Articles

<b>Background: </b>Socioeconomic status (SES) is widely associated with improved health, behavioral, and educational outcomes. However, emerging research suggests that these benefits are not uniformly experienced across populations or contexts. The theory of Marginalization-related Diminished Returns (MDRs) has primarily focused on racial and ethnic disparities, showing that individuals from racially marginalized groups often experience weaker protective effects of SES. There is a lack of evidence on geography—particularly rural residence—as a moderator of SES effects. <b>Objective:</b> This review explores how place, especially rural contexts in the U.S., shapes the extent to which SES translates into improved outcomes. We extend the MDRs framework to include place-based and geography-based marginalization, arguing that even among non-Hispanic White populations, rural residence can lead to diminished returns on education, income, and other forms of capital. <b>Content:</b> Drawing on theoretical models such as Fundamental Cause Theory and Bronfenbrenner’s Ecological Systems Theory, and synthesizing empirical findings from studies of academic achievement, substance use, and educational aspirations, this review highlights how structural disadvantages in rural areas weaken the effectiveness of individual and family-level resources. <b>Conclusion: </b>Rural health and educational disparities are not solely due to a lack of resources but may also reflect systemic conditions that erode the value of existing resources. Policy interventions must be place-aware and address the contextual constraints that limit opportunity. Future research should more explicitly test how geography moderates the effects of SES across a range of outcomes and populations.

<b>Background: </b>Educational attainment is often regarded as a pathway to economic stability and social mobility. However, the Minorities’ Diminished Returns (MDRs) framework has demonstrated that the effects of educational attainment on various economic, behavioral, and health outcomes are weaker for marginalized populations, including racial/ethnic minorities, immigrants, LGBTQ+ individuals, and those living in disadvantaged areas. While MDRs have been documented for various marginalized demographic groups, the role of trauma in moderating socioeconomic outcomes remains underexplored. <b>Objective:</b> This study examines whether lifetime trauma exposure diminishes the positive association between educational attainment and poverty-to-income ratio (PIR), a key indicator of economic well-being. <b>Methods:</b> Using data from the National Survey of American Life (NSAL), we analyzed a nationally representative sample of 6,008 adults, including Black, White, Latino, and Other racial/ethnic groups. We employed linear regression models to evaluate the association between the independent variable educational attainment and the outcome PIR. We then tested lifetime trauma as a moderator of this association. Models controlled for age, gender, employment, and race/ethnicity. <b>Results:</b> Educational attainment was positively associated with PIR across all groups, but the strength of this association was significantly attenuated for individuals with a history of lifetime trauma. These effects were independent of covariates. <b>Conclusions:</b> These findings extend the MDRs framework by highlighting trauma as a potential contributor to diminished returns of education on socioeconomic wellbeing. Structural inequities that increase trauma exposure in minoritized populations may also limit the economic benefits of education, particularly for groups with multiple trauma exposures. Policies aimed at addressing economic inequality must integrate social policies that reduce trauma and stress.

<b>Background: </b>Education is widely recognized as a key driver of wealth generation, providing individuals with the opportunity to enhance their socioeconomic status. However, the effectiveness of education in generating wealth varies significantly across different social groups. In the United States, research has shown that Black individuals experience weaker economic returns on education compared to their White counterparts, a phenomenon explained by the theory of Minorities' Diminished Returns (MDRs). Although MDRs have been documented in various countries, their relevance to caste-based disparities in India remains unexplored. <b>Objective: </b>This study aims to investigate the caste-based diminished returns of education on wealth in India. We hypothesize that the returns on educational attainment, in terms of wealth generation, will be weaker for individuals from Scheduled Castes (SCs) compared to those from higher castes, using data from the India Demographic and Health Surveys (DHS). <b>Methods: </b>This study was a cross-sectional analysis of DHS -2019/2021 data from India, examining the relationship between educational attainment and wealth across different caste groups (scheduled castes and non-scheduled castes). Multivariate regression models will be employed to assess the interaction between caste and education in predicting wealth outcomes, controlling for relevant covariates such as age, gender, and region. <b>Results: </b>The study is expected to find that the returns on education, in terms of wealth, are significantly weaker for individuals from Scheduled Castes compared to those from higher castes. This would indicate that caste-based discrimination continues to hinder the economic progress of Scheduled Castes, even when they achieve similar levels of education as their upper-caste counterparts. <b>Conclusion: </b>The findings of this study will extend the MDR framework to the Indian context, demonstrating that caste-based disparities result in diminished returns on education for wealth generation. This study underscores the need for targeted policies that address the specific barriers faced by Scheduled Castes in translating educational attainment into economic success and highlights the ongoing impact of caste-based discrimination in India.

Ghana's Free Senior High School (SHS) policy has been touted as one of the most significant educational reforms in recent years, fueling the nation's achievement of <i>Goal 4</i> of the United Nations Sustainable Development Goals (SDGs). While many studies have been conducted on the policy’s impact on beneficiaries, little is known about its impact on tertiary institutions. The purpose of this study is to evaluate the socioeconomic effects of the Free SHS policy on tertiary institutions in Ghana's Western Region. We also provide suggestions on how to improve the policy's efficacy and lessen any obstacles to its incorporation into higher education. Methodologically, 103 employees of Takoradi Technical University and the University of Mines and Technology were sampled using a purposive sampling technique. According to the report, despite the lack of adequate facilities such as lecture halls, dorms, and residence halls on campus, the Free SHS policy has increased enrollment at the postsecondary level. This has resulted in a high student-to-lecturer ratio, increased utility bills, a high cost of living on campus, and a rise in the opening of businesses on campus. To address some of these socioeconomic impacts, respondents proposed that the government should improve infrastructure in the country's higher institutions, hire more lecturers, boost incentives for lecturers, and foster partnerships with private institutions to support infrastructure development.

This paper leverages gene and cell therapy research in diverse disorders ranging from monogenic to infectious diseases to cancer and emerging breakthroughs, where one can harness individual genes or a synthetic gene sequence designed based on a shared molecular pattern in infected cells to better fight various disorders [1]. A pivotal task is to predict the performances of candidate gene therapies to guide clinical translational research using methods such as retrospective bioinformatic analyses. Implementing them to a large-scale gene therapy database reveals that it is feasible to construct and apply well-performing interpretable, supervised learning models [2]. Preliminary evidence of machine learning approaches' statistical significance helps clinicians and biomedical researchers, market participants, and regulatory and economic experts derive relevant, practical applications, thereby enhancing the deployment of gene therapy and genomics to achieve positive, long-term growth for humanity while alleviating the ongoing worldwide economic burden precipitated by prolonged and recurring diseases. Deploying machine learning techniques to accelerate gene and cell therapy drug development and trials shall also mitigate the existing obstacle of limited patient access to emerging, transformative medical innovations such as gene therapy due to skyrocketing prices, which often herald gene therapy products as the world's most expensive medicines [3]. Moreover, in preventing patients from accessing effective, life-saving genetic medicines, there commonly exists a multidimensional access gap encompassing the availability, affordability, and quality or acceptability of these clinical treatments. The ensuing substantial gap has repeatedly been documented and mainly emanates from differential institutional and socio-political choices around resource allocation at international and domestic levels [4]. Particularly, it is also due to the stringent licensure and regulatory approval processes underpinned by insufficient evidence for novel safety and clinical efficacy profiles for genetic therapies in multiple micro-local diagnoses and subpopulations. We believe that a higher likelihood of gene therapy adoption shall result when the clinical evidence path contains adequate representation from the most diverse and relevant patient populations [5].

Progress in the development and adoption of technological innovations is instrumental in enhancing the efficiency of production systems across the globe. Through the introduction of cost-efficient and high-performing technologies, countries can both reduce the resource use intensity of their economies and boost the global supply of essential products. The focus of this study is to analyze the application of advanced machinery and mechanisms within the agricultural sector, a primary industry that acts as a major contributor to the gross domestic product (GDP) of many nations. Specifically, this paper provides an in-depth review of the latest impact assessments based on analytical and modeling tools conducted on agricultural machinery and production technologies. Our findings highlight the positive role played by scientific progress and innovation in driving the competitiveness, growth and improved sustainability of the agricultural sector. Over the years, advanced technologies have accelerated the development and modernization of machinery, equipment, and processes in farming. Typically, modern machinery and equipment have enabled large-scale production on farms, enhancing the cost-efficient use of both land and labor, as well as the capacity and timeliness in performing essential agricultural operations. The rapid diffusion of technical advancements has further contributed to resource savings, productivity growth, and the overall transformation of agricultural value chains. Accordingly, the implementation of appropriate enabling conditions is of vital importance in encouraging the widespread integration of technologies in agriculture, not only boosting productivity along the agri-food chain but also yielding widespread social, economic, and environmental benefits.

The purpose of the study was to examine teachers’ perception on repairing of clothes in Agona Kwanyako in the central region of Ghana. Quantitative research approach and Descriptive survey design were adopted for this study. The population of this study comprised teachers in the seven public Basic Schools, one Senior High School, two private Basic Schools and one Vocational and Technical School in Agona Kwanyako. Krejcie and Morgan chart was used to sample hundred and fifty-five (155) out of two hundred and sixty (260) teachers in Agona Kwanyako schools. The main instrument for data collection and analysis was questionnaire. All the questionnaires retrieved were prepared by sorting and coding. They were then entered into IBM SPSS Statistics 2017 version 25.0 for data to be analysed. The SPSS software was used to generate mean, standard deviation, frequency and percentages on the data because it is fast, energy saving and gives a consistent and accurate statistical representation of raw data. Findings were then discussed in relation to the research question for the study. Data were presented using tables and charts. The study indicated that the perception one holds about the repair of clothes affects how they view the act and their subsequent adaptation of the exercise. The perception teachers hold about clothes repair was that, clothes protect the environment, create employment and alleviate one from poverty, helps clothes stay trendy and can give one a sense of satisfaction. It can also be concluded that clothes that are normally used such as dresses, shirts and trousers are the types of clothes mostly repaired. Teachers have positive perception about clothes repair. Based on this it is recommended that Home Economics teachers should team up with other teachers to inculcate proper clothes care in their students. Also, clothes should be made in such a way that repairing is easier and possible based on the findings on the types of clothes that are mostly repaired.

In this article, we discuss a new proposed concept of economic engineering that seeks to innovate a new model by combining the theories of Karl Marx and Adam Smith, taking into consideration main economic factors to create a sustainable and inclusive economic system that addresses existing challenges and provides a roadmap for future economic growth. Through a brief analysis of the existing gaps between Marxist and Smithian economics, we developed a new economic matrix that leverages the strengths of both theories while also incorporating the latest insights from modern economic research. Our novel approach to economic engineering represents a fresh perspective on the economy and offers practical tool for addressing the most pressing challenges facing society today.

Even patients from developed nations have trouble staying on top of their drug compliance. When it comes to improper medicine use, there is an odd parallel between underdeveloped, emerging nations and the so-called developed world in the West. The key factor influencing whether patients stick to their treatment plan is their understanding and perception of the disease.

The study sought to examine the socio-economic and cultural factors that affect women’s participation in local level governance in selected districts in the Central Region of Ghana. The qualitative approach was employed for this study, and an interview guide was used to gather data from 11 women assembly members and two of their husbands, making a total of 13 participants. The participants were sampled using purposive, snowball and convenient sampling techniques. The data was analysed thematically. The study identified lack of self-confidence, limited funds, unsupportive family, abuse and harassment, political affiliations in the Assembly and unsupportive religious organizations as the socio-economic and cultural barriers to women participation in local level governance in Agona West, Gomoa West and Gomoa Central Districts in the Central Region of Ghana. The findings showed that despite the barriers, some of the women were able to surmount such challenges and became successful in the District Assembly elections. The study recommended that special fund should be set up by the government to support Assembly women to perform their roles and responsibilities within their communities regularly. Such funds may help them fulfil their campaign promises, which may encourage them to seek re-election in the District Assemblies. Also, female politicians should mentor potential female politicians. The mentors may support them to build the confidence required to engage in local level politics and to aspire higher positions in political office.

The number of poor people continues to rise in Africa, despite a slow decline in the poverty rate. Africa with a population of 422 million poor people, representing about 70 per cent of the world's poorest people shows that the global burden of poverty has shifted from the rest of the world to Africa. This paper discussed the causes of poverty on the continent and various responses by stakeholders toward accelerating its poverty reduction. It was found that with the available statistics and projections, Africa will still fall short of eradicating poverty by 2030, but it can bring it to a low level. The study, therefore, recommends that African policymakers should aim for growth that is inclusive and sustainable. International support from the world bank, ODA, G7, and others will play a vital role, especially through technology and resource transfers, also African continent need to improve its resource mobilization.

The aim of this article is to examine the impacts of Coronavirus Disease -19 (Covid-19) vaccines on economic condition and sustainable development goals. In other words, we are going to study the economic condition during Covid19. We have studied the economic costs of pandemic, benefits in terms of gross domestic product (GDP), public finances and employment, investment on vaccines around the world, progress and totally the economic impacts of vaccines and the impacts of emerging markets (EM) on achieving sustainable development goals (SDGs), including no poverty, good health and well-being, zero hunger, reduced inequality etc. The importance of emerging economies in reducing the harmful effects of the Corona has also been noted. We have tried to do experimental results and forecast daily new death cases from Feb-2020 to Aug-2021 in Iran using Artificial Neural Network (ANN) and Beetle Antennae Search (BAS) algorithm as a case study with econometric models and regression analysis. The findings show that Covid19 has had devastating economic and health effects on the world, and the vaccine can be very helpful in eliminating these effects specially in long-term. We observed that there is inequality in the distribution of Corona vaccines in rich countries compared to poor which EM can decrease the gap between them. The results show that both models (i.e., Artificial intelligence (AI) and econometric models) almost have the same results but AI optimization models can robust the model and prediction. The main contribution of this article is that we have surveyed the impacts of vaccination from socio-economic viewpoint not just report some facts and truth. We have surveyed the impacts of vaccines on sustainable development goals and the role of EM in achieving SDGs. In addition to using the theoretical framework, we have also used quantitative and empirical results that have rarely been seen in other articles.

This research is conducted with main aim of assessing the economic consequences of Covid-19 pandemic in Western Ethiopia. Primary data is collected through questionnaire and interview from 320 respondents living in three zones of Western Ethiopia. The study areas (zones) are selected purposively from Oromia region; however, the respondents are sampled by employing random sampling technique. The respondents were stratified as community members, daily laborer, business owners, government sector and NGOs employees. Exploratory research design was adopted to achieve the research objectives. Simple descriptive statistics and ordinary least square regression model are used to analyze and interpret the collected data. The study results disclose that majority of community have good awareness about the pandemic and social interaction is reduced due to social distancing. Majority of respondents realize the negative impact of Covid-19 on their economy; reduction of office services; and reduced access to market; and absence of strong support from the government. The great severity of Covid-19 impacts is failed on daily laborers. The regression result shows that sales, experience in business, education level in years, employment status of the respondent, number of workers in the business and work hours per week are positively and significantly influencing daily income of business owner before and after the pandemic outbreak. It is advised the stakeholders to give frequent follow-up and support particularly for daily laborers and small business holders to reduce the future socio-economic impacts of Covid-19 pandemic.

The linkage between fiscal policy and economic growth has attracted the attention of empirical investigators in economic literatures. This study systematically reviewed sub-Saharan African literatures just to examine the relationship between fiscal policy and economic growth. To achieve the objective of the study, 11(eleven) empirical literatures in 7(seven) Sub-Saharan African literature studied between the year 2013 and 2020 were selected. As regard to sampling, random sampling was used to enhance the representatives of the sample. The criteria for selection were the relevance of the topic and the geographical area of studies. In this procedure, the first geographical area and then studies were selected. In the second stage relevance of the studies was considered as inclusion crateria. Descriptive statistics was used for data analysis. The result shows that the studies selected for review are more interested in the long-run relationship between fiscal policy and economic growth than its short-run effect. This implies that Sub-Saharan African countries are using fiscal policy for economic growth rather than stabilization. Regarding consensus on the relationship between the two variables, majority of the literature selected for review found that fiscal policy is positively and significantly affecting the economic growth of the Sub-Saharan African countries. The major fiscal policy tools used in the selected literature are government expenditure and tax reflecting the similarity of economic structures and compositions in sub-Saharan Africa. In conclusion, the compositions of fiscal policy instruments are almost similar in sub-Saharan Africa. The policy implication is that policymakers in sub-Saharan Africa should give due attention to the composition of fiscal policy tools.

Using a desktop review of literature, the effect of illegal capital flows on the economic performance of Sub-Saharan Africa is examined. The review focus on articles with attention to illegal capital flows and their effects on the economic performance of Sub-Saharan Africa as a whole. By way of sampling method, purposive sampling was used, and so the desktop review focused purposively on articles published on issues of illicit financial flows and their effects on the economic performance of Ghana and Sub-Saharan Africa as a whole. The review found a high propensity of trade mis-invoicing and thus high illicit financial flows, transactions across boarders from developing countries and for that matter Sub-Saharan Africa to the developed economies. Therefore, the research recommends that customs divisions in sub-Saharan Africa should have up-to-date commodity-level world pricing information to make relatively better comparisons to detect mis-pricing and avoid such falsification and manipulation in trade. Given the high propensity of trade mis-invoicing resulting in high illicit financial flows, we recommend that cross-border transactions from developing sub-Saharan African countries be subjected to heightened scrutiny to curtail any potential traces of falsification in trade for tax evasion.

The purpose of the study was to examine the Motives of Tourists; Socio-Economic and Challenges of tourism in Kwahu in the Eastern Region of Ghana The study adopted a descriptive survey research design. The population of the study comprised six (6) communities (Mpraeso, Atibie, Obomeng, Obo Oworobong, and Nketepa in Kwahu South District Assembly (KSDA) in the Eastern Region of Ghana. Purposive and convenient sampling techniques were employed to select two hundred (200) respondents for the study. The main instrument used for data collection was questionnaires. The study employed the statistical package for social sciences (SPSS) to code and process the collected data. Descriptive and relational statistical techniques involving frequencies, percentages, summations, diagrams, and tables were employed in analysing the data. The Chi-square test analysis was used to explore the relationships and differences in perceptions. The study indicated that every tourist, whether local (Ghanaian) or foreign, had at least one of the following motives in mind for participating in the festival; To socialize; For relaxation; For education to participate and witness the paragliding festivals; To take photographs of festival scenes; Other motives like to sell items, especially souvenirs. The study also revealed that the KEF has had some positive socio-economic impact or implications on the area. These among others include: job creation, income generation for locals of the area, infrastructural development, and projection of the image of the area as the festival has become one of the biggest gatherings of revellers in the country, drawing people from all walks of life, nationally and internationally as a result of the introduction of paragliding since 2005, socialization enhancement, medium for cultural exchange and education, and finally serves as a medium for portraying the cultural identity of the people of Kwahu. The study also indicated that the major challenges encountered by tourists during the event were listed in order of degree of intensity: High cost of living, poor road network in the area, intermitted electricity and water supply, poor sanitary conditions in the area, poor health facilities, and unwelcoming attitude of some local residents of the festival area. It is recommended that, residents must be educated about the potential benefits of tourism as an industry helping to achieve sustainable community development. It is also recommended that Ghana tourism authority and Kwahu District Assembly should collaborate to improve on social amenities in the municipality to attract more foreign and local tourists during the festivity.

The purpose of the study was to assess the socioeconomic status and levels of parental involvement on the academic performance of Junior High School Students in the Upper West Akim District in Ghana. The study adopted the quantitative approach and specifically used the descriptive survey design. Simple random sampling and purposive sampling techniques were used for the selection of schools and respondents for the study. The main instrument used for data collection was questionnaire. The Statistical Product and Service Solutions (SPSS) software version 22 was used for analysis of data gathered. The study concluded that, parents’ socioeconomic status specifically; education, occupation and income levels, is an important factor that determines the academic performance of students in the Upper West Akim District. The educational and income statuses have a positive relationship with the academic performance of students. The findings from the study also revealed that, parents who ensure that their children study at home, provide their educational needs, discuss their progress with their teachers and attend PTA meetings regularly have children who perform better academically as compared to children whose parents do not see to it that their children study at home, provide the educational needs of their children, discuss their children’s learning with teachers and attend PTA meeting regularly. It is recommended that, Considering the strong positive relationship between parental involvement and academic performance, it is recommended that government through the National Commission for Civic Education (NCCE) should educate parents, teachers and school managers on the relevance of parental involvement in the education of the child and the need for the school to create an atmosphere that would involve parents in the education of their wards. It is also recommended that, adult literacy should be enhanced by government to improve the level of education of parents in the Upper West Akim District which will go a long way to improve participation of parents in children’s education and hence improve their academic performance.

The purpose of the study was to assess Academic achievement of Low- Social-Economic-Status (SES) of Junior High School Students in Ghana. The study employed a descriptive, cross-sectional survey design. The population for the study comprised all JHS students and teachers in the Aboom Circuit of the Cape Coast Metropolis. Krejcie and Morgan (1970) sampling table, Purposive and randomly sampling techniques were used to select schools, teachers and students for the study. The sample frame for the study was all students and teachers in the five selected JHS of the Aboom Circuit of the Cape Coast Metropolis. The sample size for the study was 350 for students and 30 for teachers. The main instrument for data collection for the study as questionnaire. Research question was analysed using mean and standard deviation; hypothesis was analysed using Pearson Product Moment Correlation. The study revealed that continued, consistent and persistent presence of these student-related factors such as hunger, lack of self-motivation, poor study habit, watching TV, laziness, and students’ truancy or absenteeism negatively affect students’ academic achievement. The results of the study also indicated that there was a moderate, negative correlation between student-related factors and students’ academic achievement with high levels of perceived student-related factors with low levels of students’ academic achievement. It is recommended that, the role of guidance and counseling session in schools is to assists students to be focused on their studies. Therefore, guidance and counseling sessions in various schools should be effectively organised to prevent students’ truancy. It is also recommended that School administrators in partnership with PTA leadership and NGOs should educate students on the relevance of education and give social support to students from low socio-economic backgrounds and motivate them in their studies.

The objective of the study was to examine the school-related factors that contribute to the academic achievements of low- social economic – status of students in the Aboom Circuit of the Cape Coast Metropolis during 2015-2016 academic years. The study adopted descriptive survey research design. Purposive and random sampling techniques were used to select teachers, schools and students. The five junior high schools (St Nicholas, St. Monica, Aboom Methodist B, Aboom Zion A and Aboom Zion C) were randomly selected from the ten schools in the circuit. A proportional allocation was used to determine and allocate the total number of students from the population to each school. The main instrument for data collection was questionnaire. The data were entered in a pre-designed template in the Statistical Package for Social Science (SPSS) software, version 21. The data were analysed using descriptive (frequency and percentages, mean and standard deviation) and inferential statistics (correlation). The research hypothesis was also analysed using Pearson Product Moment Correlation. The hypothesis was tested at 0.05 level of significance. The study indicated that school-related factors such as school time schedule, resources, school climate, guidance and counselling, school-parents’ relationship may significantly contribute to students’ academic achievement. It is also concluded that when the right atmosphere or conditions are created, students can perform well irrespective of their socio-economic statuses or backgrounds. It is recommended that the Ministry of Education (MOE)/Ghana Education Service (GES) in partnership with school administrators should provide adequate teaching and learning resources and facilities for effective teaching and learning at the school. It is also recommended that in other to ensure effective teaching and learning, the Ministry of Education (MOE) and the Ghana Education Service (GES) should collaborate to implement a class size reduction policy effectively as expected. This means that the student-to-teacher ratio should strictly be adhered to.

The Nigerian Government both previous and present has introduced several policies and programmes to reduce or proffer remedial measures to militate against the negative impact of high inflationary levels on the Nigerian economy. All these measures have not led to a productive result as the inflation rate has continued to sour higher over the years. This paper aimed at examining the economic influence of the determinant factors that influence inflationary trends that are multi-dimensional and dynamic which continue to defy solutions. The data used for this work was sourced from the National Bureau of Statistics and Central Bank of Nigeria, from 1983 to 2020. The ordinary least square approach was used to analyze the data and the result shows that consumer’s price index, interest rate and total export has a positive effect on Nigeria inflation, but only the Consumer’s Price Index (CPI) have a statistically significant effect on the Nigeria inflation at 99% confidence interval. Result also shows that the exchange rate, foreign reserve, money supply, real GDP, real income and total imports has a negative effect though not statistically significant on the Nigeria inflation rate. The result of the granger causality test shows exchange rate and total imports to granger cause Nigeria inflation. It is recommended that Government should improve locally manufacture products to meet international demands to reduce total imports.