Determinants of adoption and intensity of improved haricot bean (Phaseolus vulgaris L.) varieties: A Socio-agronomic study from southern Ethiopia

Cholo, Machuene Sharlyn; Senapathy, Marisennayya; Bojago, Elias

doi:10.1016/j.jafr.2023.100656

Cited by 5 publications

(2 citation statements)

References 39 publications

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“…It is also known as a censored regression analysis. It is a type of regression technique that is used when the dependent variable is censored at one or more values (Cholo et al, 2023) [13] . The Tobit model is an extension of the linear regression model and is used to estimate the effects of explanatory variables on a censored response variable (Jiménez-Martín et al, 2023) [23] .…”

Section: Analytical Framework 21 Tobit Regression Modelmentioning

confidence: 99%

Analysis of the effect of climate-smart agricultural practices (CSAPs) on food security of maize production in Southeast, Nigeria

Chukwujekwu,

Chinwe,

Ejike

et al. 2024

IJMRGE

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This study examines the effect of Climate-Smart Agricultural Practices (CSAPs) on the food security dimensions of availability, accessibility, affordability, stability, and usability of maize production in Southeast Nigeria. A multi-stage random sampling method was adopted to select 375 farmers. Censored and OLS regression analyses were conducted using R software to analyze the data. Results indicate that certain CSAPs significantly influence the availability and accessibility dimensions of food security. Water management, residue management, mulching, crop rotation, adopting early planting, and obtaining credit were associated with higher levels of availability and accessibility, while practices like minimum tillage and improving access to information were associated with lower levels. Practices such as water management, minimum tillage, and adopting early planting positively influence affordability and stability. Furthermore, the study explores the influence of constraints on the practice of CSA in Southeast Nigeria. Farmers’ illiteracy (50.6)***, high production costs (4.00)***, lack of equipment and inputs, limited awareness of CSA practices (5.24)***, and resistance to change (13.70)*** were identified as key constraints. However, the study recommends that promoting awareness and incentivizing sustainable agricultural practices can encourage farmers to overcome resistance to change and embrace CSA initiatives, thus enhancing food security and economic development in Southeast Nigeria.

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Section: Analytical Framework 21 Tobit Regression Modelmentioning

confidence: 99%

Analysis of the effect of climate-smart agricultural practices (CSAPs) on food security of maize production in Southeast, Nigeria

Chukwujekwu,

Chinwe,

Ejike

et al. 2024

IJMRGE

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“…Therefore, it was more possible to find the use of waste as compost in crop farms. Access to land and other agricultural enabling infrastructures like credit, markets, and information exchange (mobile phone use) were essential for households to realize better returns from food systems [30,[42][43][44]. In this study, households reporting that salaries or casual labor were their main source of income, may not necessarily have their entire livelihood fully depend on salaries or casual labor.…”

Section: Plos Sustainability and Transformationmentioning

confidence: 99%

Circular bioeconomy practices and their associations with household food security in four RUNRES African city regions

Sekabira,

Feleke,

Manyong

et al. 2024

PLOS Sustain Transform

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Achieving the United Nation’s 2030 agenda which aims, among other goals, to ensure sustainable consumption and production patterns, requires a sustainable resource use model deployed at scale across global food systems. A circular bioeconomy (CBE) model of resource use has been proposed to reuse of organic waste in agricultural production to enhance food security. However, despite several initiatives recently introduced towards establishing a CBE in sub-Saharan Africa (SSA), minimal scientific efforts have been dedicated to understanding the association of CBE practices and food security. This study use data from 777 smallholder farm households from DRC, Ethiopia, Rwanda, and South Africa, to examine associations between three CBE practices (use of organic waste as compost, as livestock feed, and sorting waste) and household food security. Using different regression and propensity score matching models (PSM). Result reveal that using CBE practices more likely adds a 0.203 score of food insecurity access prevalence (HFIAP), 1.283 food insecurity access scale (HFIAS-score) and 0.277 for household dietary diversity score (HDDS) among households using CBE practiced groups. Associations regarding using organic waste as compost are generally positive but insignificant, while those with sorting waste are significantly and consistently negative. Thus, CBE innovations aiming to enhance household food security could prioritize organic waste valorization into livestock feed consider socio economic aspects such as access to land, access to market, education level, using mobile phone, income and city regions where interventions took place. However, prior sorting of waste is necessary to enable effective waste valorization.

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Human-Centric AI Adoption and Its Influence on Worker Productivity: An Empirical Investigation

Shchepkina,

Ramnarayan,

Dhaliwal

et al. 2024

BIO Web Conf.

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This empirical study looks at how the industrial sector is affected by the deployment of human-centric AI and finds some amazing changes in the workplace. Following implementation, employee productivity increased by 35.5%, demonstrating the significant advantages of AI in automating repetitive jobs and improving overall efficiency. Simultaneously, job satisfaction increased by a significant 20.6%, highlighting the alignment of AI with worker well-being. Employee skill development increased by 29.6% as a result of structured AI training, which is consistent with the larger goals of adopting AI that is human-centric. Significant cost reductions of up to 40% of budgets were also realized by departments, resulting in significant economic benefits. These revelations highlight the revolutionary potential of AI integration in Industry 5.0, promoting a harmonic convergence of intelligent technology and human skills for an industrial future that is more productive, happy, and financially stable.

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Determinants of adoption and intensity of improved haricot bean (Phaseolus vulgaris L.) varieties: A Socio-agronomic study from southern Ethiopia

Cited by 5 publications

References 39 publications

Analysis of the effect of climate-smart agricultural practices (CSAPs) on food security of maize production in Southeast, Nigeria

Analysis of the effect of climate-smart agricultural practices (CSAPs) on food security of maize production in Southeast, Nigeria

Circular bioeconomy practices and their associations with household food security in four RUNRES African city regions

Human-Centric AI Adoption and Its Influence on Worker Productivity: An Empirical Investigation

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