Multivariate Probit Regression Research Articles

Evaluation of the determinants of honey producers' market outlet choices in Huye District, Southern Province of Rwanda

Beekeeping is a profitable and socially beneficial farming business among Sub-Saharan Africa’s rural forest-based communities. Honey production, which is crucial for farm household health and nutrition in Rwanda’s forest-based rural communities, is growing significantly. However, various factors influence farm household heads’ decisions regarding the best outlets for delivering honey to the nearest market. It is vital to identify these factors to optimize honey production and marketing activities. Hence, this research was conducted in Rwanda’s Southern province, where agriculture and forestry are the primary economic activities to identify the potential factors. Using a cross-sectional approach, with primary data collected over a specific period, the economic data of honey producers were analyzed using STATA version 16. In total, 152 respondents were sampled using multi-stage sampling technique. A multivariate probit regression was used to assess the determinants of market outlet choices for honey producers. The results showed that education level, distance to market, training and credit access, extension service, market information, farming experience, time spent on honey collection, quantity sold, communication, and transport cost significantly influenced honey producers' market outlet choices. To increase profits, honey producers should increase honey collection time and sales, improve client communication, form cooperatives, and negotiate better prices with potential buyers. Driving personal vehicles can also reduce transportation costs. The government and industry stakeholders can support producers by offering credit loans, market information, extension services, marketing infrastructure, and adult education. To improve honey marketing channels, industry connections should be strengthened, and capacity-building training provided to raise producer awareness.

Reduction in perforated appendicitis incidence between rural and urban populations after introducing social health insurance in Vietnam: A population-based study.

Over the years, Vietnam has expanded its social health insurance (SHI) coverage to reduce health disparities. In this population-based study, we examined the differences in incidences of perforated appendix between rural and urban populations in Vietnam since the expansion of SHI coverage in 2015. We also identified risk factors for perforated appendix in these populations. The 2015-2019 SHI inpatient claims data from the Social Security Agency of Dong Thap Province were used to elaborate the final sample of 6863 patients aged 18years or above who underwent an appendectomy. Multivariable probit and logistic regression model were employed to obtain adjusted estimates. An overall rate of 22.9% for perforated appendix among adults in Dong Thap was revealed. After the expansion of SHI, rural residents consistently had lower rates of perforated appendix than urban residents, but the differences between rural and urban residents were small and decreased over time, that is from 4.4% in 2015 to 3.4% in 2019. Older, male, and poor residents were at a higher risk of perforated appendix in both urban and rural areas. In rural areas, patients with comorbidities, patients who resided in remote communes bordering Cambodia, and patients who had district hospitals or commune facilities as their primary assigned providers were significantly more likely to develop perforated appendix. Under the SHI in Vietnam, no significant difference was observed in perforated appendicitis incidence between urban and rural residents. Additional efforts are required to reduce poorer outcomes among other high-risk residents.

Exploring Patterns and Disparities in E-Consult Referrals: An Analysis of Patient and Community Factors in Colorado Health Care.

Objective: Electronic consultations (e-consults) provide a strategic solution to address challenges in health care systems related to cost management and access to care. This study aims to investigate the multilevel patient characteristics associated with higher frequency of receiving e-consults and increased likelihood of completion. Materials and Methods: University of Colorado's electronic medical record were analyzed to study factors influencing referral types (e-consult vs. standard) and their completion rates from April 2018 to September 2023. Multivariate probit regression assessed the impact of patient-level and community-level factors (urban-rural classification, Social Vulnerability Index, and technology accessibility) on e-consult referrals and completion. Results: In 263,882 records, 92.5% were standard referrals, and 7.4% were e-consult referrals. Analysis showed that females were less likely than males (OR = 0.95, 95%CI[0.93, 0.96]), and Blacks were more likely than Whites (OR = 1.03, 95%CI[1.01,1.06]) to receive e-consult referrals. Medicaid patients had lower odds compared to those with Medicare only (OR = 1.04, 95%CI[1.00,1.07]), and rural residency was associated with lower odds (OR = 0.80, 95%CI[0.73,0.88]) of e-consult referral. Factors such as areas with higher population without internet subscription (OR = 1.03, 95%CI[1.01,1.04]) and higher social vulnerabilities (OR = 1.26, 95%CI[1.16,1.37]) increased e-consult odds. Black patients were less likely to have their referrals completed compared to Whites. Patients who resided in regions with limited computer and smartphone access, as well as higher social vulnerabilities, showed decreased odds of referral completion. Discussions and Conclusion: This study highlights the need for partnering with a variety of health care organizations, especially those serving low-income and disadvantaged populations, to enhance health care access equity through the use of e-consults.

Factors affecting usage of digital advisory tools and services by vegetable farmers in Nepal

It is evident that several factors condition the usage of Digital advisory tools and services (DATS) namely the internet, mobile phone, TV, radio, social media in the agricultural sector. The core, socio-economic factors and regional differences in technology adoption are being addressed. With the use of a multistage purposive sampling technique the study was steered to assess factors affecting the DATS use in Lumbini province. Using survey research design and administering pre-tested semi-structured interview schedule; 135 samples were randomly selected from Rupandehi (Terai), Palpa (Midhill) and Rukum East (Mountain) districts. The data were analyzed using multivariate probit regression model along with apt scaling and indexing techniques. The findings reveal that the tool’s performance expectancy, the ease of use and relevance to user needs were the core factors while age, education level, experience, group membership and geographical variation were influencing factors shaping farmers’ behavior for choosing different information sources. The results indicate that vegetable farmers rely on a variety of information resources which can be grouped under locality, cosmopolite, traditional and modern DATS. These sources either complement or substitute one another. This implies that no single source fully satisfies all of a farmer's information needs. If information providers get abreast of how likely it is that farmers will choose any particular source of information, they can guide efforts and shape policies to communicate via those channels in specific areas, generating higher impact. In light of the findings, the study accentuates the need for policy reforms to boost information sources that are tailored to specific regional and socio-economic profile of farmers.

Small but innovative: Unveiling the impact of micro-entrepreneurs' personality traits on a spectrum of innovations

This article investigates whether a micro-entrepreneur's personality influences their innovativeness. Using the Big Five theory and a broad definition of innovation from the 4th version of the Oslo Manual (two types and nine categories of innovations in total), the study analyses data from 1,848 Polish micro-entrepreneurs. Since innovativeness is a complex process with several interdependencies, and previous research shows that introducing one type of innovation is not independent of introducing other types, Multivariate Probit (MVP) regression was used to estimate the models. The results allow two conclusions to be drawn. Firstly, in the case of product innovations implemented by micro-entrepreneurs, three personality traits have a positive impact. These are Openness to experience, Conscientiousness and Extroversion. Secondly, in the case of business process innovations, all 7 types are positively influenced by two personality traits, namely Openness to experience and Extroversion.

Awareness and adoption of climate-resilient practices by smallholder farmers in central and upper Eastern Kenya

Climate change and soil fertility decline are major hurdles to agricultural ecosystems. Despite the importance of climate-resilient practices (CRPs) in enhancing food security, poverty alleviation and nutritional security, awareness and adoption remain low in most developing countries, including Kenya. We assessed the determinants of simultaneous awareness and adoption of CRPs and their intensity in Central Highlands of Kenya. The CRPs considered in this study were inorganic fertilizer and manure integration, manure, mulching, crop residues, cover crop, crop rotation and intercrop. The study used a cross-sectional survey design and collected data from 400 smallholders in Central Highlands of Kenya. The data were analyzed using descriptive statistics, multivariate probit and Poisson regression. Our findings showed that awareness and adoption of specific CRPs and their intensity were determined by occupation, age, farming experience, household size, soil fertility management, climate change adaptation, agricultural training, and geographical location. Smallholders’ agricultural training was an important determinant of awareness, adoption level, and intensity. Our findings underscored the need for agricultural policymakers and extension systems to design farmer-driven training programs for enhanced awareness and adoption of CRPs.

Climate change vulnerability and adaptive capacity of smallholder farmers: A financing gap perspective

With climate change continuously threatening global food production, smallholder farmers are increasingly struggling to adapt to changing climatic conditions, decreasing productivity, and limited access to finance. To examine these challenges, this study used cross-sectional data collected through a multi-stage approach across three plantain-producing states in southwest Nigeria, with 100 farmers randomly selected in 5 local government areas per state to give a total of 300 farmers. A two-step Stochastic Frontier model is used to examine the relationship between climate adaptation strategies and plantain productivity while the Harold-Dorma growth equation and Multivariate Probit regression are used to assess the financing gap and its effect on adaptive capacity. Finally, the Foster Geer-Thorbecke (FGT) equation is used to measure the vulnerability of farmers to climate change. Findings show that as the financing gap of the farmers decreases, their ability to adopt climate adaptation strategies to enhance their productivity increases. However, 80% of the farmers are financially vulnerable to climate change, with 37% facing severe financial constraints. The vulnerability depth for the farmers is 56%, indicating that with $106.55 (56% of the vulnerability line of $190.26), many farmers' adaptive capacity could be enhanced to reduce their vulnerability below the vulnerability line. This study's approach provides a comprehensive approach for assessing smallholder farmers' ability to adopt adaptation strategies that increase productivity and enhance resilience. While other policy measures to enhance smallholder farmers' ability to address the challenges of climate change are important, it is crucial to prioritise actions that improve the financial status of smallholders.

Impact of out-of-home care on children’s outcomes: A longitudinal cohort study using linked administrative data from Manitoba, Canada

ObjectiveTo provide rigorous quantitative evidence about the impact of out-of-home care on children’s outcomes. ApproachGuided by an Advisory Circle of First Nations (FN) Knowledge Keepers and conducted in partnership with FN researchers, we used linked administrative data to identify all Manitoba children served by Child Protection Services (CPS) at FN agencies (FNA) and other agencies (OA) (2007-2018). We compared health, education, and legal system outcomes of those in care (FNA n=10,856; OA n=8,468) to those with protection concerns but not in care (FNA n=12,896; OA n=14,394). Using instrumental variable analysis with CPS agency rate of out-of-home care as the instrument, outcomes between groups were compared using 2-stage multivariate probit regressions adjusted for child and family factors. ResultsOdds of teen pregnancy (FNA OR 3.69, 95% CI 1.40-9.77; OA 5.10 (1.83-14.25)), teen birth (FNA 3.23 (1.10-9.49); OA 5.06 (1.70-15.03)), and positive STI tests (FNA ns; OA 7.21 (3.63-14.32)) were higher and odds of vaccination at age 2 (FNA ns; OA 0.49 (0.29-0.80)) were lower for children in care than children not in care. Odds of being accused (FNA ns; OA 2.71 (1.27-5.75)), victim (FNA ns; OA 1.68 (1.10-2.56)), or charged with a crime (FNA ns; OA 2.68 (1.21-5.96)), and odds of being incarcerated (FNA 3.64 (1.95-6.80); OA 1.19 (1.19-8.04)) were higher for children in care. ConclusionsOut-of-home care negatively affects children’s health, social and legal system outcomes. ImplicationsCPS agencies should work with FN leaders to develop and implement strategies to reduce the number of children taken into care.

Cognitive functioning and sustained internet use amid the COVID-19 pandemic: longitudinal evidence from older adults in Switzerland

This study aimed to investigate the relationship between pre-pandemic objective and subjective cognitive functioning and sustained Internet use during the pandemic among older adults in Switzerland. Data from 1299 respondents of the Survey of Health, Ageing and Retirement in Europe (SHARE) in 2019/2020 and a supplementary technology use questionnaire during the pandemic in 2021 were used. Cognitive functioning was assessed in 2019/2020 through objective measures (delayed and immediate memory, verbal fluency) and self-rated memory. Sustained Internet use was defined as having used the Internet at least once in the past seven days in 2019/2020 and reporting daily or weekly use in 2021. We found that 73.1% of respondents consistently used Internet between 2019/2020 and 2021. Using multivariable probit regression models controlling for sociodemographic and health variables, we found that higher global cognition z-scores, especially in immediate and delayed memory, were associated with a higher likelihood of sustained Internet use. Additionally, respondents with good, very good, or excellent self-rated memory were more likely to sustain their Internet use. These findings highlight the potential critical role of cognitive health in shaping older adults’ digital engagement, suggesting that cognitive assessments and training should be further considered in digital literacy initiatives for this population.

Pineapple-based agroforestry in Bangladesh: Determinants of market choice and quantity of supply decision

Agroforestry is a land-use system integrating trees, crops, and sometimes livestock, offering a promising solution for both environment and agricultural resilience. The primary objectives of the study were to examine the determinants of market choice and quantity of market supply of pineapple in the agroforestry system in the Sal-forest under Tangail district in Bangladesh. Data were collected by using stratified randomly selected 200 pineapple farmers of Madhupur sub-district in Bangladesh and conducted 15 Focus Group Discussions (FGDs) and 2 In-depth Interviews (IDIs). The study employed a multivariate probit model and multivariate linear regression. The pineapple farmers simultaneously selected 3 markets to maximize their profit: local market, district market and central market. Small and medium farmers are more likely to sell their products in local markets, and large farms are more likely to sell products in central and district markets. Multivariate probit regression analysis showed that training, farm size, and farmer ambition negatively influence local market selection by farmers. Ethnicity, training, experience, farm size, and knowledge of quality requirements had a positive influence on district market selection. Investment in production and uncertainty in buyers’ stability had a negative influence on central market selection. Multivariate linear regression analysis indicated that the age of respondents, total production, and association involvement positively impacted quantity of supply in the local market. Training, total production, and farmers’ ambition positively impacted district market supply. Farm size and average price of the pineapple positively impacted the quantity supply in the central market. The district and central markets offered better returns although several obstacles limited pineapple producers’ access to these markets. The uncertainty of buyers in accessing the central market (more profitable markets) needs to be addressed by stakeholders to encourage more agroforestry pineapple-based producers to select the right markets.

Achieving food security: Household perception and adoption of home gardening techniques in Ghana

As global food crises and high food prices continue to impact communities, there is a growing focus on strengthening local food systems and improving livelihoods. Home gardening techniques have gained renewed attention as a means of food production and enhancing household food security. However, there is a lack of empirical studies on the perception and adoption of home gardening techniques. This study therefore fills this gap by examining the perception and adoption of home gardening techniques among households in Ghana. A multistage sampling technique was used to select 348 households and data was collected through a structured questionnaire. Using a 5-point Likert scale, we analyzed the households' perception of home gardening techniques, and utilized a multivariate probit regression model to examine the factors influencing multiple adoption of home gardening techniques. The Kendall’s coefficient of concordance was used to test the level of agreement among ranked constraints in adopting home gardening techniques. The generalized Poisson regression was used to examine the number of adoption of home gardening techniques. The results revealed that most households perceived home gardening techniques as a way to improve household food security. Households were found to adopt multiple home gardening techniques, such as use of pots, sacks, and tires. Empirically, factors such as sex, education, occupation, income, technology cost, and social network had a significant influence on multiple adoption of home gardening techniques. Also, age, education, household size, income, technology cost, social network, inadequate space and insect and disease damages significantly influenced the number of adoptions of home gardening techniques. Furthermore, lack of time and inadequate space were the main constraints limiting the adoption of these techniques. We suggest government interventions to spur the adoption of home gardening techniques to improve household food nutrition.

Traumatic Cervical Spinal Cord Injury and Income and Employment Status

Spinal cord injury (SCI) causes drastic changes to an individual's physical health that may be associated with the ability to work. To estimate the association of SCI with individual earnings and employment status using national administrative health databases linked to income tax data. This was a retrospective, national, population-based cohort study of adults who were hospitalized with cervical SCI in Canada between January 2005 and December 2017. All acute care hospitalizations for SCI of adults ages 18 to 64 years were included. A comparison group was constructed by sampling from individuals in the injured cohort. Fiscal information from their preinjury years was used for comparison. The injured cohort was matched with the comparison group based on age, sex, marital status, province of residence, self-employment status, earnings, and employment status in the year prior to injury. Data were analyzed from August 2022 to January 2023. The first outcome was the change in individual annual earnings up to 5 years after injury. The change in mean yearly earnings was assessed using a linear mixed-effects differences-in-differences regression. Income values are reported in 2022 Canadian dollars (CAD $1.00 = US $0.73). The second outcome was the change in employment status up to 5 years after injury. A multivariable probit regression model was used to compare proportions of individuals employed among those who had experienced SCI and the paired comparison group of participants. A total of 1630 patients with SCI (mean [SD] age, 47 [13] years; 1304 male [80.0%]) were matched to patients in a preinjury comparison group (resampled from the same 1630 patients in the SCI group). The mean (SD) of preinjury wage earnings was CAD $46 000 ($48 252). The annual decline in individual earnings was CAD $20 275 (95% CI, -$24 455 to -$16 095) in the first year after injury and CAD $20 348 (95% CI, -$24 710 to -$15 985) in the fifth year after injury. At 5 years after injury, 52% of individuals who had an injury were working compared with 79% individuals in the preinjury comparison group. SCI survivors had a decrease in employment of 17.1 percentage points (95% CI, 14.5 to 19.7 percentage points) in the first year after injury and 17.8 percentage points (14.5 to 21.1 percentage points) in the fifth year after injury. In this study, SCI was associated with a decline in earnings and employment up to 5 years after injury for adults aged 18 to 64 years in Canada.

Improved nursery practices and farmers’ willingness to adopt heat-tolerant tomatoes under tropical conditions

Heat-tolerant tomato (Solanum lycopersicum L) can be used to alleviate the impact of climate variability, increase productivity, and increase income of smallholder vegetable farmers under tropical conditions. Adoption of improved nursery practices and willingness to adopt heat-tolerant tomato varieties under tropical conditions was examined. Using data from 432 tomato farmers, multivariate probit and tobit regression models were used to assess willingness to adopt heat-tolerant varieties and number of nursery practices. Willingness to adopt heat-tolerant tomato varieties was positively influenced by education, experience, and extension contacts. Adoption of improved nursery practices was influenced by sex, household size, off-farm income, credit, education and extension. These results will enable decision-makers to prioritize strategies that target educated farmers with more years of experience in tomato production and have contacts with extension to enhance the adoption of heat-tolerant tomato seeds with complementary improved nursery practices to increase productivity and income of smallholder tomato farmers under tropical conditions.

Smallholder Farmers' Use of Indigenous Knowledge Practices in Agri-food Systems: Contribution of Food Security Attainment Drive

Most of the world's poor, including those in Nigeria, live in rural and agrarian settings and are engaged in agricultural practices for sustenance. Meanwhile, increasing agricultural productivity requires the adoption of modern technologies and improved farming systems, which entail considerable cost outlays for initial adoption and continued use. These costs may be out of reach for resource-poor smallholder farmers, hence the need to embrace indigenous knowledge practices (IKPs) in an agrarian economy such as Nigeria. This research examined the contribution of farmers' food security attainment efforts through the use of IKPs. Drawing on a documentary review of literature and empirical evidence, as well as data collected from 349 randomly selected smallholder farmers, the study applied descriptive statistics, a standardized food insecurity experience scale survey module, and a multivariate probit regression model to analyze the dataset. The findings revealed that almost 86% of the farmers have a strong and positive perception of the effectiveness of IKPs on agricultural production, while approximately 90% of the farmers are food insecure (those in the chronic and moderate food insecurity categories). The results also indicated that farmers’ food security status, household size vis-à-vis dependency ratio, awareness of IKPs, age of the farmers, years of farming experience, access to extension services, and frequency of visits by extension personnel significantly influenced farmers’ use of traditional farming practices, crop selection/rotation strategies, and water management techniques in the study area. Despite the farmers' use of IKPs, most of them are still largely food insecure, which raises serious concerns. Given this, the study recommends a multi-stakeholder partnership to foster synergies between the use of indigenous knowledge and modern scientific approaches by farmers, harnessing the complementary strengths of both knowledge systems to address the contemporary challenges faced by smallholder farmers in the agri-food systems.

Determinants of Marketing Channels Choices: Evidence from Vegetable Farmers in the Eastern Cape Province of South Africa

Vegetable farmers are faced with computational and informational restrictions when making marketing decisions. Fresh produce markets in South Africa lack an efficient approach to supply chain management, from the farmers to the consumers. Improving market access can incentivise smallholder farmers to scale up their production. The present paper investigates factors influencing smallholder vegetable farmers' choice of market channels in the Eastern Cape Province of South Africa. A structured questionnaire and a multi-stage sampling technique were used to select 149 vegetable farmers. Multivariate probit regression and descriptive statistics were used for analysis. The results show that most sampled vegetable farmers in the study area sell their vegetable produce to traditional, wholesale, and retail outlets compared to other outlets. The study found that vegetable farmers can substitute one market with the other. Various socio-economic characteristics, transaction costs, asset ownership, membership of farm organisations, and access to extension services influence the selection choice. The study recommends intensive education and training to capacitate smallholder farmers through extension officers and farm organisations to enable farmers to understand and meet the requirements of high-value markets.

Rural households' livelihood adaptation strategies in the face of changing climate: A case study from Pakistan

Rural and agricultural communities' adaptation to climate change has gained significant attention owing to many countries' vulnerability to climate change risks. A similar trend has been witnessed in South Asia, a highly climate-vulnerable region, where research has grown dramatically considering the agriculture sector's vulnerability to climate-induced disasters. However, little attention has been paid to the adaptation of the livelihoods of rural households. This research, therefore, takes the case of Pakistan to explore livelihood adaptation strategies of rural households to climate change and investigate the factors that expedite or halt the adoption of livelihood diversification strategies. A multistage sampling design is used in this research, where 480 rural households from the Punjab province of Pakistan were selected and interviewed using stratified and random sampling approaches. A multivariate probit (MVP) regression model is employed to analyze the factors affecting households' adoption of livelihood adaptation strategies. The results show that besides adaptation of agronomic operations (agricultural adaptation strategies), rural households in the study area employed a wide range of strategies to adapt their livelihoods to climate change. These strategies include poultry and livestock farming, value addition of farm produce, trading of animals and farm commodities, small businesses (shops, etc.), daily wage labor, horticultural crop farming, and non-farming jobs. The estimates of the MVP model revealed that respondents' education, household size, income, access to a credit facility, access to farm advisory services, and access to climate forecasts have significantly influenced the choice of livelihood adaptation strategies. Based on these findings, this research recommends that the authorities should make efforts to improve farmers' understanding of the adaptation of climate change risks and educate them to adopt multiple livelihood options to improve the resilience of their livelihoods to climate-induced risks. This research has important policy implications for other countries with similar socio-economic features.

Overestimation of Survival Rates of Cardiopulmonary Resuscitation Is Associated with Higher Preferences to Be Resuscitated: Evidence from a National Survey of Older Adults in Switzerland.

Many widely used advance directives templates include direct questions on individuals' preferences for cardiopulmonary resuscitation (CPR) in case of decision-making incapacity during medical emergencies. However, as knowledge of the survival rates of CPR is often limited, individuals' advance decisions on CPR may be poorly aligned with their preferences if false beliefs about the survival rates of CPR shape stated preferences for CPR. We analyzed nationally representative data from 1,469 adults aged 58+ y who responded to wave 8 (2019/2020) of the Swiss version of the Survey on Health, Ageing, and Retirement in Europe (SHARE) to assess the partial association between knowledge of CPR survival rates and stated preferences for CPR using multivariable probit regression models that adjust for social, health, and regional characteristics. Knowledge of CPR survival rates was assessed by asking how likely it is in general in Switzerland for a 70-y-old to survive until hospital discharge from a CPR performed outside of a hospital. Preferences for CPR were measured by asking respondents if they would wish to be resuscitated in case of cardiac arrest. Only 9.3% of respondents correctly assessed the chances for a 70-y-old to survive until hospital discharge from a CPR performed outside of a hospital, while 65.2% indicated a preference to be resuscitated in case of a cardiac arrest. Respondents who correctly assessed CPR survival were significantly more likely to wish not to be resuscitated (average marginal effect: 0.18, P < 0.001). Reducing misconceptions concerning the survival rates of CPR could change older adults' preferences for CPR and make them more likely to forgo such treatments. Many older adults in Switzerland overestimate the survival rates of cardiopulmonary resuscitation (CPR).The study reveals that individuals with accurate knowledge of CPR survival rates are more likely to refuse resuscitation in case of cardiac arrest.Overestimation of CPR survival rates may lead to a mismatch between individuals' preferences for CPR and their actual end-of-life care decisions.Improving the general population's knowledge of CPR survival rates is crucial to ensure informed decision making and effective advance care planning.

The farm succession effect on farmers’ management choices

It is acknowledged that the identification of a successor within the family farm can affect the farm development, which is conventionally referred to as the succession effect. This dynamic is of particular relevance in Europe, where fostering generational renewal towards increased farm modernization and innovation is on top of policy agenda. Yet, the succession effect on the farmers’ decision-making has been poorly substantiated with empirical and quantitative evidence, whereas the current policy framework mostly disregards this phenomenon. This paper aims to verify whether and to what extent the identification of a successor within the family farm affects the farmer’s strategic choices, and to identify which management strategies are privileged by farmers having identified a successor. Based on a cross-sectional dataset of 768 farms from across nine European countries, a control function model is employed to test the succession effect on the farmer’s decision-making, while parametric tests, odds analysis and multivariate probit regressions are applied to identify main strategies. The results confirm that the identification of a successor has a significant impact on farmers’ choices, leading to an average increase of about two additional strategies adopted, and that strategies like agricultural and non-agricultural diversification, cooperation and technology adoption are privileged by farmers having a successor. The paper discusses how the current policies could be improved to better leverage the succession effect, and identifies possible strategies.

Determinants and success of engagement in circular bioeconomy practices in African food systems

Ending hunger and ensuring sustainable food production and consumption patterns globally, as outlined in the United Nations 2030 agenda of sustainable development goals (SDGs), cannot be accomplished through a linear resource use model that has proven to be non-restorative and unsustainable. Therefore, a more sustainable model of resource use - the circular bioeconomy (CB) - has been proposed as an alternative to achieve circular, resilient, and sustainable food systems. This approach can help achieve strategic SDGs reliably. However, there is currently insufficient evidence regarding the factors that contribute successfully to the likelihood of engagement in CB practices, particularly in smallholder households in vulnerable global regions such as Africa. To address the breach, this study evaluated three pairs of CB practices, and multivariate probit regressions were applied to identify the factors that influence smallholders' engagement in CB practices. The study aimed to predict the probabilities of engagement among smallholders in the Democratic Republic of the Congo (DRC), Ethiopia, Rwanda, and South Africa. The results showed that sorting organic from inorganic waste and using organic waste as compost had a 31 % likelihood of contributing to successful engagement in CB practices while sorting waste and using organic waste as livestock feed contributed to such success by 17 %. Using organic waste as compost and livestock, feed had the lowest success rate of 11 %. Thus, CB innovations that promote combinations of CB practices among smallholders, particularly those that involve sorting waste and using organic waste as compost, have a higher chance of succeeding in achieving circular food systems.

Psychological Help-Seeking Status for Living with Mental Health Conditions in Türkiye: Using a Multivariate Probit Model.

Mental disorders constitute a significant public health concern, contributing significantly to the overall disease burden. Individuals experiencing mental distress often delay or avoid seeking psychological help or do not seek help due to varying factors. This study examines the factors affecting individuals' preferences, particularly young people, in seeking psychological help in Türkiye. This study utilized microdata from the Türkiye Health Survey conducted by TURKSTAT in 2016 and 2019. The factors influencing decisions to consult with a psychologist, psychotherapist, or psychiatrist were determined by multivariate probit regression analysis. The Türkiye Health Survey employed a stratified two-stage cluster sampling method, surveying 17,242 individuals over the age of 15 in 9470 households in 2016 and 17,084 individuals over the age of 15 in 9470 households in 2019. The analysis findings indicated that, in the entire sample, women are more likely to seek psychological help, while younger women are less likely to do so. In the entire sample, as the education level increased, the probability of individuals receiving psychological help increased, while it decreased for young people. It was determined that people who use tobacco and alcohol are more likely to receive psychological help than others. It was also determined that individuals who perceive their health status as good, especially those who are both young and perceive their health status as good, are less likely to seek psychological help. The significance and impact of the variables on the probability of individuals seeking psychological help vary for both the entire sample and young people. There may be various restrictions in getting psychological help, and people may resort to informal methods instead of professionals to cope with their existing problems. In developing preventive strategies to safeguard mental health, factors related to young people's and individuals' psychological help-seeking status should be prioritized, and more attention should be paid to them.