scholarly journals The Impact of Natural Disasters on Livestock Sector: A Review

2021 ◽  
Vol 2 (8) ◽  
pp. 669-674
Author(s):  
Sanober Rasool ◽  
Hamdani SA ◽  
Niha Ayman ◽  
Aaliya Fayaz ◽  
Sheikh Shubeena ◽  
...  

The Livestock sector plays a central role in nature resource based livelihood of the vast majority of population and often considered as the poor people’s ATM. They are kept as a unit of production and provide an important source of revenue, employment and wealth. However this sector is facing a number of problems like bad health, shortage of feed and fodder, increase incidence of emerging and reemerging diseases etc and the most drastic amongst them being the Natural disasters like earthquake, floods, volcanoes etc. This paper gives a brief idea about the ill effects of natural disasters on the health of livestock, thereby effecting their production and productivity along with the various strategies to be kept in mind while dealing with disaster like event.

Author(s):  
Antónia Correia ◽  
Alain Decrop

Vulnerable is how we are nowadays. In fact, the impact of the Covid-19 pandemic is neither time limited nor spatially contained. But like many other natural disasters, the pandemic brought calamities and inequalities (Shklar, 1990), threatens the environment and raises a problem of precarity that is no longer limited to the poor and dependent as contagion patterns have no boundaries (Forester & McKibbon, 2020). So even more than revealing the vulnerability wealthy countries are facing, the pandemic forces us to recognize our progressively more interdependent lives in a globalized world and the responsibility to safeguard the planet. Economies all over the world were hindered by Covid-19 but tourism was completely devasted by this pandemic. In the first five months of 2020, international tourism arrivals decreased by more than half and some $320 billion dollars in exports from tourism were lost. Overall, some 120 million direct jobs in tourism are at risk (WTO, 2020). The current situation recalls emergency status for countries that depend on tourism and for minorities that may find in tourism a driver to social integration, empowerment and income. The Covid-19 crisis offers opportunities to rebuild tourism in a safe, equitable and sustainable way. To that end technology, partnerships and sustainable and responsible practices are strategic.


Author(s):  
Madhuri . ◽  
Hare R. Tewari ◽  
Pradip K. Bhowmick

Vulnerability is the capacity to anticipate, cope with, resist and recover from the impact of natural disasters. Floods add to the distressed conditions of the poor and vulnerable people in Bihar. Floods have a different impact on households depending on differences in their livelihood choices. Therefore, in order to identify the variability in vulnerability of affected households, the livelihood vulnerability index (LVI) of Hahn, Riederer and Foster was modified according to the context of the study area. The LVI aims to identify sources and forms of vulnerability that are specific to the context in order to design context-specific resilience measures. However, vulnerability and resilience are not interdependent but discrete entities. The study was conducted in the seven blocks of Bhagalpur district in the state of Bihar. Naugachia was found to be the least vulnerable because of better access to basic amenities and livelihood strategies, whilst Kharik was found to be highly vulnerable in respect to other blocks because of high sensitivity and less adaptive strategy. The study also revealed that better access to resources does not necessarily mean that households are adopting resilience measures because of apathetic or indifferent attitudes.


2021 ◽  
Author(s):  
◽  
Azreen Karim

<p>This thesis consists of four self-contained papers in the areas of disaster risk and economic development. Chapter One provides a qualitative survey of the empirical literature on the nexus among poverty, inequality and natural disasters. The last few years have seen an explosion of economic research on the consequences of natural disasters. This new interest is attributable first and foremost to a growing awareness of the potentially catastrophic nature of these events, but also a result of the increasing awareness that natural disasters are social and economic events. Here, we survey the literature that examines the direct and indirect impact of natural disaster events specifically on the poor and their impact on the distribution of income within affected communities and societies.  With a meta-regression analysis of the existing literature on the impacts of disasters on households in Chapter Two, we observe several general patterns. Incomes are clearly impacted adversely, with the impact observed specifically in per-capita measures. Consumption is also reduced, but to a lesser extent than incomes. Poor households appear to smooth their food consumption by reducing the consumption of non-food items; in particular health and education, and this suggests potentially long-term adverse consequences. Given the limits of our methodology and the paucity of research, we find no consistent patterns in long-term outcomes. We place disaster risk to the poor within the context of sustainable development and future climatic change.  Our objective In Chapter Three is to identify all of the directly observable determinants’ of publicly allocated and realized spending for disaster risk reduction (DRR) at the local government (sub-district) level in Bangladesh. We employ the Heckman two-stage selection model with detailed public finance and other data from 483 sub-districts (Upazilas) across the country. While some of our results conform with our priors, our estimations surprisingly find that government does not respond to the sub-district’s risk exposure as a factor affecting the DRR financing mechanism. This variable is consistently counter-intuitively statistically insignificant. The DRR regional allocations do not seem to be determined by risk and exposure, only weakly by vulnerability, nor even by more transparent political economy motivations.  In Chapter Four, we examine the short-run economic impacts of recurrent flooding on Bangladeshi households surveyed in 2000, 2005 and 2010. In 2010 Household Income and Expenditure Survey (HIES), households answered a set of questions’ on whether they were affected by flood and its likely impacts. We identify two treatment (affected) groups by using the self-reported data and historical rainfall data based flood risk index. We estimate a difference-in-difference (DID) model to quantify the impacts on income, expenditure, asset and labour market outcomes and further extend our analysis to different income and expenditure brackets. Overall, we find robust evidence of negative impacts on agricultural income and expenditure. Intriguingly, the extreme poor (i.e. the bottom 15th quintile) experience significant positive impacts on agricultural income in the self-reported treatment case.</p>


2021 ◽  
Author(s):  
◽  
Azreen Karim

<p>This thesis consists of four self-contained papers in the areas of disaster risk and economic development. Chapter One provides a qualitative survey of the empirical literature on the nexus among poverty, inequality and natural disasters. The last few years have seen an explosion of economic research on the consequences of natural disasters. This new interest is attributable first and foremost to a growing awareness of the potentially catastrophic nature of these events, but also a result of the increasing awareness that natural disasters are social and economic events. Here, we survey the literature that examines the direct and indirect impact of natural disaster events specifically on the poor and their impact on the distribution of income within affected communities and societies.  With a meta-regression analysis of the existing literature on the impacts of disasters on households in Chapter Two, we observe several general patterns. Incomes are clearly impacted adversely, with the impact observed specifically in per-capita measures. Consumption is also reduced, but to a lesser extent than incomes. Poor households appear to smooth their food consumption by reducing the consumption of non-food items; in particular health and education, and this suggests potentially long-term adverse consequences. Given the limits of our methodology and the paucity of research, we find no consistent patterns in long-term outcomes. We place disaster risk to the poor within the context of sustainable development and future climatic change.  Our objective In Chapter Three is to identify all of the directly observable determinants’ of publicly allocated and realized spending for disaster risk reduction (DRR) at the local government (sub-district) level in Bangladesh. We employ the Heckman two-stage selection model with detailed public finance and other data from 483 sub-districts (Upazilas) across the country. While some of our results conform with our priors, our estimations surprisingly find that government does not respond to the sub-district’s risk exposure as a factor affecting the DRR financing mechanism. This variable is consistently counter-intuitively statistically insignificant. The DRR regional allocations do not seem to be determined by risk and exposure, only weakly by vulnerability, nor even by more transparent political economy motivations.  In Chapter Four, we examine the short-run economic impacts of recurrent flooding on Bangladeshi households surveyed in 2000, 2005 and 2010. In 2010 Household Income and Expenditure Survey (HIES), households answered a set of questions’ on whether they were affected by flood and its likely impacts. We identify two treatment (affected) groups by using the self-reported data and historical rainfall data based flood risk index. We estimate a difference-in-difference (DID) model to quantify the impacts on income, expenditure, asset and labour market outcomes and further extend our analysis to different income and expenditure brackets. Overall, we find robust evidence of negative impacts on agricultural income and expenditure. Intriguingly, the extreme poor (i.e. the bottom 15th quintile) experience significant positive impacts on agricultural income in the self-reported treatment case.</p>


Author(s):  
Jock R. Anderson ◽  
Regina Birner ◽  
Latha Najarajan ◽  
Anwar Naseem ◽  
Carl E. Pray

Abstract Private agricultural research and development can foster the growth of agricultural productivity in the diverse farming systems of the developing world comparable to the public sector. We examine the extent to which technologies developed by private entities reach smallholder and resource-poor farmers, and the impact they have on poverty reduction. We critically review cases of successfully deployed improved agricultural technologies delivered by the private sector in both large and small developing countries for instructive lessons for policy makers around the world.


2021 ◽  
pp. 135406612110014
Author(s):  
Glen Biglaiser ◽  
Ronald J. McGauvran

Developing countries, saddled with debts, often prefer investors absorb losses through debt restructurings. By not making full repayments, debtor governments could increase social spending, serving poorer constituents, and, in turn, lowering income inequality. Alternatively, debtor governments could reduce taxes and cut government spending, bolstering the assets of the rich at the expense of the poor. Using panel data for 71 developing countries from 1986 to 2016, we assess the effects of debt restructurings on societal income distribution. Specifically, we study the impact of debt restructurings on social spending, tax reform, and income inequality. We find that countries receiving debt restructurings tend to use their newly acquired economic flexibility to reduce taxes and lower social spending, worsening income inequality. The results are also robust to different model specifications. Our study contributes to the globalization and the poor debate, suggesting the economic harm caused to the less well-off following debt restructurings.


2020 ◽  
Vol 10 (03) ◽  
pp. e342-e345
Author(s):  
Jacques Balayla ◽  
Ariane Lasry ◽  
Yaron Gil ◽  
Alexander Volodarsky-Perel

AbstractOver the last 30 years, the caesarean section rate has reached global epidemic proportions. This trend is driven by multiple factors, an important one of which is the use and inconsistent interpretation of the electronic fetal monitoring (EFM) system. Despite its introduction in the 1960s, the EFM has not definitively improved neonatal outcomes, yet it has since significantly contributed to a seven-fold increase in the caesarean section rate. As we attempt to reduce the caesarean rates in the developed world, we should consider focusing on areas that have garnered little attention in the literature, such as physician sensitization to the poor predictive power of the EFM and the research method biases that are involved in studying the abnormal heart rate patterns—umbilical cord pH relationship. Herein, we apply Bayes theorem to different clinical scenarios to illustrate the poor predictive power of the EFM, as well as shed light on the principle of protopathic bias, which affects the classification of research outcomes among studies addressing the effects of the EFM on caesarean rates. We propose and discuss potential solutions to the aforementioned considerations, which include the re-examination of guidelines with which we interpret fetal heart rate patterns and the development of noninvasive technologies that evaluate fetal pH in real time.


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