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  Subjects -> METEOROLOGY (Total: 112 journals)
Showing 1 - 36 of 36 Journals sorted by number of followers
Journal of Atmospheric and Solar-Terrestrial Physics     Hybrid Journal   (Followers: 198)
Nature Climate Change     Full-text available via subscription   (Followers: 133)
Journal of the Atmospheric Sciences     Hybrid Journal   (Followers: 80)
Atmospheric Environment     Hybrid Journal   (Followers: 73)
Atmospheric Research     Hybrid Journal   (Followers: 69)
Climatic Change     Open Access   (Followers: 64)
Journal of Climate     Hybrid Journal   (Followers: 54)
Bulletin of the American Meteorological Society     Open Access   (Followers: 51)
Atmospheric Chemistry and Physics (ACP)     Open Access   (Followers: 48)
Climate Dynamics     Hybrid Journal   (Followers: 44)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 43)
Climate Policy     Hybrid Journal   (Followers: 42)
Nature Reports Climate Change     Full-text available via subscription   (Followers: 37)
Atmospheric Science Letters     Open Access   (Followers: 36)
Journal of Applied Meteorology and Climatology     Hybrid Journal   (Followers: 35)
Journal of Atmospheric and Oceanic Technology     Hybrid Journal   (Followers: 34)
Monthly Weather Review     Hybrid Journal   (Followers: 34)
International Journal of Climatology     Hybrid Journal   (Followers: 31)
Boundary-Layer Meteorology     Hybrid Journal   (Followers: 31)
American Journal of Climate Change     Open Access   (Followers: 29)
Advances in Climate Change Research     Open Access   (Followers: 29)
Journal of Hydrology and Meteorology     Open Access   (Followers: 29)
Developments in Atmospheric Science     Full-text available via subscription   (Followers: 28)
Weather and Forecasting     Hybrid Journal   (Followers: 28)
The Quarterly Journal of the Royal Meteorological Society     Hybrid Journal   (Followers: 27)
Journal of Space Weather and Space Climate     Open Access   (Followers: 27)
Atmosphere     Open Access   (Followers: 26)
Meteorology and Atmospheric Physics     Hybrid Journal   (Followers: 26)
Space Weather     Full-text available via subscription   (Followers: 25)
Advances in Meteorology     Open Access   (Followers: 24)
Energy & Environment     Hybrid Journal   (Followers: 24)
Tellus A     Open Access   (Followers: 22)
Journal of Atmospheric Chemistry     Hybrid Journal   (Followers: 21)
International Journal of Atmospheric Sciences     Open Access   (Followers: 21)
Tellus B     Open Access   (Followers: 21)
Climate Change Economics     Hybrid Journal   (Followers: 20)
Dynamics of Atmospheres and Oceans     Hybrid Journal   (Followers: 19)
Weather     Hybrid Journal   (Followers: 19)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 18)
Global Meteorology     Open Access   (Followers: 17)
Weather and Climate Extremes     Open Access   (Followers: 16)
Atmosphere-Ocean     Full-text available via subscription   (Followers: 15)
Atmospheric Chemistry and Physics Discussions (ACPD)     Open Access   (Followers: 15)
Journal of Meteorology and Climate Science     Full-text available via subscription   (Followers: 14)
Theoretical and Applied Climatology     Hybrid Journal   (Followers: 13)
Monthly Notices of the Royal Astronomical Society     Hybrid Journal   (Followers: 13)
Journal of Hydrometeorology     Hybrid Journal   (Followers: 11)
Atmospheric and Oceanic Science Letters     Open Access   (Followers: 11)
Climate Change Responses     Open Access   (Followers: 10)
Climate Resilience and Sustainability     Open Access   (Followers: 9)
Climate law     Hybrid Journal   (Followers: 8)
Advances in Statistical Climatology, Meteorology and Oceanography     Open Access   (Followers: 7)
Environmental Dynamics and Global Climate Change     Open Access   (Followers: 7)
Climate Change Research Letters     Open Access   (Followers: 7)
Journal of the Meteorological Society of Japan     Partially Free   (Followers: 6)
Mathematics of Climate and Weather Forecasting     Open Access   (Followers: 6)
Climate Research     Hybrid Journal   (Followers: 6)
Aeolian Research     Hybrid Journal   (Followers: 6)
Current Climate Change Reports     Hybrid Journal   (Followers: 6)
Open Journal of Modern Hydrology     Open Access   (Followers: 6)
Climate     Open Access   (Followers: 6)
Change and Adaptation in Socio-Ecological Systems     Open Access   (Followers: 5)
Climate Risk Management     Open Access   (Followers: 5)
The Cryosphere (TC)     Open Access   (Followers: 5)
Dynamics and Statistics of the Climate System     Open Access   (Followers: 5)
Climate of the Past (CP)     Open Access   (Followers: 5)
International Journal of Environment and Climate Change     Open Access   (Followers: 4)
Urban Climate     Hybrid Journal   (Followers: 4)
Environmental and Climate Technologies     Open Access   (Followers: 4)
Carbon Balance and Management     Open Access   (Followers: 4)
Journal of Integrative Environmental Sciences     Hybrid Journal   (Followers: 4)
The Cryosphere Discussions (TCD)     Open Access   (Followers: 4)
Weatherwise     Hybrid Journal   (Followers: 4)
Meteorological Applications     Hybrid Journal   (Followers: 4)
Climate Services     Open Access   (Followers: 3)
Meteorologische Zeitschrift     Full-text available via subscription   (Followers: 3)
Atmósfera     Open Access   (Followers: 3)
Russian Meteorology and Hydrology     Hybrid Journal   (Followers: 3)
Journal of Climatology     Open Access   (Followers: 3)
Ciencia, Ambiente y Clima     Open Access   (Followers: 3)
Frontiers in Climate     Open Access   (Followers: 3)
Economics of Disasters and Climate Change     Hybrid Journal   (Followers: 3)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3)
Atmospheric Environment : X     Open Access   (Followers: 3)
npj Climate and Atmospheric Science     Open Access   (Followers: 3)
Journal of Weather Modification     Full-text available via subscription   (Followers: 2)
Open Atmospheric Science Journal     Open Access   (Followers: 2)
GeoHazards     Open Access   (Followers: 2)
Journal of Climate Change     Full-text available via subscription   (Followers: 2)
Climate and Energy     Full-text available via subscription   (Followers: 2)
International Journal of Image and Data Fusion     Hybrid Journal   (Followers: 2)
Meteorologica     Open Access   (Followers: 2)
Climate Summary of South Africa     Full-text available via subscription   (Followers: 2)
Meteorological Monographs     Hybrid Journal   (Followers: 1)
气候与环境研究     Full-text available via subscription   (Followers: 1)
Journal of Meteorological Research     Full-text available via subscription   (Followers: 1)
Bulletin of Atmospheric Science and Technology     Hybrid Journal   (Followers: 1)
Michigan Journal of Sustainability     Open Access   (Followers: 1)
Tropical Cyclone Research and Review     Open Access   (Followers: 1)
International Journal of Biometeorology     Hybrid Journal   (Followers: 1)
Modeling Earth Systems and Environment     Hybrid Journal   (Followers: 1)
Mediterranean Marine Science     Open Access   (Followers: 1)
Large Marine Ecosystems     Full-text available via subscription   (Followers: 1)
Weather and Climate Dynamics     Open Access  
Journal of Agricultural Meteorology     Open Access  
Nīvār     Open Access  
Revista Iberoamericana de Bioeconomía y Cambio Climático     Open Access  
Mètode Science Studies Journal : Annual Review     Open Access  
Earth Perspectives - Transdisciplinarity Enabled     Open Access  
Climate of the Past Discussions (CPD)     Open Access  
Revista Brasileira de Meteorologia     Open Access  
Studia Geophysica et Geodaetica     Hybrid Journal  

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Similar Journals
Journal Cover
Economics of Disasters and Climate Change
Number of Followers: 3  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2511-1280 - ISSN (Online) 2511-1299
Published by Springer-Verlag Homepage  [2652 journals]
  • Drought and Property Prices: Empirical Evidence from Provinces of Iran
    • Abstract: This study examines the effect of drought on housing and residential land prices in Iran. Using panel data covering the 2006–2015 period for 31 provinces of Iran and applying a dynamic system and the difference Generalized Methods of Moments (GMM) methods, we find that an increase in the balance of water (reducing the severity of drought) within provinces has a positive effect on property prices. Our results are robust, controlling for province fixed effects, time trend, and a set of control variables that may affect property prices.
      PubDate: 2020-12-28
      DOI: 10.1007/s41885-020-00081-0
       
  • The Impacts of the Coronavirus on the Economy of the United States
    • Abstract: We present a formal analysis of the macroeconomic impacts of the COVID-19 pandemic in the U.S., China and the rest of the world. Given the uncertainty regarding the severity and time-path of the infections and related conditions, we examine three scenarios, ranging from a relatively moderate event to a disaster. The study considers a comprehensive list of causal factors affecting the impacts, including: mandatory closures and the gradual re-opening process; decline in workforce due to morbidity, mortality and avoidance behavior; increased demand for health care; decreased demand for public transportation and leisure activities; potential resilience through telework; increased demand for communication services; and increased pent-up demand. We apply a computable general equilibrium (CGE) model, a state-of-the-art economy-wide modeling technique. It traces the broader economic ramifications of individual responses of producers and consumers through supply chains both within and across countries. We project that the net U.S. GDP losses from COVID-19 would range from $3.2 trillion (14.8%) to $4.8 trillion (23.0%) in a 2-year period for the three scenarios. U.S. impacts are estimated to be higher than those for China and the ROW in percentage terms. The major factor affecting the results in all three scenarios is the combination of Mandatory Closures and Partial Reopenings of businesses. These alone would have resulted in a 22.3% to 60.6% decrease in U.S. GDP across the scenarios. Pent-up Demand, generated from the inability to spend during the Closures/Reopenings, is the second most influential factor, significantly offsetting the overall negative impacts.
      PubDate: 2020-12-10
      DOI: 10.1007/s41885-020-00080-1
       
  • COVID-19: The impact of social distancing policies, cross-country analysis
    • Abstract: At the onset of the COVID-19 pandemic a large number of countries introduced a range of non-pharmaceutical interventions. Whereas the policies are similar across countries, country characteristics vary substantially. We examine the effectiveness of such policies using a cross-country variation in socio-economic, environmental and geographic, and health system dimensions. The effectiveness of policies that prescribe closures of schools and workplaces is declining with population density, country surface area, employment rate and proportion of elderly in the population; and increasing with GDP per capita and health expenditure. Cross-country human mobility data reinforce some of these results. We argue that the findings can be explained by behavioural response to risk perceptions and resource constraints. Voluntary practice of social distancing might be less prevalent in communities with lower perceived risk, associated with better access to health care and smaller proportion of elderly population. Higher population density, larger geographical area, and higher employment rate may require more resources to ensure compliance with lockdown policies.
      PubDate: 2020-10-15
      DOI: 10.1007/s41885-020-00076-x
       
  • The Impact of Climate Change on Rice Production in Nepal
    • Abstract: Using panel data from Nepal Living Standard Surveys (NLSSs) from 2003 and 2010, this study investigates the impact of climate change on rice production in Nepal. Specifically, we use stochastic frontier model and incorporate both technical inefficiency and spatial filtering technique to estimate the impact of increases in average and extreme rainfall and temperatures on annual rice production. Our central finding is that a 1°C increase in average summer temperature results in a 4183 kg reduction in rice production. However, we find no evidence of such impact for increases in extreme temperature days. On the other hand, although we do not find a direct link between increases in average monsoon rainfall and rice production, our results show that extreme rainfall variation hurts productivity. Moreover, we find that a large majority of agricultural households in rural Nepal practice technically inefficient production methods. Households in districts with higher road and river densities are more technically efficient despite climate challenges, which suggests that improved irrigation and market access are needed for climate adaptation.
      PubDate: 2020-10-07
      DOI: 10.1007/s41885-020-00079-8
       
  • Projection of the Effects of the COVID-19 Pandemic on the Welfare of
           Remittance-Dependent Households in the Philippines
    • Abstract: The Coronavirus Disease 2019 (COVID-19) is inevitably affecting remittance-dependent countries through economic downturns in the destination countries, and restrictions on travel and sending remittances to their home country. We explore the potential impacts of the COVID-19 pandemic on the welfare of remittance-dependent households using a dataset collected in the Philippines prior to the outbreak. First, we confirm that remittances are associated with welfare of households, particularly for those whose head is male or lower educated. Then, we use the revision of the 2020 GDP projections before and after the COVID-19 crisis to gauge potential impacts on households caused by the pandemic. We find that remittance inflow will decrease by 14–20% and household spending per capita will decline by 1–2% (food expenditure per capita by 2–3%) in one year as a result of the pandemic.
      PubDate: 2020-09-25
      DOI: 10.1007/s41885-020-00078-9
       
  • COVID-19 with Stigma: Theory and Evidence from Mobility Data
    • Abstract: This study conducts both theoretical and empirical analyses of how non-legally-binding COVID-19 policies affect people’s going-out behavior. The theoretical analysis assumes that under a declared state of emergency, the individual going out suffers psychological costs arising from both the risk of infection and the stigma of going out. Our hypothesis states that under a declared state of emergency people refrain from going out because it entails a strong psychological cost. Then, this study estimates a model using regional mobility data and emergency declarations data to analyze self-restraint behavior under a non-legally binding emergency declaration. The results show that, compared with before the declaration of the state of emergency, going-out behavior was suppressed under the state of emergency and after it was lifted even when going out did not result in penalties, which is consistent with the theoretical analysis.
      PubDate: 2020-09-21
      DOI: 10.1007/s41885-020-00077-w
       
  • Accounting for Global COVID-19 Diffusion Patterns, January–April
           2020
    • Abstract: Key factors in modeling a pandemic and guiding policy-making include mortality rates associated with infections; the ability of government policies, medical systems, and society to adapt to the changing dynamics of a pandemic; and institutional and demographic characteristics affecting citizens’ perceptions and behavioral responses to stringent policies. This paper traces the cross-country associations between COVID-19 mortality, policy interventions aimed at limiting social contact, and their interactions with institutional and demographic characteristics. We document that, with a lag, more stringent pandemic policies were associated with lower mortality growth rates. The association between stricter pandemic policies and lower future mortality growth is more pronounced in countries with a greater proportion of the elderly population and urban population, greater democratic freedoms, and larger international travel flows. Countries with greater policy stringency in place prior to the first death realized lower peak mortality rates and exhibited lower durations to the first mortality peak. In contrast, countries with higher initial mobility saw higher peak mortality rates in the first phase of the pandemic, and countries with a larger elderly population, a greater share of employees in vulnerable occupations, and a higher level of democracy took longer to reach their peak mortalities. Our results suggest that policy interventions are effective at slowing the geometric pattern of mortality growth, reducing the peak mortality, and shortening the duration to the first peak. We also shed light on the importance of institutional and demographic characteristics in guiding policy-making for future waves of the pandemic.
      PubDate: 2020-09-04
      DOI: 10.1007/s41885-020-00071-2
       
  • It’s Awful, Why Did Nobody See it Coming'
    • PubDate: 2020-09-01
      DOI: 10.1007/s41885-020-00075-y
       
  • Short-, Medium-, and Long-Term Growth Impacts of Catastrophic and
           Non-catastrophic Natural Disasters
    • Abstract: Using disaster data from 1960, this paper examines the effects of natural disasters on economic growth. The analysis considers disaster effects by combining the following four dimensions: 1) short-, medium-, and long-term impacts, 2) disaster severity, categorized as catastrophic (CAT) or non-catastrophic (NCAT), 3) disaster type: hydro-meteorological, geophysical, and other specific disaster types, and 4) four income groups. The results show that the impacts of a disaster event on economic growth vary depending on the time frame, severity, disaster type, and income level. Overall, CAT disasters have negative impacts regardless of the time frame, while NCAT disasters may have positive impacts depending on the disaster type. The results also indicate that economic growth in lower-middle-income countries is most sensitive to natural disasters, but developed countries also experience negative impacts from CAT disasters.
      PubDate: 2020-09-01
      DOI: 10.1007/s41885-020-00074-z
       
  • Drivers of COVID-19 Stay at Home Orders: Epidemiologic, Economic, or
           Political Concerns'
    • Abstract: What factors affected whether or not a U.S. state governor issued a state-wide stay-at-home order in response to the COVID-19 pandemic of early 2020' Once issued, what factors affected the length of this stay-at-home order' Using duration analysis, we test a number of epidemiological, economic, and political factors for their impact on a state governor’s decision to ultimately issue, and then terminate, blanket stay-at-home orders across the 50 U.S. states. Results indicate that while epidemiologic and economic variables had some impact on the delay to initiation and length of the stay-at-home orders, political factors dominated both the initiation and ultimate duration of stay-at-home orders across the United States.
      PubDate: 2020-08-17
      DOI: 10.1007/s41885-020-00073-0
       
  • Does Stringency of Lockdown Affect Air Quality' Evidence from Indian
           Cities
    • Abstract: The precipitous spread of COVID-19 has created a conflict between human health and economic well-being. To contain the spread of its contagious effect, India imposed a stringent lockdown, and then the stringency was relaxed to some extent in its succeeding phases. We measure social benefits of the lockdown in terms of improved air quality in Indian cities by quantifying the effects with city-specific slope coefficients. We find that the containment measures have resulted in improvement in air quality, but it is not uniform across cities and across pollutants. The level of PM2.5 decreases from about 6 to 25% in many cities. Moreover, we observe that partial relaxations do not help in resuming economic and social activities. It should also be noted that counter-virus measures could not bring levels of the emissions to WHO standards; it highlights the importance of role of green production and consumption activities.
      PubDate: 2020-08-15
      DOI: 10.1007/s41885-020-00072-1
       
  • Understanding the Impact Dynamics of Windstorms on Short-Term Economic
           Activity from Night Lights in Central America
    • Abstract: Central America is particularly prone to tropical storms and hurricanes. The prevailing conditions of poverty and socioeconomic inequality in most countries of the region, along with growing urban agglomerations, make their exposed population especially vulnerable to those extreme weather events. This paper quantifies the causal effects of hurricane windstorms on economic growth using night lights in the Central America region at the highest spatial resolution data available (1 km2). The paper uses a unique data set of monthly night light imageries to capture the temporal disaggregation of hurricane impacts on short-term economic activity. Hurricanes in Central America are often localized events and tend to make landfall during the final months of the year that are better captured through monthly –rather than yearly– frequency data. The results suggest that major hurricanes show negative effects up to 12 months after the hurricane strikes (between −2.6 to −3.9% in income growth at the local level). After that, the analysis finds positive effects during the second year and the first half of the third year as evidence of post-disaster recovery (from 2.5 to 3.6% in income growth). The paper contributes to the literature on natural disasters by providing robust estimates of the causal effects of major hurricane windstorms on Central America, which are negative (in the short term) and positive (two years after hurricanes hit).
      PubDate: 2020-08-14
      DOI: 10.1007/s41885-020-00068-x
       
  • The Impact of Hurricanes on Trade and Welfare: Evidence from US Port-level
           Exports
    • Abstract: Hurricanes cause extensive damage and disruption to ports and coastal infrastructure. However, the overall economic consequences of these storms are not necessarily limited to coastal regions. This paper analyzes the indirect effect of hurricanes on trade by considering the connections between affected and unaffected regions through the reliance on coastal ports. The analysis takes advantage of the exogenous variation in hurricane wind speeds at US customs ports to estimate how hurricane activity influences exports shipments originating in unaffected US states. The findings demonstrate that hurricanes have a severe negative impact on bilateral trade flows. For example, a Category 1 storm hitting a port has a similar effect on exports from unaffected US states as a 4% ad valorem tariff. These port-level disruptions aggregate up to broader trade frictions between US states and importing countries through price indices. The empirical estimates and the structure of the theoretical model are used to evaluate counterfactual hurricane scenarios. For example, foreign importers would have been willing to pay over $4 billion to have avoided the additional trade frictions caused by the 2005 hurricane season. Overall, the results shed light on the role of transportation networks in propagating the potential impacts of stronger hurricanes due to climate change.
      PubDate: 2020-07-23
      DOI: 10.1007/s41885-020-00067-y
       
  • Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty
    • Abstract: The COVID-19 pandemic has caused a massive economic shock across the world due to business interruptions and shutdowns from social-distancing measures. To evaluate the socio-economic impact of COVID-19 on individuals, a micro-economic model is developed to estimate the direct impact of distancing on household income, savings, consumption, and poverty. The model assumes two periods: a crisis period during which some individuals experience a drop in income and can use their savings to maintain consumption; and a recovery period, when households save to replenish their depleted savings to pre-crisis level. The San Francisco Bay Area is used as a case study, and the impacts of a lockdown are quantified, accounting for the effects of unemployment insurance (UI) and the CARES Act federal stimulus. Assuming a shelter-in-place period of three months, the poverty rate would temporarily increase from 17.1% to 25.9% in the Bay Area in the absence of social protection, and the lowest income earners would suffer the most in relative terms. If fully implemented, the combination of UI and CARES could keep the increase in poverty close to zero, and reduce the average recovery time, for individuals who suffer an income loss, from 11.8 to 6.7 months. However, the severity of the economic impact is spatially heterogeneous, and certain communities are more affected than the average and could take more than a year to recover. Overall, this model is a first step in quantifying the household-level impacts of COVID-19 at a regional scale. This study can be extended to explore the impact of indirect macroeconomic effects, the role of uncertainty in households’ decision-making and the potential effect of simultaneous exogenous shocks (e.g., natural disasters).
      PubDate: 2020-07-23
      DOI: 10.1007/s41885-020-00070-3
       
  • Impact of COVID-19 on the Economic Output of the US Outbreak’s
           Epicenter
    • Abstract: Coronavirus disease of 2019 (COVID-19) started in December 2019 in Wuhan, China. In a few months, it has become a pandemic with devastating consequences for the global economy. By the end of June, with almost 2.6 million confirmed COVID-19 cases, United States is above other countries in the rankings. Furthermore, New York with more than 416 thousand cases is the epicenter of outbreak in the US and had more cases than any other countries in the world until first half of June. In this paper, we use a two-step Vector Auto Regressive (VAR) model to forecast the effect of the virus outbreak on the economic output of the New York state. In our model, we forecast the effect of the shutdown on New York’s Gross Domestic Product (GDP) working with Unemployment Insurance Claim series representing a workforce factor, as well as the Metropolitan Transportation Authority (MTA) ridership data indicating the economic activity. We predict annualized quarterly growth rate of real GDP to be between -3.99 to -4.299% for the first quarter and between -19.79 to -21.67% for the second quarter of 2020.
      PubDate: 2020-07-21
      DOI: 10.1007/s41885-020-00069-w
       
  • The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis
    • Abstract: This paper estimates the cost of the lockdown of some sectors of the world economy in the wake of COVID-19. We develop a multi sector disequilibrium model with buyer-seller relations between agents located in different countries. The production network model allows us to study not only the direct cost of the lockdown but also indirect costs which emerge from the reductions in the availability of intermediate inputs. Agents determine the quantity of output and the proportions in which to combine inputs using prices that emerge from local interactions. The model is calibrated to the world economy using input-output data on 56 industries in 44 countries including all major economies. Within our model, the lockdowns are implemented as partial reductions in the output of some sectors using data on sectoral decomposition of capacity reductions. We use computational experiments to replicate the temporal sequence of the lockdowns implemented in different countries. World output falls by 7% at the early stage of the crisis when only China is under lockdown and by 23% at the peak of the crisis when many countries are under a lockdown. These direct impacts are amplified as the shock propagates through the world economy because of the buyer-seller relations. Supply-chain spillovers are capable of amplifying the direct impact by more than two folds. Naturally, the substitutability between intermediate inputs is a major determinant of the amplification. We also study the process of economic recovery following the end of the lockdowns. Price flexibility and minor technological adaptations help in reducing the time it takes for the economy to recover. The world economy takes about one quarter to move towards the new equilibrium in the optimistic and unlikely scenario of the end of all lockdowns. Recovery time is likely to be significantly greater if partial lockdowns persist.
      PubDate: 2020-06-19
      DOI: 10.1007/s41885-020-00066-z
       
  • The Heterogeneous Impact of Post-Disaster Subsidies on Small and Medium
           Firms
    • Abstract: This paper examines the effect of Group Subsidy, which is a post-disaster subsidy for restoring and repairing facilities destroyed by great disasters, on the recovery of Japanese small- and medium-sized enterprises (SMEs) following the Great East Japan Earthquake. Group Subsidy was introduced in 2011 and continues to be reapplied in Japan. To assess the impact of this relatively new policy, we use rich firm-level data for firms in Japan that include information on supply-chain ties among them. Our estimates based on propensity score matching show that the subsidy was effective for the recovery of the performance of SMEs in the retail, manufacturing, construction, and energy sectors. However, the positive effect of the subsidy is largely reduced if the SMEs have links outside the disaster areas, except for firms in the construction and energy sector. In the service and wholesale sector, we find no significant difference between the recovery of SMEs with and without the subsidy.
      PubDate: 2020-06-18
      DOI: 10.1007/s41885-020-00065-0
       
  • Ex-Post Coping Responses and Post-Disaster Resilience: a Case from the
           2015 Nepal Earthquake
    • Abstract: Using primary data gathered from a field survey in Sindhupalchowk, Nepal following the 7.8 magnitude earthquake in 2015, this paper investigates the role that households’ ex-post coping responses play in their economic and psychosocial recovery after disasters. For empirical estimation, we use a full-information multi-equation system and allow for contemporaneous correlation across equations to account for the processes that influence households’ responses. We find that financial access and labor adjustment opportunities increase the likelihood of higher economic resilience. On the other hand, while the adoption of financial coping strategies contributes to higher psychosocial resilience, we find that labor adjustment choices may disrupt family and social dynamics, thereby decreasing psychosocial resilience. Based on these findings, we argue that top-down post-disaster policy approaches face challenges in identifying tradeoffs across different aspects of wellbeing. Our findings underscore the importance of mobilizing local institutions and expanding market and non-market alternatives for post-disaster recovery.
      PubDate: 2020-05-30
      DOI: 10.1007/s41885-020-00064-1
       
  • The Impacts of Climate Change and Natural Disasters on Agriculture in
           African Countries
    • Abstract: Climate change and natural disasters are the main risks to African agricultural production. Given that these factors affect poor countries more, we attempted to identify the economic taxonomy that can adequately describe the most affected African countries and the countries that can cope with these factors. This study explored the impacts of climate change and natural disasters on the total agricultural production in African countries while differentiating these countries by the income level and Least Developed Countries taxonomies. Two country-level panel data were collected covering 55 and 26 years in Africa for this purpose. The findings of this study first highlight that in the long and short terms, temperature is the main climatic factor affecting agricultural production. Second, in the short term, droughts negatively impact African agrarian production regardless of the countries’ development states. Third, the poor countries in these respective taxonomies significantly experienced the negative impacts of climate change and natural disasters. However, the impact of climate factors on agricultural production in middle-income countries and non-least developed countries are less evident. The heterogeneity of the impact of climate change and natural disasters on agriculture across African countries based on their development states. Therefore, the agriculture policy needs to implement as priority in low income or least developed African countries.
      PubDate: 2020-01-09
      DOI: 10.1007/s41885-019-00057-9
       
  • Disaster Damage Records of EM-DAT and DesInventar: A Systematic Comparison
    • Abstract: This study compares the disaster damage records of two of the most widely used disaster databases - EM-DAT and DesInventar for a selected sample of 70 countries over the period 1995–2013. We consider four types of natural disasters – droughts, floods, earthquakes and storms and use descriptive statistics to compare the records of the two databases for the selected datasets in terms of all recorded events, matched events and large-scale events along with few country-specific comparisons. We note significant differences in the damage estimates reported in the two selected datasets. The comparison of the damage estimates for all recorded events shows that the DesInventar dataset has greater number of recorded events than the EM-DAT. The descriptive statistics of the former exhibits larger mean and standard deviation across all disaster types compared to that for the latter. The same is true for the comparison of large-scale disaster events and country-specific comparisons with the DesInventar dataset having higher number of recorded events and larger values for descriptive statistics for the selected country-year. On the contrary, for the hand-matched events data, EM-DAT shows larger mean disaster damages along with a higher statistical range compared to the DesInventar dataset. The basic structure of the datasets and the data collection methods may influence the magnitude of the recorded damages along with possible human errors while data entering. The present study further highlights the need for a more systematic and standardized disaster damages database which is critical to achieve the first priority action ‘understanding disaster risk’ of the Sendai Framework for Disaster Risk Reduction.
      PubDate: 2019-12-10
      DOI: 10.1007/s41885-019-00052-0
       
 
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