Logit Regression Model Research Articles

Study the influencing factors of passing or failing the exam

Previous studies have analyzed the factors affecting academic performance and concluded that the length of study is related to academic performance. However, there are other factors worth investigating. Data from 500 students were analyzed using the Binary Logistic Regression model. This paper studies the influence of Study Hours and Previous Exam Scores on pass or fail the exam. The results of the likelihood ratio test of the binary Logit regression model show the validity of the model and the significance of the construction of the model. In the Hosmer-Lemeshow fit test, the p-value is greater than 0.05, the model is considered to have good goodness of fit and passes the HL test. Through research, the author finally concludes that Study Hours and Previous exam Scores have a positive impact on passing the exam. Therefore, this paper argues that people can improve the likelihood of passing the exam by increasing their study time before the exam and getting better grades in the previous exam.

Navigating Challenges: Herdsmen-Crop Farmers Conflict and its Effect on Yam Productivity in Benue State

The conflict between herdsmen and crop farmers in Nigeria has significantly impacted the productivity of yam farmers in the Logo Local Government Area of Benue State. The study investigated this conflict's impact on yam farmers' productivity. Data was collected from a structured questionnaire administered to 400 households affected by the conflict. The study found that the conflict negatively impacts the productivity of yam farmers in the Logo Local Government Area. The study reveals that 67.3% of yam farmers in Benue State are male, with a mean age of 35. The majority are married, have an average household size of 11 people, and have a small-scale farm size. Their low education level may contribute to unabated conflict dynamics. The study reveals that herdsmen attacks significantly reduce the productivity of yam farmers in the study area, with a higher number of respondents producing more output before the attacks and a lower number after the attacks. The logit regression model shows that Fulani attacks, attacks by Fulani herdsmen, and technology led to significant deaths in households, reducing the labour force, destroying farmers' inputs, and instilling terror. In conclusion, the study reveals that herdsmen attacks have significantly reduced the productivity of yam farmers in the study area, affecting not only the labour force but also their inputs and livelihoods, highlighting the detrimental impact of conflict-related violence. It was recommended that the government should also provide easy access to finance for farmers affected by this conflict to recover their lost farm capital.

Examining the Effect of Depicting a Patient Affected by a Negative Reimbursement Decision in Healthcare on Public Disagreement with the Decision.

The availability of increasingly advanced and expensive new health technologies puts considerable pressure on publicly financed healthcare systems. Decisions to not-or no longer-reimburse a health technology from public funding may become inevitable. Nonetheless, policymakers are often pressured to amend or revoke negative reimbursement decisions due to the public disagreement that typically follows such decisions. Public disagreement may be reinforced by the publication of pictures of individual patients in the media. Our aim was to assess the effect of depicting a patient affected by a negative reimbursement decision on public disagreement with the decision. We conducted a discrete choice experiment in a representative sample of the public (n = 1008) in the Netherlands and assessed the likelihood of respondents' disagreement with policymakers' decision to not reimburse a new pharmaceutical for one of two patient groups. We presented a picture of one of the patients affected by the decision for one patient group and "no picture available" for the other group. The groups were described on the basis of patients' age, health-related quality of life (HRQOL) and life expectancy (LE) before treatment, and HRQOL and LE gains from treatment. We applied random-intercept logit regression models to analyze the data. Our results indicate that respondents were more likely to disagree with the negative reimbursement decision when a picture of an affected patient was presented. Consistent with findings from other empirical studies, respondents were also more likely to disagree with the decision when patients were relatively young, had high levels of HRQOL and LE before treatment, and large LE gains from treatment. This study provides evidence for the effect of depicting individual, affected patients on public disagreement with negative reimbursement decisions in healthcare. Policymakers would do well to be aware of this effect so that they can anticipate it and implement policies to mitigate associated risks.

Flood vulnerability assessment in rural and urban informal settlements: case study of Karonga District and Lilongwe City in Malawi

Flood vulnerability assessment (FVA) informs the disaster risk reduction and preparedness process in both rural and urban areas. However, many flood-vulnerable regions like Malawi still lack FVA supporting frameworks in all phases (pre-trans-post disaster). Partly, this is attributed to lack of the evidence-based studies to inform the processes. This study was therefore aimed at assessing households’ flood vulnerability (HFV) in rural and urban informal areas of Malawi, using case studies of Traditional Authority (T/A) Kilupula of Karonga District (KD) and Mtandire Ward in Lilongwe City (LC). A household survey was used to collect data from a sample of 545 household participants. Vulnerability was explored through a combination of underlying vulnerability factors (UVFs)-physical-social-economic-environmental and cultural with vulnerability components (VCs)-exposure-susceptibility and resilience. The UVFs and VCs were agglomerated using binomial multiple logit regression model. Variance inflation factor (VIF) was used to check the multicollinearity of variables in the regression model. HFV was determined based on the flood vulnerability index (FVI). The data were analysed using Multiple Correspondence Analysis (MCA), artificial neural network (ANN) and STATA. The results reveal a total average score of high vulnerability (0.62) and moderate vulnerability (0.52) on MCA in T/A Kilupula of Karonga District and Mtandire Ward of Lilongwe City respectively. The FVI revealed very high vulnerability on enviroexposure factors (EEFs) (0.9\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.9$$\\end{document}) in LC and(0.8\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$(0.8$$\\end{document}) in KD, followed by ecoresilience factors (ERFs) (0.8) in KD and(0.6\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$(0.6$$\\end{document}) in LC and physioexposure factors (PEFs) (0.5)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$0.5)$$\\end{document} in LC besides 0.6 in KD for the combined UVFs and VCs. The study concludes that the determinants of households’ flood vulnerability are place settlement, low-risk knowledge, communication accessibility, lack of early warning systems, and limited access to income of household heads. The study recommends that an FVA framework should be applied to strengthen the political, legal, social, and economic responsibilities of government for building the resilience of communities and supporting planning and decision-making processes in flood risk management.

Discussions of Cancer Survivorship Care Needs: Are There Rural versus Urban Inequities?

Rural cancer survivors may face greater challenges receiving survivorship care than urban cancer survivors. To test for rural versus urban inequities and identify other correlates of discussions about cancer survivorship care with healthcare professionals. Data are from the 2017 Medical Expenditure Panel Survey (MEPS), which included a cancer survivorship supplement. Adult survivors were asked if they discussed with a healthcare professional 5 components of survivorship care: need for follow-up services, lifestyle/health recommendations, emotional/social needs, long-term side effects, and a summary of treatments received. The Behavioral Model of Health Services guided the inclusion of predisposing, enabling, and need factors in ordered logit regression models of each survivorship care variable. A significantly lower proportion of rural than urban survivors (42% rural, 52% urban) discussed in detail the treatments they received, but this difference did not persist in the multivariable model. Although 69% of rural and 70% of urban ssurvivors discussed in detail their follow-up care needs, less than 50% of both rural and urban survivors discussed in detail other dimensions of survivorship care. Non-Hispanic Black race/ethnicity and time since treatment were associated with lower odds of discussing 3 or more dimensions of survivorship care. This study found only a single rural/urban difference in discussions about survivorship care. With the exception of discussions about the need for follow-up care, rates of discussing in detail other dimensions of survivorship care were low among rural and urban survivors alike.

Athlete Momentum Visualization Based on Logit Regression Model and LSTM Prediction Model

Athlete Momentum Visualization Based on Logit Regression Model and LSTM Prediction Model

Societal preferences for granting orphan drugs special status in reimbursement decisions

BackgroundOrphan drugs, for patients with a rare disease, are increasingly available but often do not meet standard cost-effectiveness criteria for reimbursement. Consequently, policymakers regularly face the dilemma whether to relax these criteria for reimbursing orphan drugs. We examined whether—and why—there would be societal support for such differential treatment of orphan drugs. MethodsWe conducted a labelled discrete choice experiment in a sample of the adult population (n = 1,172) in the Netherlands. Respondents were presented with ten choices on whether to reimburse an orphan drug given that a non-orphan drug with similar characteristics would not be reimbursed, because it was not cost-effective, and asked to explain their choices. We used random-intercept logit regression models and inductive coding for analysing the quantitative and qualitative data. ResultsOf the respondents, 36.4% consistently chose for reimbursing the orphan drug, mostly because “everyone is entitled to live a healthy life and good quality healthcare”, and 17.3% consistently for not reimbursing the orphan drug, mostly because “[this] is unfair to patients with a common disease”. The remaining 46.3% made alternating choices and were more likely to choose for reimbursing orphan drugs when patients were aged between 1 and 70 years, had moderate disease severity, and considerable health gain from treatment. ConclusionsThis study finds considerable support but also strong preference heterogeneity amongst members of the public in the Netherlands for differential treatment of orphan drugs in reimbursement decisions, when these drugs do not meet common cost-effectiveness criteria. However, a substantial minority opposes differential treatment, mostly on moral grounds.

ASSESSMENT OF THE OPERATIONAL PERFORMANCE OF FARMERS' COOPERATIVE SOCIETIES IN SOUTH EAST NIGERIA

To uncover the constraints and entry points for improving the operational performance of farmers' cooperative societies in southeast Nigeria forms the motivation for this study. Farmers' cooperatives have enormous potential to support economic growth at the rural and regional levels, building on the spirit of teamwork that is already common among the rural people. A decent number of qualities differentiate cooperative associations from other different entities. These comprise open and voluntary enrollment. Cooperative social orders are available to all citizenry with common interests. This study analyzed responses from two hundred and forty respondents selected through a multi-stage sampling procedure. Frequency, mean, Likert scale and ordered logit regression model were used for the analysis. The perception of members of farmers' cooperative societies on their operational performance showed that the cooperatives in the area performed well in terms of members' access to training, participation during decision-making, voting during elections, and leaders' emergence through the democratic process. The ordered logit regression result of the socioeconomic factors to the operational performance of the farmers' cooperatives showed that membership strength, Age of the cooperatives, access to free input, access to training, and access to infrastructural facilities were statistically significant and positively related to farmers' cooperatives level of operational performance. Thus, the study recommends that Cooperative societies supply their members' goods and services for improved income and savings investment, improved productivity, and bargaining power through maximum utilization of economies of scale and cost and risk sharing.

Occupational tasks associated with shoulder pain and upper extremity disability: a cross-sectional study in the Johnston County Osteoarthritis Project

BackgroundShoulder pain is a leading cause of disability. Occupations requiring high upper extremity demands may put workers at greater risk of shoulder injury and resulting pain. We examined associations of occupation with shoulder pain and upper extremity disability in the Johnston County Osteoarthritis Project.MethodsWork industry and occupational tasks for the longest job held were collected from participants. At follow-up ranging from 4–10 years later, participants were asked about shoulder symptoms (pain, aching, or stiffness occurring most days of 1 month in the last year) and given a 9-item, modified Disabilities Arm Shoulder and Hand (DASH) questionnaire to categorize disability from 0–4 (none-worst). Logistic regression and cumulative logit regression models were used to estimate associations with prevalent shoulder symptoms and with worse disability category, respectively. Models were adjusted for cohort, age, sex, race, education and time to follow-up. Sex- and race-stratified associations were evaluated.ResultsAmong 1560 included participants, mean age was 62 years (standard deviation ± 9 years); 32% were men, and 31% were Black. Compared to the managerial/professional industry, higher odds of both shoulder symptoms and worse upper extremity disability were seen for most industrial groups with physically demanding jobs, particularly the service industry. Work that often or always required lifting/moving > 10 lbs. was associated with higher odds of shoulder symptoms. Work that sometimes or always required heavy work while standing was associated with higher odds of shoulder symptoms, and this association was stronger among men and White workers.ConclusionPhysically demanding occupations were associated with increased occurrence of shoulder pain and disability. Mitigating specific physical work demands may reduce shoulder-related disability.

Effects of Large-Scale Agricultural Land Investment on Local Communities Livelihoods: Evidence from Bambasi Woreda, Western Ethiopia

Most of the African countries including Ethiopia are often known by problem of large scale agricultural land investment effects on the local community where land is being transferred to investment. Even though several efforts made so far to solve the overall effects of large scale agricultural land investment situation, the challenge is still widespread problem in Ethiopia. Hence the study project's purpose was to find out how large agricultural investments in Bambasi Woreda, Western Ethiopia impact the livelihoods of the surrounding populations and examine the local communities' participation in the large scale agricultural investment. In order to attain these objectives, data were collected from 330 randomly selected households in four purposively selected kebeles of the district for both control groups and treatment groups. The sample size was chosen using a multistage stratified random sampling technique. Both qualitative and quantitative data gathering techniques and instruments were employed in the study. Besides, the instruments utilized to collect the data were observations, focus groups, interviews, household surveys, and document reviews. Data was analyzed using both descriptive statistics and econometric methods. The study shows that out of the total sampled respondents 30 of the treatment group and 13 percent of control group reveal that the project provided opportunity in terms of employment opportunity, technology transfer, utilization of agricultural inputs, changing the working culture of the community and productivity. The chie square value shows there is statistical significance among treated and control group on opportunity investment provided for the household and community. A binary logit regression model was used to describe how large-scale agriculture land investment affected the local community's standard of living. The findings indicated that only six variables were found to be significant out of the characteristics that were expected to influence local community employment in large-scale agricultural land investment projects. These includes household's educational accomplishment, size of HH, occupation of HH, Loss of useful land due to investment Project and technology transfer significantly and positively affected the employment opportunity in large scale agricultural investment projects, whereas the distance of a household's home from an investment project has a negative impact. Large-scale agricultural investments have a detrimental influence on household wealth accumulation and income, according to the estimation results of the average treatment effects on the treated. The management and implementation of land transfer for large-scale agricultural investment projects is inadequate, lack of openness, absence of community consultation, natural forest degradation, socio-economic and ecological effects must be carefully considered before transferring the land for large-scale agricultural investment.

USAID Democracy Promotion as a Possible Predictor of Revolutionary Destabilization

Abstract USAID democracy promotion programs might not only influence the democracy levels, but also increase the likelihood of revolutionary uprisings in the recipient states. Democracy promotion can strengthen political opponents of the incumbent regime via support for alternative media, civil society groups and political parties, on one hand, and, on the other, support democratic institutions that in contrast to autocracies are more tolerable towards political opponents and thus allow more room for expressing political will on the streets. Since democracy aid targets “democrats” who are less prone to exert armed violence, the authors expect it to be associated with unarmed uprisings. Using logit regression models, they find that the volume of the USAID financial democracy assistance appears to be a significant predictor of unarmed revolutionary destabilization, but its effect is relatively weak. Some particular sub-sectors of democracy assistance have an impact on revolutionary destabilization, namely: civil society, elections, human rights and media assistance. These correlations might be partly explained by the fact that USAID assistance goes disproportionately to anocracies. This aid tends to increase the probability of revolutionary destabilization in two ways – directly (through strengthening political opponents of the regime) and indirectly (through increasing the number of anocracies in the world).

Modeling tropical tuna shifts: An inflated power logit regression approach.

We introduce a new class of zero-or-one inflated power logit (IPL) regression models, which serve as a versatile tool for analyzing bounded continuous data with observations at a boundary. These models are applied to explore the effects of climate changes on the distribution of tropical tuna within the North Atlantic Ocean. Our findings suggest that our modeling approach is adequate and capable of handling the outliers in the data. It exhibited superior performance compared to rival models in both diagnostic analysis and regarding the inference robustness. We offer a user-friendly method for fitting IPL regression models in practicalapplications.

Determinants of farmers’ willingness to pay for irrigation improvements in Northcentral Ethiopia

Investing in agricultural water management by improving irrigation schemes helps to establish climate-resilient and sustainable agri-food systems, thus contributing to sustainable poverty reduction. The purpose of this study was to identify the determinants of farmers’ willingness to pay (WTP) for irrigation water improvements in Northcentral Ethiopia. Primary data collected from a random sample of 132 households were analyzed using the double-bounded contingent valuation method and binary logit regression model to identify what determines farmers’ WTP for irrigation improvement. The findings show that farmers’ mean WTP for irrigation water improvements is 141.60 Birr/ha/year (2.50 USD/ha/year). The results of bivariate Probit model revealed that crop type, education, relative location to the irrigation scheme, irrigated plot size, and perceived drought risk statistically and positively determine farmers’ WTP for irrigation water improvement. These findings offer valuable policy implications on how best to guide practical agricaltural water management. Policy interventions aimed at enhancing farmers' behavior, awareness, and perception of drought-related issues, while also promoting cash crop production, are likely to drive more farmers towards a positive WTP for irrigation water improvement.

Abstract PO2-01-09: Patient preferences for CDK4/6 inhibitor treatments in HR+/HER2− early breast cancer: a discrete choice survey study

Abstract Background: Patients (pts) with stage II/III HR+/HER2− early breast cancer (EBC) are at risk of recurrence that persists over years. The addition of a CDK4/6 inhibitor (CDK4/6i) to adjuvant endocrine therapy (ET) was investigated in monarchE, evaluating abemaciclib (ABE) in lymph node (LN)+ high-risk pts, and NATALEE, using ribociclib (RIB) in stage II/III disease, including pts with N0 disease. ABE was FDA approved in this indication in 2021, while NATALEE recently reported statistically significant iDFS results. Both efficacy and tolerability are relevant for pts treated in a curative setting. This prospective study evaluated the extent pts with EBC value different treatment (tx) attributes and how these may translate into preferences between the two CDK4/6i in the US. Methods: A web-based discrete choice experiment survey was conducted among pts with EBC between Jan and May 2023 before NATALEE results were available. Eligible pts were adult women in a US clinical practice setting with self-reported stage II/III HR+/HER2− EBC +/- prior chemotherapy receiving only adjuvant ET at the time of survey, who completed curative surgery 1-3 years ago. Pts selected the scenario that best reflected their preferences from a series of choice cards, each displaying a pair of hypothetical tx profiles. A total of 8 attributes related to efficacy (5-year iDFS), adverse events (AEs), monitoring requirements, tx duration, and schedule were included (Table 1). Attributes were included based on an initial pilot qualitative assessment that selected efficacy and safety attributes most relevant to pts, clinical input, and differentiating features between CDK4/6i. A conditional logit regression model was used to estimate preference weights and relative importance (RI) of each attribute. Utility scores, summarizing overall preference for CDK4/6i tx profiles, were estimated from the model, and various scenarios were tested. Subgroup analyses by menopausal status and BC stage will be presented. Results: 409 pts participated in the survey (median age, 53 years; White/Black/other race, 59%/23%/18%; BC stage II/III, 48%/52%; employed, 38%). Pt preferences for attributes that significantly impacted tx decision, in order of high to low RI, were higher efficacy (iDFS), lower risk of diarrhea, lower risk of fatigue, shorter tx duration, and lower risk of venous thromboembolic events. Attributes based on monitoring or schedule, including number of blood tests, number of EKGs, and tx schedule, did not affect tx choice (Table 2). Overall utility scores were consistently higher for reconstructed tx profiles that resembled RIB features, including under conservative scenarios where efficacy of RIB was assumed to be equivalent or lower than that of ABE. Conclusions: This study showed that, driven by strong preference for lower risk of AEs, pts with HR+/HER2− EBC prefer tx profiles that more closely resemble the clinical experience of receiving RIB. These pt preferences are important for shared decision making when discussing the addition of a CDK4/6i to adjuvant tx for eligible pts with HR+/HER2− EBC. Discrete Choice Experiment Attributes and Levels Estimated Preference Weight and Relative Importance Citation Format: Erica Mayer, Mary Lou Smith, Annie Guerin, Dominick Latremouille-Viau, Nisha C. Hazra, Yan Meng, Wendi Qu, Remi Bellefleur, Vaidyanathan Ganapathy, Liz Santarsiero, Robert Morlock, Maryam Lustberg. Patient preferences for CDK4/6 inhibitor treatments in HR+/HER2− early breast cancer: a discrete choice survey study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-01-09.

Spending points during crises: Adaptive behavior on E-loyalty programs

This study investigates the impact of macro-level dynamics, such as the COVID-19 pandemic, on customer point-usage behavior in e-commerce, focusing on how global crises alter consumer spending and loyalty program engagement. Using big data from SPK, an F&B holding company, and employing binary logit and panel regression models, this study highlights significant shifts in post-pandemic customer behavior. The findings reveal that both customers with low and high usage levels decreased their spending, transaction frequency, and point accumulation. However, the former showed an increased propensity to use points for purchases, with heightened redemption rates and average points used per transaction, whereas the latter exhibited a decline in these areas. These results underscore the importance of understanding customer-specific responses to economic crises for designing effective loyalty program strategies in e-commerce, and offer valuable insights for the development of promotional strategies and theories in this domain.

Profitability in rural restaurants and owners' motivation to agritourism: A case from Nepal

AbstractRural Restaurants (RR) are located in rural areas primarily to serve the owner's business interests. However, they also play a crucial role in providing economic opportunities for rural communities and are regarded as a center for rural economy. Rural areas often face challenges such as depopulation due to limited access to public services, inadequate infrastructure, geographical remoteness, economic hardships, educational barriers, and other factors. Thus, this study aims to investigate the profitability of RRs and owners' motivations for agritourism development, as profitability and business expansion are typically positively correlated. Data from 105 samples collected in rural Nepal in 2022 and 2023 were analyzed using Tobit and Ordered Logit regression models, respectively. The study conceptualizes and confirms various contributors to RR profitability, including factors related to the supply side, demand appeal, and those influenced by pandemic‐related factors. Additionally, we explored how owners' motivations for agritourism are influenced by the restaurant's characteristics, quality‐related factors, and other attributes. Policymakers need to support RR owners in developing agritourism initiatives and contribute to quality control through effective enforcement of consumer laws by a responsible and robust quality control team.

Influence of education on the level of quality of young salaried employment in Metropolitan Lima, 2022.

The connection between education and job quality is a topic of growing interest for labor market dynamics, since low quality salaried jobs can limit the development of the potential capabilities of the young workforce and, with it, the opportunity to move up the social pyramid structure. The level of quality of salaried employment is a multidimensional phenomenon; to measure it, a synthetic index was constructed from the perspective of the working class, considering the characteristics of the job. The objective of this article is to analyze the influence of the level of education on the level of quality of employment of the young salaried population, according to the size of the company, in Metropolitan Lima in the year 2022, from Amartya Sen's theory of human capabilities. Regarding the methodology, we used data from the National Household Survey, information provided by the National Institute of Statistics and Informatics for the year 2022 . The final sample size was 3 552 observations. In addition, a partial proportional odds ordinal logit regression model with robust variance was fitted. Among the main results, it was obtained that salaried employment was mostly of low quality in Metropolitan Lima in the year 2022. In addition, it was verified that the size of the firm and the level of education have a direct relationship with the level of quality of salaried employment. (p<0.05). The study concludes that the level of education is a key factor in the level of quality of salaried employment, but its influence depends on other conversion factors (gender, poor) that the young labor force possesses and on the size of the firm.

Impacts of Direct Cash Assistance, Social Security Enrollment, and Employment Stability on the Welfare of Hand-Rolled Cigarette Workers in Central Java

This research investigates the relationship between Direct Cash Assistance (BLT) from the Tobacco Product Excise Profit Sharing Fund (DBHCHT), BPJS Employment, employment status, and the welfare of hand-rolled cigarette workers in Central Java, Indonesia. Given the significant shifts from manual to mechanized production in the tobacco industry, the study addresses the crucial aspect of worker welfare amidst these changes. The analysis focuses on four key areas: Pati, Kudus, Demak, and Jepara, utilizing data collected from 451 hand-rolled cigarette workers through structured interviews. The methodology involves an ordered logit regression model to evaluate how financial assistance, health and accident insurance coverage through BPJS Employment, and permanent versus contractual employment statuses impact the welfare of these workers, with welfare quantified in terms of income and asset ownership. The results indicate a positive correlation between the provision of BLT DBHCHT and improved welfare indices, highlighting the effectiveness of direct financial aid in enhancing living standards. Additionally, enrollment in BPJS Employment is significantly associated with better welfare outcomes, underscoring the importance of robust social security systems for protecting worker welfare. The study also finds that permanent employment contributes to higher welfare levels compared to contractual work, suggesting that job security plays a crucial role in promoting worker well-being. These findings underscore the necessity for targeted policy interventions aimed at improving socio-economic conditions for laborers within Indonesia's tobacco sector. They also advocate for an expanded scope of welfare indicators in future studies to include more comprehensive assessments of worker well-being, incorporating health, educational attainments, and psychosocial factors.

Effect of social capital on enrolment of informal sector occupational groups in the national health insurance scheme in Ghana: a cross-sectional survey

BackgroundEnrolment of informal sector workers in Ghana’s National Health Insurance Scheme (NHIS) is critical to achieving increased risk-pooling and attainment of Universal Health Coverage. However, the NHIS has struggled over the years to improve enrolment of this subpopulation. This study analysed effect of social capital on enrolment of informal sector workers in the NHIS.MethodsA cross-sectional survey was conducted among 528 members of hairdressers and beauticians, farmers, and commercial road transport drivers’ groups. Descriptive statistics, principal component analysis, and multinomial logit regression model were used to analyse the data.ResultsSocial capital including membership in occupational group, trust, and collective action were significantly associated with enrolment in the NHIS, overall. Other factors such as household size, education, ethnicity, and usual source of health care were, however, correlated with both enrolment and dropout. Notwithstanding these factors, the chance of enrolling in the NHIS and staying active was 44.6% higher for the hairdressers and beauticians; the probability of dropping out of the scheme was 62.9% higher for the farmers; and the chance of never enrolling in the scheme was 22.3% higher for the commercial road transport drivers.ConclusionsSocial capital particularly collective action and predominantly female occupational groups are key determinants of informal sector workers’ participation in the NHIS. Policy interventions to improve enrolment of this subpopulation should consider group enrolment, targeting female dominated informal sector occupational groups. Further studies should consider inclusion of mediating and moderating variables to provide a clearer picture of the relationship between occupational group social capital and enrolment in health insurance schemes.

The Effect of Financial Innovation on the Financial Performance of Financial Institutions in Cameroon

Purpose: The study sought to investigate the effect of financial innovations on financial performance of depository financial institutions in Cameroon. The specif objectives of the study were to examine the effect of product, process and institutional innovation on the financial performance of financial institutions Methodology: The study adopted a cross sectional research design. Purposive and convenience sampling methods were used to select 210 respondents from 75 financial institutions in Cameroon. Primary data was collected using a self-administered questionnaire. Data collected was sorted, coded and analyzed using the Statistical Package for Social Sciences (SPSS v22.0). Data collected was analysed descriptively with the use of mean and inferentially with the use of ordered logit regression model and Pearson correlation metrix to establish the relationship between the dependent variable and the independent variables and the results were presented in tables. Findings: The findings show that increased financial innovation through process and institutional innovation can increase financial performances. For the basic regression used to find banks’ performance, the analysis indicates that process and product innovation, measured by the ATM, POS, mobile banking and credit card, significantly influences financial performance of financial institutions. Although there is no significant effect of institutional innovation on financial performance, there is still a positive effect. Unique Contribution to Theory, Policy and Practice: The study therefore recommended that further study can be carried out on the effect of financial innovation on performance of depository financial institutions using different methods. In addition, depository financial institutions should transform banking service by adapting to process innovation so as to increase access to financial services.