The annual turnout of faculty graduates in Nigeria is not only increasing numerically but it is ironically, unemployed and other times unemployable. This assertion is supported by researches in the social sciences and...The annual turnout of faculty graduates in Nigeria is not only increasing numerically but it is ironically, unemployed and other times unemployable. This assertion is supported by researches in the social sciences and reasons adduced to the trend range from lack of qualitative and unavailability of teaching and research facilities, as well as insufficient capable human resources among others. This paper x-rayed the case of Industrial Design graduates and their post training outcome, to understand whether or not graduates of Industrial Design are gainfully employed, unemployed, or unemployable; and why？ Research design used was survey, while the instrument administered on the sample size was structured questionnaire. Two hundred and thirty-three （233） students of Industrial Design constituted the sample size. The research questions were analyzed with the aid of Table of frequency distribution, while a non-parametric test by way of Friedman＇s two-way ANOVA was used to analyze the hypotheses. The outcome of the study revealed that, though the programme of Industrial Design is evolving as craft-based, it is viable. Graduates of the programme are not unemployable in the Nigerian labour market. Finally, the paper proffers solutions and recommendations in form of ideas and deductions to enhance the aim of the study.展开更多
From widespread malnutrition and food insecurity to rising unemployment,the challenges facing Tanzanian agriculture weigh heavily on Fadhili Albert Mwakamesa.During his first field assignments as a young researcher at...From widespread malnutrition and food insecurity to rising unemployment,the challenges facing Tanzanian agriculture weigh heavily on Fadhili Albert Mwakamesa.During his first field assignments as a young researcher at the International Institute of Tropical Agriculture(IITA),Mwakamesa was deeply shocked by what he saw.In villages surrounded by maize fields,children were visibly undernourished,lacking essential proteins and micronutrients in their daily meals.展开更多
The Chinese Government recently took a significant step forward in improving its social safety net: A pension program benefiting the country’s 50 million unemployed urban residents was launched on July 1.The new prog...The Chinese Government recently took a significant step forward in improving its social safety net: A pension program benefiting the country’s 50 million unemployed urban residents was launched on July 1.The new program, covering unemployed urban residents above the age of 16, excluding students, will be implemented in 60 percent of the country’s cities and townships this year. Starting in 2012, it will be effective across the country.By then, the country’s pension umbrella will cover the last展开更多
Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further...Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further study.This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy.First,from the theoretical logic and the economic development law,this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs.Then,based on the panel data of 269 cities in China from 2006 to 2021,we use the two-way fixed effect model,dynamic threshold model,and two-stage intermediary effect model.The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism.Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the“creation effect”.In other words,advanced digital technology has created additional jobs,and the overall supply of employment in the labor market has increased.The conclusion is still valid after the endogeneity identification and robustness test.In addition,the positive effect has a nonlinear effect on the network scale.When the installation density of industrial robots exceeds a particular threshold value,the division of labor continues to deepen under the combined action of the production efficiency and compensation effects,which will cause enterprises to increase labor demand further.Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions.This study concludes that in the digital China era,the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market.This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.展开更多
In the early 20th century,the role of Greek women in the working environment was considered complementary,and the type of work they would do should fit their Review of Women’s Employment in Greece in the 20th and Ear...In the early 20th century,the role of Greek women in the working environment was considered complementary,and the type of work they would do should fit their Review of Women’s Employment in Greece in the 20th and Early 21st Centuries gender stereotypes.Therefore,they were low-paid workers and employees,and they were the first to be laid off.Despite the fact that the number of Greek women participating in the labor market has increased,many of them were obliged to work due to the high rate of men’s unemployment since there was no other way to sustain the living level of the household(Alpha Bank,2018).Greek women’s participation in the labor market was accompanied by an increase in flexible types of employment along with the pay gap between men and women,which remained persistent due to the existence of discrimination.展开更多
Based on the latest demographic and labor data, this paper reveals the changes in China＇s labor supply and demonstrates that China＇s key employment issues are no longer quantitative contradictions but increasingly h...Based on the latest demographic and labor data, this paper reveals the changes in China＇s labor supply and demonstrates that China＇s key employment issues are no longer quantitative contradictions but increasingly have become structural issues related to labor market mismatch. Due to real and potential economic growth rates being consistent, cyclical unemployment is, at least for now, not striking. If traditional policy measures continue to be followed in disregard of frictional and structural attributes of the labor market to increase total employment, not only will China＇s employment issues persist but new labor market problems may arise as well China should focus on addressing structural unemployment contradictions.展开更多
<strong>Context and objectives</strong><span style="font-family:;" "=""> <strong>:</strong></span><span style="font-family:;" "="&quo...<strong>Context and objectives</strong><span style="font-family:;" "=""> <strong>:</strong></span><span style="font-family:;" "="">The unexpected pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) affected several activities and exposed workers, students and the large mass of unemployed people to an economic and psychological pressure that could lead to various problems, such as anxiety, fear, depression and insomnia, consequently causing impairment of quality of life. <b>Method:</b> A cross-sectional study was c</span><span style="font-family:Verdana;"></span><span style="font-family:;" "=""><b></b>onducted using the COVID-19 Peri-Traumatic Distress Index (CPDI) and the Fear of COVID-19 Scale (FCV-19S) to measure peri-traumatic stress and fear, such as psychological reactions during the 2019 coronavirus disease (COVID-19) pandemic. An online spreadsheet was used as a data collection tool to send the questionnaire and scales to a sample of 1,844 participants. Data were analyzed in groups of health professionals, students and teachers, and an analysis was performed between unemployed and employed people in order to evaluate the impact of employment on the population’s mental health. <b>Results:</b> All groups presented from moderate to high CPDI and FCV-19S scores, and students and unemployed people had higher levels of stress and fear. <b>Conclusion:</b> COVID-19 pandemic had a significant impact on the Brazilian population, with students and the unemployed showing the highest rates of stress and fear.</span>展开更多
This survey has been conducted to study the ornamental fishes of coastal Bay of Bengal, selecting the region from Digha to Talpati, a stretch of64 Kmcoastal area. Twenty ornamental fish species were identified in the ...This survey has been conducted to study the ornamental fishes of coastal Bay of Bengal, selecting the region from Digha to Talpati, a stretch of64 Kmcoastal area. Twenty ornamental fish species were identified in the coastal water bodies in this stretch. Some of them are already established as aquarium fishes and rest demand ornamental piscine status for their unique features and qualities. Some of the ornamental fish species of this area like Brachygobious sua, Gobipterus chuno, Badis badis and Brachydanio rario are endangered due to excessive degradation of local ecosystems. Special care should be taken so that they continue to exist. There are ample justifications to establish ornamental fish industry to support the unemployed youth of the area and protect the piscine biodiversity.展开更多
The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, ...The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, in order to reduce the impact on the individual and society. On the other hand, it also has a function of stabling employment, preventing unemployment and promoting unemployed again obtain employment. In recent years, however, the unemployment insurance fund revenue has been greater than its expenditure, balance funds become more and more, it not only faces a risk of depreciation, also will cause the waste of funds. Therefore, improve the utilization rate of the uncmployment insurance fund itself and expand the function of the unemployment insurance fund, realize the sustainable development of unemployment insurance funds is great significance.展开更多
There is significant concern that technological advances, especially in robotics and artificial intelligence（AI）, could lead to high levels of unemployment in the coming decades. Studies have estimated that around h...There is significant concern that technological advances, especially in robotics and artificial intelligence（AI）, could lead to high levels of unemployment in the coming decades. Studies have estimated that around half of all current jobs are at risk of automation.To look into this issue in more depth, we surveyed experts in robotics and AI about the risk, and compared their views with those of nonexperts. Whilst the experts predicted a significant number of occupations were at risk of automation in the next two decades, they were more cautious than people outside the field in predicting occupations at risk. Their predictions were consistent with their estimates for when computers might be expected to reach human level performance across a wide range of skills. These estimates were typically decades later than those of the non-experts. Technological barriers may therefore provide society with more time to prepare for an automated future than the public fear. In addition, public expectations may need to be dampened about the speed of progress to be expected in robotics and AI.展开更多
AIM: To provide a systematic update of the evidence concerning the relationship between economic recession and suicide.METHODS: A keyword search of Ovid Medline, Embase, Embase Classic, PsycI NFO and PsycA RTICLES was...AIM: To provide a systematic update of the evidence concerning the relationship between economic recession and suicide.METHODS: A keyword search of Ovid Medline, Embase, Embase Classic, PsycI NFO and PsycA RTICLES was performed to identify studies that had investigated the association between economic recession and suicide. RESULTS: Thirty-eight studies met predetermined selection criteria and 31 of them found a positive association between economic recession and increased suicide rates. Two studies reported a negative association, two articles failed to find such an association, and three studies were inconclusive. CONCLUSION: Economic recession periods appear to increase overall suicide rates, although further research is warranted in this area, particularly in low income countries.展开更多
This paper analyzes the impacts of urbanization and unemployment rate on China's divorce rate with the panel data of 31Chinese provinces from 2000 to 2011.The study manifests as follows.First,the significant influ...This paper analyzes the impacts of urbanization and unemployment rate on China's divorce rate with the panel data of 31Chinese provinces from 2000 to 2011.The study manifests as follows.First,the significant influence of urbanization cannot be observed on the rising breakdown since the latter is not the inevitable result of the former.In the second place,unemployment rate has a significant negative influence on divorce rate,namely,with the former increasing,the latter will decrease,which echoes the perspective of divorce cost.And finally,this paper also finds positive effects of per capita fixed investment,old-age dependency rate,average household size,the proportion of floating population and population density,and negative correlation of average education attainment on divorce rate.展开更多
What is sustainability? Does it only concern the environment or even socio-economic policies? It is only a question of ethics or a redefinition of industrial policy oriented towards the use of renewable energy, it can...What is sustainability? Does it only concern the environment or even socio-economic policies? It is only a question of ethics or a redefinition of industrial policy oriented towards the use of renewable energy, it can bring benefits both atmospheric and social employment. The need for the development of renewable sources can be in tune with the correct management of the territory in consideration of the fact that these sources involve the widespread implementation of small and medium-sized plants. A model of economic development based on renewable sources should respect the peculiarities and characteristics of the territories involved. It should also think of the territory as a “value” to be strengthened and used in a sustainable and integrated way and no longer as a passive platform on which to install plants. Solar thermal and photovoltaic, biomass, geothermal, hydrological, wind power are some of the sources the various countries must constantly invest. This publication is based on these concepts starting from an analysis of the employment data of the OECD “Organisation for Economic Co-operation and Development countries”, comparing them successively with the results of renewable energy productivity. The analysis was performed by analyzing a sample of 22 countries over a period of 20 years, after which the regression curve for the variables with the OLS method was created. This econometric method has allowed us to analyze the impact that renewable technologies have on the parameters of social welfare and in particular on unemployment.展开更多
Unemployment is one of the major vices in our contemporal society, which weigh greatly on the economy of such nation. It is also, a fact that knowing ones enemy before battle gives 50 per cent chance of victory;thus, ...Unemployment is one of the major vices in our contemporal society, which weigh greatly on the economy of such nation. It is also, a fact that knowing ones enemy before battle gives 50 per cent chance of victory;thus, this research aimed at providing understanding about dynamics of unemployment with consideration for retirement and possible control criterion. And the objectives are;formulation of mathematical model using the concept of deterministic model and mathematical epidemiology;then, model analysis. The model analysis includes, a numerical semi-analytical scheme for investigating validity of analytical solutions. The result of the analysis were that: 1) the model was mathematically well-pose and biologically meaningful 2) two equilibria points exist, and 3) a threshold for recruitment from the pool of unemployment, assuring victory in the fight against unemployment was also, obtained. The threshold is required to be well managed in order to win the battle against the socio-vice (unemployment) in the contemporary society. In addition, variational iterative method (VIM) is the numerical semi-analytic scheme employed to solve the model;thus, the approximate solution gave a practical meaningful interpretation supporting the analytical results and proof of verdict of assumptions of the model. The article concluded with three points;everyone has roles to play to curtail the socio-menace, beseech government and policy makers to look kindly, and create policy(ies) to sustain population growth, and the retiree should also, plan live after service, because over dependence on pension scheme could be died before death because of corruption in the scheme.展开更多
Middle East and North Africa （MENA） has been experiencing a unique demographic transition in the world especially after September 11, whilst, its social, political and economic structures have considerably remained ...Middle East and North Africa （MENA） has been experiencing a unique demographic transition in the world especially after September 11, whilst, its social, political and economic structures have considerably remained inflexible and can hardly meet the increasing demands of employment among the youth whose expectations are raised through expansion in education. In spite of various common causes for the Arab uprisings, the paper spotlights the ＂Youth role＂ and its regarded issues of ＂Youth Bulge＂, ＂Education＂ and ＂Unemployment＂ with a glimpse to the overturned regimes of ＂Tunisia, Egypt, Libya, and Yemen＂. According to published statistics these countries are among the countries with the highest rate of youth as working age population in MENA. Therefore, the paper is to present the importance and impact of youth as a social parameter in challenging political structure of the countries in the MENA and leading to topple their political systems. Thus, the paper reasons the MENA political upheavals, in general, and the mentioned countries＇ uprisings, in particular, can not be well understood disregarding to natural tensions between economic, population structures, and political demographic challenges. This is to be done drawing on data from different international institutions. The intervened variables such as ＂ethnicity, race, religion and sexuality＂ and international parameters have not been considered.展开更多
Since COVID-19 was declared as a pandemic in March 2020,the world’s major preoccupation has been to curb it while preserving the economy and reducing unemployment.This paper uses a novel Bi-Level Dynamic Optimal Cont...Since COVID-19 was declared as a pandemic in March 2020,the world’s major preoccupation has been to curb it while preserving the economy and reducing unemployment.This paper uses a novel Bi-Level Dynamic Optimal Control model(BLDOC)to coordinate control between COVID-19 and unemployment.The COVID-19 model is the upper level while the unemployment model is the lower level of the bi-level dynamic optimal control model.The BLDOC model’s main objectives are to minimize the number of individuals infected with COVID-19 and to minimize the unemployed individuals,and at the same time minimizing the cost of the containment strategies.We use the modified approximation Karush–Kuhn–Tucker(KKT)conditions with the Hamiltonian function to handle the bi-level dynamic optimal control model.We consider three control variables:The first control variable relates to government measures to curb the COVID-19 pandemic,i.e.,quarantine,social distancing,and personal protection;and the other two control variables relate to government interventions to reduce the unemployment rate,i.e.,employment,making individuals qualified,creating new jobs reviving the economy,reducing taxes.We investigate four different cases to verify the effect of control variables.Our results indicate that rather than focusing exclusively on only one problem,we need a balanced trade-off between controlling each.展开更多
Why do households use different types of loans?Which factors cause borrowers to default?Using a comprehensive survey dataset from Chile,I estimate a partial information model of consumer debt access,lender choice,loan...Why do households use different types of loans?Which factors cause borrowers to default?Using a comprehensive survey dataset from Chile,I estimate a partial information model of consumer debt access,lender choice,loan amount and default.The model consists of a first-stage multinomial logit that explains the choice across the five loan types,plus the options of no access to debt due to credit constraints and a no wish for consumer debt.In the second and third stages,the model assumes a log-linear regression of the debt amount and a logit regression of the default behavior,accounting for the loan type selection probability.Identification is obtained using factors measured at different time periods for the default and the loan type choices.I find that households choose different lenders based on income,education and labor risks.Higher income and education decrease the probability of credit constraints,while increasing bank lending and debt amounts.Unemployment risk and household size increase the chances of all the loan types;however,unemployment decreases the debt amount.Age and wage volatility reduce the probability of all loans.Default decreases with income,education and age,whereas it increases with indebtedness,unemployment,household size,health shocks,and paying previous loans.Counterfactual exercises demonstrate that pension reform,higher requirements for borrowers’capacities,and financial literacy programs could substantially reduce default risk.Financial literacy could greatly reduce arrears,households with credit constraints,the number of debtors and the aggregate debt amounts,especially for non-bank lending.Highlights Chilean borrowers present heterogeneous adverse selection across lender types.No Debt Access decreases with income,age,education,but it increases with risk.Default is associated with income,unemployment,indebtedness and demographics.Paying past loans and health needs are associated with indebtedness and default.Financial literacy programs may be a powerful policy to improve the debt market.展开更多
Climate change is a threat to the attainment of the Sustainable Development Goals(SDGs) in sub-Saharan Africa as its impacts can lead to increased incidences of poverty and inequality which can subsequently lead to a ...Climate change is a threat to the attainment of the Sustainable Development Goals(SDGs) in sub-Saharan Africa as its impacts can lead to increased incidences of poverty and inequality which can subsequently lead to a 12% decline in the Human Development Index(HDI) for subSaharan Africa. Emerging countries such as China have the potential to support Africa to achieve the SDGs by pioneering Southe South Climate Finance(SSCF) modalities. In order to increase knowledge on climate informed development and the role of China in global climate governance, the paper examined various research articles, case studies, policy briefs and project reports. Sino-African aid, investments and trade were noted as essential in mitigating Africa's climate change vulnerabilities which induce poverty traps and inequality. Some African countries were noted to have a comparative advantage in environmental standards over China but lacked the initiative to use this comparative advantage to enhance the Forum on Chinae Africa Cooperation(FOCAC) and assist China to have a sustainable growth trajectory. The paper concludes that SSCF modalities can enhance climate risk management in Africa if they focus on improving financial inclusion and improving climate finance flows towards climate change adaptation activities in Africa. Additionally, to increase the effectiveness and impact of Chinese climate finance support to Africa, African policymakers should not allow political and market forces to decide how climate related support from China should be allocated as decisions based on political and market forces could potentially promote an inequitable distribution of funds and ignore the most vulnerable countries and regions.展开更多
The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic product.Sentiment analysis is a cost-effective method for acquiringsentiment...The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic product.Sentiment analysis is a cost-effective method for acquiringsentiments based on household income loss,as expressed on social media.However,limited research has been conducted in this domain using theLexDeep approach.This study aimed to explore social trend analytics usingLexDeep,which is a hybrid sentiment analysis technique,on Twitter to capturethe risk of household income loss during the COVID-19 pandemic.First,tweet data were collected using Twint with relevant keywords before(9 March2019 to 17 March 2020)and during(18 March 2020 to 21 August 2021)thepandemic.Subsequently,the tweets were annotated using VADER(lexiconbased)and fed into deep learning classifiers,and experiments were conductedusing several embeddings,namely simple embedding,Global Vectors,andWord2Vec,to classify the sentiments expressed in the tweets.The performanceof each LexDeep model was evaluated and compared with that of a supportvector machine(SVM).Finally,the unemployment rates before and duringCOVID-19 were analysed to gain insights into the differences in unemploymentpercentages through social media input and analysis.The resultsdemonstrated that all LexDeep models with simple embedding outperformedthe SVM.This confirmed the superiority of the proposed LexDeep modelover a classical machine learning classifier in performing sentiment analysistasks for domain-specific sentiments.In terms of the risk of income loss,the unemployment issue is highly politicised on both the regional and globalscales;thus,if a country cannot combat this issue,the global economy will alsobe affected.Future research should develop a utility maximisation algorithmfor household welfare evaluation,given the percentage risk of income lossowing to COVID-19.展开更多
文摘The annual turnout of faculty graduates in Nigeria is not only increasing numerically but it is ironically, unemployed and other times unemployable. This assertion is supported by researches in the social sciences and reasons adduced to the trend range from lack of qualitative and unavailability of teaching and research facilities, as well as insufficient capable human resources among others. This paper x-rayed the case of Industrial Design graduates and their post training outcome, to understand whether or not graduates of Industrial Design are gainfully employed, unemployed, or unemployable; and why？ Research design used was survey, while the instrument administered on the sample size was structured questionnaire. Two hundred and thirty-three （233） students of Industrial Design constituted the sample size. The research questions were analyzed with the aid of Table of frequency distribution, while a non-parametric test by way of Friedman＇s two-way ANOVA was used to analyze the hypotheses. The outcome of the study revealed that, though the programme of Industrial Design is evolving as craft-based, it is viable. Graduates of the programme are not unemployable in the Nigerian labour market. Finally, the paper proffers solutions and recommendations in form of ideas and deductions to enhance the aim of the study.
文摘From widespread malnutrition and food insecurity to rising unemployment,the challenges facing Tanzanian agriculture weigh heavily on Fadhili Albert Mwakamesa.During his first field assignments as a young researcher at the International Institute of Tropical Agriculture(IITA),Mwakamesa was deeply shocked by what he saw.In villages surrounded by maize fields,children were visibly undernourished,lacking essential proteins and micronutrients in their daily meals.
文摘The Chinese Government recently took a significant step forward in improving its social safety net: A pension program benefiting the country’s 50 million unemployed urban residents was launched on July 1.The new program, covering unemployed urban residents above the age of 16, excluding students, will be implemented in 60 percent of the country’s cities and townships this year. Starting in 2012, it will be effective across the country.By then, the country’s pension umbrella will cover the last
文摘Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further study.This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy.First,from the theoretical logic and the economic development law,this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs.Then,based on the panel data of 269 cities in China from 2006 to 2021,we use the two-way fixed effect model,dynamic threshold model,and two-stage intermediary effect model.The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism.Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the“creation effect”.In other words,advanced digital technology has created additional jobs,and the overall supply of employment in the labor market has increased.The conclusion is still valid after the endogeneity identification and robustness test.In addition,the positive effect has a nonlinear effect on the network scale.When the installation density of industrial robots exceeds a particular threshold value,the division of labor continues to deepen under the combined action of the production efficiency and compensation effects,which will cause enterprises to increase labor demand further.Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions.This study concludes that in the digital China era,the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market.This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.
文摘In the early 20th century,the role of Greek women in the working environment was considered complementary,and the type of work they would do should fit their Review of Women’s Employment in Greece in the 20th and Early 21st Centuries gender stereotypes.Therefore,they were low-paid workers and employees,and they were the first to be laid off.Despite the fact that the number of Greek women participating in the labor market has increased,many of them were obliged to work due to the high rate of men’s unemployment since there was no other way to sustain the living level of the household(Alpha Bank,2018).Greek women’s participation in the labor market was accompanied by an increase in flexible types of employment along with the pay gap between men and women,which remained persistent due to the existence of discrimination.
文摘Based on the latest demographic and labor data, this paper reveals the changes in China＇s labor supply and demonstrates that China＇s key employment issues are no longer quantitative contradictions but increasingly have become structural issues related to labor market mismatch. Due to real and potential economic growth rates being consistent, cyclical unemployment is, at least for now, not striking. If traditional policy measures continue to be followed in disregard of frictional and structural attributes of the labor market to increase total employment, not only will China＇s employment issues persist but new labor market problems may arise as well China should focus on addressing structural unemployment contradictions.
文摘<strong>Context and objectives</strong><span style="font-family:;" "=""> <strong>:</strong></span><span style="font-family:;" "="">The unexpected pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) affected several activities and exposed workers, students and the large mass of unemployed people to an economic and psychological pressure that could lead to various problems, such as anxiety, fear, depression and insomnia, consequently causing impairment of quality of life. <b>Method:</b> A cross-sectional study was c</span><span style="font-family:Verdana;"></span><span style="font-family:;" "=""><b></b>onducted using the COVID-19 Peri-Traumatic Distress Index (CPDI) and the Fear of COVID-19 Scale (FCV-19S) to measure peri-traumatic stress and fear, such as psychological reactions during the 2019 coronavirus disease (COVID-19) pandemic. An online spreadsheet was used as a data collection tool to send the questionnaire and scales to a sample of 1,844 participants. Data were analyzed in groups of health professionals, students and teachers, and an analysis was performed between unemployed and employed people in order to evaluate the impact of employment on the population’s mental health. <b>Results:</b> All groups presented from moderate to high CPDI and FCV-19S scores, and students and unemployed people had higher levels of stress and fear. <b>Conclusion:</b> COVID-19 pandemic had a significant impact on the Brazilian population, with students and the unemployed showing the highest rates of stress and fear.</span>
文摘This survey has been conducted to study the ornamental fishes of coastal Bay of Bengal, selecting the region from Digha to Talpati, a stretch of64 Kmcoastal area. Twenty ornamental fish species were identified in the coastal water bodies in this stretch. Some of them are already established as aquarium fishes and rest demand ornamental piscine status for their unique features and qualities. Some of the ornamental fish species of this area like Brachygobious sua, Gobipterus chuno, Badis badis and Brachydanio rario are endangered due to excessive degradation of local ecosystems. Special care should be taken so that they continue to exist. There are ample justifications to establish ornamental fish industry to support the unemployed youth of the area and protect the piscine biodiversity.
文摘The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, in order to reduce the impact on the individual and society. On the other hand, it also has a function of stabling employment, preventing unemployment and promoting unemployed again obtain employment. In recent years, however, the unemployment insurance fund revenue has been greater than its expenditure, balance funds become more and more, it not only faces a risk of depreciation, also will cause the waste of funds. Therefore, improve the utilization rate of the uncmployment insurance fund itself and expand the function of the unemployment insurance fund, realize the sustainable development of unemployment insurance funds is great significance.
基金support by the Australian Research Council,the European Research Council,and the Asian Office of Aerospace Research&Development
文摘There is significant concern that technological advances, especially in robotics and artificial intelligence（AI）, could lead to high levels of unemployment in the coming decades. Studies have estimated that around half of all current jobs are at risk of automation.To look into this issue in more depth, we surveyed experts in robotics and AI about the risk, and compared their views with those of nonexperts. Whilst the experts predicted a significant number of occupations were at risk of automation in the next two decades, they were more cautious than people outside the field in predicting occupations at risk. Their predictions were consistent with their estimates for when computers might be expected to reach human level performance across a wide range of skills. These estimates were typically decades later than those of the non-experts. Technological barriers may therefore provide society with more time to prepare for an automated future than the public fear. In addition, public expectations may need to be dampened about the speed of progress to be expected in robotics and AI.
文摘AIM: To provide a systematic update of the evidence concerning the relationship between economic recession and suicide.METHODS: A keyword search of Ovid Medline, Embase, Embase Classic, PsycI NFO and PsycA RTICLES was performed to identify studies that had investigated the association between economic recession and suicide. RESULTS: Thirty-eight studies met predetermined selection criteria and 31 of them found a positive association between economic recession and increased suicide rates. Two studies reported a negative association, two articles failed to find such an association, and three studies were inconclusive. CONCLUSION: Economic recession periods appear to increase overall suicide rates, although further research is warranted in this area, particularly in low income countries.
基金supported by the Fundamental Research Funds for the Central Universities[grant number JBK1407001]
文摘This paper analyzes the impacts of urbanization and unemployment rate on China's divorce rate with the panel data of 31Chinese provinces from 2000 to 2011.The study manifests as follows.First,the significant influence of urbanization cannot be observed on the rising breakdown since the latter is not the inevitable result of the former.In the second place,unemployment rate has a significant negative influence on divorce rate,namely,with the former increasing,the latter will decrease,which echoes the perspective of divorce cost.And finally,this paper also finds positive effects of per capita fixed investment,old-age dependency rate,average household size,the proportion of floating population and population density,and negative correlation of average education attainment on divorce rate.
文摘What is sustainability? Does it only concern the environment or even socio-economic policies? It is only a question of ethics or a redefinition of industrial policy oriented towards the use of renewable energy, it can bring benefits both atmospheric and social employment. The need for the development of renewable sources can be in tune with the correct management of the territory in consideration of the fact that these sources involve the widespread implementation of small and medium-sized plants. A model of economic development based on renewable sources should respect the peculiarities and characteristics of the territories involved. It should also think of the territory as a “value” to be strengthened and used in a sustainable and integrated way and no longer as a passive platform on which to install plants. Solar thermal and photovoltaic, biomass, geothermal, hydrological, wind power are some of the sources the various countries must constantly invest. This publication is based on these concepts starting from an analysis of the employment data of the OECD “Organisation for Economic Co-operation and Development countries”, comparing them successively with the results of renewable energy productivity. The analysis was performed by analyzing a sample of 22 countries over a period of 20 years, after which the regression curve for the variables with the OLS method was created. This econometric method has allowed us to analyze the impact that renewable technologies have on the parameters of social welfare and in particular on unemployment.
文摘Unemployment is one of the major vices in our contemporal society, which weigh greatly on the economy of such nation. It is also, a fact that knowing ones enemy before battle gives 50 per cent chance of victory;thus, this research aimed at providing understanding about dynamics of unemployment with consideration for retirement and possible control criterion. And the objectives are;formulation of mathematical model using the concept of deterministic model and mathematical epidemiology;then, model analysis. The model analysis includes, a numerical semi-analytical scheme for investigating validity of analytical solutions. The result of the analysis were that: 1) the model was mathematically well-pose and biologically meaningful 2) two equilibria points exist, and 3) a threshold for recruitment from the pool of unemployment, assuring victory in the fight against unemployment was also, obtained. The threshold is required to be well managed in order to win the battle against the socio-vice (unemployment) in the contemporary society. In addition, variational iterative method (VIM) is the numerical semi-analytic scheme employed to solve the model;thus, the approximate solution gave a practical meaningful interpretation supporting the analytical results and proof of verdict of assumptions of the model. The article concluded with three points;everyone has roles to play to curtail the socio-menace, beseech government and policy makers to look kindly, and create policy(ies) to sustain population growth, and the retiree should also, plan live after service, because over dependence on pension scheme could be died before death because of corruption in the scheme.
文摘Middle East and North Africa （MENA） has been experiencing a unique demographic transition in the world especially after September 11, whilst, its social, political and economic structures have considerably remained inflexible and can hardly meet the increasing demands of employment among the youth whose expectations are raised through expansion in education. In spite of various common causes for the Arab uprisings, the paper spotlights the ＂Youth role＂ and its regarded issues of ＂Youth Bulge＂, ＂Education＂ and ＂Unemployment＂ with a glimpse to the overturned regimes of ＂Tunisia, Egypt, Libya, and Yemen＂. According to published statistics these countries are among the countries with the highest rate of youth as working age population in MENA. Therefore, the paper is to present the importance and impact of youth as a social parameter in challenging political structure of the countries in the MENA and leading to topple their political systems. Thus, the paper reasons the MENA political upheavals, in general, and the mentioned countries＇ uprisings, in particular, can not be well understood disregarding to natural tensions between economic, population structures, and political demographic challenges. This is to be done drawing on data from different international institutions. The intervened variables such as ＂ethnicity, race, religion and sexuality＂ and international parameters have not been considered.
基金The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research Group No.RG-1441-309.
文摘Since COVID-19 was declared as a pandemic in March 2020,the world’s major preoccupation has been to curb it while preserving the economy and reducing unemployment.This paper uses a novel Bi-Level Dynamic Optimal Control model(BLDOC)to coordinate control between COVID-19 and unemployment.The COVID-19 model is the upper level while the unemployment model is the lower level of the bi-level dynamic optimal control model.The BLDOC model’s main objectives are to minimize the number of individuals infected with COVID-19 and to minimize the unemployed individuals,and at the same time minimizing the cost of the containment strategies.We use the modified approximation Karush–Kuhn–Tucker(KKT)conditions with the Hamiltonian function to handle the bi-level dynamic optimal control model.We consider three control variables:The first control variable relates to government measures to curb the COVID-19 pandemic,i.e.,quarantine,social distancing,and personal protection;and the other two control variables relate to government interventions to reduce the unemployment rate,i.e.,employment,making individuals qualified,creating new jobs reviving the economy,reducing taxes.We investigate four different cases to verify the effect of control variables.Our results indicate that rather than focusing exclusively on only one problem,we need a balanced trade-off between controlling each.
文摘Why do households use different types of loans?Which factors cause borrowers to default?Using a comprehensive survey dataset from Chile,I estimate a partial information model of consumer debt access,lender choice,loan amount and default.The model consists of a first-stage multinomial logit that explains the choice across the five loan types,plus the options of no access to debt due to credit constraints and a no wish for consumer debt.In the second and third stages,the model assumes a log-linear regression of the debt amount and a logit regression of the default behavior,accounting for the loan type selection probability.Identification is obtained using factors measured at different time periods for the default and the loan type choices.I find that households choose different lenders based on income,education and labor risks.Higher income and education decrease the probability of credit constraints,while increasing bank lending and debt amounts.Unemployment risk and household size increase the chances of all the loan types;however,unemployment decreases the debt amount.Age and wage volatility reduce the probability of all loans.Default decreases with income,education and age,whereas it increases with indebtedness,unemployment,household size,health shocks,and paying previous loans.Counterfactual exercises demonstrate that pension reform,higher requirements for borrowers’capacities,and financial literacy programs could substantially reduce default risk.Financial literacy could greatly reduce arrears,households with credit constraints,the number of debtors and the aggregate debt amounts,especially for non-bank lending.Highlights Chilean borrowers present heterogeneous adverse selection across lender types.No Debt Access decreases with income,age,education,but it increases with risk.Default is associated with income,unemployment,indebtedness and demographics.Paying past loans and health needs are associated with indebtedness and default.Financial literacy programs may be a powerful policy to improve the debt market.
文摘Climate change is a threat to the attainment of the Sustainable Development Goals(SDGs) in sub-Saharan Africa as its impacts can lead to increased incidences of poverty and inequality which can subsequently lead to a 12% decline in the Human Development Index(HDI) for subSaharan Africa. Emerging countries such as China have the potential to support Africa to achieve the SDGs by pioneering Southe South Climate Finance(SSCF) modalities. In order to increase knowledge on climate informed development and the role of China in global climate governance, the paper examined various research articles, case studies, policy briefs and project reports. Sino-African aid, investments and trade were noted as essential in mitigating Africa's climate change vulnerabilities which induce poverty traps and inequality. Some African countries were noted to have a comparative advantage in environmental standards over China but lacked the initiative to use this comparative advantage to enhance the Forum on Chinae Africa Cooperation(FOCAC) and assist China to have a sustainable growth trajectory. The paper concludes that SSCF modalities can enhance climate risk management in Africa if they focus on improving financial inclusion and improving climate finance flows towards climate change adaptation activities in Africa. Additionally, to increase the effectiveness and impact of Chinese climate finance support to Africa, African policymakers should not allow political and market forces to decide how climate related support from China should be allocated as decisions based on political and market forces could potentially promote an inequitable distribution of funds and ignore the most vulnerable countries and regions.
基金funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University,through the Research Groups Program Grant no.(RGP-1443-0045).
文摘The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic product.Sentiment analysis is a cost-effective method for acquiringsentiments based on household income loss,as expressed on social media.However,limited research has been conducted in this domain using theLexDeep approach.This study aimed to explore social trend analytics usingLexDeep,which is a hybrid sentiment analysis technique,on Twitter to capturethe risk of household income loss during the COVID-19 pandemic.First,tweet data were collected using Twint with relevant keywords before(9 March2019 to 17 March 2020)and during(18 March 2020 to 21 August 2021)thepandemic.Subsequently,the tweets were annotated using VADER(lexiconbased)and fed into deep learning classifiers,and experiments were conductedusing several embeddings,namely simple embedding,Global Vectors,andWord2Vec,to classify the sentiments expressed in the tweets.The performanceof each LexDeep model was evaluated and compared with that of a supportvector machine(SVM).Finally,the unemployment rates before and duringCOVID-19 were analysed to gain insights into the differences in unemploymentpercentages through social media input and analysis.The resultsdemonstrated that all LexDeep models with simple embedding outperformedthe SVM.This confirmed the superiority of the proposed LexDeep modelover a classical machine learning classifier in performing sentiment analysistasks for domain-specific sentiments.In terms of the risk of income loss,the unemployment issue is highly politicised on both the regional and globalscales;thus,if a country cannot combat this issue,the global economy will alsobe affected.Future research should develop a utility maximisation algorithmfor household welfare evaluation,given the percentage risk of income lossowing to COVID-19.
