Urban Market-Gardening in Parakou (Republic of Benin): Spatial Dynamics, Food Security, Protection of the Environment and Creation of Employments

Nowadays, African cities are subjected to upsets which result from the extraordinary growth of urban populations. The growth of the population of cities has induced some changes in the structure of the activity of those cities. Agriculture which was formerly confined to the countryside henceforth develops in the urban area and occupies a preponderant place as a strategy of survival, of insertion and of food supplying of the city-dwellers. It has become an activity integrated to the urban tissue through systems of occupying and exploitation of land in the urban area. Population growth (4.81%) between 2002 and 2013 is a critical poverty rate (65%) of the population of Parakou city, entailing a misery perceptible in all its social and economic dimensions. The market-gardening activity has integrated itself to the urban tissue. The objective of this study is to understand how urban agriculture through market-gardening can be a solution for rural farmers who have moved to Parakou city. In this study, documentary research, interviews and field observation are used for data collection. The main results to be signaled among others are: evolution and status of the market-gardening areas in Parakou, the reduction of food insecurity with the permanent availability in quantity and in quality of market-gardening products accessible to the population: the protection of the environment through the drainage of the urban area and the preservation of the diversity of vegetables;the increase of the income of the households of the farmers and the creation of employments.

Off-farm employment,agriculture production activities,and household dietary diversity in environmentally and economically vulnerable areas of Asia

Access to off-farm employment has been expected to be a critical approach to ending hunger and all forms of malnutrition,two important targets of achieving Zero Hunger.This study aims to investigate the role of off-farm employment in improving dietary diversity through substitution effect and complementary effect with agricultural production activities and income effect.This study adopts Poisson/Tobit/Probit/OLS regressions and the instrument variable method based on the primary survey data collected among 1,282 households at 12 sites in environmentally and economically vulnerable areas of China,Nepal,Cambodia,Thailand,and Myanmar in 2019.The results show that off-farm employment is positively associated with household dietary diversity and the consumption of flesh meat,fish and other aquatic animals,fruits,and milk and dairy products,which are rich in protein and micronutrients.The results of mechanism analysis show that off-farm employment contributes to household dietary diversity by improving crop diversity,especially for poor households,boosting the probability of livestock raising for households with the middle one-third disposal income,and increasing household income.The positive association between off-farm employment and household dietary diversity is much higher for households with the bottom one-third disposal income,low illiteracy,and from upper-middle income countries.These findings imply that off-farm employment does play a vital role in achieving multiple benefits of poverty alleviation,malnutrition reduction,and agrobiodiversity conservation in environmentally and economically vulnerable areas.However,it may enlarge the gaps in dietary diversity between households with low human capital and from low and lower-middle income countries and those with high human capital and from middle-high countries.

Coupling coordinated development among digital economy,regional innovation,and talent employment:A case study in the Hangzhou Metropolitan Circle,China

Coordinative development across various systems,particularly the economic,social,cultural,and human resources subsystems,is a key aspect of urban sustainability and has a direct impact on the quality of urbanization.The Hangzhou Metropolitan Circle,comprising Hangzhou City,Huzhou City,Jiaxing City,and Shaoxing City,was the first metropolitan circle approved by the National Development and Reform Commission(NDRC)as a demonstration of economic transformation in China.To evaluate the coupling coordination degree of the four cities and analyze the coordinative development in three systems(including digital economy,regional innovation,and talent employment),we collected panel data during 2015–2022 from these four cities.The development level of the three systems was evaluated by the standard deviation method and comprehensive development index.The results are as follows:(1)the level of coupling coordinated development of the three systems in the Hangzhou Metropolitan Circle was relatively low;(2)the coupling coordination degree of the four cities in the Hangzhou Metropolitan Circle showed significant regional differences,among which Hangzhou City was in the leading position,and Huzhou,Jiaxing,and Shaoxing cities made steady but slow progress in the coupling development of the three systems;and(3)the development of digital economy and talent employment needs to be strengthened.This study contributes to the coordinative development of Hangzhou Metropolitan Circle by innovatively focusing on the coupling coordination relationship among digital economy,regional innovation,and talent employment,which also meets the industrial layout of Hangzhou Metropolitan Circle.In this way,the optimal allocation and sustainable development of digital economy,regional innovation,and talent employment in the Hangzhou Metropolitan Circle can be achieved.

Age Identity and Elderly Job Participation in China

In the context of rising life expectancy,there is a significant discrepancy between Chinese seniors’self-perceptions of the start of old age and the expectations of society around this age.The traditional paradigm,which forecasts individual economic behavior and formulates economic policies based on societal standards of age,is put to the test by this disparity.This study,which draws from the China Longitudinal Aging Society Survey(CLASS),examines the factors,processes,and improvement strategies that affect how older people choose to work.The following are our conclusions:(i)Chinese elderly believe their old age starts from 70 years on average;delaying perceived old age is a denial of aging and raises the likelihood of finding work.Elders who are youthful at heart have a 2.4%higher chance of remaining employed than elders who are old at heart.(ii)In contrast to old-at-heart elders,young-at-heart elders are more likely to maintain their middle-age lifestyles,continue working,become motivated to engage in social activities,and gain the confidence to face challenges and continue in their career.(iii)If the perceived old age is above 70 years,the milestone event of aging is retirement from work,and there are external pressures,particularly pressures from family intergenerational support,the perception of old age will have a more proactive impact on older workers.(iv)Despite rising pension benefits,older people’s decision to remain in the workforce is still heavily influenced by their perception of their age.However,this effect is notably gender-specific,as older women’s decision to remain in the workforce is not greatly influenced by their own perception of their age.

The Pursuit of Happiness

Xinjiang has effectively safeguarded the basic rights of people of all ethnic groups to work and employment,and made great strides in economic and social development,thus significantly improving people’s livelihoods.

Basic Research on the Burden of Dropping off and Picking up Children: Differences by Employment Type and Gender in the Tokyo Metropolitan Area

There is a need to reduce the burden of child drop-off and pick-up for child-rearing generations, but most studies on the actual situation in Japan are based on survey results. In this study, we analyzed differences in child drop-off and pick-up by employment type and gender, utilizing the “Metropolitan Area Person Trip Survey,” which is a statistical data set. The study targeted households in which both spouses were between 30 and 49 years old, had children under the age of 6, and included the following three groups. 1) Dual-income Group 1 (both spouses employed/on contract/temporary);2) Dual-income Group 2 (husband employed/on contract/temporary, wife part-time);3) Full-time housewife group (husband employed, wife unemployed). The analysis revealed that a) wives are almost always responsible for dropping off and picking up their children;b) husbands drop off and pick up their children less frequently in dual-income households;and c) households with children raising within 10 to 30 km of Tokyo Station have longer commuting times and need to reduce the burden of dropping off and picking up their children.

Review of Women’s Employment in Greece in the 20th and Early 21st Centuries

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.

Discussion on the Implications of Expansion in Postgraduate Education

This paper explores the development of postgraduate education in China,including the overall situation of postgraduate education,the trend in enrollment expansion in professional degrees as well as in various academic fields;it also triggers the impact and discussion about the postgraduate enrollment expansion,such as over-education and credential inflation,as well as the concerns about the quality of education and talent cultivation and so forth.Although the expansion brings various problems,the challenges may also become new opportunities for higher education reform,this paper also provides some suggestions on the expansion of postgraduate education.

Computational Strategy Research on the Development of Kiruna,in Sweden

In Kiruna,nearly all the residents support the migration plan in order to make LKAB able to continue the mining process.Based on current condition,a larger part of this town will be demolished by the sinking land caused by iron ore mining processing operated by LKAB.Since then,most of the buildings in the sinking district will be relocated in another district.However,the situation in Kiruna is not quite the same as when this kind of migration happens in another place.In other place,while migration happens,even if not most,a large part of the local residents will resist and fight for their house and properties.Concentrated on the ownership of different buildings and tried find the relationship between the public and private buildings to discover some issue that will help to work on the computational urban design.

Study on the Alignment Between Talent Training Directions and Employment Market Demands in the Landscape Architecture Industry

Currently,talent training in Chinese universities for landscape architecture is mainly divided into three directions:“landscape planning and design,”“landscape construction management,”and“landscape plant planting and maintenance.”However,with the background of the slowing urbanization process and the widespread demand for composite talents in society,it remains to be verified whether the traditional three major talent training directions in landscape architecture align with the job demands in the current construction market.Based on a survey and analysis of over 300 industry practitioners,this study found a clear trend of merging the three major employment directions into“landscape design and construction”and“landscape plant planting and maintenance.”This presents new requirements and directions for the skill training of landscape architecture majors in universities and provides insights into the alignment between talent training and employment demands in other industries.

Analysis of the Employment Situation of Non Private Enterprises in Various Regions of China

In the past 30 years, Chinese enterprises have been a hot topic of discussion and concern among the general public in terms of economic and social status, ownership structure, business mechanism, and management level. Solving the problem of employment for the people is an important prerequisite for their peaceful living and work, as well as a prerequisite and foundation for building a harmonious society. The employment situation of private enterprises has always been of great concern to the outside world, and these two major jobs have always occupied an important position in the employment field of China that cannot be ignored. With the establishment of the market economy system, individual and private enterprises have become important components of the socialist economy, making significant contributions to economic development and social progress. The rapid development of China’s economy, on the one hand, is the embodiment of the superiority of China’s socialist market economic system, and on the other hand, it is the role of the tertiary industry and private enterprises in promoting the national economy. Since the 1990s, China’s private enterprises have become a new economic growth point for local and even national countries, and are one of the important ways to arrange employment and achieve social stability. This paper studies the employment of private enterprises and individuals from the perspective of statistics, extracts relevant data from China statistical Yearbook, uses the relevant knowledge of statistics to process the data, obtains the conclusion and puts forward relevant constructive suggestions.

协同育人格局下促进医学研究生高水平就业的探索

改善高校毕业生就业工作一直是难点和热点。面对这一现状,复旦大学附属儿科医院围绕历届毕业生职业发展情况,以高质量培养、高水平就业为目标,创新医学研究生管理工作方法和实施路径,形成“三位一体”协同育人格局,构建新型“培养-就业”体系,注重激发学生自我能动性,保障医学研究生高水平就业,并取得一系列就业工作实效。

上海市疾病预防控制中心就业见习基地运行效果评估:基于结果链模型

目的 对上海市疾病预防控制中心针对高校毕业学年学生开展的就业见习基地运行效果进行评估,并就提升就业见习工作的效果提出政策建议。方法 构建基于结果链模型的评估指标体系,通过客观资料收集,并对2018—2022年的往届见习学员和带教老师,以及2022年末的在岗见习学员,开展满意度调查,分析和评估上海市疾病预防控制中心就业见习基地运行效果。在此基础上,提出改进就业见习工作的建议与措施。结果 基于结果链模型构建包括5个一级指标、14个二级指标、32个三级指标的评估指标体系,并对2018—2022年上海市疾病预防控制中心就业见习基地的运行效果进行评分,得分84.8分。其中,与上海市疾病预防控制中心就业见习基地相关的未得满分指标有:投入环节,管理体系中的组织架构;产出环节,基地产出中的见习岗位类别;结果环节,见习学员和带教老师的政策认知情况。结论 2018—2022年,上海市疾病预防控制中心就业见习基地运行情况良好,取得了一定的成效,但是仍存在不足。建议通过重视政策宣传,多渠道宣传上海市就业见习政策;完善组织架构,落实事前、事中、事后管理;拓展岗位类别,培养多类型公共卫生人才;延长见习期限,重视实践能力培养等措施加以改进。

Rural transformation,income growth,and poverty reduction by region in China in the past four decades

China has experienced rapid rural transformation in the past four decades.Accompanying the rapid transformation is a significant rise in rural household income and a substantial fall in rural poverty.This paper examines the evolutions of and the relationships between rural transformation(high-value agriculture and rural non-farm employment)and its outcomes(per capita rural income and rural poverty incidence)using provincial-level data.The results show that 31 provinces/autonomous regions/municipalities have undergone significant rural transformation,but the level and speed of rural transformation differed considerably.Moreover,an increased level of rural transformation is often associated with higher per capita rural income and reduced rural poverty incidence.Notably,a category of provincial rural transformation based on high-value agriculture and rural non-farm employment is also analyzed.We further discuss the likely impacts of institutions,policies,and investments(IPIs)on rural transformation and conclude with policy implications.

Regional rural transformation and its association with household income and poverty incidence in Indonesia in the last two decades

Increasing rural household income and reducing poverty rank among Indonesia’s top development priorities.Promoting rural transformation is one strategic policy framework to achieve these goals.In the last three decades,agricultural production has shifted from low-value food crops to high-value commodities,such as horticulture,estate crops,and livestock.Previous studies have analyzed rural transformation in Indonesia at the national level,but information on the magnitudes of impact across regions remains scarce.This study aims to analyze the changes in rural transformation at a regional level in the past two decades.The research utilizes secondary data from Statistics Indonesia(BPS),covering 34 provinces from 2000 to 2020,analyzed using descriptive and panel data regression analyses.The results show an increasing trend in the share of high-value agriculture(RT_(1))and rural non-farm employment(RT_(2)).Both RT_(1)and RT_(2)are positively associated with the growth of rural household income and a lower poverty rate.However,the speed of structural transformation(ST),RT_(1),RT_(2),rural income growth,and poverty reduction vary across regions.This research implies that improving rural income and reducing poverty should be done by integrating policies,i.e.,promoting highvalue agriculture and expanding rural non-farm employment.Particular attention should also be given to provinces with slow growth in ST,RT_(1),RT_(2),and rural household income.

Exploration and Research on Employment Guidance System in Universities from the Perspective of Artificial Intelligence

In the context of the era of continuous development of artificial intelligence, the labor value of university students is impacted by technological substitution. Simultaneously, university students are also required to constantly update their skills. All of the above will be the challenge of university students’ employment prospects. However, artificial intelligence will also bring new opportunities, which will stimulate the innovation ability of university students and bring new directions for employment. In order to better cope with the possible impact of artificial intelligence, universities should incorporate employment guidance services into the “three-wide education” system. To achieve this, universities need to take the following measures: developing the dynamic monitoring system of university employment based on big data, constructing the employment guidance curriculum system of university students throughout the whole process, updating the mode of diversified employment guidance service as well as establishing a team of employment guidance teachers keeping pace with the times. These measures aim to better adapt to the job market demands in the context of artificial intelligence, guide students to actively respond to the possible impact of artificial intelligence technology, cultivate their core competencies and qualities that are less likely to be replaced by artificial intelligence, and promote the high-quality employment of university students.

OPT-BAG Model for Predicting Student Employability

The use of machine learning to predict student employability is important in order to analyse a student’s capability to get a job.Based on the results of this type of analysis,university managers can improve the employability of their students,which can help in attracting students in the future.In addition,learners can focus on the essential skills identified through this analysis during their studies,to increase their employability.An effectivemethod calledOPT-BAG(OPTimisation of BAGging classifiers)was therefore developed to model the problem of predicting the employability of students.This model can help predict the employability of students based on their competencies and can reveal weaknesses that need to be improved.First,we analyse the relationships between several variables and the outcome variable using a correlation heatmap for a student employability dataset.Next,a standard scaler function is applied in the preprocessing module to normalise the variables in the student employability dataset.The training set is then input to our model to identify the optimal parameters for the bagging classifier using a grid search cross-validation technique.Finally,the OPT-BAG model,based on a bagging classifier with optimal parameters found in the previous step,is trained on the training dataset to predict student employability.The empirical outcomes in terms of accuracy,precision,recall,and F1 indicate that the OPT-BAG approach outperforms other cutting-edge machine learning models in terms of predicting student employability.In this study,we also analyse the factors affecting the recruitment process of employers,and find that general appearance,mental alertness,and communication skills are the most important.This indicates that educational institutions should focus on these factors during the learning process to improve student employability.

Employment Quality EvaluationModel Based on Hybrid Intelligent Algorithm

In order to solve the defect of large error in current employment quality evaluation,an employment quality evaluation model based on grey correlation degree method and fuzzy C-means(FCM)is proposed.Firstly,it analyzes the related research work of employment quality evaluation,establishes the employment quality evaluation index system,collects the index data,and normalizes the index data;Then,the weight value of employment quality evaluation index is determined by Grey relational analysis method,and some unimportant indexes are removed;Finally,the employment quality evaluation model is established by using fuzzy cluster analysis algorithm,and compared with other employment quality evaluation models.The test results show that the employment quality evaluation accuracy of the design model exceeds 93%,the employment quality evaluation error can meet the requirements of practical application,and the employment quality evaluation effect is much better than the comparison model.The comparison test verifies the superiority of the model.

Association between Occupational Change Trajectories and Mental Health: Results from the Korean Longitudinal Study of Aging

Objectives:This study was to longitudinally investigate the association between occupational change trajectories and mental health in the Korean population aged 45 years and older from the Korean Longitudinal Study of Aging(KLo-SA).Methods:After excluding missing values,the data of 6,224 participants from thefirst to eighth waves of the KLo-SA were analyzed using t-test,Analysis of variance(ANOVA),Group-based Trajectory Model(GBTM)from 1–5th KLoSA and Time-Lagged Generalized estimating equation(GEE)model from 5–8th KLoSA to analyze the association between occupational change trajectories and mental health in the Korean population aged 45 years and older.Results:An analysis of the association between occupational change trajectories and mental health demonstrated that,among all age group,the“sustained in unemployment”group had a worse MMSE and CESD score compared to“sustained WC”group.unlike the under-54 age group,those aged≥55 years demonstrated reductions in the MMSE and CESD scores in the sustained unemployment and the changed working condition from Standard BC to Unemployment groups,whereas those who underwent a change from the Standard WC to unemployment group only demonstrated a reduction in MMSE scores.Conclusions:There was a close relationship between occupational change trajectories and mental health.Therefore,this study can serve as the foundation for policies and institutional measures to manage the deteriorate mental health in the late middle-aged and older population.

Inclusive Finance,Income Gaps and Common Prosperity

According to the Report to the 20^(th) CPC National Congress,delivering common prosperity for all the people is an intrinsic requirement of Chinese modernization.Based on China Household Finance Survey(CHFS)data from 2015 to 2019,this study examines the effects of inclusive finance on China’s household income disparities and demonstrates how inclusive finance contributes to shared prosperity.Our empirical research reveals that inclusive finance has significantly decreased the income disparities between Chinese households.Inclusive finance has significantly increased the income levels of households below the 40^(th) percentile,making it more likely for them to move above the 40^(th) percentile of incomes,which is conducive to delivering common prosperity.Our analysis indicates that inclusive finance will reduce income disparities by assisting low-income households in starting a business and by promoting rural household employment.Reflecting its inclusive nature,further investigation reveals that inclusive finance has a greater positive impact on the income level of vulnerable households.Our research offers new evidence for comprehending the role of inclusive finance and a new interpretation of income disparities,with policy implications for accelerating Chinese modernization.