused on building segmentation, followed by a Siamese U-Net focused on building damage classification. The Extra Skip Connection and Asymmetric Convolution Block were used for enhancing the network's ability to segment buildings on different scales; Shuffle Attention directed the network's attention to the correlation of buildings before and after the disaster. The xBD dataset was used for training and testing in the study, and the overall performance was evaluated using a balanced F-score (F1). The improved network had an F1 of 0.8741 for localization and F1 of 0.7536 for classification. When compared to other methods, it achieved better overall performance for building damage assessment and was able to generalize to multiple disasters.

Moderating Effect of Personal and Community Resilience on the Relationship Between Disaster Trauma, Disaster Conflict, Economic Loss, and Post-traumatic Stress Disorder.

OBJECTIVE: This study aimed to investigate the effects of disaster trauma, disaster conflict, and economic loss on posttraumatic stress disorder (PTSD), and to verify the moderating effect of personal and community resilience in these relationships. The data of 1914 people, aged 20 or above, who had experienced natural disasters (earthquake, typhoon, flooding) were used. METHODS: Hayes's (2013) PROCESS macro (Model 1) was conducted to verify the moderation effect of personal and community resilience between PTSD and disaster trauma, disaster conflict, and economic loss. RESULTS: Disaster trauma, disaster conflict, and economic loss were found to be positively related to PTSD. Personal and community resilience were negatively related to PTSD. Resilience had a moderating effect on the relationship between disaster trauma, economic loss, and PTSD. However, there was no moderating effect on the relationship between disaster conflict and PTSD. Community resilience had a moderating effect on the relationship between economic loss and PTSD. However, there was no moderating effect on the relationship between disaster trauma, disaster conflict, and PTSD. CONCLUSIONS: The results suggest that personal and community resilience could be used for prevention and therapeutic interventions for disaster victims who experience PTSD.

Market implied volatility and natural disasters: international evidence.

Using daily data, we provide fresh international evidence that an occurrence of natural disaster is accompanied by an increase in the market implied volatility of the main equity index in the same country contemporaneously and in the future. The relation between market implied volatility and natural disaster is a short-run relationship, mainly driven by the subsample of countries with a low frequency of disaster or with developed financial markets. Our analysis shows that in contrast to ex post volatility measures, implied volatility can reflect more climate physical risk information, which provides insight for multinational equity investment in coping with environmental physical risk. Our findings provide insight for multinational equity investment in coping with climate physical risk.

Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning.

Public safety and health cannot be secured without the comprehensive recognition of characteristics and reliable emergency response schemes under the disaster chain. Distinct from emergency resource allocation that focuses primarily on a single disaster, dynamic response, periodic supply, and assisted decision-making are necessary. Therefore, we propose a multiobjective emergency resource allocation model considering uncertainty under the natural disaster chain. Resource allocation was creatively combined with path planning through the proposed multiobjective cellular genetic algorithm (MOCGA) and the improved A* algorithm with avoidance of unexpected road elements. Furthermore, timeliness, efficiency, and fairness in actual rescue were optimized by MOCGA. The visualization of emergency trips and intelligent avoidance of risk areas were achieved by the improved A* algorithm. The effects of logistics performance, coupling of disaster factors, and government regulation on emergency resource allocation were discussed based on different disaster chain scenarios. The results show that disruption in infrastructure support, cascading effect of disasters, and time urgency are additional environmental challenges. The proposed model and algorithm work in obtaining the optimal solution for potential regional coordination and resilient supply, with a 22.2% increase in the total supply rate. Cooperative allocation complemented by political regulation can be a positive action for successfully responding to disaster chains.

In utero exposure to natural disasters and later-life mortality: Evidence from earthquakes in the early twentieth century.

A growing body of research explores the effects of prenatal insults caused by natural disasters on life-cycle outcomes. This paper joins the literature by exploring the long-run effects of prenatal exposure to earthquakes on adulthood and old-age mortality. Using Social Security Administration death records (1975-2005) linked with the full-count 1940 US census and implementing a difference-in-difference methodology, I show that exposure during the first trimester is associated with 1.8 months lower longevity, conditional on survival up to age 34. This effect is equivalent to 22 percent of the white-nonwhite gap in the outcome. The results implicate the relevance of the in-utero period and specifically the onset of pregnancy for later-life health outcomes.

A Review on the Trends in Event Detection by Analyzing Social Media Platforms' Data.

Social media platforms have many users who share their thoughts and use these platforms to organize various events collectively. However, different upsetting incidents have occurred in recent years by taking advantage of social media, raising significant concerns. Therefore, considerable research has been carried out to detect any disturbing event and take appropriate measures. This review paper presents a thorough survey to acquire in-depth knowledge about the current research in this field and provide a guideline for future research. We systematically review 67 articles on event detection by sensing social media data from the last decade. We summarize their event detection techniques, tools, technologies, datasets, performance metrics, etc. The reviewed papers mainly address the detection of events, such as natural disasters, traffic, sports, real-time events, and some others. As these detected events can quickly provide an overview of the overall condition of the society, they can significantly help in scrutinizing events disrupting social security. We found that compatibility with different languages, spelling, and dialects is one of the vital challenges the event detection algorithms face. On the other hand, the event detection algorithms need to be robust to process different media, such as texts, images, videos, and locations. We outline that the event detection techniques compatible with heterogeneous data, language, and the platform are still missing. Moreover, the event and its location with a 24 × 7 real-time detection system will bolster the overall event detection performance.