scholarly journals Ethical Implication of Genetic Gender Manipulation for Economic Recession

2019 ◽  
Vol 10 (3) ◽  
pp. 1-4
Author(s):  
Osebor Ikechukwu Monday ◽  
Stephen CC Chukwuma Esq

A recession is a significant decline in economic activities. The effects of economic recession include general economic decline, drop in the stock market and increase in unemployment. While some have argued that bilateral relationship among nations is an ethical response to problem of economic recession but it does not solve the problem. The paper suggests genetic gender determination. Genetic gender determination is an agent-based ethics. It involves the scientific manipulation of the fetus of a woman to determine the gender of her offspring. Ethical issues linked to genetic gender determination, unbalance sex ratio, manipulation of genome, and possible spread of infectious or communicable diseases. The paper concludes that the genetic gender determination would help to cushion the effects of economic recession.

2017 ◽  
Vol 14 (02) ◽  
pp. 103-110
Author(s):  
S. Tomassi ◽  
M. Ruggeri

Summary Background: The global crisis that began in 2007 has been the most prolonged economic recession since 1929. It has caused worldwide tangible costs in terms of cuts in employment and income, which have been widely recognised also as major social determinants of mental health (1, 2). The so-called “Great Recession” has disproportionately affected the most vulnerable part of society of the whole Eurozone (3). Across Europe, an increase in suicides and deaths rates due to mental and behavioural disorders was reported among those who lost their jobs, houses and economic activities as a consequence of the crisis.


Author(s):  
Sven Arntzen

Dignity, according to one conception, is the absolute, inherent and inalienable value of every person. There is general agreement that this idea of dignity has a source in Immanuel Kant’s moral philosophy. I argue that Kant formulates what I characterize as an agency or agent based conception of dignity. Persons are bearers of dignity in their capacity as moral subjects and subjects of action. Central here is the idea that a rational agent is the subject of “any end whatsoever” and so must be considered the free cause of actions. Accordingly, to be treated merely as a thing, or “as a means”, is to be treated in a manner incompatible with having and acting for the sake of any end of one’s choosing. Also relevant in this connection is Alan Gewirth’s agency based theories of dignity and of human rights. I then consider this conception of dignity in addressing three ethical issues: to let die or keep alive, assisted suicide, and so-called dwarf-tossing. Finally, I consider challenges to the idea of dignity in general and the agency based conception of dignity in particular.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Cristian BRAGHINĂ ◽  
Daniel PEPTENATU ◽  
Cristian DRAGHICI

In the strategies of regional development, an increasing importance is given to identifying the possibilities of endogenous development which, besides the exogenous impulses, contributes to an optimal development of local economies. Gorj County is one of the counties which recorded a major economic decline following the restructuring of economic activities. These counties need interventions at the strategic level, in order to identify the development alternatives, based on the capitalization of local resources. Following the analysis of the relation between the enterprise initiative and development, the way in which it has become fundamental for the development of a geographical space was clearly underlined. The analysis of this determination offers a well documented scientific support to the local and central authorities; this support regards the development of the enterprise initiative in territorial profile and, on this basis, it offers concrete solutions, based on decisional chains, which will have as a result the attenuation of the imbalance within the territorial profile. The endogenous development of the territorial systems may contribute to the sustainability of the cohesion process at local, regional and national levels.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255031
Author(s):  
Hiroyasu Inoue ◽  
Yohsuke Murase ◽  
Yasuyuki Todo

To prevent the spread of COVID-19, many cities, states, and countries have ‘locked down’, restricting economic activities in non-essential sectors. Such lockdowns have substantially shrunk production in most countries. This study examines how the economic effects of lockdowns in different regions interact through supply chains, which are a network of firms for production, by simulating an agent-based model of production using supply-chain data for 1.6 million firms in Japan. We further investigate how the complex network structure affects the interactions between lockdown regions, emphasising the role of upstreamness and loops by decomposing supply-chain flows into potential and circular flow components. We find that a region’s upstreamness, intensity of loops, and supplier substitutability in supply chains with other regions largely determine the economic effect of the lockdown in the region. In particular, when a region lifts its lockdown, its economic recovery substantially varies depending on whether it lifts the lockdown alone or together with another region closely linked through supply chains. These results indicate that the economic effect produced by exogenous shocks in a region can affect other regions and therefore this study proposes the need for inter-region policy coordination to reduce economic loss due to lockdowns.


2021 ◽  
Vol 3 ◽  
Author(s):  
Anzhelika Antipova ◽  
Ehsan Momeni

Urban studies related to previous pandemics and impacts on cities focused on vulnerable categories including poor and marginalized groups. We continue this tradition and analyze unemployment outcomes in a context of a multi-dimensional social disadvantage that is unfolding during the ongoing public health crisis. For this, we first propose an approach to identify communities by social disadvantage status captured by several key metrics. Second, we apply this methodology in the study of the effect of social disadvantage on unemployment during the COVID-19 and measure the COVID-19-related economic impact using the most recent data on unemployment. The study focuses upon vulnerable communities in in the southeastern US (Tennessee) with a concentration of high social vulnerability and rural communities. While all communities initially experienced the impact that was both sudden and severe, communities that had lower social disadvantage pre-COVID were much more likely to start resuming economic activities earlier than communities that were already vulnerable pre-COVID due to high social disadvantage with further implications upon community well-being. The impact of social disadvantage grew stronger post-COVID compared with the pre-pandemic period. In addition, we investigate worker characteristics associated with adverse labor market outcomes during the later stage of the current economic recession. We show that some socio-demographic groups have a systematically higher likelihood of being unemployed. Compared with the earlier stages, racial membership, poverty and loss of employment go hand in hand, while ethnic membership (Hispanics) and younger male workers are not associated with higher unemployment. Overall, the study contributes to a growing contemporaneous research on the consequences of the COVID-19 recession. Motivated by the lack of the research on the spatial aspect of the COVID-19-caused economic recession and its economic impacts upon the vulnerable communities during the later stages, we further contribute to the research gap.


2021 ◽  
Vol 2 (5) ◽  
pp. 124-134
Author(s):  
Waqas Mehmood ◽  
Rasidah Mohd-Rashid ◽  
Attia Aman Ullah ◽  
Owais Shafique

The purpose of this study is to describe the COVID-19 situation in Malaysia and the way the government of Malaysia manages the impact of this pandemic through economic recovery packages such as economic stimulus packages. This study focuses on the effects of the economic stimulus packages released by the government of Malaysia as a response to the economic recession triggered by COVID-19. Malaysia is one of the favourite tourist destinations, and the tourism industry generates about 5.9% of the country’s GDP. However, the lockdown imposed by the Malaysian government to combat the COVID-19 pandemic has severely affected almost every sector of the economy. The Malaysian government has taken several steps to control the spread of the pandemic, such as declaring hotspots of COVID-19, imposing lockdowns, and creating mass scale awareness through social media and TV channels. The government has also deployed several economic strategies such as economic stimulus packages to help industries and the people. This study concludes that the mitigation techniques, i.e., economic stimulus packages adopted are working properly; however, some improvements are required as these techniques are inadequate to manage the transmission capability and virulence of COVID-19. Thus, more attention is required for the revival of economic activities. This study helps to obtain an insight into the effects of economic packages and how effective these packages have been in managing the spread of the COVID-19 virus and mitigating the economic recession. It also provides an understanding of how these packages will help flatten the pandemic curve in the future. This study provides information on the current COVID-19 situation in Malaysia. It also offers information on the policies and methods used by the government to solve economic and public health issues. Further, this study lays out guidelines for policymakers and government officials for the development of more effective strategies for economic recovery and public health initiatives.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Cristian BRAGHINĂ ◽  
Daniel PEPTENATU ◽  
Cristian DRAGHICI

In the strategies of regional development, an increasing importance is given to identifying the possibilities of endogenous development which, besides the exogenous impulses, contributes to an optimal development of local economies. Gorj County is one of the counties which recorded a major economic decline following the restructuring of economic activities. These counties need interventions at the strategic level, in order to identify the development alternatives, based on the capitalization of local resources. Following the analysis of the relation between the enterprise initiative and development, the way in which it has become fundamental for the development of a geographical space was clearly underlined. The analysis of this determination offers a well documented scientific support to the local and central authorities; this support regards the development of the enterprise initiative in territorial profile and, on this basis, it offers concrete solutions, based on decisional chains, which will have as a result the attenuation of the imbalance within the territorial profile. The endogenous development of the territorial systems may contribute to the sustainability of the cohesion process at local, regional and national levels.


Computers ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 99
Author(s):  
Sultan Daud Khan ◽  
Louai Alarabi ◽  
Saleh Basalamah

COVID-19 caused the largest economic recession in the history by placing more than one third of world’s population in lockdown. The prolonged restrictions on economic and business activities caused huge economic turmoil that significantly affected the financial markets. To ease the growing pressure on the economy, scientists proposed intermittent lockdowns commonly known as “smart lockdowns”. Under smart lockdown, areas that contain infected clusters of population, namely hotspots, are placed on lockdown, while economic activities are allowed to operate in un-infected areas. In this study, we proposed a novel deep learning prediction framework for the accurate prediction of hotpots. We exploit the benefits of two deep learning models, i.e., Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) and propose a hybrid framework that has the ability to extract multi time-scale features from convolutional layers of CNN. The multi time-scale features are then concatenated and provide as input to 2-layers LSTM model. The LSTM model identifies short, medium and long-term dependencies by learning the representation of time-series data. We perform a series of experiments and compare the proposed framework with other state-of-the-art statistical and machine learning based prediction models. From the experimental results, we demonstrate that the proposed framework beats other existing methods with a clear margin.


2020 ◽  
Vol 117 (48) ◽  
pp. 30285-30294 ◽  
Author(s):  
Akihiro Nishi ◽  
George Dewey ◽  
Akira Endo ◽  
Sophia Neman ◽  
Sage K. Iwamoto ◽  
...  

Sustaining economic activities while curbing the number of new coronavirus disease 2019 (COVID-19) cases until effective vaccines or treatments become available is a major public health and policy challenge. In this paper, we use agent-based simulations of a network-based susceptible−exposed−infectious−recovered (SEIR) model to investigate two network intervention strategies for mitigating the spread of transmission while maintaining economic activities. In the simulations, we assume that people engage in group activities in multiple sectors (e.g., going to work, going to a local grocery store), where they interact with others in the same group and potentially become infected. In the first strategy, each group is divided into two subgroups (e.g., a group of customers can only go to the grocery store in the morning, while another separate group of customers can only go in the afternoon). In the second strategy, we balance the number of group members across different groups within the same sector (e.g., every grocery store has the same number of customers). The simulation results show that the dividing groups strategy substantially reduces transmission, and the joint implementation of the two strategies could effectively bring the spread of transmission under control (i.e., effective reproduction number ≈ 1.0).


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Thomas Y. Owusu

This paper examines the dynamics of economic change in the City of Paterson, New Jersey, from the time of its founding in the late eighteenth century to 1990, with emphasis on the post-1945 era. Analysis shows that from the time of its founding to the first half of the twentieth century, Paterson experienced a period of economic growth followed by economic decline in the 1960s, characterized by major changes in its principal industries of cotton, locomotives, and silk. Economic growth in Paterson up to the early part of the twentieth century is attributable to several locational factors, including the availability of water resources, transportation, labor supply, and markets. Its decline in the post-1945 era is attributable to a combination of local, national, and global economic factors including periods of depression, labor discord, product substitution, decentralization of economic activities, and deindustrialization. Economic decline resulted in a high rate of unemployment, poverty, and urban decay. The most significant effort to reverse urban decline in the city is the urban enterprise zone (UEZ) program. The impacts of this program on economic growth in the city, however, remain inconclusive.


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