Well-being effects of extreme weather events in the United States

The increase in weather and climate disasters in recent years has prompted an interest in analyzing their consequences and the mitigation and adaptation measures that can help minimize their potentially large impacts on individuals’ welfare. We match thirty-one billion-dollar disasters with individual survey data from the Behavioral Risk Factor Surveillance System to estimate the effect of extreme weather events on the subjective well-being of U.S. residents. Our results indicate that natural disasters have a negative and robust impact on subjective well-being in the affected communities, and that, on average, this impact peaks 6 months after the event, and then decays over time. We then investigate the attenuating impact of health care access, flood insurance, and governmental assistance programs and find a partial compensating role for risk-transfer and relief measures. We also find that stronger emotional and social support mitigates the negative impact of natural disasters.     

气候变化下湖北省稻谷生长期降雨量指数保险设计

[目的]气候变化对我国粮食生产造成巨大损失,传统农业保险存在较多问题,天气指数农业保险作为金融创新工具,成为转移农业天气风险的有力路径。[方法]文章在分析降雨量指数保险合约设计思路的基础上,依照天气指数保险合约定义,选取稻谷生长期每日降水的累积降雨量作为天气指标,采用经济—气候模型和湖北省78个县市的面板数据,按风险区域分别设计了干旱指数保险合约和暴雨灾害指数保险合约。[结果]虽然湖北省全省累积降水的影响总体是负向的,但累积降水量对稻谷单产在十堰、襄阳等干旱区域的边际影响是正向的、显著的,累积降水量在暴雨集中区域江汉平原地区、咸宁市及辖内县市,有着显著的负向影响。[结论]气候变化对粮食生产的影响显著,根据面板数据的估计结果,有必要按不同的风险区域分别设计天气指数保险合约。该文的研究在天气指数保险设计方面做出了一定的探索,进一步使天气指数保险合约成为转移农业天气风险的有力创新工具。     

Bouncing Back from Extreme Weather Events: Some Preliminary Findings on Resilience Barriers Facing Small and Medium‐Sized Enterprises

Extreme weather events (EWEs) pose unprecedented threats to modern societies and represent a much‐debated issue strongly interlinked with current development policies. Small and medium‐sized enterprises (SMEs), which constitute a driving force of economic growth, employment and total value added, remain highly vulnerable to and ill prepared for such environmental perturbations. This study investigates barriers to SMEs’ resilience to EWEs in an attempt to shed light on enabling factors that can define effective organizational responses to non‐linear environmental stimuli. Relying on structural equation modeling and data gathered from 109 SMEs that recently experienced EWE impacts, we link the general concept of SMEs’ resilience barriers to EWEs with a series of elements to determine specific internal and external factors that contribute the most to EWE resilience. In particular, external barriers of institutional conditions and mechanisms of support and guidance as well as internal barriers of resources and managerial perceptions are found to be the most critical ones in determining resilience. The assessment offers essential research evidence for practitioners on SME management and sets forth linkages with current mechanisms for policy interventions towards an appropriate resilience agenda for SMEs. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment     

Model Comparison for Temperature-Based Weather Derivatives in Mainland China

Abstract:

In this paper, we provide a comparison of two models of temperature-based weather derivatives. The Alaton et al. model (2002) and the continuous-time autoregressive (CAR) model of Benth et al. (2007) are applied to temperature data from twelve cities in China. The objective is to determine which is the better model for temperature derivative modeling in Chinese cities. We found the CAR model to be more accurate in terms of normality of residuals and smaller relative errors. However, the shortcomings of both the Alaton et al. model and the CAR model are revealed in this study as well.     

如何发挥产业转移的雾霾治理效应?——基于长三角地区的实证研究

为探究如何借助产业转移实现雾霾污染的有效治理,文章以长三角地区内各城市 PM2.5 日均浓度为样本,在运用 Hsiao 格兰杰因果检验等计量方法揭示了区域内城市间雾霾污染溢出效 应具体特征的基础上,指出了怎样的产业转移才能实现雾霾治理的效果。实证结果表明:(1)区 域内各城市雾霾污染的溢出效应是普遍存在的;(2)各城市雾霾溢出效应的强弱与其地理位置有 关;(3)污染程度较高的城市并不一定呈现出更强的溢出效应。故结合产业现状来看,现行的产 业转移并不能有效缓解长三角地区的雾霾污染问题,必须结合雾霾污染及溢出特征调整产业转移 政策、优化产业转移方向,实施区域协同治理、集中化高效治理。     

State‐contingent analysis of farmers’ response to weather variability: irrigated dairy farming in the Murray Valley,Australia

The agricultural sector is commonly regarded as one of the most vulnerable to climate change. Current understanding of the impact of climate change on this sector relies on the underlying assumptions about farmers’ possible responses to weather variability, including changes in crop choice, input combinations and land management practices. Many previous analyses rely on the implicit (and restrictive) assumption that farmers operate under a fixed technology set across different states of nature. This assumption, represented through stochastic production or profit functions, is commonly made but seldom tested and may understate farmers’ responses to climate change if state‐contingent production technologies are, in reality, more flexible. The potential for farmers to adapt production technologies in response to unforeseen events is at the core of the state‐contingent approach. Advanced in Chambers and Quiggin (2000), the theory contends that producers can manage uncertainty through the allocation of productive inputs to different states of nature. In this article, we test the assumption that farmers’ observed behaviour is consistent with the state‐contingent production theory using farm‐level data from Australia. More precisely, we estimate the milk production technology for a sample of irrigated dairy farms from the southern Murray–Darling Basin over the period from 2006–2007 to 2009–2010.     

Assessment of non-recurrent congestion caused by precipitation using archived weather and traffic flow data

Since precipitation has a negative impact on traffic congestion, there have been various studies for modeling the relationship between precipitation and its impact on traffic flow. However, due to limitations on existing data, none of the previous studies have accounted for the estimation of the total delay caused by precipitation. The objective of this study is to estimate the non-recurrent traffic congestion on freeways caused by precipitation. To accomplish this objective, archived weather and traffic data for the year 2008 from the Korean Freeway Systems was collected and analyzed. As a result, non-recurrent traffic congestion was about 1.6 million vehicle-hours due to rainfall and 186,000 vehicle-hours due to snowfall in 2008. In addition, simple analyses were performed to describe the average non-recurrent traffic congestion per unit distance as a function of precipitation and a function of the time period of precipitation. Although precipitation events might not be handled by human efforts, these results will assist in making strategic plans such as active speed management and contingency planning for mitigating traffic congestion due to precipitation.     

沙尘暴对人体健康的影响及防治措施

沙尘暴是我国北方主要的灾害性天气。沙尘天气可造成烟尘与粉尘携带细菌侵入人体呼吸道,沉积在人体的肺部,引发呼吸道疾病并被肺泡吸收进入血液循环,导致其他器官疾病,危害人的身体健康。本文从沙尘暴天气的形成及对人体健康影响入手,提出了指导性的防治措施。     

Tourist Perceptions of Climate Change: A Study of International Tourists in Zanzibar

A study was conducted in Zanzibar, Tanzania, in order to understand tourist perceptions of climate change, the importance of climate for travel decisions, and the likely consequences of ongoing climate change for travel decisions. The results show that climatic characteristics of destinations are important, though not the only factor shaping travel decisions. Under a scenario of climate change, certain climate variables, such as more rain, storms, and higher humidity are also likely to negatively influence travel decisions, rather than higher temperatures alone, which are not necessarily perceived as negative. Regarding the contribution of travel to climate change, the study reveals that leisure tourists in Zanzibar are largely unaware of their impact on the natural environment, while the analysis of stated travel behaviour shows that they frequently travel by air. Overall, the results indicate that travel flows might change in more complex ways than currently assumed, and that a small share of high-intensity air travellers is responsible for a considerable environmental impact in terms of climate change.     

Agricultural disaster payments in the southeastern US: do weather and climate variability matter?

Governments around the world are forced to react to disasters caused by weather. The agricultural sector is particularly susceptible to weather extremes and adverse climate conditions. In the US, agricultural disaster payments account for a significant part of total agricultural subsidies. The payments, and their distribution, are more important in the areas most affected by disastrous weather events, usually coinciding with areas of pronounced impact of the El Nino Southern Oscillation (ENSO). In this article, the impact of weather and climate, as well as some economic variables, on disaster payments is analysed using county level data from four states in the southeastern United States. The results suggest that weather and climate variables explain most of the crop disaster payments at the county level while socioeconomic variables do not, suggesting that advancements in weather and climate forecasts could be helpful in planning for disaster compensation.